python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 3318 ' -s datou_3318 -M 0 -S 0 -U 95,95,120 import MySQLdb succeeded Import error (python version) ['/Users/moilerat/Documents/Fotonower/install/caffe/distribute/python', '/home/admin/workarea/git/Velours/python/prod', '/home/admin/workarea/install/caffe_cuda8_python3/python', '/home/admin/workarea/install/darknet', '/home/admin/workarea/git/Velours/python', '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python', '/home/admin/mtr/.credentials', '/home/admin/workarea/install/caffe/python', '/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools', '/home/admin/workarea/git/fotonowerpip', '/home/admin/workarea/install/segment-anything', '/home/admin/workarea/git/pyfvs', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/admin/.local/lib/python3.8/site-packages', '/usr/local/lib/python3.8/dist-packages', '/usr/lib/python3/dist-packages'] process id : 776321 load datou : 3318 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! Unexpected type for variable list_input_json ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0) Tried to parse : chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? [(photo_id, hashtag_id, hashtag_type, x0, x1, y0, y1, score, seg_temp, polygons), ...] was removed should we ? chemin de la photo was removed should we ? [ (photo_id_loc, hashtag_id, hashtag_type, x0, x1, y0, y1, score, None), ...] was removed should we ? chemin de la photo was removed should we ? id de la photo (peut être local ou global) was removed should we ? chemin de la photo was removed should we ? (x0, y0, x1, y1) was removed should we ? chemin de la photo was removed should we ? donnée sous forme de texte was removed should we ? [ (photo_id, photo_id_loc, hashtag_type, x0, x1, y0, y1, score), ...] was removed should we ? None was removed should we ? donnée sous forme de texte was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? id de la photo (peut être local ou global) was removed should we ? donnée sous forme de texte was removed should we ? donnée sous forme de texte was removed should we ? donnée sous forme de texte was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? None was removed should we ? donnée sous forme de nombre was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? donnée sous forme de texte was removed should we ? None was removed should we ? donnée sous forme de texte was removed should we ? [ptf_id0,ptf_id1...] was removed should we ? FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5275, 'learn_RUBBIA_REFUS_AMIENS_23', 16384, 25088, 'learn_RUBBIA_REFUS_AMIENS_23', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2021, 4, 23, 14, 19, 39), datetime.datetime(2021, 4, 23, 14, 19, 39)) load thcls load THCL from format json or kwargs add thcl : 2847 in CacheModelConfig load pdts add pdt : 5275 in CacheModelConfig Running datou job : batch_current TODO datou_current to load to do maybe to take outside batchDatouExec updating current state to 1 list_input_json: [] Current got : datou_id : 3318, datou_cur_ids : ['2741589'] with mtr_portfolio_ids : ['22246530'] and first list_photo_ids : [] new path : /proc/776321/ Inside batchDatouExec : verbose : 0 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! List Step Type Loaded in datou : mask_detect, crop_condition, rle_unique_nms_with_priority, ventilate_hashtags_in_portfolio, final, blur_detection, brightness, velours_tree, send_mail_cod, split_time_score over limit max, limiting to limit_max 40 list_input_json : [] origin We have 1 , BFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 28 ; length of list_pids : 28 ; length of list_args : 28 time to download the photos : 5.087552785873413 About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 10 step1:mask_detect Fri Apr 11 00:20:34 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Beginning of datou step mask_detect ! save_polygon : True begin detect begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 3453 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-04-11 00:20:37.335046: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-04-11 00:20:37.359140: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-04-11 00:20:37.361089: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f2ff4000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-04-11 00:20:37.361145: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-04-11 00:20:37.365080: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-04-11 00:20:37.510921: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x37b6d7a0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-04-11 00:20:37.510971: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-04-11 00:20:37.512010: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-04-11 00:20:37.512402: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-11 00:20:37.515840: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-11 00:20:37.518788: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-11 00:20:37.519333: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-11 00:20:37.522106: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-11 00:20:37.523452: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-11 00:20:37.528786: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-11 00:20:37.530121: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-11 00:20:37.530203: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-11 00:20:37.530968: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-11 00:20:37.530993: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-11 00:20:37.531006: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-11 00:20:37.532101: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3001 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead. 2025-04-11 00:20:37.837495: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-04-11 00:20:37.837602: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-11 00:20:37.837630: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-11 00:20:37.837656: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-11 00:20:37.837681: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-11 00:20:37.837705: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-11 00:20:37.837729: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-11 00:20:37.837754: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-11 00:20:37.839169: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-11 00:20:37.840558: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-04-11 00:20:37.840600: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-11 00:20:37.840616: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-11 00:20:37.840631: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-11 00:20:37.840645: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-11 00:20:37.840659: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-11 00:20:37.840673: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-11 00:20:37.840687: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-11 00:20:37.841535: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-11 00:20:37.841564: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-11 00:20:37.841573: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-11 00:20:37.841581: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-11 00:20:37.842480: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3001 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) Using TensorFlow backend. WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:396: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version. Instructions for updating: box_ind is deprecated, use box_indices instead 2025-04-11 00:20:39.956792: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 256.00M (268435456 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.957320: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 230.40M (241592064 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.957790: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 207.36M (217433088 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.958260: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 186.62M (195689984 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.958727: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 167.96M (176121088 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.959207: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 151.17M (158509056 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.959676: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 136.05M (142658304 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.960151: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 122.44M (128392704 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.960621: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 110.20M (115553536 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.961089: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 99.18M (103998208 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.961565: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 89.26M (93598464 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.962033: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 80.34M (84238848 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.962503: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 72.30M (75815168 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.962991: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 65.07M (68233728 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.963466: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 58.57M (61410560 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.963939: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 52.71M (55269632 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:20:39.964406: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 256.00M (268435456 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:703: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.cast` instead. WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:729: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.cast` instead. Inside mask_sub_process Inside mask_detect About to load cache.load_thcl_param To do loadFromThcl(), then load ParamDescType : thcl2847 thcls : [{'id': 2847, 'mtr_user_id': 31, 'name': 'learn_RUBBIA_REFUS_AMIENS_23', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'photo_desc_type': 5275, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'}] thcl {'id': 2847, 'mtr_user_id': 31, 'name': 'learn_RUBBIA_REFUS_AMIENS_23', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'photo_desc_type': 5275, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 5275 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5275, 'learn_RUBBIA_REFUS_AMIENS_23', 16384, 25088, 'learn_RUBBIA_REFUS_AMIENS_23', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2021, 4, 23, 14, 19, 39), datetime.datetime(2021, 4, 23, 14, 19, 39)) {'thcl': {'id': 2847, 'mtr_user_id': 31, 'name': 'learn_RUBBIA_REFUS_AMIENS_23', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'photo_desc_type': 5275, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['background', 'papier', 'carton', 'metal', 'pet_clair', 'autre', 'pehd', 'pet_fonce', 'environnement'], 'list_hashtags_csv': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'svm_hashtag_type_desc': 5275, 'photo_desc_type': 5275, 'pb_hashtag_id_or_classifier': 0} list_class_names : ['background', 'papier', 'carton', 'metal', 'pet_clair', 'autre', 'pehd', 'pet_fonce', 'environnement'] Configurations: BACKBONE resnet101 BACKBONE_SHAPES [[160 160] [ 80 80] [ 40 40] [ 20 20] [ 10 10]] BACKBONE_STRIDES [4, 8, 16, 32, 64] BATCH_SIZE 1 BBOX_STD_DEV [0.1 0.1 0.2 0.2] DETECTION_MAX_INSTANCES 100 DETECTION_MIN_CONFIDENCE 0.3 DETECTION_NMS_THRESHOLD 0.3 GPU_COUNT 1 IMAGES_PER_GPU 1 IMAGE_MAX_DIM 640 IMAGE_MIN_DIM 640 IMAGE_PADDING True IMAGE_SHAPE [640 640 3] LEARNING_MOMENTUM 0.9 LEARNING_RATE 0.001 LOSS_WEIGHTS {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0} MASK_POOL_SIZE 14 MASK_SHAPE [28, 28] MAX_GT_INSTANCES 100 MEAN_PIXEL [123.7 116.8 103.9] MINI_MASK_SHAPE (56, 56) NAME learn_RUBBIA_REFUS_AMIENS_23 NUM_CLASSES 9 POOL_SIZE 7 POST_NMS_ROIS_INFERENCE 1000 POST_NMS_ROIS_TRAINING 2000 ROI_POSITIVE_RATIO 0.33 RPN_ANCHOR_RATIOS [0.5, 1, 2] RPN_ANCHOR_SCALES (16, 32, 64, 128, 256) RPN_ANCHOR_STRIDE 1 RPN_BBOX_STD_DEV [0.1 0.1 0.2 0.2] RPN_NMS_THRESHOLD 0.7 RPN_TRAIN_ANCHORS_PER_IMAGE 256 STEPS_PER_EPOCH 1000 TRAIN_ROIS_PER_IMAGE 200 USE_MINI_MASK True USE_RPN_ROIS True VALIDATION_STEPS 50 WEIGHT_DECAY 0.0001 model_param file didn't exist model_name : learn_RUBBIA_REFUS_AMIENS_23 model_type : mask_rcnn list file need : ['mask_model.h5'] file exist in s3 : ['mask_model.h5'] file manque in s3 : [] 2025-04-11 00:21:00.872685: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-11 00:21:01.119783: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-11 00:21:02.810283: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.810357: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-11 00:21:02.810936: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.810956: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-11 00:21:02.818223: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.818265: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-11 00:21:02.818818: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.818834: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-11 00:21:02.825458: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.825493: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 466.56MiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-11 00:21:02.826046: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.826062: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 466.56MiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-11 00:21:02.857434: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.857477: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-11 00:21:02.858032: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.858049: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-11 00:21:02.863987: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.864024: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 243.25MiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-11 00:21:02.864589: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.864606: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 243.25MiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-11 00:21:02.899092: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.899679: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.901563: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.902122: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.946647: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.947261: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.949572: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.950130: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.976853: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.977397: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.978953: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.979515: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.985052: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.985623: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.987324: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.987890: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.993715: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.994291: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.995838: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:02.996409: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.023050: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.023632: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.024184: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.024737: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.028327: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.028895: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.044565: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.045148: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.045705: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.046257: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.058579: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.059211: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.059774: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.060325: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.064703: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.065274: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.070043: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.070635: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.083328: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.083913: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.088111: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.088680: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.089248: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.089799: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.090606: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.091191: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.101804: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.102372: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.102964: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.103520: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.104070: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.104619: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.119936: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.120508: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.150763: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.150838: W tensorflow/core/kernels/gpu_utils.cc:49] Failed to allocate memory for convolution redzone checking; skipping this check. This is benign and only means that we won't check cudnn for out-of-bounds reads and writes. This message will only be printed once. 2025-04-11 00:21:03.151487: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.152133: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.159777: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.160477: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.161178: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.161859: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.169802: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.170369: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.188721: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.192100: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.193184: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.194191: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.199606: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.200963: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.202291: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.203652: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.208209: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.215914: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.216942: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.227446: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.228788: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.229921: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.231053: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.232130: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-11 00:21:03.233016: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.43G (2611871744 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory local folder : /data/models_weight/learn_RUBBIA_REFUS_AMIENS_23 /data/models_weight/learn_RUBBIA_REFUS_AMIENS_23/mask_model.h5 size_local : 256009536 size in s3 : 256009536 create time local : 2021-08-09 09:43:22 create time in s3 : 2021-08-06 18:54:04 mask_model.h5 already exist and didn't need to update list_images length : 28 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 82 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 98 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 100 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 77 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 29 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 24.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 17 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 22 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 67 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 64 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 58 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 51 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 75 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 37 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 84 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 83 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 89 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 50 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 37 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 85 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 83 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 90 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 54 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 62 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 7.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 13 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 31 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 44 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 76 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 54 Detection mask done ! Trying to reset tf kernel 777123 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 2634 tf kernel not reseted sub process len(results) : 28 len(list_Values) 0 None max_time_sub_proc : 3600 parent process len(results) : 28 len(list_Values) 0 process is alive process is alive process is alive finish correctly or not : True after detect begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 3827 list_Values should be empty [] To do loadFromThcl(), then load ParamDescType : thcl2847 Catched exception ! Connect or reconnect ! thcls : [{'id': 2847, 'mtr_user_id': 31, 'name': 'learn_RUBBIA_REFUS_AMIENS_23', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'photo_desc_type': 5275, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'}] thcl {'id': 2847, 'mtr_user_id': 31, 'name': 'learn_RUBBIA_REFUS_AMIENS_23', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'photo_desc_type': 5275, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 5275 ['background', 'papier', 'carton', 'metal', 'pet_clair', 'autre', 'pehd', 'pet_fonce', 'environnement'] time for calcul the mask position with numpy : 0.727977991104126 nb_pixel_total : 352295 time to create 1 rle with new method : 0.04684782028198242 length of segment : 858 time for calcul the mask position with numpy : 0.0756995677947998 nb_pixel_total : 20888 time to create 1 rle with old method : 0.02731919288635254 length of segment : 188 time for calcul the mask position with numpy : 0.06378364562988281 nb_pixel_total : 24310 time to create 1 rle with old method : 0.03205227851867676 length of segment : 178 time for calcul the mask position with numpy : 0.04863286018371582 nb_pixel_total : 12143 time to create 1 rle with old method : 0.01732468605041504 length of segment : 180 time for calcul the mask position with numpy : 0.0837247371673584 nb_pixel_total : 26148 time to create 1 rle with old method : 0.0371394157409668 length of segment : 185 time for calcul the mask position with numpy : 0.561331033706665 nb_pixel_total : 239113 time to create 1 rle with new method : 0.17948627471923828 length of segment : 788 time for calcul the mask position with numpy : 0.09084486961364746 nb_pixel_total : 10660 time to create 1 rle with old method : 0.016208648681640625 length of segment : 270 time for calcul the mask position with numpy : 0.10364484786987305 nb_pixel_total : 92903 time to create 1 rle with old method : 0.10311365127563477 length of segment : 413 time for calcul the mask position with numpy : 0.027748823165893555 nb_pixel_total : 22489 time to create 1 rle with old method : 0.02741861343383789 length of segment : 142 time for calcul the mask position with numpy : 0.032349348068237305 nb_pixel_total : 14876 time to create 1 rle with old method : 0.02252483367919922 length of segment : 73 time for calcul the mask position with numpy : 0.029831409454345703 nb_pixel_total : 6722 time to create 1 rle with old method : 0.01153111457824707 length of segment : 86 time for calcul the mask position with numpy : 0.026137590408325195 nb_pixel_total : 16352 time to create 1 rle with old method : 0.02361297607421875 length of segment : 175 time for calcul the mask position with numpy : 0.06525039672851562 nb_pixel_total : 18799 time to create 1 rle with old method : 0.026956558227539062 length of segment : 258 time for calcul the mask position with numpy : 0.0894155502319336 nb_pixel_total : 28628 time to create 1 rle with old method : 0.03649163246154785 length of segment : 333 time for calcul the mask position with numpy : 0.08152294158935547 nb_pixel_total : 17800 time to create 1 rle with old method : 0.024602413177490234 length of segment : 199 time for calcul the mask position with numpy : 0.05983424186706543 nb_pixel_total : 10128 time to create 1 rle with old method : 0.016396284103393555 length of segment : 114 time for calcul the mask position with numpy : 0.14203548431396484 nb_pixel_total : 55411 time to create 1 rle with old method : 0.06365585327148438 length of segment : 379 time for calcul the mask position with numpy : 0.19777464866638184 nb_pixel_total : 49293 time to create 1 rle with old method : 0.0549159049987793 length of segment : 383 time for calcul the mask position with numpy : 0.16503238677978516 nb_pixel_total : 46543 time to create 1 rle with old method : 0.05563974380493164 length of segment : 339 time for calcul the mask position with numpy : 0.023320913314819336 nb_pixel_total : 21647 time to create 1 rle with old method : 0.030059099197387695 length of segment : 221 time for calcul the mask position with numpy : 0.046807289123535156 nb_pixel_total : 11021 time to create 1 rle with old method : 0.018854856491088867 length of segment : 254 time for calcul the mask position with numpy : 0.0076868534088134766 nb_pixel_total : 12210 time to create 1 rle with old method : 0.013939857482910156 length of segment : 162 time for calcul the mask position with numpy : 0.02359175682067871 nb_pixel_total : 7074 time to create 1 rle with old method : 0.012508392333984375 length of segment : 122 time for calcul the mask position with numpy : 0.016800403594970703 nb_pixel_total : 16667 time to create 1 rle with old method : 0.023833751678466797 length of segment : 138 time for calcul the mask position with numpy : 0.07134795188903809 nb_pixel_total : 64194 time to create 1 rle with old method : 0.10053038597106934 length of segment : 417 time for calcul the mask position with numpy : 0.007714748382568359 nb_pixel_total : 8501 time to create 1 rle with old method : 0.010755538940429688 length of segment : 70 time for calcul the mask position with numpy : 0.06248068809509277 nb_pixel_total : 24362 time to create 1 rle with old method : 0.029595613479614258 length of segment : 162 time for calcul the mask position with numpy : 0.02361583709716797 nb_pixel_total : 9119 time to create 1 rle with old method : 0.014603376388549805 length of segment : 141 time for calcul the mask position with numpy : 0.050186872482299805 nb_pixel_total : 17191 time to create 1 rle with old method : 0.023191213607788086 length of segment : 175 time for calcul the mask position with numpy : 0.0004432201385498047 nb_pixel_total : 18139 time to create 1 rle with old method : 0.02047109603881836 length of segment : 214 time for calcul the mask position with numpy : 0.06444072723388672 nb_pixel_total : 29781 time to create 1 rle with old method : 0.0350799560546875 length of segment : 186 time for calcul the mask position with numpy : 0.05284261703491211 nb_pixel_total : 20008 time to create 1 rle with old method : 0.027852296829223633 length of segment : 141 time for calcul the mask position with numpy : 0.09666728973388672 nb_pixel_total : 40361 time to create 1 rle with old method : 0.04911947250366211 length of segment : 289 time for calcul the mask position with numpy : 0.020908355712890625 nb_pixel_total : 11819 time to create 1 rle with old method : 0.018137454986572266 length of segment : 213 time for calcul the mask position with numpy : 0.0664515495300293 nb_pixel_total : 33901 time to create 1 rle with old method : 0.04484915733337402 length of segment : 286 time for calcul the mask position with numpy : 0.0714876651763916 nb_pixel_total : 32686 time to create 1 rle with old method : 0.04275918006896973 length of segment : 274 time for calcul the mask position with numpy : 0.13336920738220215 nb_pixel_total : 28760 time to create 1 rle with old method : 0.03545570373535156 length of segment : 432 time for calcul the mask position with numpy : 0.14346528053283691 nb_pixel_total : 121770 time to create 1 rle with old method : 0.13823556900024414 length of segment : 539 time for calcul the mask position with numpy : 0.10816693305969238 nb_pixel_total : 81009 time to create 1 rle with old method : 0.10035920143127441 length of segment : 312 time for calcul the mask position with numpy : 0.03899884223937988 nb_pixel_total : 9209 time to create 1 rle with old method : 0.018449068069458008 length of segment : 250 time for calcul the mask position with numpy : 0.04401969909667969 nb_pixel_total : 19803 time to create 1 rle with old method : 0.025900840759277344 length of segment : 202 time for calcul the mask position with numpy : 0.04932904243469238 nb_pixel_total : 10804 time to create 1 rle with old method : 0.016880035400390625 length of segment : 265 time for calcul the mask position with numpy : 0.17452073097229004 nb_pixel_total : 121133 time to create 1 rle with old method : 0.13657569885253906 length of segment : 547 time for calcul the mask position with numpy : 0.022047758102416992 nb_pixel_total : 10117 time to create 1 rle with old method : 0.015483617782592773 length of segment : 120 time for calcul the mask position with numpy : 0.15079593658447266 nb_pixel_total : 24497 time to create 1 rle with old method : 0.029032468795776367 length of segment : 155 time for calcul the mask position with numpy : 0.0611729621887207 nb_pixel_total : 19485 time to create 1 rle with old method : 0.023819446563720703 length of segment : 145 time for calcul the mask position with numpy : 0.06262803077697754 nb_pixel_total : 13769 time to create 1 rle with old method : 0.01959991455078125 length of segment : 156 time for calcul the mask position with numpy : 0.11789131164550781 nb_pixel_total : 40172 time to create 1 rle with old method : 0.048171043395996094 length of segment : 189 time for calcul the mask position with numpy : 0.07536125183105469 nb_pixel_total : 18686 time to create 1 rle with old method : 0.025916576385498047 length of segment : 188 time for calcul the mask position with numpy : 0.047473907470703125 nb_pixel_total : 10141 time to create 1 rle with old method : 0.015129804611206055 length of segment : 156 time for calcul the mask position with numpy : 0.08888554573059082 nb_pixel_total : 21367 time to create 1 rle with old method : 0.027576208114624023 length of segment : 173 time for calcul the mask position with numpy : 0.035317182540893555 nb_pixel_total : 8701 time to create 1 rle with old method : 0.014398574829101562 length of segment : 99 time for calcul the mask position with numpy : 0.02730417251586914 nb_pixel_total : 8749 time to create 1 rle with old method : 0.015421390533447266 length of segment : 155 time for calcul the mask position with numpy : 0.10182356834411621 nb_pixel_total : 28637 time to create 1 rle with old method : 0.0395054817199707 length of segment : 248 time for calcul the mask position with numpy : 0.046158552169799805 nb_pixel_total : 12871 time to create 1 rle with old method : 0.017769575119018555 length of segment : 146 time for calcul the mask position with numpy : 0.12670183181762695 nb_pixel_total : 25151 time to create 1 rle with old method : 0.039238929748535156 length of segment : 182 time for calcul the mask position with numpy : 0.18062686920166016 nb_pixel_total : 62975 time to create 1 rle with old method : 0.09431934356689453 length of segment : 366 time for calcul the mask position with numpy : 0.14739274978637695 nb_pixel_total : 51571 time to create 1 rle with old method : 0.058914899826049805 length of segment : 357 time for calcul the mask position with numpy : 0.03101491928100586 nb_pixel_total : 10648 time to create 1 rle with old method : 0.016851186752319336 length of segment : 181 time for calcul the mask position with numpy : 0.057614803314208984 nb_pixel_total : 9586 time to create 1 rle with old method : 0.013935565948486328 length of segment : 118 time for calcul the mask position with numpy : 0.10968565940856934 nb_pixel_total : 23880 time to create 1 rle with old method : 0.043851375579833984 length of segment : 186 time for calcul the mask position with numpy : 0.18182015419006348 nb_pixel_total : 87312 time to create 1 rle with old method : 0.09752082824707031 length of segment : 355 time for calcul the mask position with numpy : 0.06252121925354004 nb_pixel_total : 20633 time to create 1 rle with old method : 0.026959657669067383 length of segment : 215 time for calcul the mask position with numpy : 0.034053802490234375 nb_pixel_total : 8391 time to create 1 rle with old method : 0.015225648880004883 length of segment : 121 time for calcul the mask position with numpy : 0.051351070404052734 nb_pixel_total : 27854 time to create 1 rle with old method : 0.034444332122802734 length of segment : 167 time for calcul the mask position with numpy : 0.06315469741821289 nb_pixel_total : 13597 time to create 1 rle with old method : 0.020119905471801758 length of segment : 213 time for calcul the mask position with numpy : 0.05735492706298828 nb_pixel_total : 9128 time to create 1 rle with old method : 0.014857292175292969 length of segment : 114 time for calcul the mask position with numpy : 0.1709432601928711 nb_pixel_total : 36908 time to create 1 rle with old method : 0.046410560607910156 length of segment : 338 time for calcul the mask position with numpy : 0.14263629913330078 nb_pixel_total : 47566 time to create 1 rle with old method : 0.05233573913574219 length of segment : 233 time for calcul the mask position with numpy : 0.06431198120117188 nb_pixel_total : 27779 time to create 1 rle with old method : 0.03487038612365723 length of segment : 208 time for calcul the mask position with numpy : 0.14066529273986816 nb_pixel_total : 66743 time to create 1 rle with old method : 0.0719139575958252 length of segment : 340 time for calcul the mask position with numpy : 0.08946776390075684 nb_pixel_total : 24151 time to create 1 rle with old method : 0.03046274185180664 length of segment : 199 time for calcul the mask position with numpy : 0.05972790718078613 nb_pixel_total : 18963 time to create 1 rle with old method : 0.027103424072265625 length of segment : 198 time for calcul the mask position with numpy : 0.018879413604736328 nb_pixel_total : 7911 time to create 1 rle with old method : 0.013705253601074219 length of segment : 73 time for calcul the mask position with numpy : 0.003570079803466797 nb_pixel_total : 8186 time to create 1 rle with old method : 0.010381698608398438 length of segment : 91 time for calcul the mask position with numpy : 0.11791348457336426 nb_pixel_total : 42769 time to create 1 rle with old method : 0.05764436721801758 length of segment : 329 time for calcul the mask position with numpy : 0.08568358421325684 nb_pixel_total : 26433 time to create 1 rle with old method : 0.03239583969116211 length of segment : 299 time for calcul the mask position with numpy : 0.1819133758544922 nb_pixel_total : 85479 time to create 1 rle with old method : 0.09627676010131836 length of segment : 420 time for calcul the mask position with numpy : 0.11156392097473145 nb_pixel_total : 25097 time to create 1 rle with old method : 0.03238534927368164 length of segment : 205 time for calcul the mask position with numpy : 0.00520014762878418 nb_pixel_total : 3542 time to create 1 rle with old method : 0.00416111946105957 length of segment : 74 time for calcul the mask position with numpy : 0.025324583053588867 nb_pixel_total : 14075 time to create 1 rle with old method : 0.020102977752685547 length of segment : 141 time for calcul the mask position with numpy : 0.03450751304626465 nb_pixel_total : 8619 time to create 1 rle with old method : 0.014557123184204102 length of segment : 108 time for calcul the mask position with numpy : 0.07746434211730957 nb_pixel_total : 20473 time to create 1 rle with old method : 0.026612043380737305 length of segment : 319 time for calcul the mask position with numpy : 0.003967761993408203 nb_pixel_total : 4953 time to create 1 rle with old method : 0.009794473648071289 length of segment : 74 time for calcul the mask position with numpy : 0.10363173484802246 nb_pixel_total : 30312 time to create 1 rle with old method : 0.03849291801452637 length of segment : 229 time for calcul the mask position with numpy : 0.08597731590270996 nb_pixel_total : 24090 time to create 1 rle with old method : 0.029134035110473633 length of segment : 203 time for calcul the mask position with numpy : 0.015606164932250977 nb_pixel_total : 7024 time to create 1 rle with old method : 0.011762380599975586 length of segment : 157 time for calcul the mask position with numpy : 0.08791351318359375 nb_pixel_total : 28239 time to create 1 rle with old method : 0.0354156494140625 length of segment : 185 time for calcul the mask position with numpy : 0.14493894577026367 nb_pixel_total : 45449 time to create 1 rle with old method : 0.055486202239990234 length of segment : 311 time for calcul the mask position with numpy : 0.059519290924072266 nb_pixel_total : 16384 time to create 1 rle with old method : 0.036550045013427734 length of segment : 273 time for calcul the mask position with numpy : 0.07981276512145996 nb_pixel_total : 28506 time to create 1 rle with old method : 0.03721213340759277 length of segment : 233 time for calcul the mask position with numpy : 0.02292346954345703 nb_pixel_total : 6520 time to create 1 rle with old method : 0.01276397705078125 length of segment : 119 time for calcul the mask position with numpy : 0.05874443054199219 nb_pixel_total : 13467 time to create 1 rle with old method : 0.01774883270263672 length of segment : 137 time for calcul the mask position with numpy : 0.04625272750854492 nb_pixel_total : 18693 time to create 1 rle with old method : 0.026186704635620117 length of segment : 200 time for calcul the mask position with numpy : 0.07331633567810059 nb_pixel_total : 23507 time to create 1 rle with old method : 0.03027796745300293 length of segment : 153 time for calcul the mask position with numpy : 0.0917813777923584 nb_pixel_total : 24309 time to create 1 rle with old method : 0.04058218002319336 length of segment : 144 time for calcul the mask position with numpy : 0.1704392433166504 nb_pixel_total : 46103 time to create 1 rle with old method : 0.05470633506774902 length of segment : 340 time for calcul the mask position with numpy : 0.06981396675109863 nb_pixel_total : 21531 time to create 1 rle with old method : 0.029474258422851562 length of segment : 170 time for calcul the mask position with numpy : 0.07626748085021973 nb_pixel_total : 19012 time to create 1 rle with old method : 0.02814459800720215 length of segment : 260 time for calcul the mask position with numpy : 0.17322826385498047 nb_pixel_total : 53292 time to create 1 rle with old method : 0.06169533729553223 length of segment : 295 time for calcul the mask position with numpy : 0.06001591682434082 nb_pixel_total : 11043 time to create 1 rle with old method : 0.017223119735717773 length of segment : 182 time for calcul the mask position with numpy : 0.21027636528015137 nb_pixel_total : 51372 time to create 1 rle with old method : 0.058753252029418945 length of segment : 364 time for calcul the mask position with numpy : 0.02844691276550293 nb_pixel_total : 6944 time to create 1 rle with old method : 0.012006044387817383 length of segment : 80 time for calcul the mask position with numpy : 0.12097048759460449 nb_pixel_total : 29585 time to create 1 rle with old method : 0.03590106964111328 length of segment : 258 time for calcul the mask position with numpy : 0.06599283218383789 nb_pixel_total : 24837 time to create 1 rle with old method : 0.031067609786987305 length of segment : 208 time for calcul the mask position with numpy : 0.10967779159545898 nb_pixel_total : 38382 time to create 1 rle with old method : 0.06481575965881348 length of segment : 187 time for calcul the mask position with numpy : 0.042818546295166016 nb_pixel_total : 16390 time to create 1 rle with old method : 0.01865220069885254 length of segment : 149 time for calcul the mask position with numpy : 0.09369659423828125 nb_pixel_total : 22828 time to create 1 rle with old method : 0.029503822326660156 length of segment : 150 time for calcul the mask position with numpy : 0.23536443710327148 nb_pixel_total : 83239 time to create 1 rle with old method : 0.09433746337890625 length of segment : 372 time for calcul the mask position with numpy : 0.07316446304321289 nb_pixel_total : 14436 time to create 1 rle with old method : 0.03109884262084961 length of segment : 174 time for calcul the mask position with numpy : 0.05430459976196289 nb_pixel_total : 10980 time to create 1 rle with old method : 0.01689934730529785 length of segment : 148 time for calcul the mask position with numpy : 0.09872794151306152 nb_pixel_total : 13014 time to create 1 rle with old method : 0.017389535903930664 length of segment : 282 time for calcul the mask position with numpy : 0.002604246139526367 nb_pixel_total : 4724 time to create 1 rle with old method : 0.006346940994262695 length of segment : 92 time for calcul the mask position with numpy : 0.06090664863586426 nb_pixel_total : 19992 time to create 1 rle with old method : 0.026776552200317383 length of segment : 200 time for calcul the mask position with numpy : 0.09127974510192871 nb_pixel_total : 21656 time to create 1 rle with old method : 0.035680532455444336 length of segment : 197 time for calcul the mask position with numpy : 0.033333778381347656 nb_pixel_total : 9529 time to create 1 rle with old method : 0.01581263542175293 length of segment : 121 time for calcul the mask position with numpy : 0.07881975173950195 nb_pixel_total : 13158 time to create 1 rle with old method : 0.019687175750732422 length of segment : 191 time for calcul the mask position with numpy : 0.035411834716796875 nb_pixel_total : 18718 time to create 1 rle with old method : 0.025914907455444336 length of segment : 170 time for calcul the mask position with numpy : 0.14389729499816895 nb_pixel_total : 45314 time to create 1 rle with old method : 0.05689072608947754 length of segment : 343 time for calcul the mask position with numpy : 0.2017045021057129 nb_pixel_total : 55894 time to create 1 rle with old method : 0.06902694702148438 length of segment : 368 time for calcul the mask position with numpy : 0.05816984176635742 nb_pixel_total : 23743 time to create 1 rle with old method : 0.030246734619140625 length of segment : 229 time for calcul the mask position with numpy : 0.16118526458740234 nb_pixel_total : 36305 time to create 1 rle with old method : 0.05848336219787598 length of segment : 374 time for calcul the mask position with numpy : 0.10695290565490723 nb_pixel_total : 24512 time to create 1 rle with old method : 0.04392647743225098 length of segment : 284 time for calcul the mask position with numpy : 0.04063773155212402 nb_pixel_total : 11228 time to create 1 rle with old method : 0.01833510398864746 length of segment : 158 time for calcul the mask position with numpy : 0.055938720703125 nb_pixel_total : 8203 time to create 1 rle with old method : 0.013948440551757812 length of segment : 181 time for calcul the mask position with numpy : 0.02041769027709961 nb_pixel_total : 7253 time to create 1 rle with old method : 0.01348876953125 length of segment : 154 time for calcul the mask position with numpy : 0.06507086753845215 nb_pixel_total : 29779 time to create 1 rle with old method : 0.04764914512634277 length of segment : 287 time for calcul the mask position with numpy : 0.08815717697143555 nb_pixel_total : 47179 time to create 1 rle with old method : 0.07011103630065918 length of segment : 370 time for calcul the mask position with numpy : 0.07050347328186035 nb_pixel_total : 14795 time to create 1 rle with old method : 0.025092124938964844 length of segment : 256 time for calcul the mask position with numpy : 0.12065243721008301 nb_pixel_total : 40668 time to create 1 rle with old method : 0.05609941482543945 length of segment : 275 time for calcul the mask position with numpy : 0.07443356513977051 nb_pixel_total : 16345 time to create 1 rle with old method : 0.026773929595947266 length of segment : 239 time for calcul the mask position with numpy : 0.05830049514770508 nb_pixel_total : 28477 time to create 1 rle with old method : 0.03696250915527344 length of segment : 202 time for calcul the mask position with numpy : 0.08367633819580078 nb_pixel_total : 64948 time to create 1 rle with old method : 0.07761979103088379 length of segment : 282 time for calcul the mask position with numpy : 0.09349822998046875 nb_pixel_total : 37059 time to create 1 rle with old method : 0.040635108947753906 length of segment : 265 time for calcul the mask position with numpy : 0.0009944438934326172 nb_pixel_total : 6110 time to create 1 rle with old method : 0.007001638412475586 length of segment : 82 time for calcul the mask position with numpy : 0.04508042335510254 nb_pixel_total : 23118 time to create 1 rle with old method : 0.030164003372192383 length of segment : 175 time for calcul the mask position with numpy : 0.001565694808959961 nb_pixel_total : 11035 time to create 1 rle with old method : 0.01211094856262207 length of segment : 149 time for calcul the mask position with numpy : 0.060343027114868164 nb_pixel_total : 19279 time to create 1 rle with old method : 0.02517867088317871 length of segment : 183 time for calcul the mask position with numpy : 0.023445844650268555 nb_pixel_total : 20310 time to create 1 rle with old method : 0.029190540313720703 length of segment : 206 time for calcul the mask position with numpy : 0.006349802017211914 nb_pixel_total : 2327 time to create 1 rle with old method : 0.0031995773315429688 length of segment : 139 time for calcul the mask position with numpy : 0.07671165466308594 nb_pixel_total : 35390 time to create 1 rle with old method : 0.04150247573852539 length of segment : 422 time for calcul the mask position with numpy : 0.023927927017211914 nb_pixel_total : 14320 time to create 1 rle with old method : 0.021558284759521484 length of segment : 135 time for calcul the mask position with numpy : 0.012208700180053711 nb_pixel_total : 20005 time to create 1 rle with old method : 0.03516340255737305 length of segment : 327 time for calcul the mask position with numpy : 0.02269911766052246 nb_pixel_total : 5957 time to create 1 rle with old method : 0.009984493255615234 length of segment : 71 time for calcul the mask position with numpy : 0.03834819793701172 nb_pixel_total : 9110 time to create 1 rle with old method : 0.01616978645324707 length of segment : 84 time for calcul the mask position with numpy : 0.08688688278198242 nb_pixel_total : 31157 time to create 1 rle with old method : 0.03724527359008789 length of segment : 221 time for calcul the mask position with numpy : 0.016477108001708984 nb_pixel_total : 8681 time to create 1 rle with old method : 0.012924671173095703 length of segment : 272 time for calcul the mask position with numpy : 0.022481679916381836 nb_pixel_total : 10586 time to create 1 rle with old method : 0.014879226684570312 length of segment : 247 time for calcul the mask position with numpy : 0.04215836524963379 nb_pixel_total : 26390 time to create 1 rle with old method : 0.055008888244628906 length of segment : 166 time for calcul the mask position with numpy : 0.01668834686279297 nb_pixel_total : 4995 time to create 1 rle with old method : 0.007294893264770508 length of segment : 93 time for calcul the mask position with numpy : 0.018316268920898438 nb_pixel_total : 21869 time to create 1 rle with old method : 0.02956986427307129 length of segment : 199 time for calcul the mask position with numpy : 0.04381442070007324 nb_pixel_total : 11185 time to create 1 rle with old method : 0.02122640609741211 length of segment : 102 time for calcul the mask position with numpy : 0.01767134666442871 nb_pixel_total : 12610 time to create 1 rle with old method : 0.014319896697998047 length of segment : 122 time for calcul the mask position with numpy : 0.0907893180847168 nb_pixel_total : 23876 time to create 1 rle with old method : 0.03149700164794922 length of segment : 209 time for calcul the mask position with numpy : 0.029330730438232422 nb_pixel_total : 10874 time to create 1 rle with old method : 0.018283843994140625 length of segment : 171 time for calcul the mask position with numpy : 0.006279706954956055 nb_pixel_total : 9455 time to create 1 rle with old method : 0.01598668098449707 length of segment : 116 time for calcul the mask position with numpy : 0.022728681564331055 nb_pixel_total : 10361 time to create 1 rle with old method : 0.011934041976928711 length of segment : 115 time for calcul the mask position with numpy : 0.030984878540039062 nb_pixel_total : 19060 time to create 1 rle with old method : 0.025376319885253906 length of segment : 164 time for calcul the mask position with numpy : 0.056897640228271484 nb_pixel_total : 11158 time to create 1 rle with old method : 0.01676034927368164 length of segment : 160 time for calcul the mask position with numpy : 0.11138248443603516 nb_pixel_total : 35408 time to create 1 rle with old method : 0.04791975021362305 length of segment : 209 time for calcul the mask position with numpy : 0.17055368423461914 nb_pixel_total : 78541 time to create 1 rle with old method : 0.09250950813293457 length of segment : 422 time for calcul the mask position with numpy : 0.060251474380493164 nb_pixel_total : 18101 time to create 1 rle with old method : 0.026563405990600586 length of segment : 106 time for calcul the mask position with numpy : 0.03572225570678711 nb_pixel_total : 10249 time to create 1 rle with old method : 0.016233444213867188 length of segment : 107 time for calcul the mask position with numpy : 0.14657926559448242 nb_pixel_total : 33507 time to create 1 rle with old method : 0.044051170349121094 length of segment : 258 time for calcul the mask position with numpy : 0.03315401077270508 nb_pixel_total : 7984 time to create 1 rle with old method : 0.009293794631958008 length of segment : 123 time for calcul the mask position with numpy : 0.1085660457611084 nb_pixel_total : 29957 time to create 1 rle with old method : 0.04597616195678711 length of segment : 328 time for calcul the mask position with numpy : 0.11724233627319336 nb_pixel_total : 38390 time to create 1 rle with old method : 0.04582381248474121 length of segment : 287 time for calcul the mask position with numpy : 0.11023402214050293 nb_pixel_total : 59190 time to create 1 rle with old method : 0.1013174057006836 length of segment : 389 time for calcul the mask position with numpy : 0.06288743019104004 nb_pixel_total : 26699 time to create 1 rle with old method : 0.03654313087463379 length of segment : 202 time for calcul the mask position with numpy : 0.09237456321716309 nb_pixel_total : 31925 time to create 1 rle with old method : 0.046088218688964844 length of segment : 252 time for calcul the mask position with numpy : 0.0788125991821289 nb_pixel_total : 17452 time to create 1 rle with old method : 0.023791790008544922 length of segment : 281 time for calcul the mask position with numpy : 0.16826820373535156 nb_pixel_total : 60105 time to create 1 rle with old method : 0.06948041915893555 length of segment : 328 time for calcul the mask position with numpy : 0.047168731689453125 nb_pixel_total : 9952 time to create 1 rle with old method : 0.014125823974609375 length of segment : 139 time for calcul the mask position with numpy : 0.04476642608642578 nb_pixel_total : 22816 time to create 1 rle with old method : 0.032196760177612305 length of segment : 177 time for calcul the mask position with numpy : 0.008994579315185547 nb_pixel_total : 5728 time to create 1 rle with old method : 0.009289264678955078 length of segment : 102 time for calcul the mask position with numpy : 0.017678260803222656 nb_pixel_total : 32848 time to create 1 rle with old method : 0.04194355010986328 length of segment : 242 time for calcul the mask position with numpy : 0.08178973197937012 nb_pixel_total : 19491 time to create 1 rle with old method : 0.027643442153930664 length of segment : 147 time for calcul the mask position with numpy : 0.006297111511230469 nb_pixel_total : 5612 time to create 1 rle with old method : 0.00639653205871582 length of segment : 77 time for calcul the mask position with numpy : 0.0469365119934082 nb_pixel_total : 11602 time to create 1 rle with old method : 0.017864704132080078 length of segment : 222 time for calcul the mask position with numpy : 0.059571027755737305 nb_pixel_total : 15438 time to create 1 rle with old method : 0.02225041389465332 length of segment : 190 time for calcul the mask position with numpy : 0.016731739044189453 nb_pixel_total : 11791 time to create 1 rle with old method : 0.01925802230834961 length of segment : 118 time for calcul the mask position with numpy : 0.02113032341003418 nb_pixel_total : 13663 time to create 1 rle with old method : 0.021266460418701172 length of segment : 112 time for calcul the mask position with numpy : 0.08013153076171875 nb_pixel_total : 28652 time to create 1 rle with old method : 0.0401310920715332 length of segment : 221 time for calcul the mask position with numpy : 0.018559694290161133 nb_pixel_total : 5114 time to create 1 rle with old method : 0.008349895477294922 length of segment : 49 time for calcul the mask position with numpy : 0.1259157657623291 nb_pixel_total : 100196 time to create 1 rle with old method : 0.1165018081665039 length of segment : 365 time for calcul the mask position with numpy : 0.8598480224609375 nb_pixel_total : 697395 time to create 1 rle with new method : 0.06963038444519043 length of segment : 1102 time for calcul the mask position with numpy : 0.020258665084838867 nb_pixel_total : 14060 time to create 1 rle with old method : 0.02163839340209961 length of segment : 125 time for calcul the mask position with numpy : 0.06426358222961426 nb_pixel_total : 56144 time to create 1 rle with old method : 0.06508827209472656 length of segment : 472 time for calcul the mask position with numpy : 0.008391857147216797 nb_pixel_total : 21424 time to create 1 rle with old method : 0.024825096130371094 length of segment : 176 time for calcul the mask position with numpy : 0.04827547073364258 nb_pixel_total : 19168 time to create 1 rle with old method : 0.024405717849731445 length of segment : 165 time for calcul the mask position with numpy : 0.22568297386169434 nb_pixel_total : 87041 time to create 1 rle with old method : 0.10026144981384277 length of segment : 391 time for calcul the mask position with numpy : 0.00043320655822753906 nb_pixel_total : 11020 time to create 1 rle with old method : 0.014104843139648438 length of segment : 159 time for calcul the mask position with numpy : 0.05027198791503906 nb_pixel_total : 36458 time to create 1 rle with old method : 0.04781031608581543 length of segment : 219 time for calcul the mask position with numpy : 0.24519586563110352 nb_pixel_total : 224112 time to create 1 rle with new method : 0.013457298278808594 length of segment : 557 time for calcul the mask position with numpy : 0.04289364814758301 nb_pixel_total : 41602 time to create 1 rle with old method : 0.04634284973144531 length of segment : 267 time for calcul the mask position with numpy : 0.07304620742797852 nb_pixel_total : 18162 time to create 1 rle with old method : 0.02375054359436035 length of segment : 190 time for calcul the mask position with numpy : 0.04490971565246582 nb_pixel_total : 54846 time to create 1 rle with old method : 0.06338262557983398 length of segment : 171 time for calcul the mask position with numpy : 0.043717145919799805 nb_pixel_total : 52513 time to create 1 rle with old method : 0.06407594680786133 length of segment : 543 time for calcul the mask position with numpy : 0.04617762565612793 nb_pixel_total : 36966 time to create 1 rle with old method : 0.04503297805786133 length of segment : 370 time for calcul the mask position with numpy : 0.13453412055969238 nb_pixel_total : 128005 time to create 1 rle with old method : 0.14158272743225098 length of segment : 555 time for calcul the mask position with numpy : 0.033458709716796875 nb_pixel_total : 16087 time to create 1 rle with old method : 0.020566463470458984 length of segment : 137 time for calcul the mask position with numpy : 0.034177303314208984 nb_pixel_total : 18829 time to create 1 rle with old method : 0.03253340721130371 length of segment : 127 time for calcul the mask position with numpy : 0.037248849868774414 nb_pixel_total : 19652 time to create 1 rle with old method : 0.02365708351135254 length of segment : 169 time for calcul the mask position with numpy : 0.10769796371459961 nb_pixel_total : 103933 time to create 1 rle with old method : 0.12377595901489258 length of segment : 298 time for calcul the mask position with numpy : 0.010560274124145508 nb_pixel_total : 13114 time to create 1 rle with old method : 0.018950462341308594 length of segment : 116 time for calcul the mask position with numpy : 0.022582054138183594 nb_pixel_total : 11627 time to create 1 rle with old method : 0.018422603607177734 length of segment : 121 time for calcul the mask position with numpy : 0.022029638290405273 nb_pixel_total : 27742 time to create 1 rle with old method : 0.034958839416503906 length of segment : 124 time for calcul the mask position with numpy : 0.014426231384277344 nb_pixel_total : 18362 time to create 1 rle with old method : 0.02410292625427246 length of segment : 143 time for calcul the mask position with numpy : 0.1597280502319336 nb_pixel_total : 135346 time to create 1 rle with old method : 0.14779019355773926 length of segment : 385 time for calcul the mask position with numpy : 0.013178110122680664 nb_pixel_total : 19462 time to create 1 rle with old method : 0.024779319763183594 length of segment : 123 time for calcul the mask position with numpy : 0.003981351852416992 nb_pixel_total : 8285 time to create 1 rle with old method : 0.01089620590209961 length of segment : 95 time for calcul the mask position with numpy : 0.023569345474243164 nb_pixel_total : 7433 time to create 1 rle with old method : 0.01283407211303711 length of segment : 120 time for calcul the mask position with numpy : 0.037284135818481445 nb_pixel_total : 29059 time to create 1 rle with old method : 0.03575778007507324 length of segment : 207 time for calcul the mask position with numpy : 0.015837669372558594 nb_pixel_total : 22508 time to create 1 rle with old method : 0.029340028762817383 length of segment : 302 time for calcul the mask position with numpy : 0.0596921443939209 nb_pixel_total : 47583 time to create 1 rle with old method : 0.05878186225891113 length of segment : 243 time for calcul the mask position with numpy : 0.0161435604095459 nb_pixel_total : 53334 time to create 1 rle with old method : 0.06357741355895996 length of segment : 254 time for calcul the mask position with numpy : 0.033434152603149414 nb_pixel_total : 21720 time to create 1 rle with old method : 0.028756141662597656 length of segment : 174 time for calcul the mask position with numpy : 0.020900726318359375 nb_pixel_total : 9433 time to create 1 rle with old method : 0.015241861343383789 length of segment : 102 time for calcul the mask position with numpy : 0.015613317489624023 nb_pixel_total : 7947 time to create 1 rle with old method : 0.012660026550292969 length of segment : 114 time for calcul the mask position with numpy : 0.1024477481842041 nb_pixel_total : 119624 time to create 1 rle with old method : 0.1342017650604248 length of segment : 360 time for calcul the mask position with numpy : 0.047447919845581055 nb_pixel_total : 50750 time to create 1 rle with old method : 0.05944228172302246 length of segment : 351 time for calcul the mask position with numpy : 0.02213144302368164 nb_pixel_total : 29279 time to create 1 rle with old method : 0.03449273109436035 length of segment : 182 time for calcul the mask position with numpy : 0.013603687286376953 nb_pixel_total : 12187 time to create 1 rle with old method : 0.017950057983398438 length of segment : 116 time for calcul the mask position with numpy : 0.01484537124633789 nb_pixel_total : 8680 time to create 1 rle with old method : 0.01456761360168457 length of segment : 103 time for calcul the mask position with numpy : 0.11274909973144531 nb_pixel_total : 317395 time to create 1 rle with new method : 0.011564254760742188 length of segment : 591 time for calcul the mask position with numpy : 0.01782965660095215 nb_pixel_total : 11152 time to create 1 rle with old method : 0.019570112228393555 length of segment : 121 time for calcul the mask position with numpy : 0.06718730926513672 nb_pixel_total : 28268 time to create 1 rle with old method : 0.0430757999420166 length of segment : 302 time for calcul the mask position with numpy : 0.20156598091125488 nb_pixel_total : 151500 time to create 1 rle with new method : 0.009542226791381836 length of segment : 678 time for calcul the mask position with numpy : 0.04500889778137207 nb_pixel_total : 44146 time to create 1 rle with old method : 0.05436134338378906 length of segment : 260 time for calcul the mask position with numpy : 0.01694345474243164 nb_pixel_total : 20557 time to create 1 rle with old method : 0.03291630744934082 length of segment : 217 time for calcul the mask position with numpy : 0.15851855278015137 nb_pixel_total : 347744 time to create 1 rle with new method : 0.02291584014892578 length of segment : 757 time for calcul the mask position with numpy : 0.2479872703552246 nb_pixel_total : 770563 time to create 1 rle with new method : 0.2297830581665039 length of segment : 1525 time for calcul the mask position with numpy : 0.021605730056762695 nb_pixel_total : 18833 time to create 1 rle with old method : 0.05408167839050293 length of segment : 178 time for calcul the mask position with numpy : 0.020840167999267578 nb_pixel_total : 25807 time to create 1 rle with old method : 0.04550361633300781 length of segment : 227 time for calcul the mask position with numpy : 0.012904167175292969 nb_pixel_total : 7264 time to create 1 rle with old method : 0.014481544494628906 length of segment : 135 time for calcul the mask position with numpy : 0.031248092651367188 nb_pixel_total : 38527 time to create 1 rle with old method : 0.13149690628051758 length of segment : 283 time for calcul the mask position with numpy : 0.03948378562927246 nb_pixel_total : 54104 time to create 1 rle with old method : 0.08702397346496582 length of segment : 346 time for calcul the mask position with numpy : 0.019489288330078125 nb_pixel_total : 188291 time to create 1 rle with new method : 0.010612249374389648 length of segment : 726 time for calcul the mask position with numpy : 0.0011129379272460938 nb_pixel_total : 12158 time to create 1 rle with old method : 0.021516084671020508 length of segment : 140 time for calcul the mask position with numpy : 0.01826310157775879 nb_pixel_total : 755751 time to create 1 rle with new method : 0.0808877944946289 length of segment : 1232 time for calcul the mask position with numpy : 0.017920255661010742 nb_pixel_total : 179168 time to create 1 rle with new method : 0.007730007171630859 length of segment : 410 time for calcul the mask position with numpy : 0.14789271354675293 nb_pixel_total : 36695 time to create 1 rle with old method : 0.09302330017089844 length of segment : 273 time for calcul the mask position with numpy : 0.0293581485748291 nb_pixel_total : 6643 time to create 1 rle with old method : 0.012740850448608398 length of segment : 85 time for calcul the mask position with numpy : 0.0486907958984375 nb_pixel_total : 11597 time to create 1 rle with old method : 0.01764082908630371 length of segment : 151 time for calcul the mask position with numpy : 0.09407997131347656 nb_pixel_total : 26500 time to create 1 rle with old method : 0.037314414978027344 length of segment : 278 time for calcul the mask position with numpy : 0.05295538902282715 nb_pixel_total : 20683 time to create 1 rle with old method : 0.02858877182006836 length of segment : 138 time for calcul the mask position with numpy : 0.04080533981323242 nb_pixel_total : 15430 time to create 1 rle with old method : 0.02115464210510254 length of segment : 184 time for calcul the mask position with numpy : 0.051589012145996094 nb_pixel_total : 9475 time to create 1 rle with old method : 0.015437126159667969 length of segment : 185 time for calcul the mask position with numpy : 0.0737602710723877 nb_pixel_total : 16140 time to create 1 rle with old method : 0.023593902587890625 length of segment : 254 time for calcul the mask position with numpy : 0.05810093879699707 nb_pixel_total : 22922 time to create 1 rle with old method : 0.02782273292541504 length of segment : 187 time for calcul the mask position with numpy : 0.10881280899047852 nb_pixel_total : 34286 time to create 1 rle with old method : 0.04246711730957031 length of segment : 364 time for calcul the mask position with numpy : 0.4197680950164795 nb_pixel_total : 161012 time to create 1 rle with new method : 0.015636205673217773 length of segment : 1223 time for calcul the mask position with numpy : 0.05375504493713379 nb_pixel_total : 26621 time to create 1 rle with old method : 0.03436470031738281 length of segment : 170 time for calcul the mask position with numpy : 0.06302332878112793 nb_pixel_total : 16937 time to create 1 rle with old method : 0.022824525833129883 length of segment : 202 time for calcul the mask position with numpy : 0.06948113441467285 nb_pixel_total : 14491 time to create 1 rle with old method : 0.02075982093811035 length of segment : 222 time for calcul the mask position with numpy : 0.011508464813232422 nb_pixel_total : 8097 time to create 1 rle with old method : 0.011653661727905273 length of segment : 142 time for calcul the mask position with numpy : 0.07719612121582031 nb_pixel_total : 25051 time to create 1 rle with old method : 0.03621506690979004 length of segment : 194 time for calcul the mask position with numpy : 0.07095909118652344 nb_pixel_total : 24959 time to create 1 rle with old method : 0.03589344024658203 length of segment : 200 time for calcul the mask position with numpy : 0.003914356231689453 nb_pixel_total : 13161 time to create 1 rle with old method : 0.0152130126953125 length of segment : 154 time for calcul the mask position with numpy : 0.04129147529602051 nb_pixel_total : 8168 time to create 1 rle with old method : 0.014157295227050781 length of segment : 145 time for calcul the mask position with numpy : 0.024329185485839844 nb_pixel_total : 10657 time to create 1 rle with old method : 0.018701553344726562 length of segment : 86 time for calcul the mask position with numpy : 0.020559310913085938 nb_pixel_total : 9025 time to create 1 rle with old method : 0.02733159065246582 length of segment : 187 time for calcul the mask position with numpy : 0.11077618598937988 nb_pixel_total : 50515 time to create 1 rle with old method : 0.06129264831542969 length of segment : 364 time for calcul the mask position with numpy : 0.007197141647338867 nb_pixel_total : 6693 time to create 1 rle with old method : 0.010558366775512695 length of segment : 112 time for calcul the mask position with numpy : 0.04318952560424805 nb_pixel_total : 6844 time to create 1 rle with old method : 0.012522459030151367 length of segment : 115 time for calcul the mask position with numpy : 0.035080671310424805 nb_pixel_total : 12494 time to create 1 rle with old method : 0.016648292541503906 length of segment : 153 time for calcul the mask position with numpy : 0.048189401626586914 nb_pixel_total : 11716 time to create 1 rle with old method : 0.01884627342224121 length of segment : 200 time for calcul the mask position with numpy : 0.04600358009338379 nb_pixel_total : 14552 time to create 1 rle with old method : 0.022145986557006836 length of segment : 163 time for calcul the mask position with numpy : 0.1576094627380371 nb_pixel_total : 75988 time to create 1 rle with old method : 0.09728479385375977 length of segment : 506 time for calcul the mask position with numpy : 0.057885169982910156 nb_pixel_total : 21246 time to create 1 rle with old method : 0.025705337524414062 length of segment : 292 time for calcul the mask position with numpy : 0.07772970199584961 nb_pixel_total : 36104 time to create 1 rle with old method : 0.04353141784667969 length of segment : 219 time for calcul the mask position with numpy : 0.04462313652038574 nb_pixel_total : 22375 time to create 1 rle with old method : 0.03132152557373047 length of segment : 196 time for calcul the mask position with numpy : 0.00028204917907714844 nb_pixel_total : 11964 time to create 1 rle with old method : 0.013530254364013672 length of segment : 185 time for calcul the mask position with numpy : 0.0011086463928222656 nb_pixel_total : 10420 time to create 1 rle with old method : 0.011809587478637695 length of segment : 137 time for calcul the mask position with numpy : 0.04249429702758789 nb_pixel_total : 29631 time to create 1 rle with old method : 0.03793787956237793 length of segment : 309 time for calcul the mask position with numpy : 0.003706216812133789 nb_pixel_total : 12072 time to create 1 rle with old method : 0.015245914459228516 length of segment : 216 time for calcul the mask position with numpy : 0.11004424095153809 nb_pixel_total : 52140 time to create 1 rle with old method : 0.0780019760131836 length of segment : 536 time for calcul the mask position with numpy : 0.05086660385131836 nb_pixel_total : 42561 time to create 1 rle with old method : 0.05300188064575195 length of segment : 490 time for calcul the mask position with numpy : 0.045896291732788086 nb_pixel_total : 11233 time to create 1 rle with old method : 0.020253896713256836 length of segment : 228 time for calcul the mask position with numpy : 0.006224870681762695 nb_pixel_total : 7522 time to create 1 rle with old method : 0.01157069206237793 length of segment : 173 time for calcul the mask position with numpy : 0.013306140899658203 nb_pixel_total : 11253 time to create 1 rle with old method : 0.0168302059173584 length of segment : 131 time for calcul the mask position with numpy : 0.09912705421447754 nb_pixel_total : 33589 time to create 1 rle with old method : 0.045592546463012695 length of segment : 264 time for calcul the mask position with numpy : 0.37461161613464355 nb_pixel_total : 188923 time to create 1 rle with new method : 0.009188652038574219 length of segment : 409 time for calcul the mask position with numpy : 0.07357573509216309 nb_pixel_total : 13709 time to create 1 rle with old method : 0.020172595977783203 length of segment : 221 time for calcul the mask position with numpy : 0.10049962997436523 nb_pixel_total : 30093 time to create 1 rle with old method : 0.04219985008239746 length of segment : 258 time for calcul the mask position with numpy : 0.0631096363067627 nb_pixel_total : 16122 time to create 1 rle with old method : 0.022619247436523438 length of segment : 138 time for calcul the mask position with numpy : 0.03548550605773926 nb_pixel_total : 9898 time to create 1 rle with old method : 0.015995502471923828 length of segment : 122 time for calcul the mask position with numpy : 0.2159278392791748 nb_pixel_total : 74770 time to create 1 rle with old method : 0.08931708335876465 length of segment : 364 time for calcul the mask position with numpy : 0.039353132247924805 nb_pixel_total : 12360 time to create 1 rle with old method : 0.018466711044311523 length of segment : 97 time for calcul the mask position with numpy : 0.12430095672607422 nb_pixel_total : 31537 time to create 1 rle with old method : 0.03892207145690918 length of segment : 260 time for calcul the mask position with numpy : 0.534451961517334 nb_pixel_total : 143154 time to create 1 rle with old method : 0.15797781944274902 length of segment : 800 time for calcul the mask position with numpy : 0.029500961303710938 nb_pixel_total : 9836 time to create 1 rle with old method : 0.01577019691467285 length of segment : 101 time for calcul the mask position with numpy : 0.10622382164001465 nb_pixel_total : 40215 time to create 1 rle with old method : 0.0493319034576416 length of segment : 220 time for calcul the mask position with numpy : 0.18810081481933594 nb_pixel_total : 62168 time to create 1 rle with old method : 0.07056689262390137 length of segment : 288 time for calcul the mask position with numpy : 0.027255535125732422 nb_pixel_total : 30205 time to create 1 rle with old method : 0.03806591033935547 length of segment : 202 time for calcul the mask position with numpy : 0.058916330337524414 nb_pixel_total : 23207 time to create 1 rle with old method : 0.03209233283996582 length of segment : 183 time for calcul the mask position with numpy : 0.037652015686035156 nb_pixel_total : 23127 time to create 1 rle with old method : 0.030785083770751953 length of segment : 142 time for calcul the mask position with numpy : 0.034569740295410156 nb_pixel_total : 9500 time to create 1 rle with old method : 0.017406225204467773 length of segment : 147 time for calcul the mask position with numpy : 0.22583770751953125 nb_pixel_total : 165370 time to create 1 rle with new method : 0.009809494018554688 length of segment : 726 time for calcul the mask position with numpy : 0.01745319366455078 nb_pixel_total : 12969 time to create 1 rle with old method : 0.019001483917236328 length of segment : 144 time for calcul the mask position with numpy : 0.030811786651611328 nb_pixel_total : 34346 time to create 1 rle with old method : 0.047472476959228516 length of segment : 262 time for calcul the mask position with numpy : 0.28606295585632324 nb_pixel_total : 192616 time to create 1 rle with new method : 0.013149499893188477 length of segment : 675 time for calcul the mask position with numpy : 0.10115861892700195 nb_pixel_total : 42974 time to create 1 rle with old method : 0.06380033493041992 length of segment : 271 time for calcul the mask position with numpy : 0.0370790958404541 nb_pixel_total : 13014 time to create 1 rle with old method : 0.020938634872436523 length of segment : 122 time for calcul the mask position with numpy : 0.0640878677368164 nb_pixel_total : 30240 time to create 1 rle with old method : 0.038802146911621094 length of segment : 197 time for calcul the mask position with numpy : 0.031972646713256836 nb_pixel_total : 13667 time to create 1 rle with old method : 0.025298357009887695 length of segment : 174 time for calcul the mask position with numpy : 0.008803844451904297 nb_pixel_total : 9296 time to create 1 rle with old method : 0.012562990188598633 length of segment : 96 time for calcul the mask position with numpy : 0.015654325485229492 nb_pixel_total : 13762 time to create 1 rle with old method : 0.018166542053222656 length of segment : 229 time for calcul the mask position with numpy : 0.03003382682800293 nb_pixel_total : 41429 time to create 1 rle with old method : 0.06705331802368164 length of segment : 471 time for calcul the mask position with numpy : 0.07317352294921875 nb_pixel_total : 32284 time to create 1 rle with old method : 0.0394892692565918 length of segment : 385 time for calcul the mask position with numpy : 0.026135921478271484 nb_pixel_total : 36150 time to create 1 rle with old method : 0.043999671936035156 length of segment : 202 time for calcul the mask position with numpy : 0.03569626808166504 nb_pixel_total : 21802 time to create 1 rle with old method : 0.03720450401306152 length of segment : 216 time for calcul the mask position with numpy : 0.048876285552978516 nb_pixel_total : 22634 time to create 1 rle with old method : 0.029905319213867188 length of segment : 220 time for calcul the mask position with numpy : 0.0545656681060791 nb_pixel_total : 52595 time to create 1 rle with old method : 0.07323455810546875 length of segment : 394 time for calcul the mask position with numpy : 0.027019023895263672 nb_pixel_total : 23650 time to create 1 rle with old method : 0.030876636505126953 length of segment : 258 time for calcul the mask position with numpy : 0.0848238468170166 nb_pixel_total : 29516 time to create 1 rle with old method : 0.03828883171081543 length of segment : 239 time for calcul the mask position with numpy : 0.06266379356384277 nb_pixel_total : 15021 time to create 1 rle with old method : 0.0251767635345459 length of segment : 150 time for calcul the mask position with numpy : 0.05605483055114746 nb_pixel_total : 16158 time to create 1 rle with old method : 0.02195906639099121 length of segment : 161 time for calcul the mask position with numpy : 0.18036961555480957 nb_pixel_total : 69415 time to create 1 rle with old method : 0.08269166946411133 length of segment : 288 time for calcul the mask position with numpy : 0.12405538558959961 nb_pixel_total : 56407 time to create 1 rle with old method : 0.07822656631469727 length of segment : 313 time for calcul the mask position with numpy : 0.06957244873046875 nb_pixel_total : 23256 time to create 1 rle with old method : 0.030575275421142578 length of segment : 211 time for calcul the mask position with numpy : 0.16472744941711426 nb_pixel_total : 61779 time to create 1 rle with old method : 0.07001829147338867 length of segment : 589 time for calcul the mask position with numpy : 0.08016443252563477 nb_pixel_total : 18512 time to create 1 rle with old method : 0.024692296981811523 length of segment : 267 time for calcul the mask position with numpy : 0.08649802207946777 nb_pixel_total : 19721 time to create 1 rle with old method : 0.024145841598510742 length of segment : 334 time for calcul the mask position with numpy : 0.014667749404907227 nb_pixel_total : 6965 time to create 1 rle with old method : 0.01164865493774414 length of segment : 71 time for calcul the mask position with numpy : 0.08032774925231934 nb_pixel_total : 36906 time to create 1 rle with old method : 0.04625821113586426 length of segment : 325 time for calcul the mask position with numpy : 0.04371070861816406 nb_pixel_total : 23415 time to create 1 rle with old method : 0.03047919273376465 length of segment : 185 time for calcul the mask position with numpy : 0.005544900894165039 nb_pixel_total : 4905 time to create 1 rle with old method : 0.00654911994934082 length of segment : 76 time for calcul the mask position with numpy : 0.0769200325012207 nb_pixel_total : 33191 time to create 1 rle with old method : 0.04739022254943848 length of segment : 227 time for calcul the mask position with numpy : 0.024885177612304688 nb_pixel_total : 8068 time to create 1 rle with old method : 0.013740301132202148 length of segment : 96 time for calcul the mask position with numpy : 0.028603076934814453 nb_pixel_total : 15526 time to create 1 rle with old method : 0.024658918380737305 length of segment : 151 time for calcul the mask position with numpy : 0.12121415138244629 nb_pixel_total : 54839 time to create 1 rle with old method : 0.06487178802490234 length of segment : 446 time for calcul the mask position with numpy : 0.2637476921081543 nb_pixel_total : 177962 time to create 1 rle with new method : 0.014151811599731445 length of segment : 524 time for calcul the mask position with numpy : 0.015424966812133789 nb_pixel_total : 15740 time to create 1 rle with old method : 0.022967100143432617 length of segment : 299 time for calcul the mask position with numpy : 0.004045009613037109 nb_pixel_total : 14270 time to create 1 rle with old method : 0.018694162368774414 length of segment : 167 time for calcul the mask position with numpy : 0.05228424072265625 nb_pixel_total : 20413 time to create 1 rle with old method : 0.028183698654174805 length of segment : 143 time for calcul the mask position with numpy : 0.05840182304382324 nb_pixel_total : 19880 time to create 1 rle with old method : 0.025950908660888672 length of segment : 211 time for calcul the mask position with numpy : 0.02084970474243164 nb_pixel_total : 9043 time to create 1 rle with old method : 0.013811111450195312 length of segment : 116 time for calcul the mask position with numpy : 0.11787867546081543 nb_pixel_total : 78769 time to create 1 rle with old method : 0.0896310806274414 length of segment : 300 time for calcul the mask position with numpy : 0.1278684139251709 nb_pixel_total : 88911 time to create 1 rle with old method : 0.10253548622131348 length of segment : 467 time for calcul the mask position with numpy : 0.11817264556884766 nb_pixel_total : 85960 time to create 1 rle with old method : 0.09875965118408203 length of segment : 516 time for calcul the mask position with numpy : 0.05868816375732422 nb_pixel_total : 33808 time to create 1 rle with old method : 0.038774967193603516 length of segment : 169 time for calcul the mask position with numpy : 0.0040585994720458984 nb_pixel_total : 7827 time to create 1 rle with old method : 0.011016130447387695 length of segment : 120 time for calcul the mask position with numpy : 0.023040056228637695 nb_pixel_total : 10492 time to create 1 rle with old method : 0.015908002853393555 length of segment : 134 time for calcul the mask position with numpy : 0.0669407844543457 nb_pixel_total : 27691 time to create 1 rle with old method : 0.03153252601623535 length of segment : 461 time for calcul the mask position with numpy : 0.03706812858581543 nb_pixel_total : 20412 time to create 1 rle with old method : 0.026551008224487305 length of segment : 144 time for calcul the mask position with numpy : 0.03411436080932617 nb_pixel_total : 14179 time to create 1 rle with old method : 0.021237611770629883 length of segment : 118 time for calcul the mask position with numpy : 0.05833721160888672 nb_pixel_total : 24951 time to create 1 rle with old method : 0.03280925750732422 length of segment : 181 time for calcul the mask position with numpy : 0.12194538116455078 nb_pixel_total : 46522 time to create 1 rle with old method : 0.05426907539367676 length of segment : 354 time for calcul the mask position with numpy : 0.11910390853881836 nb_pixel_total : 32770 time to create 1 rle with old method : 0.03874826431274414 length of segment : 253 time for calcul the mask position with numpy : 0.046471357345581055 nb_pixel_total : 9684 time to create 1 rle with old method : 0.015488862991333008 length of segment : 159 time for calcul the mask position with numpy : 0.12892675399780273 nb_pixel_total : 83548 time to create 1 rle with old method : 0.09338092803955078 length of segment : 428 time for calcul the mask position with numpy : 0.07338452339172363 nb_pixel_total : 50545 time to create 1 rle with old method : 0.05722165107727051 length of segment : 169 time for calcul the mask position with numpy : 0.027545452117919922 nb_pixel_total : 16059 time to create 1 rle with old method : 0.019588232040405273 length of segment : 147 time for calcul the mask position with numpy : 0.06688857078552246 nb_pixel_total : 17975 time to create 1 rle with old method : 0.02213883399963379 length of segment : 150 time for calcul the mask position with numpy : 0.0029668807983398438 nb_pixel_total : 17148 time to create 1 rle with old method : 0.022729158401489258 length of segment : 141 time for calcul the mask position with numpy : 0.023694515228271484 nb_pixel_total : 10432 time to create 1 rle with old method : 0.01578664779663086 length of segment : 125 time for calcul the mask position with numpy : 0.03964996337890625 nb_pixel_total : 15093 time to create 1 rle with old method : 0.022347688674926758 length of segment : 161 time for calcul the mask position with numpy : 0.015111684799194336 nb_pixel_total : 8027 time to create 1 rle with old method : 0.013549089431762695 length of segment : 65 time for calcul the mask position with numpy : 0.005269050598144531 nb_pixel_total : 8521 time to create 1 rle with old method : 0.013522148132324219 length of segment : 178 time for calcul the mask position with numpy : 0.06983494758605957 nb_pixel_total : 27334 time to create 1 rle with old method : 0.03500103950500488 length of segment : 243 time for calcul the mask position with numpy : 0.07091498374938965 nb_pixel_total : 26182 time to create 1 rle with old method : 0.03362679481506348 length of segment : 146 time for calcul the mask position with numpy : 0.03531455993652344 nb_pixel_total : 23238 time to create 1 rle with old method : 0.02770853042602539 length of segment : 241 time for calcul the mask position with numpy : 0.052510976791381836 nb_pixel_total : 18270 time to create 1 rle with old method : 0.024303436279296875 length of segment : 183 time for calcul the mask position with numpy : 0.09250831604003906 nb_pixel_total : 48196 time to create 1 rle with old method : 0.062181711196899414 length of segment : 237 time for calcul the mask position with numpy : 0.0404200553894043 nb_pixel_total : 7555 time to create 1 rle with old method : 0.011848211288452148 length of segment : 164 time for calcul the mask position with numpy : 0.0719916820526123 nb_pixel_total : 31273 time to create 1 rle with old method : 0.050375938415527344 length of segment : 214 time for calcul the mask position with numpy : 0.027086257934570312 nb_pixel_total : 12913 time to create 1 rle with old method : 0.017404794692993164 length of segment : 114 time for calcul the mask position with numpy : 0.055214643478393555 nb_pixel_total : 28713 time to create 1 rle with old method : 0.03576397895812988 length of segment : 176 time for calcul the mask position with numpy : 0.04801011085510254 nb_pixel_total : 37748 time to create 1 rle with old method : 0.04575324058532715 length of segment : 246 time for calcul the mask position with numpy : 0.02802562713623047 nb_pixel_total : 9249 time to create 1 rle with old method : 0.015192270278930664 length of segment : 168 time for calcul the mask position with numpy : 0.06759214401245117 nb_pixel_total : 30009 time to create 1 rle with old method : 0.03734159469604492 length of segment : 197 time for calcul the mask position with numpy : 0.07132887840270996 nb_pixel_total : 50769 time to create 1 rle with old method : 0.06428027153015137 length of segment : 426 time for calcul the mask position with numpy : 0.0202791690826416 nb_pixel_total : 29344 time to create 1 rle with old method : 0.03486227989196777 length of segment : 376 time for calcul the mask position with numpy : 0.028186321258544922 nb_pixel_total : 9937 time to create 1 rle with old method : 0.016442537307739258 length of segment : 168 time for calcul the mask position with numpy : 0.02141284942626953 nb_pixel_total : 11395 time to create 1 rle with old method : 0.017017126083374023 length of segment : 113 time for calcul the mask position with numpy : 0.003065347671508789 nb_pixel_total : 7438 time to create 1 rle with old method : 0.008131980895996094 length of segment : 172 time for calcul the mask position with numpy : 0.011049985885620117 nb_pixel_total : 17843 time to create 1 rle with old method : 0.02387690544128418 length of segment : 144 time for calcul the mask position with numpy : 0.13770031929016113 nb_pixel_total : 58211 time to create 1 rle with old method : 0.06943035125732422 length of segment : 418 time for calcul the mask position with numpy : 0.07383012771606445 nb_pixel_total : 33997 time to create 1 rle with old method : 0.040613651275634766 length of segment : 198 time for calcul the mask position with numpy : 0.06924962997436523 nb_pixel_total : 22113 time to create 1 rle with old method : 0.03325152397155762 length of segment : 175 time for calcul the mask position with numpy : 0.41570162773132324 nb_pixel_total : 218685 time to create 1 rle with new method : 0.02485370635986328 length of segment : 743 time for calcul the mask position with numpy : 0.029158592224121094 nb_pixel_total : 5944 time to create 1 rle with old method : 0.010158538818359375 length of segment : 88 time for calcul the mask position with numpy : 0.020976543426513672 nb_pixel_total : 9374 time to create 1 rle with old method : 0.015435218811035156 length of segment : 123 time for calcul the mask position with numpy : 0.10614466667175293 nb_pixel_total : 115595 time to create 1 rle with old method : 0.13102412223815918 length of segment : 349 time for calcul the mask position with numpy : 0.023392677307128906 nb_pixel_total : 6612 time to create 1 rle with old method : 0.01294851303100586 length of segment : 126 time for calcul the mask position with numpy : 0.03730010986328125 nb_pixel_total : 8691 time to create 1 rle with old method : 0.013288259506225586 length of segment : 103 time for calcul the mask position with numpy : 0.06075429916381836 nb_pixel_total : 22037 time to create 1 rle with old method : 0.030158519744873047 length of segment : 194 time for calcul the mask position with numpy : 0.04149198532104492 nb_pixel_total : 11956 time to create 1 rle with old method : 0.018480777740478516 length of segment : 131 time for calcul the mask position with numpy : 0.17181706428527832 nb_pixel_total : 101930 time to create 1 rle with old method : 0.1488656997680664 length of segment : 468 time for calcul the mask position with numpy : 0.028429031372070312 nb_pixel_total : 7093 time to create 1 rle with old method : 0.00816655158996582 length of segment : 117 time for calcul the mask position with numpy : 0.04304027557373047 nb_pixel_total : 13568 time to create 1 rle with old method : 0.020060300827026367 length of segment : 164 time for calcul the mask position with numpy : 0.2013101577758789 nb_pixel_total : 94423 time to create 1 rle with old method : 0.1065208911895752 length of segment : 604 time for calcul the mask position with numpy : 0.01877427101135254 nb_pixel_total : 21349 time to create 1 rle with old method : 0.029192447662353516 length of segment : 183 time for calcul the mask position with numpy : 0.013079404830932617 nb_pixel_total : 6768 time to create 1 rle with old method : 0.009714603424072266 length of segment : 117 time for calcul the mask position with numpy : 0.02405238151550293 nb_pixel_total : 6334 time to create 1 rle with old method : 0.009217977523803711 length of segment : 71 time for calcul the mask position with numpy : 0.1583397388458252 nb_pixel_total : 96967 time to create 1 rle with old method : 0.10484075546264648 length of segment : 309 time for calcul the mask position with numpy : 0.002446413040161133 nb_pixel_total : 10127 time to create 1 rle with old method : 0.013143301010131836 length of segment : 126 time for calcul the mask position with numpy : 0.005254983901977539 nb_pixel_total : 5976 time to create 1 rle with old method : 0.007082939147949219 length of segment : 69 time for calcul the mask position with numpy : 0.0411224365234375 nb_pixel_total : 11318 time to create 1 rle with old method : 0.018052339553833008 length of segment : 115 time for calcul the mask position with numpy : 0.010131597518920898 nb_pixel_total : 13988 time to create 1 rle with old method : 0.020369291305541992 length of segment : 201 time for calcul the mask position with numpy : 0.008026123046875 nb_pixel_total : 11824 time to create 1 rle with old method : 0.016397476196289062 length of segment : 120 time for calcul the mask position with numpy : 0.0033235549926757812 nb_pixel_total : 19294 time to create 1 rle with old method : 0.023894786834716797 length of segment : 190 time for calcul the mask position with numpy : 0.01758599281311035 nb_pixel_total : 21268 time to create 1 rle with old method : 0.026856660842895508 length of segment : 217 time for calcul the mask position with numpy : 0.03887057304382324 nb_pixel_total : 12640 time to create 1 rle with old method : 0.01739025115966797 length of segment : 198 time for calcul the mask position with numpy : 0.1362617015838623 nb_pixel_total : 51657 time to create 1 rle with old method : 0.05818486213684082 length of segment : 429 time for calcul the mask position with numpy : 0.029939889907836914 nb_pixel_total : 7735 time to create 1 rle with old method : 0.01273202896118164 length of segment : 101 time for calcul the mask position with numpy : 0.04585599899291992 nb_pixel_total : 9410 time to create 1 rle with old method : 0.015214681625366211 length of segment : 143 time for calcul the mask position with numpy : 0.045964956283569336 nb_pixel_total : 13921 time to create 1 rle with old method : 0.017662525177001953 length of segment : 180 time for calcul the mask position with numpy : 0.060511112213134766 nb_pixel_total : 43362 time to create 1 rle with old method : 0.049291372299194336 length of segment : 207 time for calcul the mask position with numpy : 0.01585531234741211 nb_pixel_total : 11657 time to create 1 rle with old method : 0.018502235412597656 length of segment : 106 time for calcul the mask position with numpy : 0.028455018997192383 nb_pixel_total : 26517 time to create 1 rle with old method : 0.03426718711853027 length of segment : 317 time for calcul the mask position with numpy : 0.012649297714233398 nb_pixel_total : 5166 time to create 1 rle with old method : 0.00767207145690918 length of segment : 149 time for calcul the mask position with numpy : 0.02981400489807129 nb_pixel_total : 9135 time to create 1 rle with old method : 0.014933109283447266 length of segment : 149 time for calcul the mask position with numpy : 0.04258465766906738 nb_pixel_total : 10861 time to create 1 rle with old method : 0.015314102172851562 length of segment : 200 time for calcul the mask position with numpy : 0.1901397705078125 nb_pixel_total : 112608 time to create 1 rle with old method : 0.1236276626586914 length of segment : 566 time for calcul the mask position with numpy : 0.031298160552978516 nb_pixel_total : 13563 time to create 1 rle with old method : 0.018465280532836914 length of segment : 160 time for calcul the mask position with numpy : 0.020183563232421875 nb_pixel_total : 7993 time to create 1 rle with old method : 0.01324915885925293 length of segment : 120 time for calcul the mask position with numpy : 0.03290915489196777 nb_pixel_total : 11998 time to create 1 rle with old method : 0.01880049705505371 length of segment : 150 time for calcul the mask position with numpy : 0.09694123268127441 nb_pixel_total : 40557 time to create 1 rle with old method : 0.049566030502319336 length of segment : 397 time for calcul the mask position with numpy : 0.026633739471435547 nb_pixel_total : 11123 time to create 1 rle with old method : 0.018662452697753906 length of segment : 99 time for calcul the mask position with numpy : 0.02216935157775879 nb_pixel_total : 7790 time to create 1 rle with old method : 0.014022350311279297 length of segment : 103 time for calcul the mask position with numpy : 0.11672496795654297 nb_pixel_total : 39837 time to create 1 rle with old method : 0.045768022537231445 length of segment : 520 time for calcul the mask position with numpy : 0.07014250755310059 nb_pixel_total : 18755 time to create 1 rle with old method : 0.02492833137512207 length of segment : 309 time for calcul the mask position with numpy : 0.014270544052124023 nb_pixel_total : 5776 time to create 1 rle with old method : 0.010027647018432617 length of segment : 88 time for calcul the mask position with numpy : 0.05470538139343262 nb_pixel_total : 31612 time to create 1 rle with old method : 0.042430877685546875 length of segment : 227 time for calcul the mask position with numpy : 0.04829049110412598 nb_pixel_total : 16364 time to create 1 rle with old method : 0.022046327590942383 length of segment : 164 time for calcul the mask position with numpy : 0.1163778305053711 nb_pixel_total : 27556 time to create 1 rle with old method : 0.03609132766723633 length of segment : 440 time for calcul the mask position with numpy : 0.03326225280761719 nb_pixel_total : 11616 time to create 1 rle with old method : 0.017619609832763672 length of segment : 123 time for calcul the mask position with numpy : 0.017104625701904297 nb_pixel_total : 13550 time to create 1 rle with old method : 0.021926403045654297 length of segment : 196 time for calcul the mask position with numpy : 0.018126964569091797 nb_pixel_total : 10196 time to create 1 rle with old method : 0.016989946365356445 length of segment : 82 time for calcul the mask position with numpy : 0.007421255111694336 nb_pixel_total : 7022 time to create 1 rle with old method : 0.009389638900756836 length of segment : 118 time for calcul the mask position with numpy : 0.373737096786499 nb_pixel_total : 390528 time to create 1 rle with new method : 0.053936004638671875 length of segment : 779 time for calcul the mask position with numpy : 0.013019323348999023 nb_pixel_total : 7068 time to create 1 rle with old method : 0.010744810104370117 length of segment : 67 time for calcul the mask position with numpy : 0.04067206382751465 nb_pixel_total : 23648 time to create 1 rle with old method : 0.030632734298706055 length of segment : 225 time for calcul the mask position with numpy : 0.08630895614624023 nb_pixel_total : 30496 time to create 1 rle with old method : 0.03566718101501465 length of segment : 320 time for calcul the mask position with numpy : 0.04154348373413086 nb_pixel_total : 23082 time to create 1 rle with old method : 0.029808521270751953 length of segment : 269 time for calcul the mask position with numpy : 0.0642707347869873 nb_pixel_total : 48249 time to create 1 rle with old method : 0.07505512237548828 length of segment : 362 time for calcul the mask position with numpy : 0.031555891036987305 nb_pixel_total : 13360 time to create 1 rle with old method : 0.019255876541137695 length of segment : 175 time for calcul the mask position with numpy : 0.01945328712463379 nb_pixel_total : 18637 time to create 1 rle with old method : 0.03361177444458008 length of segment : 158 time for calcul the mask position with numpy : 0.1838827133178711 nb_pixel_total : 53713 time to create 1 rle with old method : 0.06360149383544922 length of segment : 319 time for calcul the mask position with numpy : 0.04152417182922363 nb_pixel_total : 10927 time to create 1 rle with old method : 0.020051240921020508 length of segment : 137 time for calcul the mask position with numpy : 0.1363356113433838 nb_pixel_total : 47482 time to create 1 rle with old method : 0.05629229545593262 length of segment : 235 time for calcul the mask position with numpy : 0.18001246452331543 nb_pixel_total : 54925 time to create 1 rle with old method : 0.06440591812133789 length of segment : 271 time for calcul the mask position with numpy : 0.0699760913848877 nb_pixel_total : 19395 time to create 1 rle with old method : 0.026703834533691406 length of segment : 182 time for calcul the mask position with numpy : 0.24376702308654785 nb_pixel_total : 73029 time to create 1 rle with old method : 0.08836245536804199 length of segment : 549 time for calcul the mask position with numpy : 0.31113696098327637 nb_pixel_total : 82114 time to create 1 rle with old method : 0.09861421585083008 length of segment : 380 time for calcul the mask position with numpy : 0.17952442169189453 nb_pixel_total : 44752 time to create 1 rle with old method : 0.05148577690124512 length of segment : 322 time for calcul the mask position with numpy : 0.12534832954406738 nb_pixel_total : 64399 time to create 1 rle with old method : 0.07946968078613281 length of segment : 354 time for calcul the mask position with numpy : 0.0340113639831543 nb_pixel_total : 16268 time to create 1 rle with old method : 0.022231340408325195 length of segment : 151 time for calcul the mask position with numpy : 0.027785062789916992 nb_pixel_total : 3223 time to create 1 rle with old method : 0.00642085075378418 length of segment : 62 time for calcul the mask position with numpy : 0.04578852653503418 nb_pixel_total : 6461 time to create 1 rle with old method : 0.01095890998840332 length of segment : 80 time for calcul the mask position with numpy : 0.14867949485778809 nb_pixel_total : 48210 time to create 1 rle with old method : 0.055886030197143555 length of segment : 278 time for calcul the mask position with numpy : 0.4250178337097168 nb_pixel_total : 177275 time to create 1 rle with new method : 0.020653724670410156 length of segment : 636 time for calcul the mask position with numpy : 0.11014676094055176 nb_pixel_total : 52322 time to create 1 rle with old method : 0.062262535095214844 length of segment : 215 time for calcul the mask position with numpy : 0.3689534664154053 nb_pixel_total : 220769 time to create 1 rle with new method : 0.0192568302154541 length of segment : 820 time for calcul the mask position with numpy : 0.00028228759765625 nb_pixel_total : 9194 time to create 1 rle with old method : 0.010625600814819336 length of segment : 97 time for calcul the mask position with numpy : 0.08450555801391602 nb_pixel_total : 53158 time to create 1 rle with old method : 0.060160160064697266 length of segment : 267 time for calcul the mask position with numpy : 0.14641189575195312 nb_pixel_total : 35141 time to create 1 rle with old method : 0.04433083534240723 length of segment : 412 time for calcul the mask position with numpy : 0.31345200538635254 nb_pixel_total : 228774 time to create 1 rle with new method : 0.015453338623046875 length of segment : 664 time for calcul the mask position with numpy : 0.06847882270812988 nb_pixel_total : 22314 time to create 1 rle with old method : 0.02750229835510254 length of segment : 189 time for calcul the mask position with numpy : 0.1654517650604248 nb_pixel_total : 44914 time to create 1 rle with old method : 0.05494356155395508 length of segment : 351 time for calcul the mask position with numpy : 0.01978778839111328 nb_pixel_total : 17705 time to create 1 rle with old method : 0.023282289505004883 length of segment : 179 time for calcul the mask position with numpy : 0.17793893814086914 nb_pixel_total : 98963 time to create 1 rle with old method : 0.10559415817260742 length of segment : 311 time for calcul the mask position with numpy : 0.018012285232543945 nb_pixel_total : 42936 time to create 1 rle with old method : 0.05143451690673828 length of segment : 163 time for calcul the mask position with numpy : 0.04504847526550293 nb_pixel_total : 11094 time to create 1 rle with old method : 0.017734289169311523 length of segment : 99 time for calcul the mask position with numpy : 0.02541351318359375 nb_pixel_total : 13010 time to create 1 rle with old method : 0.019686222076416016 length of segment : 113 time for calcul the mask position with numpy : 0.06072878837585449 nb_pixel_total : 21244 time to create 1 rle with old method : 0.029770374298095703 length of segment : 339 time for calcul the mask position with numpy : 0.02300548553466797 nb_pixel_total : 8988 time to create 1 rle with old method : 0.013882875442504883 length of segment : 116 time for calcul the mask position with numpy : 0.004688262939453125 nb_pixel_total : 1881 time to create 1 rle with old method : 0.0026578903198242188 length of segment : 54 time for calcul the mask position with numpy : 0.0017650127410888672 nb_pixel_total : 3790 time to create 1 rle with old method : 0.004781484603881836 length of segment : 63 time for calcul the mask position with numpy : 0.014465808868408203 nb_pixel_total : 25062 time to create 1 rle with old method : 0.03247475624084473 length of segment : 201 time for calcul the mask position with numpy : 0.06784892082214355 nb_pixel_total : 16614 time to create 1 rle with old method : 0.02627277374267578 length of segment : 235 time for calcul the mask position with numpy : 0.027003049850463867 nb_pixel_total : 17084 time to create 1 rle with old method : 0.019381046295166016 length of segment : 141 time for calcul the mask position with numpy : 0.021394968032836914 nb_pixel_total : 10258 time to create 1 rle with old method : 0.0164644718170166 length of segment : 151 time for calcul the mask position with numpy : 0.0009891986846923828 nb_pixel_total : 44589 time to create 1 rle with old method : 0.04803633689880371 length of segment : 179 time for calcul the mask position with numpy : 0.024993181228637695 nb_pixel_total : 6764 time to create 1 rle with old method : 0.01229715347290039 length of segment : 130 time for calcul the mask position with numpy : 0.21033763885498047 nb_pixel_total : 123215 time to create 1 rle with old method : 0.134232759475708 length of segment : 767 time for calcul the mask position with numpy : 0.006457328796386719 nb_pixel_total : 27936 time to create 1 rle with old method : 0.031088829040527344 length of segment : 222 time for calcul the mask position with numpy : 0.0005285739898681641 nb_pixel_total : 21398 time to create 1 rle with old method : 0.023468971252441406 length of segment : 187 time for calcul the mask position with numpy : 0.0038101673126220703 nb_pixel_total : 6498 time to create 1 rle with old method : 0.007111310958862305 length of segment : 145 time for calcul the mask position with numpy : 0.054219722747802734 nb_pixel_total : 18993 time to create 1 rle with old method : 0.022949695587158203 length of segment : 198 time for calcul the mask position with numpy : 0.014580488204956055 nb_pixel_total : 18649 time to create 1 rle with old method : 0.025211095809936523 length of segment : 182 time for calcul the mask position with numpy : 0.06809806823730469 nb_pixel_total : 49120 time to create 1 rle with old method : 0.05577278137207031 length of segment : 278 time for calcul the mask position with numpy : 0.05083417892456055 nb_pixel_total : 11136 time to create 1 rle with old method : 0.018072843551635742 length of segment : 163 time for calcul the mask position with numpy : 0.0618441104888916 nb_pixel_total : 20967 time to create 1 rle with old method : 0.027819156646728516 length of segment : 124 time for calcul the mask position with numpy : 0.05876469612121582 nb_pixel_total : 10201 time to create 1 rle with old method : 0.014689445495605469 length of segment : 184 time for calcul the mask position with numpy : 0.24496793746948242 nb_pixel_total : 119148 time to create 1 rle with old method : 0.12666797637939453 length of segment : 627 time for calcul the mask position with numpy : 0.05706453323364258 nb_pixel_total : 33595 time to create 1 rle with old method : 0.04021739959716797 length of segment : 303 time for calcul the mask position with numpy : 0.09568119049072266 nb_pixel_total : 34422 time to create 1 rle with old method : 0.03922891616821289 length of segment : 235 time for calcul the mask position with numpy : 0.09860062599182129 nb_pixel_total : 19448 time to create 1 rle with old method : 0.023884057998657227 length of segment : 243 time for calcul the mask position with numpy : 0.05324101448059082 nb_pixel_total : 17180 time to create 1 rle with old method : 0.02333688735961914 length of segment : 157 time for calcul the mask position with numpy : 0.007246732711791992 nb_pixel_total : 16010 time to create 1 rle with old method : 0.019609451293945312 length of segment : 228 time for calcul the mask position with numpy : 0.04709053039550781 nb_pixel_total : 11114 time to create 1 rle with old method : 0.016022682189941406 length of segment : 139 time for calcul the mask position with numpy : 0.11830925941467285 nb_pixel_total : 46415 time to create 1 rle with old method : 0.05283164978027344 length of segment : 403 time for calcul the mask position with numpy : 0.03885173797607422 nb_pixel_total : 26953 time to create 1 rle with old method : 0.0346524715423584 length of segment : 273 time for calcul the mask position with numpy : 0.17606520652770996 nb_pixel_total : 90954 time to create 1 rle with old method : 0.09417390823364258 length of segment : 411 time for calcul the mask position with numpy : 0.015390872955322266 nb_pixel_total : 9212 time to create 1 rle with old method : 0.014343500137329102 length of segment : 92 time for calcul the mask position with numpy : 0.05142855644226074 nb_pixel_total : 26252 time to create 1 rle with old method : 0.03216910362243652 length of segment : 180 time for calcul the mask position with numpy : 0.14597201347351074 nb_pixel_total : 125156 time to create 1 rle with old method : 0.13737154006958008 length of segment : 571 time for calcul the mask position with numpy : 0.028679847717285156 nb_pixel_total : 14507 time to create 1 rle with old method : 0.022135019302368164 length of segment : 116 time for calcul the mask position with numpy : 0.011513710021972656 nb_pixel_total : 5019 time to create 1 rle with old method : 0.009765625 length of segment : 56 time for calcul the mask position with numpy : 0.04557466506958008 nb_pixel_total : 9508 time to create 1 rle with old method : 0.015788555145263672 length of segment : 150 time for calcul the mask position with numpy : 0.1007852554321289 nb_pixel_total : 34014 time to create 1 rle with old method : 0.04178190231323242 length of segment : 318 time for calcul the mask position with numpy : 0.10837793350219727 nb_pixel_total : 40217 time to create 1 rle with old method : 0.04498910903930664 length of segment : 319 time for calcul the mask position with numpy : 0.03287482261657715 nb_pixel_total : 15781 time to create 1 rle with old method : 0.02201557159423828 length of segment : 190 time for calcul the mask position with numpy : 0.05928444862365723 nb_pixel_total : 34793 time to create 1 rle with old method : 0.043074846267700195 length of segment : 158 time for calcul the mask position with numpy : 0.03937482833862305 nb_pixel_total : 21158 time to create 1 rle with old method : 0.028557300567626953 length of segment : 85 time for calcul the mask position with numpy : 0.11887693405151367 nb_pixel_total : 89275 time to create 1 rle with old method : 0.09853792190551758 length of segment : 452 time for calcul the mask position with numpy : 0.09920811653137207 nb_pixel_total : 40438 time to create 1 rle with old method : 0.04818367958068848 length of segment : 290 time for calcul the mask position with numpy : 0.03393864631652832 nb_pixel_total : 16717 time to create 1 rle with old method : 0.024100065231323242 length of segment : 138 time for calcul the mask position with numpy : 0.018819332122802734 nb_pixel_total : 9191 time to create 1 rle with old method : 0.015875816345214844 length of segment : 135 time for calcul the mask position with numpy : 0.009638071060180664 nb_pixel_total : 6714 time to create 1 rle with old method : 0.010326147079467773 length of segment : 78 time for calcul the mask position with numpy : 0.08289694786071777 nb_pixel_total : 107475 time to create 1 rle with old method : 0.13737201690673828 length of segment : 346 time for calcul the mask position with numpy : 0.05576825141906738 nb_pixel_total : 15764 time to create 1 rle with old method : 0.030259370803833008 length of segment : 222 time for calcul the mask position with numpy : 0.003969907760620117 nb_pixel_total : 12935 time to create 1 rle with old method : 0.021488666534423828 length of segment : 172 time for calcul the mask position with numpy : 0.09400320053100586 nb_pixel_total : 29751 time to create 1 rle with old method : 0.05390739440917969 length of segment : 317 time for calcul the mask position with numpy : 0.06022906303405762 nb_pixel_total : 32701 time to create 1 rle with old method : 0.06701087951660156 length of segment : 339 time for calcul the mask position with numpy : 0.032073020935058594 nb_pixel_total : 10335 time to create 1 rle with old method : 0.016963720321655273 length of segment : 126 time for calcul the mask position with numpy : 0.07712268829345703 nb_pixel_total : 17753 time to create 1 rle with old method : 0.025525569915771484 length of segment : 190 time for calcul the mask position with numpy : 0.07381749153137207 nb_pixel_total : 52107 time to create 1 rle with old method : 0.060903310775756836 length of segment : 204 time for calcul the mask position with numpy : 0.09783554077148438 nb_pixel_total : 40906 time to create 1 rle with old method : 0.07016849517822266 length of segment : 334 time for calcul the mask position with numpy : 0.07198023796081543 nb_pixel_total : 35864 time to create 1 rle with old method : 0.04559469223022461 length of segment : 127 time for calcul the mask position with numpy : 0.17276263236999512 nb_pixel_total : 76875 time to create 1 rle with old method : 0.09580516815185547 length of segment : 471 time for calcul the mask position with numpy : 0.0037567615509033203 nb_pixel_total : 7727 time to create 1 rle with old method : 0.01032114028930664 length of segment : 84 time for calcul the mask position with numpy : 0.028507232666015625 nb_pixel_total : 28369 time to create 1 rle with old method : 0.04658937454223633 length of segment : 317 time for calcul the mask position with numpy : 0.03242850303649902 nb_pixel_total : 49185 time to create 1 rle with old method : 0.05640745162963867 length of segment : 362 time for calcul the mask position with numpy : 0.14012980461120605 nb_pixel_total : 14882 time to create 1 rle with old method : 0.02391791343688965 length of segment : 158 time for calcul the mask position with numpy : 0.006798267364501953 nb_pixel_total : 12416 time to create 1 rle with old method : 0.016743898391723633 length of segment : 174 time for calcul the mask position with numpy : 0.01080942153930664 nb_pixel_total : 21849 time to create 1 rle with old method : 0.030211925506591797 length of segment : 205 time for calcul the mask position with numpy : 0.038208961486816406 nb_pixel_total : 4397 time to create 1 rle with old method : 0.014564990997314453 length of segment : 52 time for calcul the mask position with numpy : 0.03339385986328125 nb_pixel_total : 9773 time to create 1 rle with old method : 0.01546335220336914 length of segment : 158 time for calcul the mask position with numpy : 0.048427581787109375 nb_pixel_total : 27015 time to create 1 rle with old method : 0.03864741325378418 length of segment : 185 time for calcul the mask position with numpy : 0.021385669708251953 nb_pixel_total : 8017 time to create 1 rle with old method : 0.01345372200012207 length of segment : 115 time for calcul the mask position with numpy : 0.13714933395385742 nb_pixel_total : 108714 time to create 1 rle with old method : 0.12309718132019043 length of segment : 425 time for calcul the mask position with numpy : 0.08094429969787598 nb_pixel_total : 73113 time to create 1 rle with old method : 0.0870981216430664 length of segment : 319 time for calcul the mask position with numpy : 0.07358551025390625 nb_pixel_total : 93397 time to create 1 rle with old method : 0.1085360050201416 length of segment : 251 time for calcul the mask position with numpy : 0.013231992721557617 nb_pixel_total : 6979 time to create 1 rle with old method : 0.012465238571166992 length of segment : 90 time for calcul the mask position with numpy : 0.0394136905670166 nb_pixel_total : 44177 time to create 1 rle with old method : 0.05411934852600098 length of segment : 183 time for calcul the mask position with numpy : 0.09891891479492188 nb_pixel_total : 103234 time to create 1 rle with old method : 0.14676761627197266 length of segment : 353 time for calcul the mask position with numpy : 0.019939661026000977 nb_pixel_total : 13801 time to create 1 rle with old method : 0.025942087173461914 length of segment : 224 time for calcul the mask position with numpy : 0.006292819976806641 nb_pixel_total : 17076 time to create 1 rle with old method : 0.022542715072631836 length of segment : 167 time for calcul the mask position with numpy : 0.012963056564331055 nb_pixel_total : 20546 time to create 1 rle with old method : 0.026913881301879883 length of segment : 244 time for calcul the mask position with numpy : 0.008329153060913086 nb_pixel_total : 10374 time to create 1 rle with old method : 0.01411294937133789 length of segment : 176 time for calcul the mask position with numpy : 0.02583479881286621 nb_pixel_total : 48538 time to create 1 rle with old method : 0.07934141159057617 length of segment : 311 time for calcul the mask position with numpy : 0.031233787536621094 nb_pixel_total : 5752 time to create 1 rle with old method : 0.010884284973144531 length of segment : 148 time for calcul the mask position with numpy : 0.029316186904907227 nb_pixel_total : 62695 time to create 1 rle with old method : 0.08799505233764648 length of segment : 364 time for calcul the mask position with numpy : 0.06090044975280762 nb_pixel_total : 25012 time to create 1 rle with old method : 0.035043954849243164 length of segment : 265 time for calcul the mask position with numpy : 0.0011172294616699219 nb_pixel_total : 16669 time to create 1 rle with old method : 0.01980900764465332 length of segment : 130 time for calcul the mask position with numpy : 0.04103279113769531 nb_pixel_total : 85973 time to create 1 rle with old method : 0.12598323822021484 length of segment : 362 time for calcul the mask position with numpy : 0.0691537857055664 nb_pixel_total : 42058 time to create 1 rle with old method : 0.05443096160888672 length of segment : 339 time for calcul the mask position with numpy : 0.011442184448242188 nb_pixel_total : 21514 time to create 1 rle with old method : 0.024437427520751953 length of segment : 159 time for calcul the mask position with numpy : 0.03938102722167969 nb_pixel_total : 16608 time to create 1 rle with old method : 0.021561145782470703 length of segment : 113 time for calcul the mask position with numpy : 0.003553152084350586 nb_pixel_total : 8317 time to create 1 rle with old method : 0.011638641357421875 length of segment : 83 time for calcul the mask position with numpy : 0.02823662757873535 nb_pixel_total : 25089 time to create 1 rle with old method : 0.03591513633728027 length of segment : 318 time for calcul the mask position with numpy : 0.0045282840728759766 nb_pixel_total : 8407 time to create 1 rle with old method : 0.01250910758972168 length of segment : 97 time for calcul the mask position with numpy : 0.22330164909362793 nb_pixel_total : 163297 time to create 1 rle with new method : 0.011710882186889648 length of segment : 608 time for calcul the mask position with numpy : 0.022693157196044922 nb_pixel_total : 18327 time to create 1 rle with old method : 0.025396347045898438 length of segment : 150 time for calcul the mask position with numpy : 0.0392763614654541 nb_pixel_total : 13787 time to create 1 rle with old method : 0.02168869972229004 length of segment : 131 time for calcul the mask position with numpy : 0.04207348823547363 nb_pixel_total : 35021 time to create 1 rle with old method : 0.046628475189208984 length of segment : 318 time for calcul the mask position with numpy : 0.07360291481018066 nb_pixel_total : 56261 time to create 1 rle with old method : 0.06538224220275879 length of segment : 399 time for calcul the mask position with numpy : 0.012879371643066406 nb_pixel_total : 13338 time to create 1 rle with old method : 0.01766514778137207 length of segment : 127 time for calcul the mask position with numpy : 0.0018985271453857422 nb_pixel_total : 12848 time to create 1 rle with old method : 0.014904022216796875 length of segment : 139 time for calcul the mask position with numpy : 0.050513505935668945 nb_pixel_total : 44470 time to create 1 rle with old method : 0.06552720069885254 length of segment : 275 time for calcul the mask position with numpy : 0.004359245300292969 nb_pixel_total : 104964 time to create 1 rle with old method : 0.11582183837890625 length of segment : 403 time for calcul the mask position with numpy : 0.002426624298095703 nb_pixel_total : 3847 time to create 1 rle with old method : 0.00474238395690918 length of segment : 118 time for calcul the mask position with numpy : 0.1278226375579834 nb_pixel_total : 33733 time to create 1 rle with old method : 0.04049348831176758 length of segment : 320 time for calcul the mask position with numpy : 0.01628565788269043 nb_pixel_total : 38382 time to create 1 rle with old method : 0.04639291763305664 length of segment : 281 time for calcul the mask position with numpy : 0.22419142723083496 nb_pixel_total : 335616 time to create 1 rle with new method : 0.032805681228637695 length of segment : 1003 time for calcul the mask position with numpy : 0.035750627517700195 nb_pixel_total : 48927 time to create 1 rle with old method : 0.06178569793701172 length of segment : 228 time for calcul the mask position with numpy : 0.02801966667175293 nb_pixel_total : 10573 time to create 1 rle with old method : 0.01628851890563965 length of segment : 186 time for calcul the mask position with numpy : 0.02234959602355957 nb_pixel_total : 31996 time to create 1 rle with old method : 0.037240028381347656 length of segment : 315 time for calcul the mask position with numpy : 0.008888721466064453 nb_pixel_total : 10677 time to create 1 rle with old method : 0.014830350875854492 length of segment : 155 time for calcul the mask position with numpy : 0.11734676361083984 nb_pixel_total : 117879 time to create 1 rle with old method : 0.1706070899963379 length of segment : 498 time for calcul the mask position with numpy : 0.04694843292236328 nb_pixel_total : 37154 time to create 1 rle with old method : 0.05598735809326172 length of segment : 202 time for calcul the mask position with numpy : 0.016773223876953125 nb_pixel_total : 14092 time to create 1 rle with old method : 0.018081188201904297 length of segment : 101 time for calcul the mask position with numpy : 0.01108860969543457 nb_pixel_total : 56560 time to create 1 rle with old method : 0.06424641609191895 length of segment : 282 time for calcul the mask position with numpy : 0.0010879039764404297 nb_pixel_total : 9792 time to create 1 rle with old method : 0.010527610778808594 length of segment : 152 time for calcul the mask position with numpy : 0.0025949478149414062 nb_pixel_total : 15705 time to create 1 rle with old method : 0.017759084701538086 length of segment : 155 time for calcul the mask position with numpy : 0.02644658088684082 nb_pixel_total : 34193 time to create 1 rle with old method : 0.04625272750854492 length of segment : 156 time for calcul the mask position with numpy : 0.09928035736083984 nb_pixel_total : 104366 time to create 1 rle with old method : 0.13789868354797363 length of segment : 340 time for calcul the mask position with numpy : 0.07519912719726562 nb_pixel_total : 63987 time to create 1 rle with old method : 0.07039666175842285 length of segment : 314 time for calcul the mask position with numpy : 0.15599298477172852 nb_pixel_total : 60635 time to create 1 rle with old method : 0.06760907173156738 length of segment : 506 time for calcul the mask position with numpy : 0.07896137237548828 nb_pixel_total : 43850 time to create 1 rle with old method : 0.052251577377319336 length of segment : 536 time for calcul the mask position with numpy : 0.007791996002197266 nb_pixel_total : 10174 time to create 1 rle with old method : 0.016100168228149414 length of segment : 121 time for calcul the mask position with numpy : 0.03498268127441406 nb_pixel_total : 19237 time to create 1 rle with old method : 0.025195598602294922 length of segment : 142 time for calcul the mask position with numpy : 0.053026437759399414 nb_pixel_total : 17900 time to create 1 rle with old method : 0.023824691772460938 length of segment : 179 time for calcul the mask position with numpy : 0.01445627212524414 nb_pixel_total : 9687 time to create 1 rle with old method : 0.014756202697753906 length of segment : 150 time for calcul the mask position with numpy : 0.15747499465942383 nb_pixel_total : 79016 time to create 1 rle with old method : 0.08823442459106445 length of segment : 471 time for calcul the mask position with numpy : 0.00022029876708984375 nb_pixel_total : 5848 time to create 1 rle with old method : 0.008102655410766602 length of segment : 116 time for calcul the mask position with numpy : 0.06225109100341797 nb_pixel_total : 85527 time to create 1 rle with old method : 0.1053168773651123 length of segment : 340 time for calcul the mask position with numpy : 0.03370928764343262 nb_pixel_total : 20421 time to create 1 rle with old method : 0.029121875762939453 length of segment : 152 time for calcul the mask position with numpy : 0.10257291793823242 nb_pixel_total : 57073 time to create 1 rle with old method : 0.06560111045837402 length of segment : 302 time for calcul the mask position with numpy : 0.061842918395996094 nb_pixel_total : 54016 time to create 1 rle with old method : 0.06443572044372559 length of segment : 301 time for calcul the mask position with numpy : 0.04851818084716797 nb_pixel_total : 27231 time to create 1 rle with old method : 0.034398794174194336 length of segment : 186 time for calcul the mask position with numpy : 0.04741668701171875 nb_pixel_total : 45314 time to create 1 rle with old method : 0.055002450942993164 length of segment : 547 time for calcul the mask position with numpy : 0.050444602966308594 nb_pixel_total : 42765 time to create 1 rle with old method : 0.05054044723510742 length of segment : 472 time for calcul the mask position with numpy : 0.03136134147644043 nb_pixel_total : 42357 time to create 1 rle with old method : 0.05190682411193848 length of segment : 260 time for calcul the mask position with numpy : 0.018990278244018555 nb_pixel_total : 19987 time to create 1 rle with old method : 0.024966001510620117 length of segment : 267 time for calcul the mask position with numpy : 0.028621912002563477 nb_pixel_total : 63903 time to create 1 rle with old method : 0.07132863998413086 length of segment : 333 time for calcul the mask position with numpy : 0.005467891693115234 nb_pixel_total : 9007 time to create 1 rle with old method : 0.012228250503540039 length of segment : 82 time for calcul the mask position with numpy : 0.009744644165039062 nb_pixel_total : 76690 time to create 1 rle with old method : 0.08390450477600098 length of segment : 297 time for calcul the mask position with numpy : 0.008849143981933594 nb_pixel_total : 12091 time to create 1 rle with old method : 0.015359878540039062 length of segment : 195 time for calcul the mask position with numpy : 0.044451236724853516 nb_pixel_total : 33387 time to create 1 rle with old method : 0.0394136905670166 length of segment : 197 time for calcul the mask position with numpy : 0.041829824447631836 nb_pixel_total : 24711 time to create 1 rle with old method : 0.03330278396606445 length of segment : 197 time for calcul the mask position with numpy : 0.02583789825439453 nb_pixel_total : 40999 time to create 1 rle with old method : 0.04813981056213379 length of segment : 266 time for calcul the mask position with numpy : 0.004896640777587891 nb_pixel_total : 17239 time to create 1 rle with old method : 0.02009129524230957 length of segment : 171 time for calcul the mask position with numpy : 0.004169940948486328 nb_pixel_total : 20540 time to create 1 rle with old method : 0.025300264358520508 length of segment : 177 time for calcul the mask position with numpy : 0.020138978958129883 nb_pixel_total : 128161 time to create 1 rle with old method : 0.15495872497558594 length of segment : 358 time for calcul the mask position with numpy : 0.0008807182312011719 nb_pixel_total : 10906 time to create 1 rle with old method : 0.012350082397460938 length of segment : 122 time for calcul the mask position with numpy : 0.0015892982482910156 nb_pixel_total : 19752 time to create 1 rle with old method : 0.022147178649902344 length of segment : 121 time for calcul the mask position with numpy : 0.005223274230957031 nb_pixel_total : 29235 time to create 1 rle with old method : 0.034682512283325195 length of segment : 207 time for calcul the mask position with numpy : 0.0028481483459472656 nb_pixel_total : 22512 time to create 1 rle with old method : 0.02505207061767578 length of segment : 315 time for calcul the mask position with numpy : 0.0020596981048583984 nb_pixel_total : 6672 time to create 1 rle with old method : 0.007294416427612305 length of segment : 152 time for calcul the mask position with numpy : 0.003197193145751953 nb_pixel_total : 16478 time to create 1 rle with old method : 0.020758390426635742 length of segment : 146 time for calcul the mask position with numpy : 0.006074428558349609 nb_pixel_total : 21586 time to create 1 rle with old method : 0.025840044021606445 length of segment : 111 time for calcul the mask position with numpy : 0.006410837173461914 nb_pixel_total : 30501 time to create 1 rle with old method : 0.03545784950256348 length of segment : 210 time for calcul the mask position with numpy : 0.005040645599365234 nb_pixel_total : 32649 time to create 1 rle with old method : 0.03793811798095703 length of segment : 259 time for calcul the mask position with numpy : 0.005463361740112305 nb_pixel_total : 21896 time to create 1 rle with old method : 0.02662515640258789 length of segment : 216 time for calcul the mask position with numpy : 0.0008609294891357422 nb_pixel_total : 23477 time to create 1 rle with old method : 0.0255892276763916 length of segment : 124 time for calcul the mask position with numpy : 0.006830692291259766 nb_pixel_total : 55982 time to create 1 rle with old method : 0.08015751838684082 length of segment : 256 time for calcul the mask position with numpy : 0.0011780261993408203 nb_pixel_total : 29289 time to create 1 rle with old method : 0.03380918502807617 length of segment : 293 time for calcul the mask position with numpy : 0.012488842010498047 nb_pixel_total : 82235 time to create 1 rle with old method : 0.09400463104248047 length of segment : 265 time for calcul the mask position with numpy : 0.0027637481689453125 nb_pixel_total : 14835 time to create 1 rle with old method : 0.01902031898498535 length of segment : 227 time for calcul the mask position with numpy : 0.0017390251159667969 nb_pixel_total : 7004 time to create 1 rle with old method : 0.007726192474365234 length of segment : 116 time for calcul the mask position with numpy : 0.0015668869018554688 nb_pixel_total : 11834 time to create 1 rle with old method : 0.013330936431884766 length of segment : 148 time for calcul the mask position with numpy : 0.012915611267089844 nb_pixel_total : 32366 time to create 1 rle with old method : 0.04481673240661621 length of segment : 192 time for calcul the mask position with numpy : 0.005645751953125 nb_pixel_total : 42588 time to create 1 rle with old method : 0.046013832092285156 length of segment : 360 time for calcul the mask position with numpy : 0.041768550872802734 nb_pixel_total : 79056 time to create 1 rle with old method : 0.08989310264587402 length of segment : 334 time for calcul the mask position with numpy : 0.0046312808990478516 nb_pixel_total : 19045 time to create 1 rle with old method : 0.024194955825805664 length of segment : 152 time for calcul the mask position with numpy : 0.007265329360961914 nb_pixel_total : 18973 time to create 1 rle with old method : 0.02312159538269043 length of segment : 133 time for calcul the mask position with numpy : 0.004390239715576172 nb_pixel_total : 50639 time to create 1 rle with old method : 0.05518984794616699 length of segment : 227 time for calcul the mask position with numpy : 0.004860639572143555 nb_pixel_total : 85179 time to create 1 rle with old method : 0.09069466590881348 length of segment : 324 time for calcul the mask position with numpy : 0.0018811225891113281 nb_pixel_total : 18157 time to create 1 rle with old method : 0.02091836929321289 length of segment : 212 time for calcul the mask position with numpy : 0.00966024398803711 nb_pixel_total : 10116 time to create 1 rle with old method : 0.01776909828186035 length of segment : 78 time for calcul the mask position with numpy : 0.0057942867279052734 nb_pixel_total : 51405 time to create 1 rle with old method : 0.05716896057128906 length of segment : 512 time for calcul the mask position with numpy : 0.0026862621307373047 nb_pixel_total : 18252 time to create 1 rle with old method : 0.02106308937072754 length of segment : 158 time for calcul the mask position with numpy : 0.00892782211303711 nb_pixel_total : 87258 time to create 1 rle with old method : 0.09621620178222656 length of segment : 328 time for calcul the mask position with numpy : 0.001967906951904297 nb_pixel_total : 26358 time to create 1 rle with old method : 0.028833866119384766 length of segment : 157 time for calcul the mask position with numpy : 0.0013000965118408203 nb_pixel_total : 15344 time to create 1 rle with old method : 0.0171663761138916 length of segment : 108 time for calcul the mask position with numpy : 0.0018630027770996094 nb_pixel_total : 23684 time to create 1 rle with old method : 0.02587151527404785 length of segment : 174 time for calcul the mask position with numpy : 0.009145259857177734 nb_pixel_total : 44010 time to create 1 rle with old method : 0.052443504333496094 length of segment : 245 time for calcul the mask position with numpy : 0.0026121139526367188 nb_pixel_total : 16737 time to create 1 rle with old method : 0.017749309539794922 length of segment : 182 time for calcul the mask position with numpy : 0.001546621322631836 nb_pixel_total : 9584 time to create 1 rle with old method : 0.010751724243164062 length of segment : 109 time for calcul the mask position with numpy : 0.0033257007598876953 nb_pixel_total : 35966 time to create 1 rle with old method : 0.0399622917175293 length of segment : 255 time for calcul the mask position with numpy : 0.01150059700012207 nb_pixel_total : 89653 time to create 1 rle with old method : 0.1004490852355957 length of segment : 540 time for calcul the mask position with numpy : 0.01127004623413086 nb_pixel_total : 65145 time to create 1 rle with old method : 0.07230257987976074 length of segment : 324 time for calcul the mask position with numpy : 0.0011758804321289062 nb_pixel_total : 17469 time to create 1 rle with old method : 0.019736528396606445 length of segment : 161 time for calcul the mask position with numpy : 0.018482685089111328 nb_pixel_total : 33464 time to create 1 rle with old method : 0.041603803634643555 length of segment : 102 time for calcul the mask position with numpy : 0.0020313262939453125 nb_pixel_total : 20682 time to create 1 rle with old method : 0.02252340316772461 length of segment : 192 time for calcul the mask position with numpy : 0.007124662399291992 nb_pixel_total : 49975 time to create 1 rle with old method : 0.056291818618774414 length of segment : 265 time for calcul the mask position with numpy : 0.00617527961730957 nb_pixel_total : 46740 time to create 1 rle with old method : 0.050690412521362305 length of segment : 370 time for calcul the mask position with numpy : 0.011789560317993164 nb_pixel_total : 32854 time to create 1 rle with old method : 0.03998970985412598 length of segment : 206 time for calcul the mask position with numpy : 0.0011680126190185547 nb_pixel_total : 15858 time to create 1 rle with old method : 0.01781439781188965 length of segment : 221 time for calcul the mask position with numpy : 0.0011286735534667969 nb_pixel_total : 10749 time to create 1 rle with old method : 0.012159109115600586 length of segment : 130 time for calcul the mask position with numpy : 0.0022296905517578125 nb_pixel_total : 28314 time to create 1 rle with old method : 0.030890941619873047 length of segment : 172 time for calcul the mask position with numpy : 0.0014395713806152344 nb_pixel_total : 23850 time to create 1 rle with old method : 0.025766372680664062 length of segment : 150 time for calcul the mask position with numpy : 0.0018281936645507812 nb_pixel_total : 21169 time to create 1 rle with old method : 0.022960424423217773 length of segment : 181 time for calcul the mask position with numpy : 0.0037221908569335938 nb_pixel_total : 29271 time to create 1 rle with old method : 0.03196358680725098 length of segment : 214 time for calcul the mask position with numpy : 0.03393959999084473 nb_pixel_total : 50540 time to create 1 rle with old method : 0.0606997013092041 length of segment : 515 time for calcul the mask position with numpy : 0.0024771690368652344 nb_pixel_total : 24521 time to create 1 rle with old method : 0.027883529663085938 length of segment : 166 time for calcul the mask position with numpy : 0.001683950424194336 nb_pixel_total : 18767 time to create 1 rle with old method : 0.021259546279907227 length of segment : 180 time for calcul the mask position with numpy : 0.0027992725372314453 nb_pixel_total : 11838 time to create 1 rle with old method : 0.013660907745361328 length of segment : 351 time for calcul the mask position with numpy : 0.0023391246795654297 nb_pixel_total : 35864 time to create 1 rle with old method : 0.039923906326293945 length of segment : 250 time for calcul the mask position with numpy : 0.0015163421630859375 nb_pixel_total : 12262 time to create 1 rle with old method : 0.013624906539916992 length of segment : 164 time for calcul the mask position with numpy : 0.001417398452758789 nb_pixel_total : 13011 time to create 1 rle with old method : 0.013772964477539062 length of segment : 175 time for calcul the mask position with numpy : 0.0018050670623779297 nb_pixel_total : 35052 time to create 1 rle with old method : 0.03753781318664551 length of segment : 192 time for calcul the mask position with numpy : 0.002859354019165039 nb_pixel_total : 19730 time to create 1 rle with old method : 0.020626306533813477 length of segment : 215 time for calcul the mask position with numpy : 0.0017342567443847656 nb_pixel_total : 12107 time to create 1 rle with old method : 0.01307535171508789 length of segment : 142 time for calcul the mask position with numpy : 0.0029435157775878906 nb_pixel_total : 41240 time to create 1 rle with old method : 0.04504728317260742 length of segment : 330 time for calcul the mask position with numpy : 0.006012916564941406 nb_pixel_total : 72866 time to create 1 rle with old method : 0.07928252220153809 length of segment : 400 time for calcul the mask position with numpy : 0.001024484634399414 nb_pixel_total : 22088 time to create 1 rle with old method : 0.023382186889648438 length of segment : 206 time for calcul the mask position with numpy : 0.0052220821380615234 nb_pixel_total : 43160 time to create 1 rle with old method : 0.04815363883972168 length of segment : 358 time for calcul the mask position with numpy : 0.009438276290893555 nb_pixel_total : 20585 time to create 1 rle with old method : 0.025730133056640625 length of segment : 128 time for calcul the mask position with numpy : 0.009032011032104492 nb_pixel_total : 102238 time to create 1 rle with old method : 0.11088776588439941 length of segment : 324 time for calcul the mask position with numpy : 0.05973649024963379 nb_pixel_total : 66036 time to create 1 rle with old method : 0.08661603927612305 length of segment : 315 time for calcul the mask position with numpy : 0.00836324691772461 nb_pixel_total : 48740 time to create 1 rle with old method : 0.053739309310913086 length of segment : 410 time for calcul the mask position with numpy : 0.0010750293731689453 nb_pixel_total : 14970 time to create 1 rle with old method : 0.016421794891357422 length of segment : 105 time for calcul the mask position with numpy : 0.006474971771240234 nb_pixel_total : 33518 time to create 1 rle with old method : 0.03864765167236328 length of segment : 283 time for calcul the mask position with numpy : 0.001634359359741211 nb_pixel_total : 16567 time to create 1 rle with old method : 0.01896977424621582 length of segment : 143 time for calcul the mask position with numpy : 0.022661209106445312 nb_pixel_total : 11888 time to create 1 rle with old method : 0.018291234970092773 length of segment : 154 time for calcul the mask position with numpy : 0.0014085769653320312 nb_pixel_total : 17377 time to create 1 rle with old method : 0.019274234771728516 length of segment : 149 time for calcul the mask position with numpy : 0.010663509368896484 nb_pixel_total : 128858 time to create 1 rle with old method : 0.14093446731567383 length of segment : 444 time for calcul the mask position with numpy : 0.001867055892944336 nb_pixel_total : 21497 time to create 1 rle with old method : 0.022680282592773438 length of segment : 190 time for calcul the mask position with numpy : 0.0022280216217041016 nb_pixel_total : 17232 time to create 1 rle with old method : 0.018784761428833008 length of segment : 210 time for calcul the mask position with numpy : 0.002469301223754883 nb_pixel_total : 23806 time to create 1 rle with old method : 0.02608633041381836 length of segment : 204 time for calcul the mask position with numpy : 0.0036084651947021484 nb_pixel_total : 25587 time to create 1 rle with old method : 0.029895305633544922 length of segment : 187 time for calcul the mask position with numpy : 0.006986856460571289 nb_pixel_total : 36697 time to create 1 rle with old method : 0.04184675216674805 length of segment : 228 time for calcul the mask position with numpy : 0.003101825714111328 nb_pixel_total : 21751 time to create 1 rle with old method : 0.022837400436401367 length of segment : 214 time for calcul the mask position with numpy : 0.014235734939575195 nb_pixel_total : 40314 time to create 1 rle with old method : 0.04809927940368652 length of segment : 179 time for calcul the mask position with numpy : 0.002568483352661133 nb_pixel_total : 37803 time to create 1 rle with old method : 0.0413820743560791 length of segment : 259 time for calcul the mask position with numpy : 0.00561976432800293 nb_pixel_total : 101268 time to create 1 rle with old method : 0.11181259155273438 length of segment : 485 time for calcul the mask position with numpy : 0.0039327144622802734 nb_pixel_total : 15753 time to create 1 rle with old method : 0.01987934112548828 length of segment : 202 time for calcul the mask position with numpy : 0.0044384002685546875 nb_pixel_total : 24159 time to create 1 rle with old method : 0.031198740005493164 length of segment : 182 time for calcul the mask position with numpy : 0.005333423614501953 nb_pixel_total : 20995 time to create 1 rle with old method : 0.022112369537353516 length of segment : 208 time for calcul the mask position with numpy : 0.0005300045013427734 nb_pixel_total : 7377 time to create 1 rle with old method : 0.008647918701171875 length of segment : 95 time for calcul the mask position with numpy : 0.007736921310424805 nb_pixel_total : 45341 time to create 1 rle with old method : 0.05377936363220215 length of segment : 483 time for calcul the mask position with numpy : 0.008290767669677734 nb_pixel_total : 72687 time to create 1 rle with old method : 0.08407402038574219 length of segment : 332 time for calcul the mask position with numpy : 0.0017290115356445312 nb_pixel_total : 13228 time to create 1 rle with old method : 0.015746593475341797 length of segment : 146 time for calcul the mask position with numpy : 0.011088848114013672 nb_pixel_total : 16267 time to create 1 rle with old method : 0.025704383850097656 length of segment : 193 time for calcul the mask position with numpy : 0.0019478797912597656 nb_pixel_total : 27524 time to create 1 rle with old method : 0.030790090560913086 length of segment : 225 time for calcul the mask position with numpy : 0.005910396575927734 nb_pixel_total : 91857 time to create 1 rle with old method : 0.10096907615661621 length of segment : 256 time for calcul the mask position with numpy : 0.0007381439208984375 nb_pixel_total : 7630 time to create 1 rle with old method : 0.008640289306640625 length of segment : 124 time for calcul the mask position with numpy : 0.018683195114135742 nb_pixel_total : 17236 time to create 1 rle with old method : 0.024547100067138672 length of segment : 173 time for calcul the mask position with numpy : 0.004487276077270508 nb_pixel_total : 13448 time to create 1 rle with old method : 0.018000364303588867 length of segment : 158 time for calcul the mask position with numpy : 0.0014352798461914062 nb_pixel_total : 12138 time to create 1 rle with old method : 0.013684272766113281 length of segment : 149 time for calcul the mask position with numpy : 0.0028848648071289062 nb_pixel_total : 50181 time to create 1 rle with old method : 0.05554461479187012 length of segment : 255 time for calcul the mask position with numpy : 0.002571582794189453 nb_pixel_total : 34266 time to create 1 rle with old method : 0.03734111785888672 length of segment : 193 time for calcul the mask position with numpy : 0.005038738250732422 nb_pixel_total : 113342 time to create 1 rle with old method : 0.12423133850097656 length of segment : 520 time for calcul the mask position with numpy : 0.004000663757324219 nb_pixel_total : 31618 time to create 1 rle with old method : 0.03633570671081543 length of segment : 270 time for calcul the mask position with numpy : 0.012274026870727539 nb_pixel_total : 64329 time to create 1 rle with old method : 0.06856560707092285 length of segment : 438 time for calcul the mask position with numpy : 0.010481595993041992 nb_pixel_total : 89945 time to create 1 rle with old method : 0.1085360050201416 length of segment : 367 time for calcul the mask position with numpy : 0.004896402359008789 nb_pixel_total : 21136 time to create 1 rle with old method : 0.026440143585205078 length of segment : 128 time for calcul the mask position with numpy : 0.0046346187591552734 nb_pixel_total : 38358 time to create 1 rle with old method : 0.041808366775512695 length of segment : 338 time for calcul the mask position with numpy : 0.0018496513366699219 nb_pixel_total : 17598 time to create 1 rle with old method : 0.019471168518066406 length of segment : 215 time for calcul the mask position with numpy : 0.0015037059783935547 nb_pixel_total : 15978 time to create 1 rle with old method : 0.01854705810546875 length of segment : 150 time for calcul the mask position with numpy : 0.0031485557556152344 nb_pixel_total : 23009 time to create 1 rle with old method : 0.049668073654174805 length of segment : 177 time for calcul the mask position with numpy : 0.010087728500366211 nb_pixel_total : 64235 time to create 1 rle with old method : 0.07607293128967285 length of segment : 388 time for calcul the mask position with numpy : 0.008493900299072266 nb_pixel_total : 118150 time to create 1 rle with old method : 0.13074707984924316 length of segment : 300 time for calcul the mask position with numpy : 0.07379722595214844 nb_pixel_total : 65278 time to create 1 rle with old method : 0.12823033332824707 length of segment : 311 time for calcul the mask position with numpy : 0.003573179244995117 nb_pixel_total : 7319 time to create 1 rle with old method : 0.00869607925415039 length of segment : 90 time for calcul the mask position with numpy : 0.0005664825439453125 nb_pixel_total : 9249 time to create 1 rle with old method : 0.011114835739135742 length of segment : 78 time for calcul the mask position with numpy : 0.0026199817657470703 nb_pixel_total : 30551 time to create 1 rle with old method : 0.034950971603393555 length of segment : 214 time for calcul the mask position with numpy : 0.00815725326538086 nb_pixel_total : 67577 time to create 1 rle with old method : 0.09440779685974121 length of segment : 286 time for calcul the mask position with numpy : 0.0008697509765625 nb_pixel_total : 9083 time to create 1 rle with old method : 0.01514124870300293 length of segment : 170 time for calcul the mask position with numpy : 0.0011820793151855469 nb_pixel_total : 7350 time to create 1 rle with old method : 0.008536577224731445 length of segment : 124 time for calcul the mask position with numpy : 0.003578662872314453 nb_pixel_total : 37499 time to create 1 rle with old method : 0.04870939254760742 length of segment : 183 time for calcul the mask position with numpy : 0.02703690528869629 nb_pixel_total : 78626 time to create 1 rle with old method : 0.08640408515930176 length of segment : 304 time for calcul the mask position with numpy : 0.0014696121215820312 nb_pixel_total : 9954 time to create 1 rle with old method : 0.011414527893066406 length of segment : 149 time for calcul the mask position with numpy : 0.0053272247314453125 nb_pixel_total : 14289 time to create 1 rle with old method : 0.0263216495513916 length of segment : 208 time for calcul the mask position with numpy : 0.006067991256713867 nb_pixel_total : 38473 time to create 1 rle with old method : 0.04325389862060547 length of segment : 265 time for calcul the mask position with numpy : 0.0012471675872802734 nb_pixel_total : 13876 time to create 1 rle with old method : 0.015550374984741211 length of segment : 151 time for calcul the mask position with numpy : 0.0031800270080566406 nb_pixel_total : 16863 time to create 1 rle with old method : 0.021397829055786133 length of segment : 144 time for calcul the mask position with numpy : 0.03266501426696777 nb_pixel_total : 10141 time to create 1 rle with old method : 0.016397714614868164 length of segment : 123 time for calcul the mask position with numpy : 0.0013339519500732422 nb_pixel_total : 22926 time to create 1 rle with old method : 0.02556467056274414 length of segment : 165 time for calcul the mask position with numpy : 0.00019311904907226562 nb_pixel_total : 6277 time to create 1 rle with old method : 0.0070416927337646484 length of segment : 119 time for calcul the mask position with numpy : 0.0028455257415771484 nb_pixel_total : 36644 time to create 1 rle with old method : 0.040114402770996094 length of segment : 241 time for calcul the mask position with numpy : 0.0011518001556396484 nb_pixel_total : 37147 time to create 1 rle with old method : 0.041451454162597656 length of segment : 231 time for calcul the mask position with numpy : 0.006720542907714844 nb_pixel_total : 64622 time to create 1 rle with old method : 0.07145857810974121 length of segment : 458 time for calcul the mask position with numpy : 0.00397944450378418 nb_pixel_total : 46993 time to create 1 rle with old method : 0.05835986137390137 length of segment : 233 time for calcul the mask position with numpy : 0.0035042762756347656 nb_pixel_total : 13963 time to create 1 rle with old method : 0.016170263290405273 length of segment : 306 time for calcul the mask position with numpy : 0.0028069019317626953 nb_pixel_total : 9451 time to create 1 rle with old method : 0.01064300537109375 length of segment : 169 time for calcul the mask position with numpy : 0.037444353103637695 nb_pixel_total : 42688 time to create 1 rle with old method : 0.04646158218383789 length of segment : 276 time for calcul the mask position with numpy : 0.011677742004394531 nb_pixel_total : 24768 time to create 1 rle with old method : 0.027469635009765625 length of segment : 154 time for calcul the mask position with numpy : 0.001379251480102539 nb_pixel_total : 11933 time to create 1 rle with old method : 0.013204336166381836 length of segment : 115 time for calcul the mask position with numpy : 0.002294301986694336 nb_pixel_total : 21150 time to create 1 rle with old method : 0.023041248321533203 length of segment : 140 time for calcul the mask position with numpy : 0.0010819435119628906 nb_pixel_total : 11289 time to create 1 rle with old method : 0.012960195541381836 length of segment : 121 time for calcul the mask position with numpy : 0.010476112365722656 nb_pixel_total : 32110 time to create 1 rle with old method : 0.04755806922912598 length of segment : 275 time for calcul the mask position with numpy : 0.0030236244201660156 nb_pixel_total : 24025 time to create 1 rle with old method : 0.026286602020263672 length of segment : 221 time for calcul the mask position with numpy : 0.00525975227355957 nb_pixel_total : 76017 time to create 1 rle with old method : 0.08137154579162598 length of segment : 470 time for calcul the mask position with numpy : 0.009092330932617188 nb_pixel_total : 33330 time to create 1 rle with old method : 0.038831472396850586 length of segment : 616 time for calcul the mask position with numpy : 0.0005633831024169922 nb_pixel_total : 6460 time to create 1 rle with old method : 0.008730888366699219 length of segment : 109 time for calcul the mask position with numpy : 0.01108551025390625 nb_pixel_total : 26684 time to create 1 rle with old method : 0.03198981285095215 length of segment : 189 time for calcul the mask position with numpy : 0.009809255599975586 nb_pixel_total : 44634 time to create 1 rle with old method : 0.0506131649017334 length of segment : 390 time for calcul the mask position with numpy : 0.0007965564727783203 nb_pixel_total : 22572 time to create 1 rle with old method : 0.037018537521362305 length of segment : 220 time for calcul the mask position with numpy : 0.0025191307067871094 nb_pixel_total : 14738 time to create 1 rle with old method : 0.015904664993286133 length of segment : 112 time for calcul the mask position with numpy : 0.0028913021087646484 nb_pixel_total : 15469 time to create 1 rle with old method : 0.01713705062866211 length of segment : 145 time for calcul the mask position with numpy : 0.0018188953399658203 nb_pixel_total : 20024 time to create 1 rle with old method : 0.02263498306274414 length of segment : 147 time for calcul the mask position with numpy : 0.0003619194030761719 nb_pixel_total : 15722 time to create 1 rle with old method : 0.016994714736938477 length of segment : 203 time for calcul the mask position with numpy : 0.002400636672973633 nb_pixel_total : 19809 time to create 1 rle with old method : 0.021088361740112305 length of segment : 219 time for calcul the mask position with numpy : 0.0006046295166015625 nb_pixel_total : 16210 time to create 1 rle with old method : 0.01817178726196289 length of segment : 161 time for calcul the mask position with numpy : 0.0004825592041015625 nb_pixel_total : 9887 time to create 1 rle with old method : 0.010969161987304688 length of segment : 106 time for calcul the mask position with numpy : 0.005873680114746094 nb_pixel_total : 39166 time to create 1 rle with old method : 0.042558908462524414 length of segment : 281 time for calcul the mask position with numpy : 0.0004527568817138672 nb_pixel_total : 6221 time to create 1 rle with old method : 0.007277727127075195 length of segment : 88 time for calcul the mask position with numpy : 0.0016825199127197266 nb_pixel_total : 17561 time to create 1 rle with old method : 0.019865036010742188 length of segment : 290 time for calcul the mask position with numpy : 0.00044155120849609375 nb_pixel_total : 8414 time to create 1 rle with old method : 0.009421825408935547 length of segment : 91 time for calcul the mask position with numpy : 0.008616447448730469 nb_pixel_total : 18339 time to create 1 rle with old method : 0.02487969398498535 length of segment : 124 time for calcul the mask position with numpy : 0.011124610900878906 nb_pixel_total : 79034 time to create 1 rle with old method : 0.0864708423614502 length of segment : 458 time for calcul the mask position with numpy : 0.0037212371826171875 nb_pixel_total : 51075 time to create 1 rle with old method : 0.05560159683227539 length of segment : 315 time for calcul the mask position with numpy : 0.0009028911590576172 nb_pixel_total : 5830 time to create 1 rle with old method : 0.006689786911010742 length of segment : 96 time for calcul the mask position with numpy : 0.0017926692962646484 nb_pixel_total : 27976 time to create 1 rle with old method : 0.03137063980102539 length of segment : 204 time for calcul the mask position with numpy : 0.056911468505859375 nb_pixel_total : 90589 time to create 1 rle with old method : 0.1048126220703125 length of segment : 441 time for calcul the mask position with numpy : 0.011034488677978516 nb_pixel_total : 216862 time to create 1 rle with new method : 0.017121553421020508 length of segment : 791 time for calcul the mask position with numpy : 0.00036525726318359375 nb_pixel_total : 17954 time to create 1 rle with old method : 0.02004837989807129 length of segment : 116 time for calcul the mask position with numpy : 0.0008356571197509766 nb_pixel_total : 15049 time to create 1 rle with old method : 0.016523361206054688 length of segment : 164 time for calcul the mask position with numpy : 0.0015027523040771484 nb_pixel_total : 26939 time to create 1 rle with old method : 0.029532670974731445 length of segment : 370 time for calcul the mask position with numpy : 0.005687236785888672 nb_pixel_total : 143985 time to create 1 rle with old method : 0.1608421802520752 length of segment : 414 time for calcul the mask position with numpy : 0.005543708801269531 nb_pixel_total : 54493 time to create 1 rle with old method : 0.05915260314941406 length of segment : 130 time for calcul the mask position with numpy : 0.0013375282287597656 nb_pixel_total : 27352 time to create 1 rle with old method : 0.029184341430664062 length of segment : 200 time for calcul the mask position with numpy : 0.0011191368103027344 nb_pixel_total : 28034 time to create 1 rle with old method : 0.030765533447265625 length of segment : 188 time for calcul the mask position with numpy : 0.0010020732879638672 nb_pixel_total : 47578 time to create 1 rle with old method : 0.05402731895446777 length of segment : 262 time for calcul the mask position with numpy : 0.010641336441040039 nb_pixel_total : 23748 time to create 1 rle with old method : 0.03077101707458496 length of segment : 188 time for calcul the mask position with numpy : 0.001402139663696289 nb_pixel_total : 28876 time to create 1 rle with old method : 0.03265953063964844 length of segment : 218 time for calcul the mask position with numpy : 0.002289295196533203 nb_pixel_total : 50586 time to create 1 rle with old method : 0.055913686752319336 length of segment : 200 time for calcul the mask position with numpy : 0.0007293224334716797 nb_pixel_total : 19439 time to create 1 rle with old method : 0.021357059478759766 length of segment : 197 time for calcul the mask position with numpy : 0.0009369850158691406 nb_pixel_total : 20399 time to create 1 rle with old method : 0.022509336471557617 length of segment : 133 time for calcul the mask position with numpy : 0.014748573303222656 nb_pixel_total : 25039 time to create 1 rle with old method : 0.031317949295043945 length of segment : 160 time for calcul the mask position with numpy : 0.008848190307617188 nb_pixel_total : 249166 time to create 1 rle with new method : 0.012577056884765625 length of segment : 666 time for calcul the mask position with numpy : 0.0011444091796875 nb_pixel_total : 22407 time to create 1 rle with old method : 0.03696250915527344 length of segment : 208 time for calcul the mask position with numpy : 0.011652708053588867 nb_pixel_total : 52077 time to create 1 rle with old method : 0.05660605430603027 length of segment : 250 time for calcul the mask position with numpy : 0.004638195037841797 nb_pixel_total : 70964 time to create 1 rle with old method : 0.07575726509094238 length of segment : 396 time for calcul the mask position with numpy : 0.0029296875 nb_pixel_total : 52876 time to create 1 rle with old method : 0.058151960372924805 length of segment : 272 time for calcul the mask position with numpy : 0.000545501708984375 nb_pixel_total : 20395 time to create 1 rle with old method : 0.023127317428588867 length of segment : 213 time for calcul the mask position with numpy : 0.0004863739013671875 nb_pixel_total : 10093 time to create 1 rle with old method : 0.011481046676635742 length of segment : 134 time for calcul the mask position with numpy : 0.0024917125701904297 nb_pixel_total : 63525 time to create 1 rle with old method : 0.07151579856872559 length of segment : 331 time for calcul the mask position with numpy : 0.02287602424621582 nb_pixel_total : 51598 time to create 1 rle with old method : 0.05771660804748535 length of segment : 306 time for calcul the mask position with numpy : 0.008222579956054688 nb_pixel_total : 39115 time to create 1 rle with old method : 0.04589414596557617 length of segment : 221 time for calcul the mask position with numpy : 0.005043506622314453 nb_pixel_total : 31348 time to create 1 rle with old method : 0.03823733329772949 length of segment : 372 time for calcul the mask position with numpy : 0.04173731803894043 nb_pixel_total : 108015 time to create 1 rle with old method : 0.1329481601715088 length of segment : 549 time for calcul the mask position with numpy : 0.0005805492401123047 nb_pixel_total : 10943 time to create 1 rle with old method : 0.012615680694580078 length of segment : 89 time for calcul the mask position with numpy : 0.003396749496459961 nb_pixel_total : 32904 time to create 1 rle with old method : 0.05396699905395508 length of segment : 269 time for calcul the mask position with numpy : 0.0063648223876953125 nb_pixel_total : 19583 time to create 1 rle with old method : 0.0270383358001709 length of segment : 129 time for calcul the mask position with numpy : 0.0013680458068847656 nb_pixel_total : 14966 time to create 1 rle with old method : 0.02005481719970703 length of segment : 365 time for calcul the mask position with numpy : 0.0024688243865966797 nb_pixel_total : 112207 time to create 1 rle with old method : 0.1253955364227295 length of segment : 280 time for calcul the mask position with numpy : 0.0013773441314697266 nb_pixel_total : 47949 time to create 1 rle with old method : 0.05389976501464844 length of segment : 504 time for calcul the mask position with numpy : 0.0016748905181884766 nb_pixel_total : 73832 time to create 1 rle with old method : 0.0958709716796875 length of segment : 186 time for calcul the mask position with numpy : 0.0009808540344238281 nb_pixel_total : 33341 time to create 1 rle with old method : 0.05483269691467285 length of segment : 202 time for calcul the mask position with numpy : 0.009046554565429688 nb_pixel_total : 367783 time to create 1 rle with new method : 0.06034111976623535 length of segment : 1056 time for calcul the mask position with numpy : 0.002085447311401367 nb_pixel_total : 117851 time to create 1 rle with old method : 0.14007234573364258 length of segment : 211 time for calcul the mask position with numpy : 0.0029692649841308594 nb_pixel_total : 92085 time to create 1 rle with old method : 0.10106563568115234 length of segment : 231 time for calcul the mask position with numpy : 0.00038909912109375 nb_pixel_total : 10190 time to create 1 rle with old method : 0.01166677474975586 length of segment : 86 time for calcul the mask position with numpy : 0.0012319087982177734 nb_pixel_total : 34085 time to create 1 rle with old method : 0.041278839111328125 length of segment : 224 time for calcul the mask position with numpy : 0.02044534683227539 nb_pixel_total : 687177 time to create 1 rle with new method : 0.059803009033203125 length of segment : 1106 time for calcul the mask position with numpy : 0.0034313201904296875 nb_pixel_total : 86990 time to create 1 rle with old method : 0.09959864616394043 length of segment : 280 time for calcul the mask position with numpy : 0.013015270233154297 nb_pixel_total : 358759 time to create 1 rle with new method : 0.02753615379333496 length of segment : 898 time for calcul the mask position with numpy : 0.0008339881896972656 nb_pixel_total : 28091 time to create 1 rle with old method : 0.03127574920654297 length of segment : 137 time for calcul the mask position with numpy : 0.002832174301147461 nb_pixel_total : 111408 time to create 1 rle with old method : 0.12288641929626465 length of segment : 218 time for calcul the mask position with numpy : 0.0016863346099853516 nb_pixel_total : 60869 time to create 1 rle with old method : 0.06769847869873047 length of segment : 297 time for calcul the mask position with numpy : 0.0009071826934814453 nb_pixel_total : 31074 time to create 1 rle with old method : 0.035250186920166016 length of segment : 177 time for calcul the mask position with numpy : 0.002771615982055664 nb_pixel_total : 65101 time to create 1 rle with old method : 0.06879758834838867 length of segment : 367 time for calcul the mask position with numpy : 0.0028743743896484375 nb_pixel_total : 51649 time to create 1 rle with old method : 0.057386159896850586 length of segment : 662 time for calcul the mask position with numpy : 0.0010428428649902344 nb_pixel_total : 26919 time to create 1 rle with old method : 0.029418230056762695 length of segment : 204 time for calcul the mask position with numpy : 0.007265806198120117 nb_pixel_total : 310942 time to create 1 rle with new method : 0.012700557708740234 length of segment : 807 time for calcul the mask position with numpy : 0.0032927989959716797 nb_pixel_total : 69723 time to create 1 rle with old method : 0.07550692558288574 length of segment : 309 time for calcul the mask position with numpy : 0.007116556167602539 nb_pixel_total : 257735 time to create 1 rle with new method : 0.009837627410888672 length of segment : 760 time for calcul the mask position with numpy : 0.002337217330932617 nb_pixel_total : 72775 time to create 1 rle with old method : 0.0804443359375 length of segment : 297 time for calcul the mask position with numpy : 0.004984140396118164 nb_pixel_total : 259699 time to create 1 rle with new method : 0.01239919662475586 length of segment : 835 time for calcul the mask position with numpy : 0.003643035888671875 nb_pixel_total : 60848 time to create 1 rle with old method : 0.06483268737792969 length of segment : 499 time for calcul the mask position with numpy : 0.0015566349029541016 nb_pixel_total : 31513 time to create 1 rle with old method : 0.034078359603881836 length of segment : 248 time for calcul the mask position with numpy : 0.004123210906982422 nb_pixel_total : 109751 time to create 1 rle with old method : 0.1154475212097168 length of segment : 555 time for calcul the mask position with numpy : 0.002220630645751953 nb_pixel_total : 50594 time to create 1 rle with old method : 0.05299663543701172 length of segment : 384 time for calcul the mask position with numpy : 0.0016598701477050781 nb_pixel_total : 48041 time to create 1 rle with old method : 0.05101442337036133 length of segment : 380 time for calcul the mask position with numpy : 0.001378774642944336 nb_pixel_total : 35243 time to create 1 rle with old method : 0.044882774353027344 length of segment : 189 time for calcul the mask position with numpy : 0.008371353149414062 nb_pixel_total : 136668 time to create 1 rle with old method : 0.1483922004699707 length of segment : 422 time for calcul the mask position with numpy : 0.0019085407257080078 nb_pixel_total : 60553 time to create 1 rle with old method : 0.06481456756591797 length of segment : 244 time for calcul the mask position with numpy : 0.0010178089141845703 nb_pixel_total : 21571 time to create 1 rle with old method : 0.023413896560668945 length of segment : 206 time for calcul the mask position with numpy : 0.0010116100311279297 nb_pixel_total : 24982 time to create 1 rle with old method : 0.027575016021728516 length of segment : 273 time for calcul the mask position with numpy : 0.002557039260864258 nb_pixel_total : 60942 time to create 1 rle with old method : 0.06842470169067383 length of segment : 297 time for calcul the mask position with numpy : 0.0037271976470947266 nb_pixel_total : 77156 time to create 1 rle with old method : 0.08545136451721191 length of segment : 433 time for calcul the mask position with numpy : 0.0005762577056884766 nb_pixel_total : 12451 time to create 1 rle with old method : 0.013712167739868164 length of segment : 116 time for calcul the mask position with numpy : 0.0006999969482421875 nb_pixel_total : 19320 time to create 1 rle with old method : 0.021205902099609375 length of segment : 233 time for calcul the mask position with numpy : 0.003402233123779297 nb_pixel_total : 97421 time to create 1 rle with old method : 0.10618734359741211 length of segment : 479 time for calcul the mask position with numpy : 0.0018830299377441406 nb_pixel_total : 47450 time to create 1 rle with old method : 0.05492115020751953 length of segment : 278 time for calcul the mask position with numpy : 0.0008594989776611328 nb_pixel_total : 14089 time to create 1 rle with old method : 0.016227245330810547 length of segment : 151 time for calcul the mask position with numpy : 0.0008332729339599609 nb_pixel_total : 17797 time to create 1 rle with old method : 0.01998591423034668 length of segment : 172 time for calcul the mask position with numpy : 0.0007028579711914062 nb_pixel_total : 16868 time to create 1 rle with old method : 0.019021987915039062 length of segment : 186 time for calcul the mask position with numpy : 0.0015408992767333984 nb_pixel_total : 30732 time to create 1 rle with old method : 0.048517704010009766 length of segment : 466 time for calcul the mask position with numpy : 0.000263214111328125 nb_pixel_total : 4726 time to create 1 rle with old method : 0.005485057830810547 length of segment : 70 time for calcul the mask position with numpy : 0.0005893707275390625 nb_pixel_total : 12115 time to create 1 rle with old method : 0.013487577438354492 length of segment : 147 time for calcul the mask position with numpy : 0.0009448528289794922 nb_pixel_total : 20709 time to create 1 rle with old method : 0.02322697639465332 length of segment : 132 time for calcul the mask position with numpy : 0.005792140960693359 nb_pixel_total : 85820 time to create 1 rle with old method : 0.11101222038269043 length of segment : 434 time for calcul the mask position with numpy : 0.006429433822631836 nb_pixel_total : 108156 time to create 1 rle with old method : 0.11937952041625977 length of segment : 411 time for calcul the mask position with numpy : 0.000989675521850586 nb_pixel_total : 19281 time to create 1 rle with old method : 0.021725893020629883 length of segment : 77 time for calcul the mask position with numpy : 0.0018198490142822266 nb_pixel_total : 25937 time to create 1 rle with old method : 0.035184621810913086 length of segment : 263 time for calcul the mask position with numpy : 0.007195949554443359 nb_pixel_total : 126097 time to create 1 rle with old method : 0.1431286334991455 length of segment : 361 time for calcul the mask position with numpy : 0.001354217529296875 nb_pixel_total : 23323 time to create 1 rle with old method : 0.0257565975189209 length of segment : 159 time for calcul the mask position with numpy : 0.003941774368286133 nb_pixel_total : 73873 time to create 1 rle with old method : 0.08024239540100098 length of segment : 426 time for calcul the mask position with numpy : 0.0018851757049560547 nb_pixel_total : 32491 time to create 1 rle with old method : 0.036414146423339844 length of segment : 239 time for calcul the mask position with numpy : 0.000591278076171875 nb_pixel_total : 8510 time to create 1 rle with old method : 0.009834766387939453 length of segment : 87 time for calcul the mask position with numpy : 0.0015482902526855469 nb_pixel_total : 27164 time to create 1 rle with old method : 0.040880680084228516 length of segment : 138 time for calcul the mask position with numpy : 0.002958059310913086 nb_pixel_total : 43600 time to create 1 rle with old method : 0.04835176467895508 length of segment : 338 time for calcul the mask position with numpy : 0.0007603168487548828 nb_pixel_total : 9676 time to create 1 rle with old method : 0.011081218719482422 length of segment : 104 time for calcul the mask position with numpy : 0.0010333061218261719 nb_pixel_total : 12111 time to create 1 rle with old method : 0.014218807220458984 length of segment : 266 time for calcul the mask position with numpy : 0.0016086101531982422 nb_pixel_total : 23536 time to create 1 rle with old method : 0.026119232177734375 length of segment : 150 time for calcul the mask position with numpy : 0.006012439727783203 nb_pixel_total : 41702 time to create 1 rle with old method : 0.046354055404663086 length of segment : 486 time for calcul the mask position with numpy : 0.0018732547760009766 nb_pixel_total : 30575 time to create 1 rle with old method : 0.03521537780761719 length of segment : 285 time for calcul the mask position with numpy : 0.0063457489013671875 nb_pixel_total : 83185 time to create 1 rle with old method : 0.09301042556762695 length of segment : 290 time for calcul the mask position with numpy : 0.002378702163696289 nb_pixel_total : 50862 time to create 1 rle with old method : 0.0570218563079834 length of segment : 319 time for calcul the mask position with numpy : 0.00042629241943359375 nb_pixel_total : 7243 time to create 1 rle with old method : 0.0084228515625 length of segment : 110 time for calcul the mask position with numpy : 0.002185344696044922 nb_pixel_total : 38087 time to create 1 rle with old method : 0.04261922836303711 length of segment : 247 time for calcul the mask position with numpy : 0.004436492919921875 nb_pixel_total : 85520 time to create 1 rle with old method : 0.09252810478210449 length of segment : 467 time for calcul the mask position with numpy : 0.0035424232482910156 nb_pixel_total : 64171 time to create 1 rle with old method : 0.06761980056762695 length of segment : 312 time for calcul the mask position with numpy : 0.0011060237884521484 nb_pixel_total : 17040 time to create 1 rle with old method : 0.018610239028930664 length of segment : 177 time for calcul the mask position with numpy : 0.00028395652770996094 nb_pixel_total : 7204 time to create 1 rle with old method : 0.007988452911376953 length of segment : 143 time for calcul the mask position with numpy : 0.0012505054473876953 nb_pixel_total : 24196 time to create 1 rle with old method : 0.026208877563476562 length of segment : 170 time for calcul the mask position with numpy : 0.0010325908660888672 nb_pixel_total : 17728 time to create 1 rle with old method : 0.019541263580322266 length of segment : 182 time for calcul the mask position with numpy : 0.0007851123809814453 nb_pixel_total : 13682 time to create 1 rle with old method : 0.015504598617553711 length of segment : 167 time for calcul the mask position with numpy : 0.004010677337646484 nb_pixel_total : 74165 time to create 1 rle with old method : 0.07896566390991211 length of segment : 337 time for calcul the mask position with numpy : 0.001959562301635742 nb_pixel_total : 32416 time to create 1 rle with old method : 0.03589320182800293 length of segment : 225 time for calcul the mask position with numpy : 0.0015025138854980469 nb_pixel_total : 26306 time to create 1 rle with old method : 0.034612178802490234 length of segment : 162 time for calcul the mask position with numpy : 0.004050731658935547 nb_pixel_total : 96720 time to create 1 rle with old method : 0.10263967514038086 length of segment : 436 time for calcul the mask position with numpy : 0.0075566768646240234 nb_pixel_total : 113585 time to create 1 rle with old method : 0.12250232696533203 length of segment : 682 time for calcul the mask position with numpy : 0.0023381710052490234 nb_pixel_total : 51900 time to create 1 rle with old method : 0.05611395835876465 length of segment : 348 time for calcul the mask position with numpy : 0.0031478404998779297 nb_pixel_total : 41675 time to create 1 rle with old method : 0.04371237754821777 length of segment : 481 time for calcul the mask position with numpy : 0.00289154052734375 nb_pixel_total : 64615 time to create 1 rle with old method : 0.06990861892700195 length of segment : 434 time for calcul the mask position with numpy : 0.001065969467163086 nb_pixel_total : 22642 time to create 1 rle with old method : 0.025356769561767578 length of segment : 153 time for calcul the mask position with numpy : 0.0011990070343017578 nb_pixel_total : 23443 time to create 1 rle with old method : 0.026090621948242188 length of segment : 182 time for calcul the mask position with numpy : 0.0005018711090087891 nb_pixel_total : 9066 time to create 1 rle with old method : 0.010281801223754883 length of segment : 104 time for calcul the mask position with numpy : 0.010303974151611328 nb_pixel_total : 202995 time to create 1 rle with new method : 0.015099525451660156 length of segment : 797 time for calcul the mask position with numpy : 0.0032231807708740234 nb_pixel_total : 63292 time to create 1 rle with old method : 0.06951642036437988 length of segment : 283 time for calcul the mask position with numpy : 0.0013756752014160156 nb_pixel_total : 27356 time to create 1 rle with old method : 0.02990889549255371 length of segment : 256 time for calcul the mask position with numpy : 0.011046648025512695 nb_pixel_total : 222574 time to create 1 rle with new method : 0.014863729476928711 length of segment : 965 time for calcul the mask position with numpy : 0.0012547969818115234 nb_pixel_total : 33398 time to create 1 rle with old method : 0.036179304122924805 length of segment : 248 time for calcul the mask position with numpy : 0.0009815692901611328 nb_pixel_total : 21834 time to create 1 rle with old method : 0.023998737335205078 length of segment : 176 time for calcul the mask position with numpy : 0.0005719661712646484 nb_pixel_total : 9204 time to create 1 rle with old method : 0.01030588150024414 length of segment : 149 time for calcul the mask position with numpy : 0.0006501674652099609 nb_pixel_total : 12533 time to create 1 rle with old method : 0.013846158981323242 length of segment : 141 time for calcul the mask position with numpy : 0.00031948089599609375 nb_pixel_total : 5189 time to create 1 rle with old method : 0.005864381790161133 length of segment : 57 time for calcul the mask position with numpy : 0.004570484161376953 nb_pixel_total : 68298 time to create 1 rle with old method : 0.09375262260437012 length of segment : 523 time for calcul the mask position with numpy : 0.0013835430145263672 nb_pixel_total : 17523 time to create 1 rle with old method : 0.020591259002685547 length of segment : 234 time for calcul the mask position with numpy : 0.00112152099609375 nb_pixel_total : 24105 time to create 1 rle with old method : 0.026863813400268555 length of segment : 212 time for calcul the mask position with numpy : 0.0008609294891357422 nb_pixel_total : 15723 time to create 1 rle with old method : 0.01723623275756836 length of segment : 214 time for calcul the mask position with numpy : 0.002397775650024414 nb_pixel_total : 51279 time to create 1 rle with old method : 0.05644392967224121 length of segment : 331 time spent for convertir_results : 111.74823927879333 Inside saveOutput : final : False verbose : 0 eke 12-6-18 : saveMask need to be cleaned for new output ! Number saved : None batch 1 Loaded 1608 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 67646 save missing photos in datou_result : time spend for datou_step_exec : 548.5440130233765 time spend to save output : 94.75324010848999 total time spend for step 1 : 643.2972531318665 step2:crop_condition Fri Apr 11 00:31:17 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure Loading chi in step crop with photo_hashtag_type : 3594 Loading chi in step crop for list_pids : 28 ! batch 1 Loaded 1608 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ begin to crop the class : papier param for this class : {'min_score': 0.7} filtre for class : papier hashtag_id of this class : 492668766 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! map_result returned by crop_photo_return_map_crop : length : 1111 About to insert : list_path_to_insert length 1111 new photo from crops ! About to upload 1111 photos upload in portfolio : 3736932 init cache_photo without model_param we have 1111 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744324498_776321 we have uploaded 1111 photos in the portfolio 3736932 time of upload the photos Elapsed time : 526.8113214969635 we have finished the crop for the class : papier begin to crop the class : carton param for this class : {'min_score': 0.7} filtre for class : carton hashtag_id of this class : 492774966 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! map_result returned by crop_photo_return_map_crop : length : 267 About to insert : list_path_to_insert length 267 new photo from crops ! About to upload 267 photos upload in portfolio : 3736932 init cache_photo without model_param we have 267 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744325083_776321 we have uploaded 267 photos in the portfolio 3736932 time of upload the photos Elapsed time : 131.64361882209778 we have finished the crop for the class : carton begin to crop the class : metal param for this class : {'min_score': 0.7} filtre for class : metal hashtag_id of this class : 492628673 we have both polygon and rles Next one ! we have both polygon and rles Next one ! map_result returned by crop_photo_return_map_crop : length : 2 About to insert : list_path_to_insert length 2 new photo from crops ! About to upload 2 photos upload in portfolio : 3736932 init cache_photo without model_param we have 2 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744325223_776321 we have uploaded 2 photos in the portfolio 3736932 time of upload the photos Elapsed time : 1.1281626224517822 we have finished the crop for the class : metal begin to crop the class : pet_clair param for this class : {'min_score': 0.7} filtre for class : pet_clair hashtag_id of this class : 2107755846 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! Next one ! map_result returned by crop_photo_return_map_crop : length : 162 About to insert : list_path_to_insert length 162 new photo from crops ! About to upload 162 photos upload in portfolio : 3736932 init cache_photo without model_param we have 162 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744325277_776321 we have uploaded 162 photos in the portfolio 3736932 time of upload the photos Elapsed time : 66.62783122062683 we have finished the crop for the class : pet_clair begin to crop the class : autre param for this class : {'min_score': 0.7} filtre for class : autre hashtag_id of this class : 494826614 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! map_result returned by crop_photo_return_map_crop : length : 26 About to insert : list_path_to_insert length 26 new photo from crops ! About to upload 26 photos upload in portfolio : 3736932 init cache_photo without model_param we have 26 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744325351_776321 we have uploaded 26 photos in the portfolio 3736932 time of upload the photos Elapsed time : 8.751898765563965 we have finished the crop for the class : autre begin to crop the class : pehd param for this class : {'min_score': 0.7} filtre for class : pehd hashtag_id of this class : 628944319 we have both polygon and rles Next one ! we have both polygon and rles Next one ! map_result returned by crop_photo_return_map_crop : length : 2 About to insert : list_path_to_insert length 2 new photo from crops ! About to upload 2 photos upload in portfolio : 3736932 init cache_photo without model_param we have 2 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744325364_776321 we have uploaded 2 photos in the portfolio 3736932 time of upload the photos Elapsed time : 2.1461219787597656 we have finished the crop for the class : pehd begin to crop the class : pet_fonce param for this class : {'min_score': 0.7} filtre for class : pet_fonce hashtag_id of this class : 2107755900 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! we have both polygon and rles Next one ! Next one ! map_result returned by crop_photo_return_map_crop : length : 17 About to insert : list_path_to_insert length 17 new photo from crops ! About to upload 17 photos upload in portfolio : 3736932 init cache_photo without model_param we have 17 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744325374_776321 we have uploaded 17 photos in the portfolio 3736932 time of upload the photos Elapsed time : 4.300847053527832 we have finished the crop for the class : pet_fonce delete rles from all chi we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : crop_condition we use saveGeneral [1351339457, 1351339297, 1351339200, 1351339041, 1351338401, 1351338092, 1351337839, 1351251337, 1351251330, 1351251314, 1351251256, 1351251180, 1351251131, 1351249627, 1351249574, 1351249482, 1351249425, 1351249306, 1351248754, 1351248638, 1351248560, 1351248494, 1351248442, 1351248348, 1351248338, 1351248317, 1351248287, 1351248260] Looping around the photos to save general results len do output : 1587 /1351378101Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378102Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378103Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378107Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378108Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378111Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378112Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378113Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378115Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378116Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378117Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378118Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378120Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378121Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378123Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378124Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378125Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378127Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378129Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378130Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378131Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378133Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378134Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378135Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378137Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378138Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378139Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378140Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378142Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378143Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378153Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378157Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378158Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378162Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378165Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378167Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378169Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378173Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378174Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378175Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378179Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378180Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378181Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378183Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378186Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378187Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378188Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378191Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378192Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378196Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378200Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378201Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378205Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378206Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378209Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378210Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378211Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378212Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378215Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378216Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378217Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378220Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378221Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378222Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378224Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378226Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378227Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378229Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378231Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378232Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378233Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378236Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378237Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378238Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378240Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378242Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378243Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378245Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378247Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378248Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378250Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378252Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378253Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378255Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378257Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378258Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378260Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378262Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378264Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378265Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378267Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378269Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378270Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378271Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378276Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378277Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378278Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378280Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378282Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378283Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378284Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378287Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378288Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378289Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378291Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378293Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378294Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378295Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378298Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378299Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378300Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378302Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378304Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378305Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378307Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378309Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378310Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378311Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378314Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378315Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378316Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378318Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378320Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378321Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378323Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378325Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378326Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378327Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378330Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378331Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378332Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378335Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378337Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378338Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378340Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378342Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378343Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378344Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378346Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378348Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378349Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378351Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378353Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378354Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378355Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378357Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378359Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378360Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378362Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378364Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378365Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378366Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378368Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378370Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378371Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378373Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378375Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378376Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378377Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378379Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378381Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378382Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378384Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378386Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378387Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378388Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378390Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378392Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378393Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378395Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378397Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378398Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378400Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378402Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378403Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378404Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378406Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378408Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378409Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378411Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378413Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378414Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378417Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378420Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378421Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378422Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378426Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378427Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378430Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378432Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378434Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378435Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378437Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378439Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378440Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378443Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378444Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378445Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378448Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378449Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378450Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378453Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378454Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378455Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378457Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378459Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378461Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378463Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378465Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378467Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378472Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378473Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378475Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378478Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378479Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378480Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378484Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378486Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378487Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378489Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378492Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378493Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378495Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378498Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378499Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378501Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378504Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378505Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378507Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378510Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378511Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378513Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378516Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378517Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378519Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378522Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378524Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378527Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378529Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378530Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378533Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378535Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378538Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378540Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378541Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378544Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378546Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378547Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378550Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378552Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378553Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378556Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378558Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378559Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378564Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378565Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378569Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378570Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378571Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378574Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378576Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378578Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378579Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378582Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378583Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378584Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378586Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378588Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378589Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378591Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378593Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378595Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378598Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378599Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378601Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378604Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378605Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378608Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378611Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378612Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378613Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378616Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378617Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378618Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378621Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378622Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378624Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378626Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378627Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378629Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378630Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378631Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378633Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378634Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378635Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378636Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378638Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378639Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378646Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378647Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378649Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378650Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378652Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378654Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378655Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378657Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378658Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378660Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378662Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378665Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378666Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378667Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378670Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378671Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378672Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378675Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378676Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378677Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378680Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378681Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378682Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378685Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378686Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378689Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378690Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378691Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378693Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378694Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378697Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378698Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378699Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378701Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378702Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378703Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378705Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378706Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378707Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378709Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378710Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378711Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378713Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378714Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378715Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378717Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378723Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378725Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378726Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378727Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378728Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378729Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378730Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378731Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378732Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378733Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378735Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378736Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378737Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378738Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378739Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378740Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378741Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378742Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378743Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378744Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378745Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378746Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378747Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378748Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378749Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378750Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378751Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378752Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378753Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378754Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378755Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378756Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378757Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378758Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378760Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378761Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378762Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378763Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378764Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378765Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378766Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378767Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378768Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378769Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378771Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378772Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378773Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378774Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378775Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378776Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378777Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378778Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378779Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378780Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378781Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378782Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378783Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378784Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378785Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378786Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378787Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378788Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378789Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378791Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378792Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378793Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378794Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378796Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378797Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378799Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378800Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378801Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378802Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378803Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378804Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378805Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378807Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378808Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378809Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378811Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378812Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378813Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378815Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378816Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378817Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378819Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378820Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378821Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378822Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378824Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378825Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378826Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378828Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378829Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378830Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378832Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378833Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378834Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378837Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378838Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378839Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378843Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378844Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378846Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378847Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378848Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378850Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378851Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378852Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378855Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378856Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378858Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378859Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378860Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378863Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378864Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378865Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378867Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378868Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378869Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378871Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378872Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378873Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378875Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378876Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378877Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378879Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378880Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378882Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378883Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378884Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378886Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378887Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378890Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378892Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378893Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378894Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378896Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378897Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378899Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378901Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378902Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378903Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378905Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378906Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378907Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378909Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378910Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378911Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378913Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378914Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378916Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378917Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378919Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378920Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378921Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378924Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378926Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378927Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378929Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378933Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378934Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378937Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378938Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378940Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378941Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378943Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378944Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378946Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378947Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378948Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378950Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378951Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378952Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378954Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378955Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378957Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378958Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378959Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378960Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378962Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378963Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378965Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378966Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378967Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378969Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378970Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378977Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378978Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378979Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378981Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378982Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378984Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378985Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378986Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378987Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378989Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378990Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378991Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378993Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378994Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378995Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378997Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378998Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351378999Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379001Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379002Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379003Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379005Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379006Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379007Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379009Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379010Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379011Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379013Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379014Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379015Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379017Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379018Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379019Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379021Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379022Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379023Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379025Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379026Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379027Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379029Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379030Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379032Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379033Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379034Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379036Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379037Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379038Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379040Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379041Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379042Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379044Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379045Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379046Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379047Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379048Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379049Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379050Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379051Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379052Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379053Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379054Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379055Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379056Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379058Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379059Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379060Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379062Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379063Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379064Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379066Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379067Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379068Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379070Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379071Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379072Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379074Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379076Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379077Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379079Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379080Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379081Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379083Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379085Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379087Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379089Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379090Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379091Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379093Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379094Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379095Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379098Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379099Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379100Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379102Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379103Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379104Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379105Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379107Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379108Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379109Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379111Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379112Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379113Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379115Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379116Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379118Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379119Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379120Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379122Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379124Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379125Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379127Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379129Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379130Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379132Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379133Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379134Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379136Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379137Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379138Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379140Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379142Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379143Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379145Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379146Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379147Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379149Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379150Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379151Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379153Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379154Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379155Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379158Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379159Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379160Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379162Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379163Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379164Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379166Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379168Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379169Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379171Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379173Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379174Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379175Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379177Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379178Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379179Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379181Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379182Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379183Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379185Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379186Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379187Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379189Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379190Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379191Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379193Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379194Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379195Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379197Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379198Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379199Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379201Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379202Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379203Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379206Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379208Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379209Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379210Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379212Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379213Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379214Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379216Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379217Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379218Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379220Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379221Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379222Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379227Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379229Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379233Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379235Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379237Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379243Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379245Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379248Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379251Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379253Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379255Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379257Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379258Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379260Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379262Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379263Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379265Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379267Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379268Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379270Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379272Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379273Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379275Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379277Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379278Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379280Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379282Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379283Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379284Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379287Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379288Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379289Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379291Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379293Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379294Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379296Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379298Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379299Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379301Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379303Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379304Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379308Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379310Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379311Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379314Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379316Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379317Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379324Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379325Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379328Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379329Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379330Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379333Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379334Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379335Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379338Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379339Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379340Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379343Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379344Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379345Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379348Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379353Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379356Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379362Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379364Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379366Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379372Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379374Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379376Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379380Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379381Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379382Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379386Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379387Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379388Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379392Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379393Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379396Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379398Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379403Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379405Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379406Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379410Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379412Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379413Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379417Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379418Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379419Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379423Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379424Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379428Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379429Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379430Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379434Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379435Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379438Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379440Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379443Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379444Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379446Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379449Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379450Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379455Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379458Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379459Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379461Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379464Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379465Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379469Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379470Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379472Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379475Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379476Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379481Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379484Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379486Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379487Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379490Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379492Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379493Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379496Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379498Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379499Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379502Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379504Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379505Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379508Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379510Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379512Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379514Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379516Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379526Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379528Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379538Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379539Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379541Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379545Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379547Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379549Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379553Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379555Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379557Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379561Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379563Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379565Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379569Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379571Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379573Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379577Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379579Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379581Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379585Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379588Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379591Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379594Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379595Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379597Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379599Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379601Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379606Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379608Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379609Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379612Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379613Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379614Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379616Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379618Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379619Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379621Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379623Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379624Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379626Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379628Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379630Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379631Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379632Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379634Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379635Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379636Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379638Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379639Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379641Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379643Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379644Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379645Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379646Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379647Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379648Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379649Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379650Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379651Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379652Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379653Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379654Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379655Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379656Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379657Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379660Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379661Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379662Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379663Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379664Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379665Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379666Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379668Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379669Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379670Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379671Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379672Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379673Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379674Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379675Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379676Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379677Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379678Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379679Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379680Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379681Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379682Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379683Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379684Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379685Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379686Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379687Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379688Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379689Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379691Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379693Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379695Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379697Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379699Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379701Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379703Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379705Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379707Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379709Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379711Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379713Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379715Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379717Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379719Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379721Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379723Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379725Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379728Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379729Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379730Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379731Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379732Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379733Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379734Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379735Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379736Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379737Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379738Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379739Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379740Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379741Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379742Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379743Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379744Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379745Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379747Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379748Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379749Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379750Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379751Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379752Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379753Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379754Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379755Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379756Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379757Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379758Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379759Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379760Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379761Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379762Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379763Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379764Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379765Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379766Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379768Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379769Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379770Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379771Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379772Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379773Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379774Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379775Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379776Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379777Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379778Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379779Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379780Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379781Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379782Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379783Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379785Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379786Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379788Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379790Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379791Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379792Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379794Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379795Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379796Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379798Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379799Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379800Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379802Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379803Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379804Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379806Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379807Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379808Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379810Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379811Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379812Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379814Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379815Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379816Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379817Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379819Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379820Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379821Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379823Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379824Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379825Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379827Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379828Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379829Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379831Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379832Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379833Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379835Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379836Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379837Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379839Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379840Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379841Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379843Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379844Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379845Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379847Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379848Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379849Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379851Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379852Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379853Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379855Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379856Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379858Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379860Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379861Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379862Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379864Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379865Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379866Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379868Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379869Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379870Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379872Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379873Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379874Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379876Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379877Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379878Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379880Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379883Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379886Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379888Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379892Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379895Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379897Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379899Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379902Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379904Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379906Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379909Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379911Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379913Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379915Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379917Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379919Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379922Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379924Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379926Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379928Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379930Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379932Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379934Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379936Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379938Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379940Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379942Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379944Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379946Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379949Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351379950Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380584Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380588Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380589Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380592Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380593Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380596Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380600Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380601Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380603Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380606Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380607Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380608Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380611Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380612Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380614Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380616Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380620Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380623Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380626Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380627Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380628Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380630Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380631Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380632Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380634Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380635Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380636Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380638Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380639Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380640Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380642Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380643Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380645Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380646Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380663Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380664Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380665Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380667Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380669Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380670Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380672Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380673Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380674Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380677Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380678Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380680Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380682Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380683Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380685Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380686Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380687Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380689Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380690Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380691Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380693Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380694Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380696Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380698Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380699Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380702Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380703Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380704Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380705Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380707Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380708Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380710Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380711Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380712Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380714Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380715Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380716Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380717Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380719Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380720Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380721Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380723Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380724Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380727Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380728Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380729Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380730Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380732Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380733Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380734Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380736Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380737Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380738Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380742Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380743Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380744Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380746Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380747Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380748Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380750Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380751Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380752Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380754Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380755Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380756Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380760Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380761Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380762Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380764Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380765Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380766Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380767Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380769Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380770Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380771Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380773Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380774Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380775Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380777Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380778Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380779Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380781Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380782Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380784Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380785Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380786Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380788Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380789Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380790Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380792Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380793Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380795Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380797Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380798Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380799Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380802Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380803Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380804Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380806Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380807Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380808Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380810Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380811Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380812Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380813Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380814Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380815Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380816Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380817Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380818Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380821Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380822Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380823Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380824Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380825Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380826Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380827Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380828Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380829Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380830Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380831Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380832Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380833Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380834Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380835Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380836Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380837Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380838Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380839Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380841Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380842Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380843Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380844Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380846Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380847Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380848Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380849Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380850Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380852Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380853Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380854Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380855Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380856Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380857Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380858Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380859Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380861Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380862Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380863Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380864Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380865Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380866Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380867Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380868Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380869Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380870Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380872Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380873Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380874Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380876Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380878Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380879Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380880Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380881Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380882Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380883Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380885Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380886Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380887Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380888Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380889Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380890Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380891Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380892Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380894Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380895Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380896Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380897Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380898Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380899Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380900Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380901Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380902Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380903Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380904Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380905Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380906Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380907Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380908Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380909Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380910Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380911Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380912Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380913Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380915Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380916Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380917Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380918Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380919Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380920Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380922Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380924Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380925Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380926Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380928Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380929Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380930Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380934Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380935Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380936Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380937Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380938Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380939Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380941Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380942Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380943Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380944Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380945Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380946Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380947Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380948Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380949Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380950Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380951Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380952Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380953Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380954Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380955Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380956Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380957Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380958Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380959Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380960Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380966Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351380967Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381088Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381090Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381092Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381095Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381096Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381097Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381098Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381099Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381100Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381101Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381102Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381103Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381104Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381105Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381106Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381107Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381108Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381109Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381110Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381113Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381114Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381115Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381116Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381117Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381118Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381119Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381120Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381121Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381122Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381124Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381125Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381126Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381127Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381128Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381131Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381134Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381137Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381142Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381146Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381149Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381152Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381155Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381158Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381162Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381165Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381167Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381169Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381170Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381171Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381172Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381173Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381174Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381175Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381176Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381177Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381178Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381179Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381180Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381181Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381182Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381183Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381184Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381185Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381186Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381187Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381188Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381189Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381190Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381191Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381192Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381193Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381194Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381195Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381196Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381197Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381198Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381199Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381200Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381202Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381203Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381204Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381205Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381207Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381208Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381209Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381211Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381212Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381213Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381214Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381215Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381216Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381217Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381218Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381219Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381220Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381221Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381222Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381223Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381224Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381225Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381226Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381227Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381228Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381229Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381230Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381231Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381232Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381233Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381234Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381235Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381236Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381237Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381238Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381239Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381240Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381241Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381242Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381243Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381244Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381246Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381247Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381248Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381249Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381250Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381251Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381252Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381253Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381254Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381255Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381256Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381257Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381258Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381261Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381262Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381263Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381264Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381265Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381266Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381267Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381269Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381270Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381272Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381273Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381274Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381275Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381277Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381278Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381279Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381280Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381281Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381282Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381283Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381284Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381285Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381286Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381287Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381288Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381289Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381290Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381291Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381292Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381293Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381329Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381333Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381335Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381336Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381339Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381342Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381345Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381348Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381352Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381353Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381354Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381355Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381357Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381358Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381359Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381360Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381361Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381362Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381363Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381364Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381365Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381366Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381367Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381368Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381369Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381370Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381378Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381379Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381413Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381414Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381415Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381416Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381417Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381418Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381419Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381420Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381421Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381423Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381424Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381425Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381426Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381427Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381428Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381429Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1351381430Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339457', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339297', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339200', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339041', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351338401', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351338092', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351337839', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251337', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251330', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251314', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251256', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251180', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251131', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249627', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249574', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249482', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249425', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249306', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248754', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248638', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248560', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248494', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248442', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248348', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248338', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248317', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248287', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248260', None, None, None, None, None, '2741589') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 4789 time used for this insertion : 0.3285660743713379 save_final save missing photos in datou_result : time spend for datou_step_exec : 1101.4488694667816 time spend to save output : 0.364516019821167 total time spend for step 2 : 1101.8133854866028 step3:rle_unique_nms_with_priority Fri Apr 11 00:49:39 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array VR 22-3-18 : For now we do not clean correctly the datou structure Begin step rle-unique-nms batch 1 Loaded 1608 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++nb_obj : 44 nb_hashtags : 5 time to prepare the origin masks : 4.638988494873047 time for calcul the mask position with numpy : 0.6466867923736572 nb_pixel_total : 5203655 time to create 1 rle with new method : 1.2734055519104004 time for calcul the mask position with numpy : 0.027805089950561523 nb_pixel_total : 20008 time to create 1 rle with old method : 0.02156233787536621 time for calcul the mask position with numpy : 0.027823925018310547 nb_pixel_total : 14876 time to create 1 rle with old method : 0.015711307525634766 time for calcul the mask position with numpy : 0.028574228286743164 nb_pixel_total : 7074 time to create 1 rle with old method : 0.00786900520324707 time for calcul the mask position with numpy : 0.028117895126342773 nb_pixel_total : 40361 time to create 1 rle with old method : 0.043877363204956055 time for calcul the mask position with numpy : 0.02847599983215332 nb_pixel_total : 9209 time to create 1 rle with old method : 0.010102033615112305 time for calcul the mask position with numpy : 0.028272151947021484 nb_pixel_total : 16667 time to create 1 rle with old method : 0.018014907836914062 time for calcul the mask position with numpy : 0.028103351593017578 nb_pixel_total : 6722 time to create 1 rle with old method : 0.007098197937011719 time for calcul the mask position with numpy : 0.02766704559326172 nb_pixel_total : 20888 time to create 1 rle with old method : 0.02296280860900879 time for calcul the mask position with numpy : 0.027729272842407227 nb_pixel_total : 32686 time to create 1 rle with old method : 0.034584999084472656 time for calcul the mask position with numpy : 0.026697635650634766 nb_pixel_total : 22489 time to create 1 rle with old method : 0.023372650146484375 time for calcul the mask position with numpy : 0.0270082950592041 nb_pixel_total : 49293 time to create 1 rle with old method : 0.0513155460357666 time for calcul the mask position with numpy : 0.027715444564819336 nb_pixel_total : 12210 time to create 1 rle with old method : 0.013231992721557617 time for calcul the mask position with numpy : 0.028131961822509766 nb_pixel_total : 26148 time to create 1 rle with old method : 0.02847003936767578 time for calcul the mask position with numpy : 0.028037071228027344 nb_pixel_total : 29781 time to create 1 rle with old method : 0.032286882400512695 time for calcul the mask position with numpy : 0.03155326843261719 nb_pixel_total : 17800 time to create 1 rle with old method : 0.019304752349853516 time for calcul the mask position with numpy : 0.0278472900390625 nb_pixel_total : 11819 time to create 1 rle with old method : 0.012757301330566406 time for calcul the mask position with numpy : 0.027895689010620117 nb_pixel_total : 24362 time to create 1 rle with old method : 0.026398181915283203 time for calcul the mask position with numpy : 0.027417421340942383 nb_pixel_total : 10117 time to create 1 rle with old method : 0.011413335800170898 time for calcul the mask position with numpy : 0.029040098190307617 nb_pixel_total : 33901 time to create 1 rle with old method : 0.041605472564697266 time for calcul the mask position with numpy : 0.0287933349609375 nb_pixel_total : 55411 time to create 1 rle with old method : 0.059659719467163086 time for calcul the mask position with numpy : 0.028104305267333984 nb_pixel_total : 10804 time to create 1 rle with old method : 0.011784553527832031 time for calcul the mask position with numpy : 0.02804255485534668 nb_pixel_total : 11021 time to create 1 rle with old method : 0.011743545532226562 time for calcul the mask position with numpy : 0.028522968292236328 nb_pixel_total : 19803 time to create 1 rle with old method : 0.021630287170410156 time for calcul the mask position with numpy : 0.028748512268066406 nb_pixel_total : 28628 time to create 1 rle with old method : 0.03145241737365723 time for calcul the mask position with numpy : 0.0315089225769043 nb_pixel_total : 21647 time to create 1 rle with old method : 0.023611068725585938 time for calcul the mask position with numpy : 0.02837514877319336 nb_pixel_total : 8501 time to create 1 rle with old method : 0.0089874267578125 time for calcul the mask position with numpy : 0.02827596664428711 nb_pixel_total : 92903 time to create 1 rle with old method : 0.1136479377746582 time for calcul the mask position with numpy : 0.0327150821685791 nb_pixel_total : 239113 time to create 1 rle with new method : 1.2142393589019775 time for calcul the mask position with numpy : 0.029120206832885742 nb_pixel_total : 352295 time to create 1 rle with new method : 0.4415767192840576 time for calcul the mask position with numpy : 0.027413368225097656 nb_pixel_total : 12143 time to create 1 rle with old method : 0.01279592514038086 time for calcul the mask position with numpy : 0.027919530868530273 nb_pixel_total : 64194 time to create 1 rle with old method : 0.0673818588256836 time for calcul the mask position with numpy : 0.026751041412353516 nb_pixel_total : 18139 time to create 1 rle with old method : 0.018447160720825195 time for calcul the mask position with numpy : 0.026622772216796875 nb_pixel_total : 9119 time to create 1 rle with old method : 0.009316444396972656 time for calcul the mask position with numpy : 0.026594161987304688 nb_pixel_total : 46543 time to create 1 rle with old method : 0.04795980453491211 time for calcul the mask position with numpy : 0.026990890502929688 nb_pixel_total : 18799 time to create 1 rle with old method : 0.019549131393432617 time for calcul the mask position with numpy : 0.027842283248901367 nb_pixel_total : 121770 time to create 1 rle with old method : 0.12754034996032715 time for calcul the mask position with numpy : 0.027866601943969727 nb_pixel_total : 17191 time to create 1 rle with old method : 0.01842021942138672 time for calcul the mask position with numpy : 0.027716398239135742 nb_pixel_total : 121133 time to create 1 rle with old method : 0.1270005702972412 time for calcul the mask position with numpy : 0.026997804641723633 nb_pixel_total : 24310 time to create 1 rle with old method : 0.025421619415283203 time for calcul the mask position with numpy : 0.027098417282104492 nb_pixel_total : 28558 time to create 1 rle with old method : 0.03056478500366211 time for calcul the mask position with numpy : 0.02721881866455078 nb_pixel_total : 10660 time to create 1 rle with old method : 0.011046886444091797 time for calcul the mask position with numpy : 0.02719283103942871 nb_pixel_total : 81009 time to create 1 rle with old method : 0.09453582763671875 time for calcul the mask position with numpy : 0.032762765884399414 nb_pixel_total : 10128 time to create 1 rle with old method : 0.016561269760131836 time for calcul the mask position with numpy : 0.027976274490356445 nb_pixel_total : 16352 time to create 1 rle with old method : 0.0177001953125 create new chi : 6.267424583435059 time to delete rle : 0.02047276496887207 batch 1 Loaded 89 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 25475 TO DO : save crop sub photo not yet done ! save time : 21.928906440734863 nb_obj : 50 nb_hashtags : 4 time to prepare the origin masks : 4.016751289367676 time for calcul the mask position with numpy : 0.4514899253845215 nb_pixel_total : 5811156 time to create 1 rle with new method : 0.5925211906433105 time for calcul the mask position with numpy : 0.029525041580200195 nb_pixel_total : 7911 time to create 1 rle with old method : 0.008896827697753906 time for calcul the mask position with numpy : 0.029727697372436523 nb_pixel_total : 51571 time to create 1 rle with old method : 0.057544708251953125 time for calcul the mask position with numpy : 0.030143022537231445 nb_pixel_total : 87312 time to create 1 rle with old method : 0.09757590293884277 time for calcul the mask position with numpy : 0.029621601104736328 nb_pixel_total : 27854 time to create 1 rle with old method : 0.03164935111999512 time for calcul the mask position with numpy : 0.02915501594543457 nb_pixel_total : 9586 time to create 1 rle with old method : 0.01110219955444336 time for calcul the mask position with numpy : 0.02947402000427246 nb_pixel_total : 13597 time to create 1 rle with old method : 0.015321731567382812 time for calcul the mask position with numpy : 0.029446125030517578 nb_pixel_total : 18963 time to create 1 rle with old method : 0.02109551429748535 time for calcul the mask position with numpy : 0.02920246124267578 nb_pixel_total : 16384 time to create 1 rle with old method : 0.018558025360107422 time for calcul the mask position with numpy : 0.03311014175415039 nb_pixel_total : 19485 time to create 1 rle with old method : 0.05816960334777832 time for calcul the mask position with numpy : 0.16507887840270996 nb_pixel_total : 28506 time to create 1 rle with old method : 0.05891776084899902 time for calcul the mask position with numpy : 0.04095935821533203 nb_pixel_total : 28637 time to create 1 rle with old method : 0.1410388946533203 time for calcul the mask position with numpy : 0.03922295570373535 nb_pixel_total : 24497 time to create 1 rle with old method : 0.04517483711242676 time for calcul the mask position with numpy : 0.04079461097717285 nb_pixel_total : 26433 time to create 1 rle with old method : 0.04945230484008789 time for calcul the mask position with numpy : 0.04055500030517578 nb_pixel_total : 10648 time to create 1 rle with old method : 0.020033597946166992 time for calcul the mask position with numpy : 0.0442662239074707 nb_pixel_total : 10141 time to create 1 rle with old method : 0.02742147445678711 time for calcul the mask position with numpy : 0.040229082107543945 nb_pixel_total : 85479 time to create 1 rle with old method : 0.15797924995422363 time for calcul the mask position with numpy : 0.039369821548461914 nb_pixel_total : 62975 time to create 1 rle with old method : 0.11303448677062988 time for calcul the mask position with numpy : 0.03710746765136719 nb_pixel_total : 13467 time to create 1 rle with old method : 0.02474188804626465 time for calcul the mask position with numpy : 0.03718900680541992 nb_pixel_total : 24151 time to create 1 rle with old method : 0.043512821197509766 time for calcul the mask position with numpy : 0.03761029243469238 nb_pixel_total : 7024 time to create 1 rle with old method : 0.012779474258422852 time for calcul the mask position with numpy : 0.03712725639343262 nb_pixel_total : 21367 time to create 1 rle with old method : 0.038973093032836914 time for calcul the mask position with numpy : 0.03739428520202637 nb_pixel_total : 66743 time to create 1 rle with old method : 0.1174156665802002 time for calcul the mask position with numpy : 0.02964949607849121 nb_pixel_total : 25097 time to create 1 rle with old method : 0.028527498245239258 time for calcul the mask position with numpy : 0.04059791564941406 nb_pixel_total : 20473 time to create 1 rle with old method : 0.0668630599975586 time for calcul the mask position with numpy : 0.03140735626220703 nb_pixel_total : 8391 time to create 1 rle with old method : 0.012683629989624023 time for calcul the mask position with numpy : 0.033501386642456055 nb_pixel_total : 6520 time to create 1 rle with old method : 0.010840654373168945 time for calcul the mask position with numpy : 0.03366351127624512 nb_pixel_total : 36908 time to create 1 rle with old method : 0.06504321098327637 time for calcul the mask position with numpy : 0.036659955978393555 nb_pixel_total : 28239 time to create 1 rle with old method : 0.05146431922912598 time for calcul the mask position with numpy : 0.03733348846435547 nb_pixel_total : 7891 time to create 1 rle with old method : 0.015260934829711914 time for calcul the mask position with numpy : 0.03735017776489258 nb_pixel_total : 18693 time to create 1 rle with old method : 0.03921794891357422 time for calcul the mask position with numpy : 0.03626513481140137 nb_pixel_total : 30312 time to create 1 rle with old method : 0.05368208885192871 time for calcul the mask position with numpy : 0.037194013595581055 nb_pixel_total : 25151 time to create 1 rle with old method : 0.044516801834106445 time for calcul the mask position with numpy : 0.03619813919067383 nb_pixel_total : 8701 time to create 1 rle with old method : 0.00961446762084961 time for calcul the mask position with numpy : 0.028643369674682617 nb_pixel_total : 4953 time to create 1 rle with old method : 0.0055694580078125 time for calcul the mask position with numpy : 0.02937173843383789 nb_pixel_total : 3542 time to create 1 rle with old method : 0.003990650177001953 time for calcul the mask position with numpy : 0.029137134552001953 nb_pixel_total : 24090 time to create 1 rle with old method : 0.02618861198425293 time for calcul the mask position with numpy : 0.029143810272216797 nb_pixel_total : 36016 time to create 1 rle with old method : 0.0399017333984375 time for calcul the mask position with numpy : 0.029285907745361328 nb_pixel_total : 9128 time to create 1 rle with old method : 0.010234594345092773 time for calcul the mask position with numpy : 0.02913045883178711 nb_pixel_total : 20633 time to create 1 rle with old method : 0.022979736328125 time for calcul the mask position with numpy : 0.028977155685424805 nb_pixel_total : 12871 time to create 1 rle with old method : 0.014480829238891602 time for calcul the mask position with numpy : 0.02961444854736328 nb_pixel_total : 47566 time to create 1 rle with old method : 0.053331613540649414 time for calcul the mask position with numpy : 0.030170440673828125 nb_pixel_total : 23880 time to create 1 rle with old method : 0.027211427688598633 time for calcul the mask position with numpy : 0.02872014045715332 nb_pixel_total : 18686 time to create 1 rle with old method : 0.022619247436523438 time for calcul the mask position with numpy : 0.029241561889648438 nb_pixel_total : 45449 time to create 1 rle with old method : 0.05087876319885254 time for calcul the mask position with numpy : 0.029053926467895508 nb_pixel_total : 8749 time to create 1 rle with old method : 0.009641170501708984 time for calcul the mask position with numpy : 0.028869152069091797 nb_pixel_total : 13769 time to create 1 rle with old method : 0.015554428100585938 time for calcul the mask position with numpy : 0.03312039375305176 nb_pixel_total : 40172 time to create 1 rle with old method : 0.044599056243896484 time for calcul the mask position with numpy : 0.028785228729248047 nb_pixel_total : 27779 time to create 1 rle with old method : 0.030061721801757812 time for calcul the mask position with numpy : 0.027927637100219727 nb_pixel_total : 14075 time to create 1 rle with old method : 0.015570878982543945 time for calcul the mask position with numpy : 0.02913665771484375 nb_pixel_total : 8619 time to create 1 rle with old method : 0.009581804275512695 create new chi : 4.846125841140747 time to delete rle : 0.005648374557495117 batch 1 Loaded 101 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 22138 TO DO : save crop sub photo not yet done ! save time : 69.61678266525269 nb_obj : 64 nb_hashtags : 4 time to prepare the origin masks : 3.9414329528808594 time for calcul the mask position with numpy : 0.5505568981170654 nb_pixel_total : 5599241 time to create 1 rle with new method : 0.7851588726043701 time for calcul the mask position with numpy : 0.028961896896362305 nb_pixel_total : 51372 time to create 1 rle with old method : 0.05626368522644043 time for calcul the mask position with numpy : 0.02820110321044922 nb_pixel_total : 8203 time to create 1 rle with old method : 0.009003162384033203 time for calcul the mask position with numpy : 0.028975963592529297 nb_pixel_total : 24309 time to create 1 rle with old method : 0.027857542037963867 time for calcul the mask position with numpy : 0.03052043914794922 nb_pixel_total : 55894 time to create 1 rle with old method : 0.06420111656188965 time for calcul the mask position with numpy : 0.02724909782409668 nb_pixel_total : 8681 time to create 1 rle with old method : 0.009418487548828125 time for calcul the mask position with numpy : 0.027437686920166016 nb_pixel_total : 19279 time to create 1 rle with old method : 0.02040576934814453 time for calcul the mask position with numpy : 0.02802109718322754 nb_pixel_total : 13158 time to create 1 rle with old method : 0.014443635940551758 time for calcul the mask position with numpy : 0.02843165397644043 nb_pixel_total : 18718 time to create 1 rle with old method : 0.020847797393798828 time for calcul the mask position with numpy : 0.028679847717285156 nb_pixel_total : 11043 time to create 1 rle with old method : 0.012128829956054688 time for calcul the mask position with numpy : 0.028661251068115234 nb_pixel_total : 22828 time to create 1 rle with old method : 0.025379180908203125 time for calcul the mask position with numpy : 0.0299375057220459 nb_pixel_total : 3897 time to create 1 rle with old method : 0.004548072814941406 time for calcul the mask position with numpy : 0.030794382095336914 nb_pixel_total : 23743 time to create 1 rle with old method : 0.026541471481323242 time for calcul the mask position with numpy : 0.03116440773010254 nb_pixel_total : 23507 time to create 1 rle with old method : 0.026124238967895508 time for calcul the mask position with numpy : 0.02928638458251953 nb_pixel_total : 19935 time to create 1 rle with old method : 0.022383928298950195 time for calcul the mask position with numpy : 0.029940366744995117 nb_pixel_total : 10980 time to create 1 rle with old method : 0.012344598770141602 time for calcul the mask position with numpy : 0.02911067008972168 nb_pixel_total : 13014 time to create 1 rle with old method : 0.014773368835449219 time for calcul the mask position with numpy : 0.029096364974975586 nb_pixel_total : 11020 time to create 1 rle with old method : 0.012435674667358398 time for calcul the mask position with numpy : 0.02915358543395996 nb_pixel_total : 11228 time to create 1 rle with old method : 0.012580394744873047 time for calcul the mask position with numpy : 0.02935957908630371 nb_pixel_total : 40668 time to create 1 rle with old method : 0.04571890830993652 time for calcul the mask position with numpy : 0.028919696807861328 nb_pixel_total : 16345 time to create 1 rle with old method : 0.01832437515258789 time for calcul the mask position with numpy : 0.02901434898376465 nb_pixel_total : 11185 time to create 1 rle with old method : 0.012548208236694336 time for calcul the mask position with numpy : 0.028456926345825195 nb_pixel_total : 12610 time to create 1 rle with old method : 0.013679742813110352 time for calcul the mask position with numpy : 0.02857494354248047 nb_pixel_total : 10874 time to create 1 rle with old method : 0.011852502822875977 time for calcul the mask position with numpy : 0.02863907814025879 nb_pixel_total : 23118 time to create 1 rle with old method : 0.025495052337646484 time for calcul the mask position with numpy : 0.02917194366455078 nb_pixel_total : 16390 time to create 1 rle with old method : 0.019275426864624023 time for calcul the mask position with numpy : 0.028348207473754883 nb_pixel_total : 46103 time to create 1 rle with old method : 0.051259517669677734 time for calcul the mask position with numpy : 0.031104087829589844 nb_pixel_total : 83239 time to create 1 rle with old method : 0.11144423484802246 time for calcul the mask position with numpy : 0.028486967086791992 nb_pixel_total : 29585 time to create 1 rle with old method : 0.0322420597076416 time for calcul the mask position with numpy : 0.02914118766784668 nb_pixel_total : 45314 time to create 1 rle with old method : 0.050159454345703125 time for calcul the mask position with numpy : 0.02798914909362793 nb_pixel_total : 21531 time to create 1 rle with old method : 0.022994279861450195 time for calcul the mask position with numpy : 0.027870893478393555 nb_pixel_total : 24512 time to create 1 rle with old method : 0.02588510513305664 time for calcul the mask position with numpy : 0.027278423309326172 nb_pixel_total : 35390 time to create 1 rle with old method : 0.03770327568054199 time for calcul the mask position with numpy : 0.028228759765625 nb_pixel_total : 21790 time to create 1 rle with old method : 0.023546457290649414 time for calcul the mask position with numpy : 0.028159618377685547 nb_pixel_total : 9529 time to create 1 rle with old method : 0.010725259780883789 time for calcul the mask position with numpy : 0.02807927131652832 nb_pixel_total : 14436 time to create 1 rle with old method : 0.01606011390686035 time for calcul the mask position with numpy : 0.029387712478637695 nb_pixel_total : 31157 time to create 1 rle with old method : 0.037912845611572266 time for calcul the mask position with numpy : 0.029275178909301758 nb_pixel_total : 37059 time to create 1 rle with old method : 0.0424046516418457 time for calcul the mask position with numpy : 0.029368877410888672 nb_pixel_total : 29428 time to create 1 rle with old method : 0.03262209892272949 time for calcul the mask position with numpy : 0.028705596923828125 nb_pixel_total : 9110 time to create 1 rle with old method : 0.010144948959350586 time for calcul the mask position with numpy : 0.02882099151611328 nb_pixel_total : 4995 time to create 1 rle with old method : 0.00556182861328125 time for calcul the mask position with numpy : 0.028741121292114258 nb_pixel_total : 4859 time to create 1 rle with old method : 0.005446910858154297 time for calcul the mask position with numpy : 0.028641939163208008 nb_pixel_total : 19040 time to create 1 rle with old method : 0.02126765251159668 time for calcul the mask position with numpy : 0.028298139572143555 nb_pixel_total : 21656 time to create 1 rle with old method : 0.02386784553527832 time for calcul the mask position with numpy : 0.028615713119506836 nb_pixel_total : 36305 time to create 1 rle with old method : 0.039237260818481445 time for calcul the mask position with numpy : 0.028617382049560547 nb_pixel_total : 23876 time to create 1 rle with old method : 0.026458024978637695 time for calcul the mask position with numpy : 0.028876066207885742 nb_pixel_total : 10586 time to create 1 rle with old method : 0.016968727111816406 time for calcul the mask position with numpy : 0.03629922866821289 nb_pixel_total : 47179 time to create 1 rle with old method : 0.053348541259765625 time for calcul the mask position with numpy : 0.02978205680847168 nb_pixel_total : 26390 time to create 1 rle with old method : 0.031218290328979492 time for calcul the mask position with numpy : 0.029421329498291016 nb_pixel_total : 20310 time to create 1 rle with old method : 0.02286553382873535 time for calcul the mask position with numpy : 0.028672218322753906 nb_pixel_total : 14795 time to create 1 rle with old method : 0.024497032165527344 time for calcul the mask position with numpy : 0.03307151794433594 nb_pixel_total : 24837 time to create 1 rle with old method : 0.03692984580993652 time for calcul the mask position with numpy : 0.029332399368286133 nb_pixel_total : 19992 time to create 1 rle with old method : 0.02405381202697754 time for calcul the mask position with numpy : 0.03533792495727539 nb_pixel_total : 10361 time to create 1 rle with old method : 0.015032291412353516 time for calcul the mask position with numpy : 0.03332662582397461 nb_pixel_total : 4724 time to create 1 rle with old method : 0.00561070442199707 time for calcul the mask position with numpy : 0.031646013259887695 nb_pixel_total : 53292 time to create 1 rle with old method : 0.07150077819824219 time for calcul the mask position with numpy : 0.02786564826965332 nb_pixel_total : 7253 time to create 1 rle with old method : 0.007932901382446289 time for calcul the mask position with numpy : 0.028256654739379883 nb_pixel_total : 19012 time to create 1 rle with old method : 0.021021366119384766 time for calcul the mask position with numpy : 0.0285799503326416 nb_pixel_total : 64948 time to create 1 rle with old method : 0.07011985778808594 time for calcul the mask position with numpy : 0.028424501419067383 nb_pixel_total : 38382 time to create 1 rle with old method : 0.041046857833862305 time for calcul the mask position with numpy : 0.029096603393554688 nb_pixel_total : 28477 time to create 1 rle with old method : 0.03043985366821289 time for calcul the mask position with numpy : 0.027532339096069336 nb_pixel_total : 14320 time to create 1 rle with old method : 0.015085220336914062 time for calcul the mask position with numpy : 0.02671337127685547 nb_pixel_total : 2327 time to create 1 rle with old method : 0.002611398696899414 time for calcul the mask position with numpy : 0.02662515640258789 nb_pixel_total : 5957 time to create 1 rle with old method : 0.006158590316772461 time for calcul the mask position with numpy : 0.02965998649597168 nb_pixel_total : 6944 time to create 1 rle with old method : 0.013216733932495117 create new chi : 4.9153406620025635 time to delete rle : 0.0052318572998046875 batch 1 Loaded 129 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 28569 TO DO : save crop sub photo not yet done ! save time : 101.0026593208313 nb_obj : 43 nb_hashtags : 3 time to prepare the origin masks : 4.504544496536255 time for calcul the mask position with numpy : 0.9875202178955078 nb_pixel_total : 4807782 time to create 1 rle with new method : 1.4824919700622559 time for calcul the mask position with numpy : 0.02824544906616211 nb_pixel_total : 78541 time to create 1 rle with old method : 0.08444499969482422 time for calcul the mask position with numpy : 0.0274507999420166 nb_pixel_total : 13663 time to create 1 rle with old method : 0.013840675354003906 time for calcul the mask position with numpy : 0.027156352996826172 nb_pixel_total : 32848 time to create 1 rle with old method : 0.047636985778808594 time for calcul the mask position with numpy : 0.032111406326293945 nb_pixel_total : 11602 time to create 1 rle with old method : 0.01866316795349121 time for calcul the mask position with numpy : 0.030228376388549805 nb_pixel_total : 38390 time to create 1 rle with old method : 0.0402679443359375 time for calcul the mask position with numpy : 0.03163647651672363 nb_pixel_total : 5114 time to create 1 rle with old method : 0.005579710006713867 time for calcul the mask position with numpy : 0.027279138565063477 nb_pixel_total : 7984 time to create 1 rle with old method : 0.008359193801879883 time for calcul the mask position with numpy : 0.02727794647216797 nb_pixel_total : 36458 time to create 1 rle with old method : 0.03857755661010742 time for calcul the mask position with numpy : 0.027862548828125 nb_pixel_total : 14060 time to create 1 rle with old method : 0.015292644500732422 time for calcul the mask position with numpy : 0.02877640724182129 nb_pixel_total : 22816 time to create 1 rle with old method : 0.028662919998168945 time for calcul the mask position with numpy : 0.029877662658691406 nb_pixel_total : 41602 time to create 1 rle with old method : 0.04472470283508301 time for calcul the mask position with numpy : 0.028886795043945312 nb_pixel_total : 28652 time to create 1 rle with old method : 0.03132271766662598 time for calcul the mask position with numpy : 0.02878856658935547 nb_pixel_total : 20863 time to create 1 rle with old method : 0.023094892501831055 time for calcul the mask position with numpy : 0.029197216033935547 nb_pixel_total : 54846 time to create 1 rle with old method : 0.061220407485961914 time for calcul the mask position with numpy : 0.031093835830688477 nb_pixel_total : 220396 time to create 1 rle with new method : 0.638258695602417 time for calcul the mask position with numpy : 0.029204845428466797 nb_pixel_total : 15438 time to create 1 rle with old method : 0.017256736755371094 time for calcul the mask position with numpy : 0.029043912887573242 nb_pixel_total : 36966 time to create 1 rle with old method : 0.040872812271118164 time for calcul the mask position with numpy : 0.02850961685180664 nb_pixel_total : 18101 time to create 1 rle with old method : 0.019648075103759766 time for calcul the mask position with numpy : 0.028365373611450195 nb_pixel_total : 60105 time to create 1 rle with old method : 0.08109879493713379 time for calcul the mask position with numpy : 0.03286457061767578 nb_pixel_total : 11158 time to create 1 rle with old method : 0.013616561889648438 time for calcul the mask position with numpy : 0.029151439666748047 nb_pixel_total : 128005 time to create 1 rle with old method : 0.13652968406677246 time for calcul the mask position with numpy : 0.02808356285095215 nb_pixel_total : 26699 time to create 1 rle with old method : 0.028697490692138672 time for calcul the mask position with numpy : 0.027901887893676758 nb_pixel_total : 31925 time to create 1 rle with old method : 0.03480696678161621 time for calcul the mask position with numpy : 0.02880120277404785 nb_pixel_total : 8358 time to create 1 rle with old method : 0.009495735168457031 time for calcul the mask position with numpy : 0.028614282608032227 nb_pixel_total : 87041 time to create 1 rle with old method : 0.09582853317260742 time for calcul the mask position with numpy : 0.028759002685546875 nb_pixel_total : 33507 time to create 1 rle with old method : 0.03633737564086914 time for calcul the mask position with numpy : 0.02917313575744629 nb_pixel_total : 19168 time to create 1 rle with old method : 0.020966053009033203 time for calcul the mask position with numpy : 0.02762317657470703 nb_pixel_total : 10987 time to create 1 rle with old method : 0.012269020080566406 time for calcul the mask position with numpy : 0.03215599060058594 nb_pixel_total : 697395 time to create 1 rle with new method : 2.7459239959716797 time for calcul the mask position with numpy : 0.02922964096069336 nb_pixel_total : 100196 time to create 1 rle with old method : 0.11073827743530273 time for calcul the mask position with numpy : 0.02869391441345215 nb_pixel_total : 35408 time to create 1 rle with old method : 0.039020538330078125 time for calcul the mask position with numpy : 0.02891230583190918 nb_pixel_total : 19491 time to create 1 rle with old method : 0.021704435348510742 time for calcul the mask position with numpy : 0.029141902923583984 nb_pixel_total : 11791 time to create 1 rle with old method : 0.01506352424621582 time for calcul the mask position with numpy : 0.029201984405517578 nb_pixel_total : 52513 time to create 1 rle with old method : 0.05789518356323242 time for calcul the mask position with numpy : 0.028388261795043945 nb_pixel_total : 56144 time to create 1 rle with old method : 0.061370134353637695 time for calcul the mask position with numpy : 0.02851557731628418 nb_pixel_total : 16087 time to create 1 rle with old method : 0.01796126365661621 time for calcul the mask position with numpy : 0.029001235961914062 nb_pixel_total : 59190 time to create 1 rle with old method : 0.08730769157409668 time for calcul the mask position with numpy : 0.03180265426635742 nb_pixel_total : 29957 time to create 1 rle with old method : 0.033330678939819336 time for calcul the mask position with numpy : 0.028499126434326172 nb_pixel_total : 17452 time to create 1 rle with old method : 0.019263267517089844 time for calcul the mask position with numpy : 0.02878117561340332 nb_pixel_total : 9952 time to create 1 rle with old method : 0.011191844940185547 time for calcul the mask position with numpy : 0.03145027160644531 nb_pixel_total : 5728 time to create 1 rle with old method : 0.006365776062011719 time for calcul the mask position with numpy : 0.02882981300354004 nb_pixel_total : 10249 time to create 1 rle with old method : 0.011152267456054688 time for calcul the mask position with numpy : 0.02830028533935547 nb_pixel_total : 5612 time to create 1 rle with old method : 0.00599217414855957 create new chi : 8.699170112609863 time to delete rle : 0.003362417221069336 batch 1 Loaded 87 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 24140 TO DO : save crop sub photo not yet done ! save time : 40.59385275840759 nb_obj : 15 nb_hashtags : 4 time to prepare the origin masks : 10.907300233840942 time for calcul the mask position with numpy : 0.48448777198791504 nb_pixel_total : 6513971 time to create 1 rle with new method : 1.4075028896331787 time for calcul the mask position with numpy : 0.02047586441040039 nb_pixel_total : 53334 time to create 1 rle with old method : 0.05458211898803711 time for calcul the mask position with numpy : 0.02034592628479004 nb_pixel_total : 47583 time to create 1 rle with old method : 0.04779410362243652 time for calcul the mask position with numpy : 0.02134561538696289 nb_pixel_total : 22508 time to create 1 rle with old method : 0.0230715274810791 time for calcul the mask position with numpy : 0.01952505111694336 nb_pixel_total : 29059 time to create 1 rle with old method : 0.02946186065673828 time for calcul the mask position with numpy : 0.01925492286682129 nb_pixel_total : 7433 time to create 1 rle with old method : 0.007654666900634766 time for calcul the mask position with numpy : 0.019216537475585938 nb_pixel_total : 8285 time to create 1 rle with old method : 0.008504867553710938 time for calcul the mask position with numpy : 0.018887042999267578 nb_pixel_total : 19462 time to create 1 rle with old method : 0.020047903060913086 time for calcul the mask position with numpy : 0.02139568328857422 nb_pixel_total : 135346 time to create 1 rle with old method : 0.13846921920776367 time for calcul the mask position with numpy : 0.020077228546142578 nb_pixel_total : 18362 time to create 1 rle with old method : 0.01913142204284668 time for calcul the mask position with numpy : 0.020243167877197266 nb_pixel_total : 27742 time to create 1 rle with old method : 0.02926325798034668 time for calcul the mask position with numpy : 0.020125150680541992 nb_pixel_total : 11627 time to create 1 rle with old method : 0.01238107681274414 time for calcul the mask position with numpy : 0.02086949348449707 nb_pixel_total : 13114 time to create 1 rle with old method : 0.014007568359375 time for calcul the mask position with numpy : 0.02031707763671875 nb_pixel_total : 103933 time to create 1 rle with old method : 0.10970711708068848 time for calcul the mask position with numpy : 0.021870851516723633 nb_pixel_total : 19652 time to create 1 rle with old method : 0.02078104019165039 time for calcul the mask position with numpy : 0.020046234130859375 nb_pixel_total : 18829 time to create 1 rle with old method : 0.019847631454467773 create new chi : 2.781569242477417 time to delete rle : 0.0011107921600341797 batch 1 Loaded 31 chid ids of type : 3594 ++++++++++++++++++Number RLEs to save : 7814 TO DO : save crop sub photo not yet done ! save time : 17.140965223312378 nb_obj : 10 nb_hashtags : 3 time to prepare the origin masks : 8.417706966400146 time for calcul the mask position with numpy : 0.9739933013916016 nb_pixel_total : 6465458 time to create 1 rle with new method : 1.9452693462371826 time for calcul the mask position with numpy : 0.02530980110168457 nb_pixel_total : 11152 time to create 1 rle with old method : 0.012354850769042969 time for calcul the mask position with numpy : 0.024536609649658203 nb_pixel_total : 317395 time to create 1 rle with new method : 0.35332655906677246 time for calcul the mask position with numpy : 0.02282571792602539 nb_pixel_total : 8680 time to create 1 rle with old method : 0.012956619262695312 time for calcul the mask position with numpy : 0.022914886474609375 nb_pixel_total : 12187 time to create 1 rle with old method : 0.013608694076538086 time for calcul the mask position with numpy : 0.022986888885498047 nb_pixel_total : 29279 time to create 1 rle with old method : 0.0477292537689209 time for calcul the mask position with numpy : 0.024246692657470703 nb_pixel_total : 47365 time to create 1 rle with old method : 0.06134772300720215 time for calcul the mask position with numpy : 0.027094125747680664 nb_pixel_total : 119624 time to create 1 rle with old method : 0.13207387924194336 time for calcul the mask position with numpy : 0.02584671974182129 nb_pixel_total : 7947 time to create 1 rle with old method : 0.009054183959960938 time for calcul the mask position with numpy : 0.024114370346069336 nb_pixel_total : 9433 time to create 1 rle with old method : 0.011003255844116211 time for calcul the mask position with numpy : 0.02376866340637207 nb_pixel_total : 21720 time to create 1 rle with old method : 0.02644968032836914 create new chi : 3.9048943519592285 time to delete rle : 0.0009393692016601562 batch 1 Loaded 21 chid ids of type : 3594 +++++++++++++Number RLEs to save : 6470 TO DO : save crop sub photo not yet done ! save time : 16.12360906600952 nb_obj : 15 nb_hashtags : 3 time to prepare the origin masks : 10.810977220535278 time for calcul the mask position with numpy : 1.660416841506958 nb_pixel_total : 5104275 time to create 1 rle with new method : 0.9348483085632324 time for calcul the mask position with numpy : 0.02148127555847168 nb_pixel_total : 179168 time to create 1 rle with new method : 1.1991150379180908 time for calcul the mask position with numpy : 0.022647619247436523 nb_pixel_total : 66446 time to create 1 rle with old method : 0.07953667640686035 time for calcul the mask position with numpy : 0.022421836853027344 nb_pixel_total : 12158 time to create 1 rle with old method : 0.013624429702758789 time for calcul the mask position with numpy : 0.023794889450073242 nb_pixel_total : 188291 time to create 1 rle with new method : 0.42363905906677246 time for calcul the mask position with numpy : 0.022465229034423828 nb_pixel_total : 54104 time to create 1 rle with old method : 0.05938720703125 time for calcul the mask position with numpy : 0.021742820739746094 nb_pixel_total : 38527 time to create 1 rle with old method : 0.04208731651306152 time for calcul the mask position with numpy : 0.022335290908813477 nb_pixel_total : 7264 time to create 1 rle with old method : 0.008072376251220703 time for calcul the mask position with numpy : 0.023669004440307617 nb_pixel_total : 25807 time to create 1 rle with old method : 0.028046846389770508 time for calcul the mask position with numpy : 0.021241426467895508 nb_pixel_total : 18833 time to create 1 rle with old method : 0.020435810089111328 time for calcul the mask position with numpy : 0.025080204010009766 nb_pixel_total : 763152 time to create 1 rle with new method : 1.7917253971099854 time for calcul the mask position with numpy : 0.02701854705810547 nb_pixel_total : 347744 time to create 1 rle with new method : 0.8161885738372803 time for calcul the mask position with numpy : 0.022075891494750977 nb_pixel_total : 20557 time to create 1 rle with old method : 0.022977113723754883 time for calcul the mask position with numpy : 0.022664546966552734 nb_pixel_total : 44146 time to create 1 rle with old method : 0.04903841018676758 time for calcul the mask position with numpy : 0.022539854049682617 nb_pixel_total : 151500 time to create 1 rle with new method : 0.5389888286590576 time for calcul the mask position with numpy : 0.02143263816833496 nb_pixel_total : 28268 time to create 1 rle with old method : 0.03154945373535156 create new chi : 8.220191240310669 time to delete rle : 0.002592325210571289 batch 1 Loaded 31 chid ids of type : 3594 ++++++++++++++++++++Number RLEs to save : 15907 TO DO : save crop sub photo not yet done ! save time : 29.189528465270996 nb_obj : 41 nb_hashtags : 3 time to prepare the origin masks : 8.010398864746094 time for calcul the mask position with numpy : 1.126103401184082 nb_pixel_total : 6151486 time to create 1 rle with new method : 0.6693055629730225 time for calcul the mask position with numpy : 0.029404640197753906 nb_pixel_total : 10656 time to create 1 rle with old method : 0.011800527572631836 time for calcul the mask position with numpy : 0.028666257858276367 nb_pixel_total : 1216 time to create 1 rle with old method : 0.0016798973083496094 time for calcul the mask position with numpy : 0.02946019172668457 nb_pixel_total : 34278 time to create 1 rle with old method : 0.03732800483703613 time for calcul the mask position with numpy : 0.028931140899658203 nb_pixel_total : 14555 time to create 1 rle with old method : 0.01636028289794922 time for calcul the mask position with numpy : 0.03171825408935547 nb_pixel_total : 24958 time to create 1 rle with old method : 0.03555011749267578 time for calcul the mask position with numpy : 0.029361963272094727 nb_pixel_total : 35271 time to create 1 rle with old method : 0.041527509689331055 time for calcul the mask position with numpy : 0.02928304672241211 nb_pixel_total : 11716 time to create 1 rle with old method : 0.013238191604614258 time for calcul the mask position with numpy : 0.030503511428833008 nb_pixel_total : 11236 time to create 1 rle with old method : 0.012665987014770508 time for calcul the mask position with numpy : 0.02971625328063965 nb_pixel_total : 15437 time to create 1 rle with old method : 0.017169952392578125 time for calcul the mask position with numpy : 0.028309345245361328 nb_pixel_total : 20684 time to create 1 rle with old method : 0.022945642471313477 time for calcul the mask position with numpy : 0.02918076515197754 nb_pixel_total : 6844 time to create 1 rle with old method : 0.007622480392456055 time for calcul the mask position with numpy : 0.02944636344909668 nb_pixel_total : 16118 time to create 1 rle with old method : 0.01884174346923828 time for calcul the mask position with numpy : 0.029604673385620117 nb_pixel_total : 22921 time to create 1 rle with old method : 0.025684595108032227 time for calcul the mask position with numpy : 0.030259370803833008 nb_pixel_total : 36105 time to create 1 rle with old method : 0.039929866790771484 time for calcul the mask position with numpy : 0.02972102165222168 nb_pixel_total : 26624 time to create 1 rle with old method : 0.029912471771240234 time for calcul the mask position with numpy : 0.029366493225097656 nb_pixel_total : 29642 time to create 1 rle with old method : 0.03303837776184082 time for calcul the mask position with numpy : 0.030865907669067383 nb_pixel_total : 142823 time to create 1 rle with old method : 0.16691040992736816 time for calcul the mask position with numpy : 0.029732227325439453 nb_pixel_total : 21234 time to create 1 rle with old method : 0.023758411407470703 time for calcul the mask position with numpy : 0.029885530471801758 nb_pixel_total : 25052 time to create 1 rle with old method : 0.028668642044067383 time for calcul the mask position with numpy : 0.029120206832885742 nb_pixel_total : 2747 time to create 1 rle with old method : 0.003196239471435547 time for calcul the mask position with numpy : 0.029093027114868164 nb_pixel_total : 26498 time to create 1 rle with old method : 0.030138254165649414 time for calcul the mask position with numpy : 0.03023982048034668 nb_pixel_total : 36696 time to create 1 rle with old method : 0.05905628204345703 time for calcul the mask position with numpy : 0.03139925003051758 nb_pixel_total : 6713 time to create 1 rle with old method : 0.007576942443847656 time for calcul the mask position with numpy : 0.02928018569946289 nb_pixel_total : 7482 time to create 1 rle with old method : 0.00826406478881836 time for calcul the mask position with numpy : 0.030145645141601562 nb_pixel_total : 6643 time to create 1 rle with old method : 0.007498741149902344 time for calcul the mask position with numpy : 0.028875112533569336 nb_pixel_total : 22378 time to create 1 rle with old method : 0.024953842163085938 time for calcul the mask position with numpy : 0.029332399368286133 nb_pixel_total : 11254 time to create 1 rle with old method : 0.012766122817993164 time for calcul the mask position with numpy : 0.030211448669433594 nb_pixel_total : 39103 time to create 1 rle with old method : 0.04545879364013672 time for calcul the mask position with numpy : 0.02933526039123535 nb_pixel_total : 8166 time to create 1 rle with old method : 0.009184122085571289 time for calcul the mask position with numpy : 0.02944469451904297 nb_pixel_total : 50557 time to create 1 rle with old method : 0.05929207801818848 time for calcul the mask position with numpy : 0.029468059539794922 nb_pixel_total : 11057 time to create 1 rle with old method : 0.01238870620727539 time for calcul the mask position with numpy : 0.02973341941833496 nb_pixel_total : 75994 time to create 1 rle with old method : 0.08531069755554199 time for calcul the mask position with numpy : 0.029075145721435547 nb_pixel_total : 14490 time to create 1 rle with old method : 0.016078710556030273 time for calcul the mask position with numpy : 0.0289919376373291 nb_pixel_total : 8095 time to create 1 rle with old method : 0.009079694747924805 time for calcul the mask position with numpy : 0.02907538414001465 nb_pixel_total : 16935 time to create 1 rle with old method : 0.01897120475769043 time for calcul the mask position with numpy : 0.02924036979675293 nb_pixel_total : 9469 time to create 1 rle with old method : 0.010663509368896484 time for calcul the mask position with numpy : 0.028462648391723633 nb_pixel_total : 8697 time to create 1 rle with old method : 0.00953364372253418 time for calcul the mask position with numpy : 0.02865886688232422 nb_pixel_total : 11597 time to create 1 rle with old method : 0.012580156326293945 time for calcul the mask position with numpy : 0.027525901794433594 nb_pixel_total : 4319 time to create 1 rle with old method : 0.004630327224731445 time for calcul the mask position with numpy : 0.027228116989135742 nb_pixel_total : 12494 time to create 1 rle with old method : 0.013982057571411133 create new chi : 4.0856523513793945 time to delete rle : 0.0035550594329833984 batch 1 Loaded 83 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.6800820827484131 nb_obj : 35 nb_hashtags : 4 time to prepare the origin masks : 7.904194355010986 time for calcul the mask position with numpy : 0.40077733993530273 nb_pixel_total : 5539325 time to create 1 rle with new method : 0.4414200782775879 time for calcul the mask position with numpy : 0.028851985931396484 nb_pixel_total : 9838 time to create 1 rle with old method : 0.01101064682006836 time for calcul the mask position with numpy : 0.031037330627441406 nb_pixel_total : 30241 time to create 1 rle with old method : 0.036568403244018555 time for calcul the mask position with numpy : 0.031143665313720703 nb_pixel_total : 33589 time to create 1 rle with old method : 0.03699970245361328 time for calcul the mask position with numpy : 0.02899169921875 nb_pixel_total : 42976 time to create 1 rle with old method : 0.04783749580383301 time for calcul the mask position with numpy : 0.02894449234008789 nb_pixel_total : 16123 time to create 1 rle with old method : 0.017826318740844727 time for calcul the mask position with numpy : 0.029263019561767578 nb_pixel_total : 192550 time to create 1 rle with new method : 0.4323399066925049 time for calcul the mask position with numpy : 0.02890753746032715 nb_pixel_total : 12363 time to create 1 rle with old method : 0.013833761215209961 time for calcul the mask position with numpy : 0.02985978126525879 nb_pixel_total : 188925 time to create 1 rle with new method : 0.31137800216674805 time for calcul the mask position with numpy : 0.02927374839782715 nb_pixel_total : 34346 time to create 1 rle with old method : 0.038012027740478516 time for calcul the mask position with numpy : 0.029218435287475586 nb_pixel_total : 23133 time to create 1 rle with old method : 0.02575993537902832 time for calcul the mask position with numpy : 0.029097318649291992 nb_pixel_total : 36148 time to create 1 rle with old method : 0.04049491882324219 time for calcul the mask position with numpy : 0.029581546783447266 nb_pixel_total : 143223 time to create 1 rle with old method : 0.15970134735107422 time for calcul the mask position with numpy : 0.031362056732177734 nb_pixel_total : 9294 time to create 1 rle with old method : 0.010604143142700195 time for calcul the mask position with numpy : 0.02869582176208496 nb_pixel_total : 23300 time to create 1 rle with old method : 0.028766393661499023 time for calcul the mask position with numpy : 0.028148174285888672 nb_pixel_total : 13667 time to create 1 rle with old method : 0.015101194381713867 time for calcul the mask position with numpy : 0.028186321258544922 nb_pixel_total : 13763 time to create 1 rle with old method : 0.02228546142578125 time for calcul the mask position with numpy : 0.03305530548095703 nb_pixel_total : 52624 time to create 1 rle with old method : 0.06705141067504883 time for calcul the mask position with numpy : 0.029696226119995117 nb_pixel_total : 30095 time to create 1 rle with old method : 0.033248186111450195 time for calcul the mask position with numpy : 0.02867603302001953 nb_pixel_total : 23206 time to create 1 rle with old method : 0.025128841400146484 time for calcul the mask position with numpy : 0.029376506805419922 nb_pixel_total : 165373 time to create 1 rle with new method : 0.32709407806396484 time for calcul the mask position with numpy : 0.0370023250579834 nb_pixel_total : 22633 time to create 1 rle with old method : 0.027574539184570312 time for calcul the mask position with numpy : 0.03333640098571777 nb_pixel_total : 9898 time to create 1 rle with old method : 0.011298179626464844 time for calcul the mask position with numpy : 0.03146982192993164 nb_pixel_total : 32282 time to create 1 rle with old method : 0.03612494468688965 time for calcul the mask position with numpy : 0.03366494178771973 nb_pixel_total : 12970 time to create 1 rle with old method : 0.01575446128845215 time for calcul the mask position with numpy : 0.03252720832824707 nb_pixel_total : 74787 time to create 1 rle with old method : 0.08793783187866211 time for calcul the mask position with numpy : 0.03007984161376953 nb_pixel_total : 62169 time to create 1 rle with old method : 0.07198977470397949 time for calcul the mask position with numpy : 0.028511762619018555 nb_pixel_total : 13013 time to create 1 rle with old method : 0.014453887939453125 time for calcul the mask position with numpy : 0.02900409698486328 nb_pixel_total : 41429 time to create 1 rle with old method : 0.04629111289978027 time for calcul the mask position with numpy : 0.029105663299560547 nb_pixel_total : 31534 time to create 1 rle with old method : 0.0352170467376709 time for calcul the mask position with numpy : 0.03086709976196289 nb_pixel_total : 30201 time to create 1 rle with old method : 0.03395199775695801 time for calcul the mask position with numpy : 0.029266357421875 nb_pixel_total : 13708 time to create 1 rle with old method : 0.015419244766235352 time for calcul the mask position with numpy : 0.029278039932250977 nb_pixel_total : 40218 time to create 1 rle with old method : 0.044805288314819336 time for calcul the mask position with numpy : 0.030057668685913086 nb_pixel_total : 21794 time to create 1 rle with old method : 0.02834010124206543 time for calcul the mask position with numpy : 0.030321598052978516 nb_pixel_total : 9502 time to create 1 rle with old method : 0.012679815292358398 create new chi : 4.187419414520264 time to delete rle : 0.003535747528076172 batch 1 Loaded 69 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 2.240912914276123 nb_obj : 33 nb_hashtags : 6 time to prepare the origin masks : 7.389378786087036 time for calcul the mask position with numpy : 0.2936675548553467 nb_pixel_total : 5969890 time to create 1 rle with new method : 0.9789409637451172 time for calcul the mask position with numpy : 0.02898263931274414 nb_pixel_total : 56406 time to create 1 rle with old method : 0.06067633628845215 time for calcul the mask position with numpy : 0.028814077377319336 nb_pixel_total : 177970 time to create 1 rle with new method : 0.5557091236114502 time for calcul the mask position with numpy : 0.027907609939575195 nb_pixel_total : 8067 time to create 1 rle with old method : 0.009147882461547852 time for calcul the mask position with numpy : 0.028839826583862305 nb_pixel_total : 54790 time to create 1 rle with old method : 0.05995488166809082 time for calcul the mask position with numpy : 0.02850794792175293 nb_pixel_total : 61781 time to create 1 rle with old method : 0.06798315048217773 time for calcul the mask position with numpy : 0.028447866439819336 nb_pixel_total : 20407 time to create 1 rle with old method : 0.022684097290039062 time for calcul the mask position with numpy : 0.02859354019165039 nb_pixel_total : 19880 time to create 1 rle with old method : 0.022144079208374023 time for calcul the mask position with numpy : 0.029202699661254883 nb_pixel_total : 88916 time to create 1 rle with old method : 0.09894084930419922 time for calcul the mask position with numpy : 0.02845454216003418 nb_pixel_total : 23257 time to create 1 rle with old method : 0.025449275970458984 time for calcul the mask position with numpy : 0.027938127517700195 nb_pixel_total : 36905 time to create 1 rle with old method : 0.04063582420349121 time for calcul the mask position with numpy : 0.028113842010498047 nb_pixel_total : 78774 time to create 1 rle with old method : 0.08436155319213867 time for calcul the mask position with numpy : 0.02767157554626465 nb_pixel_total : 18514 time to create 1 rle with old method : 0.019924402236938477 time for calcul the mask position with numpy : 0.028604745864868164 nb_pixel_total : 4904 time to create 1 rle with old method : 0.005463361740112305 time for calcul the mask position with numpy : 0.02872443199157715 nb_pixel_total : 10490 time to create 1 rle with old method : 0.01181173324584961 time for calcul the mask position with numpy : 0.02948284149169922 nb_pixel_total : 27681 time to create 1 rle with old method : 0.04477190971374512 time for calcul the mask position with numpy : 0.032955169677734375 nb_pixel_total : 33197 time to create 1 rle with old method : 0.03688931465148926 time for calcul the mask position with numpy : 0.028973817825317383 nb_pixel_total : 14172 time to create 1 rle with old method : 0.015652179718017578 time for calcul the mask position with numpy : 0.028438091278076172 nb_pixel_total : 23413 time to create 1 rle with old method : 0.025922536849975586 time for calcul the mask position with numpy : 0.028850078582763672 nb_pixel_total : 15026 time to create 1 rle with old method : 0.01678156852722168 time for calcul the mask position with numpy : 0.03248000144958496 nb_pixel_total : 57193 time to create 1 rle with old method : 0.06354403495788574 time for calcul the mask position with numpy : 0.029263734817504883 nb_pixel_total : 16158 time to create 1 rle with old method : 0.018082380294799805 time for calcul the mask position with numpy : 0.029096364974975586 nb_pixel_total : 20411 time to create 1 rle with old method : 0.02271723747253418 time for calcul the mask position with numpy : 0.028842926025390625 nb_pixel_total : 6092 time to create 1 rle with old method : 0.007085323333740234 time for calcul the mask position with numpy : 0.02887248992919922 nb_pixel_total : 15525 time to create 1 rle with old method : 0.017419099807739258 time for calcul the mask position with numpy : 0.02879619598388672 nb_pixel_total : 7687 time to create 1 rle with old method : 0.008656740188598633 time for calcul the mask position with numpy : 0.02817225456237793 nb_pixel_total : 69417 time to create 1 rle with old method : 0.07679104804992676 time for calcul the mask position with numpy : 0.028865814208984375 nb_pixel_total : 29518 time to create 1 rle with old method : 0.03221583366394043 time for calcul the mask position with numpy : 0.02805161476135254 nb_pixel_total : 19718 time to create 1 rle with old method : 0.02124810218811035 time for calcul the mask position with numpy : 0.027942657470703125 nb_pixel_total : 14269 time to create 1 rle with old method : 0.015871047973632812 time for calcul the mask position with numpy : 0.02848672866821289 nb_pixel_total : 6965 time to create 1 rle with old method : 0.008311986923217773 time for calcul the mask position with numpy : 0.0290830135345459 nb_pixel_total : 33805 time to create 1 rle with old method : 0.05728483200073242 time for calcul the mask position with numpy : 0.032407283782958984 nb_pixel_total : 9042 time to create 1 rle with old method : 0.010211944580078125 create new chi : 3.8766705989837646 time to delete rle : 0.0027861595153808594 batch 1 Loaded 65 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 1.383239984512329 nb_obj : 32 nb_hashtags : 4 time to prepare the origin masks : 7.423032760620117 time for calcul the mask position with numpy : 0.7681276798248291 nb_pixel_total : 6306742 time to create 1 rle with new method : 1.1259269714355469 time for calcul the mask position with numpy : 0.02804708480834961 nb_pixel_total : 18271 time to create 1 rle with old method : 0.019745826721191406 time for calcul the mask position with numpy : 0.0282135009765625 nb_pixel_total : 83565 time to create 1 rle with old method : 0.09115934371948242 time for calcul the mask position with numpy : 0.027765512466430664 nb_pixel_total : 9940 time to create 1 rle with old method : 0.01043391227722168 time for calcul the mask position with numpy : 0.027411699295043945 nb_pixel_total : 8520 time to create 1 rle with old method : 0.008848190307617188 time for calcul the mask position with numpy : 0.027524232864379883 nb_pixel_total : 16060 time to create 1 rle with old method : 0.01794600486755371 time for calcul the mask position with numpy : 0.02961874008178711 nb_pixel_total : 15092 time to create 1 rle with old method : 0.01654505729675293 time for calcul the mask position with numpy : 0.028005599975585938 nb_pixel_total : 10432 time to create 1 rle with old method : 0.011243343353271484 time for calcul the mask position with numpy : 0.027816057205200195 nb_pixel_total : 32771 time to create 1 rle with old method : 0.03556942939758301 time for calcul the mask position with numpy : 0.028690338134765625 nb_pixel_total : 50759 time to create 1 rle with old method : 0.05709671974182129 time for calcul the mask position with numpy : 0.028879880905151367 nb_pixel_total : 24966 time to create 1 rle with old method : 0.028078794479370117 time for calcul the mask position with numpy : 0.029065608978271484 nb_pixel_total : 50544 time to create 1 rle with old method : 0.05569958686828613 time for calcul the mask position with numpy : 0.027213096618652344 nb_pixel_total : 12910 time to create 1 rle with old method : 0.014258623123168945 time for calcul the mask position with numpy : 0.028132200241088867 nb_pixel_total : 46514 time to create 1 rle with old method : 0.05110883712768555 time for calcul the mask position with numpy : 0.028260469436645508 nb_pixel_total : 7555 time to create 1 rle with old method : 0.008502006530761719 time for calcul the mask position with numpy : 0.02818608283996582 nb_pixel_total : 28712 time to create 1 rle with old method : 0.03026127815246582 time for calcul the mask position with numpy : 0.027891159057617188 nb_pixel_total : 9684 time to create 1 rle with old method : 0.010812520980834961 time for calcul the mask position with numpy : 0.028238534927368164 nb_pixel_total : 27331 time to create 1 rle with old method : 0.029855966567993164 time for calcul the mask position with numpy : 0.028027057647705078 nb_pixel_total : 30010 time to create 1 rle with old method : 0.032395362854003906 time for calcul the mask position with numpy : 0.027837038040161133 nb_pixel_total : 23246 time to create 1 rle with old method : 0.02511739730834961 time for calcul the mask position with numpy : 0.02836894989013672 nb_pixel_total : 26185 time to create 1 rle with old method : 0.028487205505371094 time for calcul the mask position with numpy : 0.027958154678344727 nb_pixel_total : 24951 time to create 1 rle with old method : 0.027191162109375 time for calcul the mask position with numpy : 0.028020620346069336 nb_pixel_total : 48193 time to create 1 rle with old method : 0.05291342735290527 time for calcul the mask position with numpy : 0.027715682983398438 nb_pixel_total : 3681 time to create 1 rle with old method : 0.0039937496185302734 time for calcul the mask position with numpy : 0.028174638748168945 nb_pixel_total : 11397 time to create 1 rle with old method : 0.012404680252075195 time for calcul the mask position with numpy : 0.02800130844116211 nb_pixel_total : 9240 time to create 1 rle with old method : 0.009828567504882812 time for calcul the mask position with numpy : 0.028615713119506836 nb_pixel_total : 8029 time to create 1 rle with old method : 0.008866548538208008 time for calcul the mask position with numpy : 0.028318166732788086 nb_pixel_total : 31276 time to create 1 rle with old method : 0.033670663833618164 time for calcul the mask position with numpy : 0.029189586639404297 nb_pixel_total : 17972 time to create 1 rle with old method : 0.018690824508666992 time for calcul the mask position with numpy : 0.028763771057128906 nb_pixel_total : 236 time to create 1 rle with old method : 0.00041365623474121094 time for calcul the mask position with numpy : 0.02789592742919922 nb_pixel_total : 37750 time to create 1 rle with old method : 0.04099130630493164 time for calcul the mask position with numpy : 0.02834486961364746 nb_pixel_total : 17706 time to create 1 rle with old method : 0.018561840057373047 create new chi : 3.649152994155884 time to delete rle : 0.002145528793334961 batch 1 Loaded 63 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 1.7191345691680908 nb_obj : 38 nb_hashtags : 4 time to prepare the origin masks : 7.70515251159668 time for calcul the mask position with numpy : 0.6291885375976562 nb_pixel_total : 5907018 time to create 1 rle with new method : 0.6242163181304932 time for calcul the mask position with numpy : 0.029498815536499023 nb_pixel_total : 96974 time to create 1 rle with old method : 0.10707449913024902 time for calcul the mask position with numpy : 0.02918076515197754 nb_pixel_total : 58208 time to create 1 rle with old method : 0.06472969055175781 time for calcul the mask position with numpy : 0.029616832733154297 nb_pixel_total : 115599 time to create 1 rle with old method : 0.12843632698059082 time for calcul the mask position with numpy : 0.02848076820373535 nb_pixel_total : 26512 time to create 1 rle with old method : 0.02996349334716797 time for calcul the mask position with numpy : 0.03333282470703125 nb_pixel_total : 13920 time to create 1 rle with old method : 0.02377915382385254 time for calcul the mask position with numpy : 0.031508445739746094 nb_pixel_total : 19206 time to create 1 rle with old method : 0.021613359451293945 time for calcul the mask position with numpy : 0.028970718383789062 nb_pixel_total : 5160 time to create 1 rle with old method : 0.00596308708190918 time for calcul the mask position with numpy : 0.029156208038330078 nb_pixel_total : 10204 time to create 1 rle with old method : 0.011723756790161133 time for calcul the mask position with numpy : 0.029272794723510742 nb_pixel_total : 33996 time to create 1 rle with old method : 0.038951873779296875 time for calcul the mask position with numpy : 0.029585838317871094 nb_pixel_total : 94409 time to create 1 rle with old method : 0.11361169815063477 time for calcul the mask position with numpy : 0.029105663299560547 nb_pixel_total : 21350 time to create 1 rle with old method : 0.023859024047851562 time for calcul the mask position with numpy : 0.029212236404418945 nb_pixel_total : 21267 time to create 1 rle with old method : 0.024437665939331055 time for calcul the mask position with numpy : 0.030039310455322266 nb_pixel_total : 11317 time to create 1 rle with old method : 0.015535116195678711 time for calcul the mask position with numpy : 0.028369665145874023 nb_pixel_total : 7093 time to create 1 rle with old method : 0.00786137580871582 time for calcul the mask position with numpy : 0.028011322021484375 nb_pixel_total : 12646 time to create 1 rle with old method : 0.014039754867553711 time for calcul the mask position with numpy : 0.028702735900878906 nb_pixel_total : 101922 time to create 1 rle with old method : 0.1379396915435791 time for calcul the mask position with numpy : 0.028017759323120117 nb_pixel_total : 22113 time to create 1 rle with old method : 0.023970365524291992 time for calcul the mask position with numpy : 0.029123783111572266 nb_pixel_total : 51707 time to create 1 rle with old method : 0.07835674285888672 time for calcul the mask position with numpy : 0.028406620025634766 nb_pixel_total : 5975 time to create 1 rle with old method : 0.006635904312133789 time for calcul the mask position with numpy : 0.02865290641784668 nb_pixel_total : 218681 time to create 1 rle with new method : 0.5677363872528076 time for calcul the mask position with numpy : 0.027847766876220703 nb_pixel_total : 13987 time to create 1 rle with old method : 0.015027523040771484 time for calcul the mask position with numpy : 0.02787494659423828 nb_pixel_total : 13565 time to create 1 rle with old method : 0.014925479888916016 time for calcul the mask position with numpy : 0.02825164794921875 nb_pixel_total : 6333 time to create 1 rle with old method : 0.00688481330871582 time for calcul the mask position with numpy : 0.028043508529663086 nb_pixel_total : 11637 time to create 1 rle with old method : 0.012523651123046875 time for calcul the mask position with numpy : 0.027174949645996094 nb_pixel_total : 7801 time to create 1 rle with old method : 0.008220195770263672 time for calcul the mask position with numpy : 0.027164697647094727 nb_pixel_total : 8357 time to create 1 rle with old method : 0.009264945983886719 time for calcul the mask position with numpy : 0.027393579483032227 nb_pixel_total : 22037 time to create 1 rle with old method : 0.024110078811645508 time for calcul the mask position with numpy : 0.031441450119018555 nb_pixel_total : 6 time to create 1 rle with old method : 4.291534423828125e-05 time for calcul the mask position with numpy : 0.028216123580932617 nb_pixel_total : 6614 time to create 1 rle with old method : 0.007119894027709961 time for calcul the mask position with numpy : 0.02812647819519043 nb_pixel_total : 43362 time to create 1 rle with old method : 0.046234130859375 time for calcul the mask position with numpy : 0.028619766235351562 nb_pixel_total : 11957 time to create 1 rle with old method : 0.013107538223266602 time for calcul the mask position with numpy : 0.029332399368286133 nb_pixel_total : 8691 time to create 1 rle with old method : 0.00978851318359375 time for calcul the mask position with numpy : 0.028992414474487305 nb_pixel_total : 9407 time to create 1 rle with old method : 0.010542154312133789 time for calcul the mask position with numpy : 0.02893686294555664 nb_pixel_total : 9374 time to create 1 rle with old method : 0.010577678680419922 time for calcul the mask position with numpy : 0.02916860580444336 nb_pixel_total : 6767 time to create 1 rle with old method : 0.007666349411010742 time for calcul the mask position with numpy : 0.02918839454650879 nb_pixel_total : 9126 time to create 1 rle with old method : 0.010124683380126953 time for calcul the mask position with numpy : 0.02834463119506836 nb_pixel_total : 5942 time to create 1 rle with old method : 0.006409645080566406 create new chi : 4.073809623718262 time to delete rle : 0.0026464462280273438 batch 1 Loaded 78 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 6 TO DO : save crop sub photo not yet done ! save time : 0.44440126419067383 nb_obj : 29 nb_hashtags : 2 time to prepare the origin masks : 7.347461938858032 time for calcul the mask position with numpy : 0.9564635753631592 nb_pixel_total : 6106868 time to create 1 rle with new method : 0.7853403091430664 time for calcul the mask position with numpy : 0.03018355369567871 nb_pixel_total : 13563 time to create 1 rle with old method : 0.015363931655883789 time for calcul the mask position with numpy : 0.029519081115722656 nb_pixel_total : 31619 time to create 1 rle with old method : 0.03528785705566406 time for calcul the mask position with numpy : 0.028924226760864258 nb_pixel_total : 7992 time to create 1 rle with old method : 0.010737895965576172 time for calcul the mask position with numpy : 0.029752254486083984 nb_pixel_total : 39831 time to create 1 rle with old method : 0.046320199966430664 time for calcul the mask position with numpy : 0.03323006629943848 nb_pixel_total : 40541 time to create 1 rle with old method : 0.05837607383728027 time for calcul the mask position with numpy : 0.028830289840698242 nb_pixel_total : 7069 time to create 1 rle with old method : 0.009873628616333008 time for calcul the mask position with numpy : 0.03016495704650879 nb_pixel_total : 388890 time to create 1 rle with new method : 0.7430582046508789 time for calcul the mask position with numpy : 0.030286550521850586 nb_pixel_total : 11998 time to create 1 rle with old method : 0.013382196426391602 time for calcul the mask position with numpy : 0.029309511184692383 nb_pixel_total : 23117 time to create 1 rle with old method : 0.028117895126342773 time for calcul the mask position with numpy : 0.030538558959960938 nb_pixel_total : 7788 time to create 1 rle with old method : 0.008760452270507812 time for calcul the mask position with numpy : 0.029376745223999023 nb_pixel_total : 112617 time to create 1 rle with old method : 0.12679123878479004 time for calcul the mask position with numpy : 0.02959728240966797 nb_pixel_total : 18009 time to create 1 rle with old method : 0.02888035774230957 time for calcul the mask position with numpy : 0.0308837890625 nb_pixel_total : 23657 time to create 1 rle with old method : 0.026681900024414062 time for calcul the mask position with numpy : 0.029674768447875977 nb_pixel_total : 28218 time to create 1 rle with old method : 0.03138566017150879 time for calcul the mask position with numpy : 0.02930760383605957 nb_pixel_total : 147 time to create 1 rle with old method : 0.0003712177276611328 time for calcul the mask position with numpy : 0.029381752014160156 nb_pixel_total : 15932 time to create 1 rle with old method : 0.017866134643554688 time for calcul the mask position with numpy : 0.028852462768554688 nb_pixel_total : 13550 time to create 1 rle with old method : 0.01605081558227539 time for calcul the mask position with numpy : 0.029360055923461914 nb_pixel_total : 11128 time to create 1 rle with old method : 0.012178897857666016 time for calcul the mask position with numpy : 0.02781391143798828 nb_pixel_total : 18753 time to create 1 rle with old method : 0.020328998565673828 time for calcul the mask position with numpy : 0.03524470329284668 nb_pixel_total : 13362 time to create 1 rle with old method : 0.02496170997619629 time for calcul the mask position with numpy : 0.03320956230163574 nb_pixel_total : 48249 time to create 1 rle with old method : 0.052980899810791016 time for calcul the mask position with numpy : 0.031595468521118164 nb_pixel_total : 2760 time to create 1 rle with old method : 0.0034265518188476562 time for calcul the mask position with numpy : 0.030067920684814453 nb_pixel_total : 30183 time to create 1 rle with old method : 0.033843278884887695 time for calcul the mask position with numpy : 0.02942633628845215 nb_pixel_total : 7022 time to create 1 rle with old method : 0.007889032363891602 time for calcul the mask position with numpy : 0.029206275939941406 nb_pixel_total : 11228 time to create 1 rle with old method : 0.012596607208251953 time for calcul the mask position with numpy : 0.03406476974487305 nb_pixel_total : 197 time to create 1 rle with old method : 0.0005278587341308594 time for calcul the mask position with numpy : 0.034783363342285156 nb_pixel_total : 5775 time to create 1 rle with old method : 0.006593942642211914 time for calcul the mask position with numpy : 0.029086828231811523 nb_pixel_total : 10177 time to create 1 rle with old method : 0.012175798416137695 create new chi : 4.0928428173065186 time to delete rle : 0.0024428367614746094 batch 1 Loaded 61 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 713 TO DO : save crop sub photo not yet done ! save time : 2.0193164348602295 nb_obj : 46 nb_hashtags : 6 time to prepare the origin masks : 7.521794557571411 time for calcul the mask position with numpy : 0.6608917713165283 nb_pixel_total : 5213097 time to create 1 rle with new method : 1.0283513069152832 time for calcul the mask position with numpy : 0.029252052307128906 nb_pixel_total : 13010 time to create 1 rle with old method : 0.014591693878173828 time for calcul the mask position with numpy : 0.029571056365966797 nb_pixel_total : 47469 time to create 1 rle with old method : 0.05186605453491211 time for calcul the mask position with numpy : 0.029371976852416992 nb_pixel_total : 98955 time to create 1 rle with old method : 0.10614752769470215 time for calcul the mask position with numpy : 0.028549909591674805 nb_pixel_total : 8982 time to create 1 rle with old method : 0.009753704071044922 time for calcul the mask position with numpy : 0.0285189151763916 nb_pixel_total : 52323 time to create 1 rle with old method : 0.05781888961791992 time for calcul the mask position with numpy : 0.02827286720275879 nb_pixel_total : 53719 time to create 1 rle with old method : 0.05716729164123535 time for calcul the mask position with numpy : 0.028704404830932617 nb_pixel_total : 42931 time to create 1 rle with old method : 0.06426024436950684 time for calcul the mask position with numpy : 0.03465390205383301 nb_pixel_total : 220821 time to create 1 rle with new method : 0.5007627010345459 time for calcul the mask position with numpy : 0.02822279930114746 nb_pixel_total : 2862 time to create 1 rle with old method : 0.0033168792724609375 time for calcul the mask position with numpy : 0.028270244598388672 nb_pixel_total : 18995 time to create 1 rle with old method : 0.02101612091064453 time for calcul the mask position with numpy : 0.02831268310546875 nb_pixel_total : 16268 time to create 1 rle with old method : 0.017617464065551758 time for calcul the mask position with numpy : 0.027672767639160156 nb_pixel_total : 7094 time to create 1 rle with old method : 0.00783681869506836 time for calcul the mask position with numpy : 0.026874303817749023 nb_pixel_total : 19395 time to create 1 rle with old method : 0.020496845245361328 time for calcul the mask position with numpy : 0.027398109436035156 nb_pixel_total : 10928 time to create 1 rle with old method : 0.011850357055664062 time for calcul the mask position with numpy : 0.028237104415893555 nb_pixel_total : 44752 time to create 1 rle with old method : 0.047435760498046875 time for calcul the mask position with numpy : 0.028479814529418945 nb_pixel_total : 177214 time to create 1 rle with new method : 0.7310690879821777 time for calcul the mask position with numpy : 0.027799367904663086 nb_pixel_total : 781 time to create 1 rle with old method : 0.0008883476257324219 time for calcul the mask position with numpy : 0.02949213981628418 nb_pixel_total : 225725 time to create 1 rle with new method : 1.0020580291748047 time for calcul the mask position with numpy : 0.02835845947265625 nb_pixel_total : 1558 time to create 1 rle with old method : 0.0023233890533447266 time for calcul the mask position with numpy : 0.02916550636291504 nb_pixel_total : 73024 time to create 1 rle with old method : 0.08014869689941406 time for calcul the mask position with numpy : 0.028772592544555664 nb_pixel_total : 27937 time to create 1 rle with old method : 0.030139684677124023 time for calcul the mask position with numpy : 0.028594970703125 nb_pixel_total : 82179 time to create 1 rle with old method : 0.0862116813659668 time for calcul the mask position with numpy : 0.028859615325927734 nb_pixel_total : 123686 time to create 1 rle with old method : 0.13488507270812988 time for calcul the mask position with numpy : 0.03228497505187988 nb_pixel_total : 25034 time to create 1 rle with old method : 0.027867555618286133 time for calcul the mask position with numpy : 0.02954411506652832 nb_pixel_total : 54325 time to create 1 rle with old method : 0.05985760688781738 time for calcul the mask position with numpy : 0.034119606018066406 nb_pixel_total : 55 time to create 1 rle with old method : 0.0002961158752441406 time for calcul the mask position with numpy : 0.02872443199157715 nb_pixel_total : 52899 time to create 1 rle with old method : 0.05695343017578125 time for calcul the mask position with numpy : 0.028881072998046875 nb_pixel_total : 64443 time to create 1 rle with old method : 0.07108616828918457 time for calcul the mask position with numpy : 0.02853226661682129 nb_pixel_total : 17701 time to create 1 rle with old method : 0.020087003707885742 time for calcul the mask position with numpy : 0.02881765365600586 nb_pixel_total : 10259 time to create 1 rle with old method : 0.010982990264892578 time for calcul the mask position with numpy : 0.0288238525390625 nb_pixel_total : 6764 time to create 1 rle with old method : 0.007605075836181641 time for calcul the mask position with numpy : 0.028588056564331055 nb_pixel_total : 14985 time to create 1 rle with old method : 0.0164642333984375 time for calcul the mask position with numpy : 0.028881072998046875 nb_pixel_total : 17083 time to create 1 rle with old method : 0.01915764808654785 time for calcul the mask position with numpy : 0.028537750244140625 nb_pixel_total : 35125 time to create 1 rle with old method : 0.03847622871398926 time for calcul the mask position with numpy : 0.028406381607055664 nb_pixel_total : 3222 time to create 1 rle with old method : 0.0035872459411621094 time for calcul the mask position with numpy : 0.02826690673828125 nb_pixel_total : 22133 time to create 1 rle with old method : 0.02372598648071289 time for calcul the mask position with numpy : 0.02817821502685547 nb_pixel_total : 46300 time to create 1 rle with old method : 0.049202680587768555 time for calcul the mask position with numpy : 0.027933120727539062 nb_pixel_total : 1877 time to create 1 rle with old method : 0.0021276473999023438 time for calcul the mask position with numpy : 0.02732992172241211 nb_pixel_total : 349 time to create 1 rle with old method : 0.0006220340728759766 time for calcul the mask position with numpy : 0.027561664581298828 nb_pixel_total : 3780 time to create 1 rle with old method : 0.00410914421081543 time for calcul the mask position with numpy : 0.02738642692565918 nb_pixel_total : 6466 time to create 1 rle with old method : 0.007023334503173828 time for calcul the mask position with numpy : 0.0290529727935791 nb_pixel_total : 21236 time to create 1 rle with old method : 0.023409605026245117 time for calcul the mask position with numpy : 0.028126955032348633 nb_pixel_total : 6494 time to create 1 rle with old method : 0.0071299076080322266 time for calcul the mask position with numpy : 0.028018712997436523 nb_pixel_total : 44909 time to create 1 rle with old method : 0.049268484115600586 time for calcul the mask position with numpy : 0.027696847915649414 nb_pixel_total : 11096 time to create 1 rle with old method : 0.011952877044677734 create new chi : 6.691393852233887 time to delete rle : 0.0037009716033935547 batch 1 Loaded 94 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 1673 TO DO : save crop sub photo not yet done ! save time : 4.949618101119995 nb_obj : 46 nb_hashtags : 5 time to prepare the origin masks : 7.545375108718872 time for calcul the mask position with numpy : 0.5180389881134033 nb_pixel_total : 5560811 time to create 1 rle with new method : 0.5595078468322754 time for calcul the mask position with numpy : 0.028983116149902344 nb_pixel_total : 119155 time to create 1 rle with old method : 0.1565396785736084 time for calcul the mask position with numpy : 0.02828836441040039 nb_pixel_total : 29723 time to create 1 rle with old method : 0.03272294998168945 time for calcul the mask position with numpy : 0.02863597869873047 nb_pixel_total : 26255 time to create 1 rle with old method : 0.028315305709838867 time for calcul the mask position with numpy : 0.030933856964111328 nb_pixel_total : 17182 time to create 1 rle with old method : 0.028178691864013672 time for calcul the mask position with numpy : 0.03224372863769531 nb_pixel_total : 17753 time to create 1 rle with old method : 0.02872157096862793 time for calcul the mask position with numpy : 0.03023529052734375 nb_pixel_total : 34793 time to create 1 rle with old method : 0.03872275352478027 time for calcul the mask position with numpy : 0.02906513214111328 nb_pixel_total : 10206 time to create 1 rle with old method : 0.011551141738891602 time for calcul the mask position with numpy : 0.029091835021972656 nb_pixel_total : 15767 time to create 1 rle with old method : 0.017818450927734375 time for calcul the mask position with numpy : 0.028989076614379883 nb_pixel_total : 9507 time to create 1 rle with old method : 0.010601520538330078 time for calcul the mask position with numpy : 0.029272079467773438 nb_pixel_total : 90953 time to create 1 rle with old method : 0.10078191757202148 time for calcul the mask position with numpy : 0.029058456420898438 nb_pixel_total : 15780 time to create 1 rle with old method : 0.0176084041595459 time for calcul the mask position with numpy : 0.028945446014404297 nb_pixel_total : 11111 time to create 1 rle with old method : 0.012346982955932617 time for calcul the mask position with numpy : 0.02929377555847168 nb_pixel_total : 107032 time to create 1 rle with old method : 0.1189119815826416 time for calcul the mask position with numpy : 0.02940964698791504 nb_pixel_total : 52114 time to create 1 rle with old method : 0.058119773864746094 time for calcul the mask position with numpy : 0.029071569442749023 nb_pixel_total : 16716 time to create 1 rle with old method : 0.018627405166625977 time for calcul the mask position with numpy : 0.028725624084472656 nb_pixel_total : 34018 time to create 1 rle with old method : 0.03777575492858887 time for calcul the mask position with numpy : 0.02900838851928711 nb_pixel_total : 20964 time to create 1 rle with old method : 0.02335333824157715 time for calcul the mask position with numpy : 0.02830958366394043 nb_pixel_total : 34422 time to create 1 rle with old method : 0.03755068778991699 time for calcul the mask position with numpy : 0.02843451499938965 nb_pixel_total : 5019 time to create 1 rle with old method : 0.005650043487548828 time for calcul the mask position with numpy : 0.028824329376220703 nb_pixel_total : 19455 time to create 1 rle with old method : 0.021648406982421875 time for calcul the mask position with numpy : 0.029041290283203125 nb_pixel_total : 76224 time to create 1 rle with old method : 0.08528327941894531 time for calcul the mask position with numpy : 0.02890324592590332 nb_pixel_total : 12932 time to create 1 rle with old method : 0.014424324035644531 time for calcul the mask position with numpy : 0.02884364128112793 nb_pixel_total : 9212 time to create 1 rle with old method : 0.010315656661987305 time for calcul the mask position with numpy : 0.02889728546142578 nb_pixel_total : 11136 time to create 1 rle with old method : 0.012458324432373047 time for calcul the mask position with numpy : 0.02912139892578125 nb_pixel_total : 89298 time to create 1 rle with old method : 0.09972476959228516 time for calcul the mask position with numpy : 0.02895665168762207 nb_pixel_total : 257 time to create 1 rle with old method : 0.0005459785461425781 time for calcul the mask position with numpy : 0.028911590576171875 nb_pixel_total : 39712 time to create 1 rle with old method : 0.04445910453796387 time for calcul the mask position with numpy : 0.028005123138427734 nb_pixel_total : 46413 time to create 1 rle with old method : 0.04968571662902832 time for calcul the mask position with numpy : 0.027400732040405273 nb_pixel_total : 26970 time to create 1 rle with old method : 0.02963566780090332 time for calcul the mask position with numpy : 0.028511524200439453 nb_pixel_total : 33590 time to create 1 rle with old method : 0.03566622734069824 time for calcul the mask position with numpy : 0.027167081832885742 nb_pixel_total : 49121 time to create 1 rle with old method : 0.051695823669433594 time for calcul the mask position with numpy : 0.027925491333007812 nb_pixel_total : 16008 time to create 1 rle with old method : 0.016620397567749023 time for calcul the mask position with numpy : 0.027533769607543945 nb_pixel_total : 9190 time to create 1 rle with old method : 0.009906530380249023 time for calcul the mask position with numpy : 0.027490615844726562 nb_pixel_total : 32682 time to create 1 rle with old method : 0.03538012504577637 time for calcul the mask position with numpy : 0.02836298942565918 nb_pixel_total : 28367 time to create 1 rle with old method : 0.030325651168823242 time for calcul the mask position with numpy : 0.02713775634765625 nb_pixel_total : 18649 time to create 1 rle with old method : 0.019145965576171875 time for calcul the mask position with numpy : 0.027478933334350586 nb_pixel_total : 6713 time to create 1 rle with old method : 0.0076177120208740234 time for calcul the mask position with numpy : 0.02955317497253418 nb_pixel_total : 125065 time to create 1 rle with old method : 0.13079547882080078 time for calcul the mask position with numpy : 0.027805089950561523 nb_pixel_total : 40879 time to create 1 rle with old method : 0.043552398681640625 time for calcul the mask position with numpy : 0.027434110641479492 nb_pixel_total : 40225 time to create 1 rle with old method : 0.04303145408630371 time for calcul the mask position with numpy : 0.028262615203857422 nb_pixel_total : 10330 time to create 1 rle with old method : 0.010819435119628906 time for calcul the mask position with numpy : 0.026775121688842773 nb_pixel_total : 14506 time to create 1 rle with old method : 0.014981746673583984 time for calcul the mask position with numpy : 0.027199268341064453 nb_pixel_total : 35856 time to create 1 rle with old method : 0.038332462310791016 time for calcul the mask position with numpy : 0.027985572814941406 nb_pixel_total : 7009 time to create 1 rle with old method : 0.00744938850402832 time for calcul the mask position with numpy : 0.027416467666625977 nb_pixel_total : 21160 time to create 1 rle with old method : 0.02245783805847168 create new chi : 4.101116895675659 time to delete rle : 0.0036308765411376953 batch 1 Loaded 92 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 395 TO DO : save crop sub photo not yet done ! save time : 1.9160535335540771 nb_obj : 55 nb_hashtags : 5 time to prepare the origin masks : 7.730583667755127 time for calcul the mask position with numpy : 0.34403324127197266 nb_pixel_total : 5048200 time to create 1 rle with new method : 1.2348196506500244 time for calcul the mask position with numpy : 0.029205799102783203 nb_pixel_total : 14092 time to create 1 rle with old method : 0.015774011611938477 time for calcul the mask position with numpy : 0.0295107364654541 nb_pixel_total : 93396 time to create 1 rle with old method : 0.10972094535827637 time for calcul the mask position with numpy : 0.034598588943481445 nb_pixel_total : 161314 time to create 1 rle with new method : 0.6513562202453613 time for calcul the mask position with numpy : 0.02925276756286621 nb_pixel_total : 4398 time to create 1 rle with old method : 0.005021333694458008 time for calcul the mask position with numpy : 0.029230117797851562 nb_pixel_total : 27015 time to create 1 rle with old method : 0.030047178268432617 time for calcul the mask position with numpy : 0.029528141021728516 nb_pixel_total : 44179 time to create 1 rle with old method : 0.049034833908081055 time for calcul the mask position with numpy : 0.029394149780273438 nb_pixel_total : 14882 time to create 1 rle with old method : 0.016438961029052734 time for calcul the mask position with numpy : 0.028614521026611328 nb_pixel_total : 42058 time to create 1 rle with old method : 0.04744768142700195 time for calcul the mask position with numpy : 0.03277730941772461 nb_pixel_total : 18217 time to create 1 rle with old method : 0.02083873748779297 time for calcul the mask position with numpy : 0.029835224151611328 nb_pixel_total : 5745 time to create 1 rle with old method : 0.006447792053222656 time for calcul the mask position with numpy : 0.02991461753845215 nb_pixel_total : 10569 time to create 1 rle with old method : 0.011779546737670898 time for calcul the mask position with numpy : 0.02844524383544922 nb_pixel_total : 128 time to create 1 rle with old method : 0.00043892860412597656 time for calcul the mask position with numpy : 0.029162168502807617 nb_pixel_total : 23645 time to create 1 rle with old method : 0.026701927185058594 time for calcul the mask position with numpy : 0.03050541877746582 nb_pixel_total : 9771 time to create 1 rle with old method : 0.010916709899902344 time for calcul the mask position with numpy : 0.028419017791748047 nb_pixel_total : 35041 time to create 1 rle with old method : 0.03827691078186035 time for calcul the mask position with numpy : 0.028430461883544922 nb_pixel_total : 8017 time to create 1 rle with old method : 0.00893092155456543 time for calcul the mask position with numpy : 0.028288841247558594 nb_pixel_total : 73123 time to create 1 rle with old method : 0.08187603950500488 time for calcul the mask position with numpy : 0.029327869415283203 nb_pixel_total : 48931 time to create 1 rle with old method : 0.0524897575378418 time for calcul the mask position with numpy : 0.02801799774169922 nb_pixel_total : 3941 time to create 1 rle with old method : 0.004329204559326172 time for calcul the mask position with numpy : 0.0283050537109375 nb_pixel_total : 13338 time to create 1 rle with old method : 0.014256000518798828 time for calcul the mask position with numpy : 0.03519129753112793 nb_pixel_total : 56263 time to create 1 rle with old method : 0.06157493591308594 time for calcul the mask position with numpy : 0.028374195098876953 nb_pixel_total : 108703 time to create 1 rle with old method : 0.12006974220275879 time for calcul the mask position with numpy : 0.03365135192871094 nb_pixel_total : 20032 time to create 1 rle with old method : 0.021945953369140625 time for calcul the mask position with numpy : 0.02792072296142578 nb_pixel_total : 25091 time to create 1 rle with old method : 0.02696704864501953 time for calcul the mask position with numpy : 0.027498245239257812 nb_pixel_total : 37142 time to create 1 rle with old method : 0.03866219520568848 time for calcul the mask position with numpy : 0.026685237884521484 nb_pixel_total : 373 time to create 1 rle with old method : 0.0006957054138183594 time for calcul the mask position with numpy : 0.026654720306396484 nb_pixel_total : 1340 time to create 1 rle with old method : 0.001569509506225586 time for calcul the mask position with numpy : 0.02800154685974121 nb_pixel_total : 103256 time to create 1 rle with old method : 0.11197590827941895 time for calcul the mask position with numpy : 0.02785658836364746 nb_pixel_total : 10376 time to create 1 rle with old method : 0.011213541030883789 time for calcul the mask position with numpy : 0.027548789978027344 nb_pixel_total : 10677 time to create 1 rle with old method : 0.011957645416259766 time for calcul the mask position with numpy : 0.054602622985839844 nb_pixel_total : 15 time to create 1 rle with old method : 0.00010037422180175781 time for calcul the mask position with numpy : 0.03494977951049805 nb_pixel_total : 31855 time to create 1 rle with old method : 0.05032014846801758 time for calcul the mask position with numpy : 0.031832218170166016 nb_pixel_total : 85977 time to create 1 rle with old method : 0.10205459594726562 time for calcul the mask position with numpy : 0.03123784065246582 nb_pixel_total : 44471 time to create 1 rle with old method : 0.055685997009277344 time for calcul the mask position with numpy : 0.028979063034057617 nb_pixel_total : 62686 time to create 1 rle with old method : 0.06843161582946777 time for calcul the mask position with numpy : 0.028284788131713867 nb_pixel_total : 21847 time to create 1 rle with old method : 0.023862600326538086 time for calcul the mask position with numpy : 0.028686046600341797 nb_pixel_total : 48521 time to create 1 rle with old method : 0.05384421348571777 time for calcul the mask position with numpy : 0.02902817726135254 nb_pixel_total : 13798 time to create 1 rle with old method : 0.015505313873291016 time for calcul the mask position with numpy : 0.02921581268310547 nb_pixel_total : 49190 time to create 1 rle with old method : 0.054250478744506836 time for calcul the mask position with numpy : 0.028425931930541992 nb_pixel_total : 20556 time to create 1 rle with old method : 0.02266860008239746 time for calcul the mask position with numpy : 0.028355121612548828 nb_pixel_total : 12842 time to create 1 rle with old method : 0.014260292053222656 time for calcul the mask position with numpy : 0.028738737106323242 nb_pixel_total : 38400 time to create 1 rle with old method : 0.04170370101928711 time for calcul the mask position with numpy : 0.032225847244262695 nb_pixel_total : 291818 time to create 1 rle with new method : 1.3041870594024658 time for calcul the mask position with numpy : 0.02681136131286621 nb_pixel_total : 8317 time to create 1 rle with old method : 0.00876927375793457 time for calcul the mask position with numpy : 0.027568340301513672 nb_pixel_total : 17076 time to create 1 rle with old method : 0.018553733825683594 time for calcul the mask position with numpy : 0.028635501861572266 nb_pixel_total : 8407 time to create 1 rle with old method : 0.009354829788208008 time for calcul the mask position with numpy : 0.0281980037689209 nb_pixel_total : 21512 time to create 1 rle with old method : 0.02305150032043457 time for calcul the mask position with numpy : 0.02785658836364746 nb_pixel_total : 3847 time to create 1 rle with old method : 0.004300832748413086 time for calcul the mask position with numpy : 0.028835058212280273 nb_pixel_total : 112311 time to create 1 rle with old method : 0.12130880355834961 time for calcul the mask position with numpy : 0.027712583541870117 nb_pixel_total : 12414 time to create 1 rle with old method : 0.013489723205566406 time for calcul the mask position with numpy : 0.027555227279663086 nb_pixel_total : 33745 time to create 1 rle with old method : 0.03649568557739258 time for calcul the mask position with numpy : 0.028089523315429688 nb_pixel_total : 6979 time to create 1 rle with old method : 0.0074291229248046875 time for calcul the mask position with numpy : 0.028494596481323242 nb_pixel_total : 13796 time to create 1 rle with old method : 0.01503443717956543 time for calcul the mask position with numpy : 0.02765178680419922 nb_pixel_total : 16607 time to create 1 rle with old method : 0.017931222915649414 create new chi : 6.9870665073394775 time to delete rle : 0.0067729949951171875 batch 1 Loaded 109 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 70 TO DO : save crop sub photo not yet done ! save time : 0.8982162475585938 nb_obj : 28 nb_hashtags : 5 time to prepare the origin masks : 7.542309045791626 time for calcul the mask position with numpy : 1.946274757385254 nb_pixel_total : 5996401 time to create 1 rle with new method : 1.1562824249267578 time for calcul the mask position with numpy : 0.02912425994873047 nb_pixel_total : 43850 time to create 1 rle with old method : 0.04896378517150879 time for calcul the mask position with numpy : 0.031200408935546875 nb_pixel_total : 19237 time to create 1 rle with old method : 0.021802425384521484 time for calcul the mask position with numpy : 0.03216409683227539 nb_pixel_total : 39727 time to create 1 rle with old method : 0.046677350997924805 time for calcul the mask position with numpy : 0.02997112274169922 nb_pixel_total : 27225 time to create 1 rle with old method : 0.031038761138916016 time for calcul the mask position with numpy : 0.02888941764831543 nb_pixel_total : 63907 time to create 1 rle with old method : 0.07122230529785156 time for calcul the mask position with numpy : 0.030915498733520508 nb_pixel_total : 40981 time to create 1 rle with old method : 0.04487776756286621 time for calcul the mask position with numpy : 0.029938697814941406 nb_pixel_total : 104368 time to create 1 rle with old method : 0.11520767211914062 time for calcul the mask position with numpy : 0.028832435607910156 nb_pixel_total : 9687 time to create 1 rle with old method : 0.011016130447387695 time for calcul the mask position with numpy : 0.02966594696044922 nb_pixel_total : 42357 time to create 1 rle with old method : 0.04723620414733887 time for calcul the mask position with numpy : 0.029120683670043945 nb_pixel_total : 34182 time to create 1 rle with old method : 0.03799867630004883 time for calcul the mask position with numpy : 0.029291152954101562 nb_pixel_total : 54011 time to create 1 rle with old method : 0.05896449089050293 time for calcul the mask position with numpy : 0.02907729148864746 nb_pixel_total : 63980 time to create 1 rle with old method : 0.07015538215637207 time for calcul the mask position with numpy : 0.027910470962524414 nb_pixel_total : 9013 time to create 1 rle with old method : 0.009851217269897461 time for calcul the mask position with numpy : 0.027268171310424805 nb_pixel_total : 10165 time to create 1 rle with old method : 0.010785818099975586 time for calcul the mask position with numpy : 0.027683019638061523 nb_pixel_total : 57071 time to create 1 rle with old method : 0.062391042709350586 time for calcul the mask position with numpy : 0.028332233428955078 nb_pixel_total : 19994 time to create 1 rle with old method : 0.024985551834106445 time for calcul the mask position with numpy : 0.033362627029418945 nb_pixel_total : 24731 time to create 1 rle with old method : 0.038462162017822266 time for calcul the mask position with numpy : 0.029523849487304688 nb_pixel_total : 20422 time to create 1 rle with old method : 0.0230715274810791 time for calcul the mask position with numpy : 0.029003620147705078 nb_pixel_total : 33384 time to create 1 rle with old method : 0.036524057388305664 time for calcul the mask position with numpy : 0.029448986053466797 nb_pixel_total : 17906 time to create 1 rle with old method : 0.019397974014282227 time for calcul the mask position with numpy : 0.029807567596435547 nb_pixel_total : 3378 time to create 1 rle with old method : 0.0056569576263427734 time for calcul the mask position with numpy : 0.03394794464111328 nb_pixel_total : 78944 time to create 1 rle with old method : 0.09578394889831543 time for calcul the mask position with numpy : 0.02883172035217285 nb_pixel_total : 60802 time to create 1 rle with old method : 0.06615304946899414 time for calcul the mask position with numpy : 0.028828144073486328 nb_pixel_total : 85502 time to create 1 rle with old method : 0.09739041328430176 time for calcul the mask position with numpy : 0.02953028678894043 nb_pixel_total : 45306 time to create 1 rle with old method : 0.05202221870422363 time for calcul the mask position with numpy : 0.02832770347595215 nb_pixel_total : 31598 time to create 1 rle with old method : 0.03512430191040039 time for calcul the mask position with numpy : 0.02817225456237793 nb_pixel_total : 12111 time to create 1 rle with old method : 0.013356685638427734 create new chi : 5.16344952583313 time to delete rle : 0.002438068389892578 batch 1 Loaded 55 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.8734166622161865 nb_obj : 23 nb_hashtags : 5 time to prepare the origin masks : 7.384948492050171 time for calcul the mask position with numpy : 0.538130521774292 nb_pixel_total : 6449934 time to create 1 rle with new method : 1.0848772525787354 time for calcul the mask position with numpy : 0.027904748916625977 nb_pixel_total : 10903 time to create 1 rle with old method : 0.011604785919189453 time for calcul the mask position with numpy : 0.026988983154296875 nb_pixel_total : 6672 time to create 1 rle with old method : 0.007173061370849609 time for calcul the mask position with numpy : 0.027400493621826172 nb_pixel_total : 19756 time to create 1 rle with old method : 0.020306825637817383 time for calcul the mask position with numpy : 0.026610374450683594 nb_pixel_total : 20508 time to create 1 rle with old method : 0.021171092987060547 time for calcul the mask position with numpy : 0.027071237564086914 nb_pixel_total : 128134 time to create 1 rle with old method : 0.1348264217376709 time for calcul the mask position with numpy : 0.028160572052001953 nb_pixel_total : 28822 time to create 1 rle with old method : 0.031117677688598633 time for calcul the mask position with numpy : 0.02761101722717285 nb_pixel_total : 15103 time to create 1 rle with old method : 0.016459226608276367 time for calcul the mask position with numpy : 0.02779531478881836 nb_pixel_total : 55985 time to create 1 rle with old method : 0.060307979583740234 time for calcul the mask position with numpy : 0.027559280395507812 nb_pixel_total : 22512 time to create 1 rle with old method : 0.023633241653442383 time for calcul the mask position with numpy : 0.026888370513916016 nb_pixel_total : 29235 time to create 1 rle with old method : 0.030626535415649414 time for calcul the mask position with numpy : 0.02719593048095703 nb_pixel_total : 7002 time to create 1 rle with old method : 0.007513523101806641 time for calcul the mask position with numpy : 0.02736377716064453 nb_pixel_total : 21895 time to create 1 rle with old method : 0.0231626033782959 time for calcul the mask position with numpy : 0.026962995529174805 nb_pixel_total : 82227 time to create 1 rle with old method : 0.08393359184265137 time for calcul the mask position with numpy : 0.027045726776123047 nb_pixel_total : 16478 time to create 1 rle with old method : 0.017660140991210938 time for calcul the mask position with numpy : 0.02850961685180664 nb_pixel_total : 31359 time to create 1 rle with old method : 0.03367733955383301 time for calcul the mask position with numpy : 0.027619361877441406 nb_pixel_total : 30501 time to create 1 rle with old method : 0.03159070014953613 time for calcul the mask position with numpy : 0.028085708618164062 nb_pixel_total : 32277 time to create 1 rle with old method : 0.034954071044921875 time for calcul the mask position with numpy : 0.027621746063232422 nb_pixel_total : 231 time to create 1 rle with old method : 0.0005567073822021484 time for calcul the mask position with numpy : 0.027409076690673828 nb_pixel_total : 17227 time to create 1 rle with old method : 0.018145084381103516 time for calcul the mask position with numpy : 0.028270483016967773 nb_pixel_total : 1871 time to create 1 rle with old method : 0.00225067138671875 time for calcul the mask position with numpy : 0.03303837776184082 nb_pixel_total : 20 time to create 1 rle with old method : 0.0003209114074707031 time for calcul the mask position with numpy : 0.027839183807373047 nb_pixel_total : 21588 time to create 1 rle with old method : 0.022521018981933594 create new chi : 2.933293581008911 time to delete rle : 0.00151824951171875 batch 1 Loaded 48 chid ids of type : 3594 +++++++++++++++++++++++++++++Number RLEs to save : 309 TO DO : save crop sub photo not yet done ! save time : 0.9099991321563721 nb_obj : 47 nb_hashtags : 5 time to prepare the origin masks : 7.273426294326782 time for calcul the mask position with numpy : 0.6822781562805176 nb_pixel_total : 5599531 time to create 1 rle with new method : 0.73166823387146 time for calcul the mask position with numpy : 0.030931472778320312 nb_pixel_total : 26358 time to create 1 rle with old method : 0.028725147247314453 time for calcul the mask position with numpy : 0.028475046157836914 nb_pixel_total : 89654 time to create 1 rle with old method : 0.13218069076538086 time for calcul the mask position with numpy : 0.028074264526367188 nb_pixel_total : 46714 time to create 1 rle with old method : 0.05149054527282715 time for calcul the mask position with numpy : 0.028255224227905273 nb_pixel_total : 21168 time to create 1 rle with old method : 0.022897958755493164 time for calcul the mask position with numpy : 0.028595685958862305 nb_pixel_total : 10749 time to create 1 rle with old method : 0.011722564697265625 time for calcul the mask position with numpy : 0.027985811233520508 nb_pixel_total : 13009 time to create 1 rle with old method : 0.013855457305908203 time for calcul the mask position with numpy : 0.027626514434814453 nb_pixel_total : 28272 time to create 1 rle with old method : 0.0312652587890625 time for calcul the mask position with numpy : 0.028145551681518555 nb_pixel_total : 24525 time to create 1 rle with old method : 0.026499032974243164 time for calcul the mask position with numpy : 0.027743816375732422 nb_pixel_total : 35054 time to create 1 rle with old method : 0.03725719451904297 time for calcul the mask position with numpy : 0.02761983871459961 nb_pixel_total : 85176 time to create 1 rle with old method : 0.09003138542175293 time for calcul the mask position with numpy : 0.02800440788269043 nb_pixel_total : 42588 time to create 1 rle with old method : 0.045580387115478516 time for calcul the mask position with numpy : 0.027837038040161133 nb_pixel_total : 18158 time to create 1 rle with old method : 0.0191190242767334 time for calcul the mask position with numpy : 0.02755284309387207 nb_pixel_total : 15348 time to create 1 rle with old method : 0.016220569610595703 time for calcul the mask position with numpy : 0.02911067008972168 nb_pixel_total : 72880 time to create 1 rle with old method : 0.0772855281829834 time for calcul the mask position with numpy : 0.029375791549682617 nb_pixel_total : 35969 time to create 1 rle with old method : 0.038778066635131836 time for calcul the mask position with numpy : 0.027757644653320312 nb_pixel_total : 545 time to create 1 rle with old method : 0.0008563995361328125 time for calcul the mask position with numpy : 0.027765512466430664 nb_pixel_total : 12262 time to create 1 rle with old method : 0.013267278671264648 time for calcul the mask position with numpy : 0.028359413146972656 nb_pixel_total : 2129 time to create 1 rle with old method : 0.002519369125366211 time for calcul the mask position with numpy : 0.028066158294677734 nb_pixel_total : 20683 time to create 1 rle with old method : 0.022578716278076172 time for calcul the mask position with numpy : 0.028781414031982422 nb_pixel_total : 18251 time to create 1 rle with old method : 0.02024245262145996 time for calcul the mask position with numpy : 0.028482437133789062 nb_pixel_total : 41235 time to create 1 rle with old method : 0.044080257415771484 time for calcul the mask position with numpy : 0.027791261672973633 nb_pixel_total : 15857 time to create 1 rle with old method : 0.017208337783813477 time for calcul the mask position with numpy : 0.02787494659423828 nb_pixel_total : 50637 time to create 1 rle with old method : 0.05378317832946777 time for calcul the mask position with numpy : 0.02820754051208496 nb_pixel_total : 51409 time to create 1 rle with old method : 0.054825544357299805 time for calcul the mask position with numpy : 0.02803492546081543 nb_pixel_total : 23684 time to create 1 rle with old method : 0.025376319885253906 time for calcul the mask position with numpy : 0.027897357940673828 nb_pixel_total : 87271 time to create 1 rle with old method : 0.0915982723236084 time for calcul the mask position with numpy : 0.027577877044677734 nb_pixel_total : 18767 time to create 1 rle with old method : 0.02014946937561035 time for calcul the mask position with numpy : 0.029144287109375 nb_pixel_total : 49970 time to create 1 rle with old method : 0.05985379219055176 time for calcul the mask position with numpy : 0.02911829948425293 nb_pixel_total : 65161 time to create 1 rle with old method : 0.07108545303344727 time for calcul the mask position with numpy : 0.028476238250732422 nb_pixel_total : 31831 time to create 1 rle with old method : 0.03496384620666504 time for calcul the mask position with numpy : 0.028489112854003906 nb_pixel_total : 19044 time to create 1 rle with old method : 0.021089553833007812 time for calcul the mask position with numpy : 0.028760910034179688 nb_pixel_total : 92 time to create 1 rle with old method : 0.0003311634063720703 time for calcul the mask position with numpy : 0.02847766876220703 nb_pixel_total : 18972 time to create 1 rle with old method : 0.021327733993530273 time for calcul the mask position with numpy : 0.02864670753479004 nb_pixel_total : 44026 time to create 1 rle with old method : 0.04864215850830078 time for calcul the mask position with numpy : 0.028109312057495117 nb_pixel_total : 19730 time to create 1 rle with old method : 0.022679805755615234 time for calcul the mask position with numpy : 0.02832198143005371 nb_pixel_total : 17473 time to create 1 rle with old method : 0.019101619720458984 time for calcul the mask position with numpy : 0.028247356414794922 nb_pixel_total : 23850 time to create 1 rle with old method : 0.026548385620117188 time for calcul the mask position with numpy : 0.03090214729309082 nb_pixel_total : 9588 time to create 1 rle with old method : 0.010657787322998047 time for calcul the mask position with numpy : 0.029044151306152344 nb_pixel_total : 11821 time to create 1 rle with old method : 0.013192176818847656 time for calcul the mask position with numpy : 0.028232097625732422 nb_pixel_total : 12108 time to create 1 rle with old method : 0.01302957534790039 time for calcul the mask position with numpy : 0.028362035751342773 nb_pixel_total : 50588 time to create 1 rle with old method : 0.05417919158935547 time for calcul the mask position with numpy : 0.028233766555786133 nb_pixel_total : 16738 time to create 1 rle with old method : 0.018277645111083984 time for calcul the mask position with numpy : 0.028383255004882812 nb_pixel_total : 28738 time to create 1 rle with old method : 0.031005859375 time for calcul the mask position with numpy : 0.02813553810119629 nb_pixel_total : 79051 time to create 1 rle with old method : 0.08198046684265137 time for calcul the mask position with numpy : 0.027341842651367188 nb_pixel_total : 33460 time to create 1 rle with old method : 0.03559446334838867 time for calcul the mask position with numpy : 0.027420520782470703 nb_pixel_total : 10116 time to create 1 rle with old method : 0.010463953018188477 create new chi : 4.388272762298584 time to delete rle : 0.003494739532470703 batch 1 Loaded 94 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 283 TO DO : save crop sub photo not yet done ! save time : 6.2531726360321045 nb_obj : 38 nb_hashtags : 5 time to prepare the origin masks : 7.3449461460113525 time for calcul the mask position with numpy : 1.000359058380127 nb_pixel_total : 5642221 time to create 1 rle with new method : 0.8492169380187988 time for calcul the mask position with numpy : 0.028264284133911133 nb_pixel_total : 25586 time to create 1 rle with old method : 0.02844095230102539 time for calcul the mask position with numpy : 0.029124021530151367 nb_pixel_total : 101273 time to create 1 rle with old method : 0.11262011528015137 time for calcul the mask position with numpy : 0.02892780303955078 nb_pixel_total : 113341 time to create 1 rle with old method : 0.1491694450378418 time for calcul the mask position with numpy : 0.029398202896118164 nb_pixel_total : 128853 time to create 1 rle with old method : 0.14000988006591797 time for calcul the mask position with numpy : 0.027474403381347656 nb_pixel_total : 21496 time to create 1 rle with old method : 0.024240493774414062 time for calcul the mask position with numpy : 0.029624223709106445 nb_pixel_total : 13228 time to create 1 rle with old method : 0.014723062515258789 time for calcul the mask position with numpy : 0.029494285583496094 nb_pixel_total : 7628 time to create 1 rle with old method : 0.00848698616027832 time for calcul the mask position with numpy : 0.02896714210510254 nb_pixel_total : 102276 time to create 1 rle with old method : 0.11264491081237793 time for calcul the mask position with numpy : 0.028803348541259766 nb_pixel_total : 43158 time to create 1 rle with old method : 0.04776501655578613 time for calcul the mask position with numpy : 0.029113292694091797 nb_pixel_total : 86522 time to create 1 rle with old method : 0.12173056602478027 time for calcul the mask position with numpy : 0.028200864791870117 nb_pixel_total : 34267 time to create 1 rle with old method : 0.0372922420501709 time for calcul the mask position with numpy : 0.02790522575378418 nb_pixel_total : 17232 time to create 1 rle with old method : 0.018805503845214844 time for calcul the mask position with numpy : 0.028064250946044922 nb_pixel_total : 14971 time to create 1 rle with old method : 0.016339778900146484 time for calcul the mask position with numpy : 0.02824997901916504 nb_pixel_total : 37805 time to create 1 rle with old method : 0.04040932655334473 time for calcul the mask position with numpy : 0.028232574462890625 nb_pixel_total : 12152 time to create 1 rle with old method : 0.01329660415649414 time for calcul the mask position with numpy : 0.028365135192871094 nb_pixel_total : 17378 time to create 1 rle with old method : 0.019200563430786133 time for calcul the mask position with numpy : 0.028256654739379883 nb_pixel_total : 15754 time to create 1 rle with old method : 0.01737499237060547 time for calcul the mask position with numpy : 0.028569936752319336 nb_pixel_total : 36713 time to create 1 rle with old method : 0.039563894271850586 time for calcul the mask position with numpy : 0.028168201446533203 nb_pixel_total : 33520 time to create 1 rle with old method : 0.03577566146850586 time for calcul the mask position with numpy : 0.02740764617919922 nb_pixel_total : 48739 time to create 1 rle with old method : 0.052581071853637695 time for calcul the mask position with numpy : 0.027466535568237305 nb_pixel_total : 24161 time to create 1 rle with old method : 0.025249958038330078 time for calcul the mask position with numpy : 0.026132822036743164 nb_pixel_total : 72698 time to create 1 rle with old method : 0.0761408805847168 time for calcul the mask position with numpy : 0.027550697326660156 nb_pixel_total : 45336 time to create 1 rle with old method : 0.04795241355895996 time for calcul the mask position with numpy : 0.028120040893554688 nb_pixel_total : 50181 time to create 1 rle with old method : 0.05267667770385742 time for calcul the mask position with numpy : 0.02826404571533203 nb_pixel_total : 23808 time to create 1 rle with old method : 0.02638983726501465 time for calcul the mask position with numpy : 0.027950763702392578 nb_pixel_total : 27524 time to create 1 rle with old method : 0.028950214385986328 time for calcul the mask position with numpy : 0.028411388397216797 nb_pixel_total : 16565 time to create 1 rle with old method : 0.018090248107910156 time for calcul the mask position with numpy : 0.0283355712890625 nb_pixel_total : 20585 time to create 1 rle with old method : 0.021978139877319336 time for calcul the mask position with numpy : 0.02739882469177246 nb_pixel_total : 7377 time to create 1 rle with old method : 0.007929801940917969 time for calcul the mask position with numpy : 0.027376890182495117 nb_pixel_total : 40312 time to create 1 rle with old method : 0.04378008842468262 time for calcul the mask position with numpy : 0.028159379959106445 nb_pixel_total : 20994 time to create 1 rle with old method : 0.023027896881103516 time for calcul the mask position with numpy : 0.027776002883911133 nb_pixel_total : 13446 time to create 1 rle with old method : 0.014736413955688477 time for calcul the mask position with numpy : 0.02817392349243164 nb_pixel_total : 11888 time to create 1 rle with old method : 0.01301431655883789 time for calcul the mask position with numpy : 0.027088642120361328 nb_pixel_total : 17232 time to create 1 rle with old method : 0.018210172653198242 time for calcul the mask position with numpy : 0.028337955474853516 nb_pixel_total : 66012 time to create 1 rle with old method : 0.07082200050354004 time for calcul the mask position with numpy : 0.02730727195739746 nb_pixel_total : 21727 time to create 1 rle with old method : 0.023224592208862305 time for calcul the mask position with numpy : 0.028248071670532227 nb_pixel_total : 16281 time to create 1 rle with old method : 0.01765751838684082 create new chi : 4.536631107330322 time to delete rle : 0.0028734207153320312 batch 1 Loaded 75 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 1.811814785003662 nb_obj : 37 nb_hashtags : 4 time to prepare the origin masks : 7.165119409561157 time for calcul the mask position with numpy : 0.9395308494567871 nb_pixel_total : 5870824 time to create 1 rle with new method : 1.0075457096099854 time for calcul the mask position with numpy : 0.029675006866455078 nb_pixel_total : 64635 time to create 1 rle with old method : 0.07345962524414062 time for calcul the mask position with numpy : 0.028795480728149414 nb_pixel_total : 64199 time to create 1 rle with old method : 0.07204914093017578 time for calcul the mask position with numpy : 0.028969764709472656 nb_pixel_total : 7349 time to create 1 rle with old method : 0.008149862289428711 time for calcul the mask position with numpy : 0.028599262237548828 nb_pixel_total : 35941 time to create 1 rle with old method : 0.039801836013793945 time for calcul the mask position with numpy : 0.029198408126831055 nb_pixel_total : 78637 time to create 1 rle with old method : 0.08478212356567383 time for calcul the mask position with numpy : 0.02768111228942871 nb_pixel_total : 118157 time to create 1 rle with old method : 0.12796926498413086 time for calcul the mask position with numpy : 0.028171539306640625 nb_pixel_total : 38362 time to create 1 rle with old method : 0.04139852523803711 time for calcul the mask position with numpy : 0.029932260513305664 nb_pixel_total : 9080 time to create 1 rle with old method : 0.010738134384155273 time for calcul the mask position with numpy : 0.03313803672790527 nb_pixel_total : 17598 time to create 1 rle with old method : 0.02150416374206543 time for calcul the mask position with numpy : 0.028254032135009766 nb_pixel_total : 38477 time to create 1 rle with old method : 0.04574418067932129 time for calcul the mask position with numpy : 0.033356666564941406 nb_pixel_total : 13947 time to create 1 rle with old method : 0.022953510284423828 time for calcul the mask position with numpy : 0.032231807708740234 nb_pixel_total : 15979 time to create 1 rle with old method : 0.017578601837158203 time for calcul the mask position with numpy : 0.027962207794189453 nb_pixel_total : 9958 time to create 1 rle with old method : 0.011474609375 time for calcul the mask position with numpy : 0.02779865264892578 nb_pixel_total : 14289 time to create 1 rle with old method : 0.015522003173828125 time for calcul the mask position with numpy : 0.029421329498291016 nb_pixel_total : 36647 time to create 1 rle with old method : 0.040087223052978516 time for calcul the mask position with numpy : 0.02941274642944336 nb_pixel_total : 1994 time to create 1 rle with old method : 0.002571582794189453 time for calcul the mask position with numpy : 0.02865004539489746 nb_pixel_total : 64367 time to create 1 rle with old method : 0.07094597816467285 time for calcul the mask position with numpy : 0.02893853187561035 nb_pixel_total : 89945 time to create 1 rle with old method : 0.10309958457946777 time for calcul the mask position with numpy : 0.028881311416625977 nb_pixel_total : 23008 time to create 1 rle with old method : 0.02489304542541504 time for calcul the mask position with numpy : 0.028037071228027344 nb_pixel_total : 13877 time to create 1 rle with old method : 0.017244577407836914 time for calcul the mask position with numpy : 0.03139352798461914 nb_pixel_total : 31613 time to create 1 rle with old method : 0.037058115005493164 time for calcul the mask position with numpy : 0.028145790100097656 nb_pixel_total : 67576 time to create 1 rle with old method : 0.07210063934326172 time for calcul the mask position with numpy : 0.027774810791015625 nb_pixel_total : 46991 time to create 1 rle with old method : 0.05104207992553711 time for calcul the mask position with numpy : 0.028440475463867188 nb_pixel_total : 11934 time to create 1 rle with old method : 0.012982845306396484 time for calcul the mask position with numpy : 0.02796649932861328 nb_pixel_total : 4245 time to create 1 rle with old method : 0.004500865936279297 time for calcul the mask position with numpy : 0.027451753616333008 nb_pixel_total : 16865 time to create 1 rle with old method : 0.018210172653198242 time for calcul the mask position with numpy : 0.02714824676513672 nb_pixel_total : 21136 time to create 1 rle with old method : 0.022841215133666992 time for calcul the mask position with numpy : 0.028052806854248047 nb_pixel_total : 7315 time to create 1 rle with old method : 0.008171796798706055 time for calcul the mask position with numpy : 0.028311729431152344 nb_pixel_total : 9450 time to create 1 rle with old method : 0.01044917106628418 time for calcul the mask position with numpy : 0.02881908416748047 nb_pixel_total : 30798 time to create 1 rle with old method : 0.03614449501037598 time for calcul the mask position with numpy : 0.036875009536743164 nb_pixel_total : 22927 time to create 1 rle with old method : 0.034509897232055664 time for calcul the mask position with numpy : 0.03077411651611328 nb_pixel_total : 42691 time to create 1 rle with old method : 0.04771089553833008 time for calcul the mask position with numpy : 0.029062986373901367 nb_pixel_total : 24767 time to create 1 rle with old method : 0.02785468101501465 time for calcul the mask position with numpy : 0.02934861183166504 nb_pixel_total : 10139 time to create 1 rle with old method : 0.011761188507080078 time for calcul the mask position with numpy : 0.029508113861083984 nb_pixel_total : 65271 time to create 1 rle with old method : 0.06769394874572754 time for calcul the mask position with numpy : 0.026407718658447266 nb_pixel_total : 9252 time to create 1 rle with old method : 0.009495019912719727 create new chi : 4.390209197998047 time to delete rle : 0.002686738967895508 batch 1 Loaded 74 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 1.6881022453308105 nb_obj : 26 nb_hashtags : 5 time to prepare the origin masks : 7.364158391952515 time for calcul the mask position with numpy : 0.7807497978210449 nb_pixel_total : 6418394 time to create 1 rle with new method : 1.27359938621521 time for calcul the mask position with numpy : 0.02626800537109375 nb_pixel_total : 9884 time to create 1 rle with old method : 0.010309696197509766 time for calcul the mask position with numpy : 0.026668071746826172 nb_pixel_total : 6459 time to create 1 rle with old method : 0.006926536560058594 time for calcul the mask position with numpy : 0.026697874069213867 nb_pixel_total : 21153 time to create 1 rle with old method : 0.02190375328063965 time for calcul the mask position with numpy : 0.027074813842773438 nb_pixel_total : 76021 time to create 1 rle with old method : 0.07674694061279297 time for calcul the mask position with numpy : 0.026408672332763672 nb_pixel_total : 20026 time to create 1 rle with old method : 0.02049112319946289 time for calcul the mask position with numpy : 0.026644468307495117 nb_pixel_total : 11295 time to create 1 rle with old method : 0.011816024780273438 time for calcul the mask position with numpy : 0.026380062103271484 nb_pixel_total : 22563 time to create 1 rle with old method : 0.022826671600341797 time for calcul the mask position with numpy : 0.02677297592163086 nb_pixel_total : 16210 time to create 1 rle with old method : 0.0167694091796875 time for calcul the mask position with numpy : 0.026253461837768555 nb_pixel_total : 19809 time to create 1 rle with old method : 0.02110886573791504 time for calcul the mask position with numpy : 0.028868913650512695 nb_pixel_total : 44620 time to create 1 rle with old method : 0.04941129684448242 time for calcul the mask position with numpy : 0.02845621109008789 nb_pixel_total : 14738 time to create 1 rle with old method : 0.01638340950012207 time for calcul the mask position with numpy : 0.027549028396606445 nb_pixel_total : 39167 time to create 1 rle with old method : 0.04106569290161133 time for calcul the mask position with numpy : 0.027823209762573242 nb_pixel_total : 24026 time to create 1 rle with old method : 0.02782607078552246 time for calcul the mask position with numpy : 0.027931690216064453 nb_pixel_total : 51084 time to create 1 rle with old method : 0.05563044548034668 time for calcul the mask position with numpy : 0.029404640197753906 nb_pixel_total : 79042 time to create 1 rle with old method : 0.0833895206451416 time for calcul the mask position with numpy : 0.027482032775878906 nb_pixel_total : 17557 time to create 1 rle with old method : 0.019032716751098633 time for calcul the mask position with numpy : 0.0276796817779541 nb_pixel_total : 15470 time to create 1 rle with old method : 0.016829967498779297 time for calcul the mask position with numpy : 0.027344465255737305 nb_pixel_total : 5831 time to create 1 rle with old method : 0.006326436996459961 time for calcul the mask position with numpy : 0.027662038803100586 nb_pixel_total : 18339 time to create 1 rle with old method : 0.020006656646728516 time for calcul the mask position with numpy : 0.02766275405883789 nb_pixel_total : 26689 time to create 1 rle with old method : 0.029349327087402344 time for calcul the mask position with numpy : 0.02808403968811035 nb_pixel_total : 32117 time to create 1 rle with old method : 0.03413534164428711 time for calcul the mask position with numpy : 0.027637481689453125 nb_pixel_total : 33346 time to create 1 rle with old method : 0.03552103042602539 time for calcul the mask position with numpy : 0.027302265167236328 nb_pixel_total : 11764 time to create 1 rle with old method : 0.012373924255371094 time for calcul the mask position with numpy : 0.026807546615600586 nb_pixel_total : 6222 time to create 1 rle with old method : 0.006438255310058594 time for calcul the mask position with numpy : 0.02674078941345215 nb_pixel_total : 8414 time to create 1 rle with old method : 0.008751869201660156 create new chi : 3.47065806388855 time to delete rle : 0.001821279525756836 batch 1 Loaded 51 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.4325122833251953 nb_obj : 34 nb_hashtags : 6 time to prepare the origin masks : 7.108485221862793 time for calcul the mask position with numpy : 1.444723129272461 nb_pixel_total : 5422145 time to create 1 rle with new method : 1.0983636379241943 time for calcul the mask position with numpy : 0.026416301727294922 nb_pixel_total : 20399 time to create 1 rle with old method : 0.02093195915222168 time for calcul the mask position with numpy : 0.02595829963684082 nb_pixel_total : 63524 time to create 1 rle with old method : 0.06333279609680176 time for calcul the mask position with numpy : 0.027173995971679688 nb_pixel_total : 249363 time to create 1 rle with new method : 1.338245153427124 time for calcul the mask position with numpy : 0.02787017822265625 nb_pixel_total : 173 time to create 1 rle with old method : 0.0005040168762207031 time for calcul the mask position with numpy : 0.02810382843017578 nb_pixel_total : 50334 time to create 1 rle with old method : 0.05241870880126953 time for calcul the mask position with numpy : 0.026213645935058594 nb_pixel_total : 32916 time to create 1 rle with old method : 0.033614397048950195 time for calcul the mask position with numpy : 0.026021957397460938 nb_pixel_total : 27352 time to create 1 rle with old method : 0.02799224853515625 time for calcul the mask position with numpy : 0.026221036911010742 nb_pixel_total : 336 time to create 1 rle with old method : 0.00036644935607910156 time for calcul the mask position with numpy : 0.02646350860595703 nb_pixel_total : 28877 time to create 1 rle with old method : 0.029215574264526367 time for calcul the mask position with numpy : 0.027103185653686523 nb_pixel_total : 143989 time to create 1 rle with old method : 0.14710164070129395 time for calcul the mask position with numpy : 0.02660393714904785 nb_pixel_total : 52876 time to create 1 rle with old method : 0.05377674102783203 time for calcul the mask position with numpy : 0.026527881622314453 nb_pixel_total : 10089 time to create 1 rle with old method : 0.010181903839111328 time for calcul the mask position with numpy : 0.02728867530822754 nb_pixel_total : 216736 time to create 1 rle with new method : 1.4937703609466553 time for calcul the mask position with numpy : 0.027347326278686523 nb_pixel_total : 2627 time to create 1 rle with old method : 0.0029358863830566406 time for calcul the mask position with numpy : 0.027458906173706055 nb_pixel_total : 15045 time to create 1 rle with old method : 0.015719890594482422 time for calcul the mask position with numpy : 0.028580188751220703 nb_pixel_total : 24221 time to create 1 rle with old method : 0.026657581329345703 time for calcul the mask position with numpy : 0.0305328369140625 nb_pixel_total : 19440 time to create 1 rle with old method : 0.023929357528686523 time for calcul the mask position with numpy : 0.02896738052368164 nb_pixel_total : 28029 time to create 1 rle with old method : 0.030983686447143555 time for calcul the mask position with numpy : 0.028911828994750977 nb_pixel_total : 22350 time to create 1 rle with old method : 0.025237560272216797 time for calcul the mask position with numpy : 0.030026912689208984 nb_pixel_total : 70964 time to create 1 rle with old method : 0.0751502513885498 time for calcul the mask position with numpy : 0.02779698371887207 nb_pixel_total : 13381 time to create 1 rle with old method : 0.014187097549438477 time for calcul the mask position with numpy : 0.027381181716918945 nb_pixel_total : 27976 time to create 1 rle with old method : 0.028988122940063477 time for calcul the mask position with numpy : 0.027121782302856445 nb_pixel_total : 31356 time to create 1 rle with old method : 0.03303027153015137 time for calcul the mask position with numpy : 0.026966571807861328 nb_pixel_total : 19582 time to create 1 rle with old method : 0.020067691802978516 time for calcul the mask position with numpy : 0.026561260223388672 nb_pixel_total : 51615 time to create 1 rle with old method : 0.05252790451049805 time for calcul the mask position with numpy : 0.026800870895385742 nb_pixel_total : 108551 time to create 1 rle with old method : 0.11281371116638184 time for calcul the mask position with numpy : 0.02734994888305664 nb_pixel_total : 90576 time to create 1 rle with old method : 0.09657549858093262 time for calcul the mask position with numpy : 0.03481793403625488 nb_pixel_total : 25041 time to create 1 rle with old method : 0.04120373725891113 time for calcul the mask position with numpy : 0.02819657325744629 nb_pixel_total : 52078 time to create 1 rle with old method : 0.055771827697753906 time for calcul the mask position with numpy : 0.027886390686035156 nb_pixel_total : 23748 time to create 1 rle with old method : 0.025218963623046875 time for calcul the mask position with numpy : 0.02761554718017578 nb_pixel_total : 39115 time to create 1 rle with old method : 0.04185748100280762 time for calcul the mask position with numpy : 0.028171777725219727 nb_pixel_total : 54493 time to create 1 rle with old method : 0.058782339096069336 time for calcul the mask position with numpy : 0.028561115264892578 nb_pixel_total : 10943 time to create 1 rle with old method : 0.01217508316040039 create new chi : 7.624974966049194 time to delete rle : 0.0027751922607421875 batch 1 Loaded 68 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 285 TO DO : save crop sub photo not yet done ! save time : 2.8695943355560303 nb_obj : 8 nb_hashtags : 5 time to prepare the origin masks : 10.017246723175049 time for calcul the mask position with numpy : 0.021576404571533203 nb_pixel_total : 117677 time to create 1 rle with old method : 0.12787985801696777 time for calcul the mask position with numpy : 0.022913455963134766 nb_pixel_total : 367804 time to create 1 rle with new method : 0.6750423908233643 time for calcul the mask position with numpy : 0.022375106811523438 nb_pixel_total : 33345 time to create 1 rle with old method : 0.03783774375915527 time for calcul the mask position with numpy : 0.02172255516052246 nb_pixel_total : 73835 time to create 1 rle with old method : 0.08206868171691895 time for calcul the mask position with numpy : 0.022431135177612305 nb_pixel_total : 47931 time to create 1 rle with old method : 0.06484317779541016 time for calcul the mask position with numpy : 0.022609710693359375 nb_pixel_total : 112216 time to create 1 rle with old method : 0.12560486793518066 time for calcul the mask position with numpy : 0.022548675537109375 nb_pixel_total : 15099 time to create 1 rle with old method : 0.017505407333374023 time for calcul the mask position with numpy : 0.8664097785949707 nb_pixel_total : 6282333 time to create 1 rle with new method : 0.891869068145752 create new chi : 3.1372978687286377 time to delete rle : 0.001251220703125 batch 1 Loaded 15 chid ids of type : 3594 ++++++++++Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.0976104736328125 nb_obj : 20 nb_hashtags : 5 time to prepare the origin masks : 7.865109920501709 time for calcul the mask position with numpy : 0.7785086631774902 nb_pixel_total : 4736288 time to create 1 rle with new method : 1.242630958557129 time for calcul the mask position with numpy : 0.033410072326660156 nb_pixel_total : 28090 time to create 1 rle with old method : 0.038639068603515625 time for calcul the mask position with numpy : 0.028966903686523438 nb_pixel_total : 10191 time to create 1 rle with old method : 0.011515140533447266 time for calcul the mask position with numpy : 0.029679298400878906 nb_pixel_total : 86989 time to create 1 rle with old method : 0.09642601013183594 time for calcul the mask position with numpy : 0.028605222702026367 nb_pixel_total : 111407 time to create 1 rle with old method : 0.1198275089263916 time for calcul the mask position with numpy : 0.02792191505432129 nb_pixel_total : 17246 time to create 1 rle with old method : 0.019164323806762695 time for calcul the mask position with numpy : 0.02962207794189453 nb_pixel_total : 257607 time to create 1 rle with new method : 0.6058485507965088 time for calcul the mask position with numpy : 0.027426719665527344 nb_pixel_total : 856 time to create 1 rle with old method : 0.0014295578002929688 time for calcul the mask position with numpy : 0.027747392654418945 nb_pixel_total : 72732 time to create 1 rle with old method : 0.10403752326965332 time for calcul the mask position with numpy : 0.029517650604248047 nb_pixel_total : 34084 time to create 1 rle with old method : 0.03777432441711426 time for calcul the mask position with numpy : 0.02917194366455078 nb_pixel_total : 310954 time to create 1 rle with new method : 1.1247212886810303 time for calcul the mask position with numpy : 0.03447914123535156 nb_pixel_total : 687169 time to create 1 rle with new method : 0.8917858600616455 time for calcul the mask position with numpy : 0.028664588928222656 nb_pixel_total : 358771 time to create 1 rle with new method : 0.5364742279052734 time for calcul the mask position with numpy : 0.02869415283203125 nb_pixel_total : 31075 time to create 1 rle with old method : 0.034174442291259766 time for calcul the mask position with numpy : 0.028993844985961914 nb_pixel_total : 26921 time to create 1 rle with old method : 0.033907413482666016 time for calcul the mask position with numpy : 0.028988361358642578 nb_pixel_total : 60861 time to create 1 rle with old method : 0.0661931037902832 time for calcul the mask position with numpy : 0.028276443481445312 nb_pixel_total : 10620 time to create 1 rle with old method : 0.011981964111328125 time for calcul the mask position with numpy : 0.0278627872467041 nb_pixel_total : 46564 time to create 1 rle with old method : 0.05028867721557617 time for calcul the mask position with numpy : 0.028815746307373047 nb_pixel_total : 69726 time to create 1 rle with old method : 0.07682156562805176 time for calcul the mask position with numpy : 0.029186248779296875 nb_pixel_total : 92089 time to create 1 rle with old method : 0.10083270072937012 create new chi : 6.709013938903809 time to delete rle : 0.003523111343383789 batch 1 Loaded 40 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++Number RLEs to save : 1050 TO DO : save crop sub photo not yet done ! save time : 3.9737141132354736 nb_obj : 25 nb_hashtags : 5 time to prepare the origin masks : 7.904771089553833 time for calcul the mask position with numpy : 0.5402641296386719 nb_pixel_total : 6038605 time to create 1 rle with new method : 1.1764001846313477 time for calcul the mask position with numpy : 0.029259204864501953 nb_pixel_total : 136669 time to create 1 rle with old method : 0.172745943069458 time for calcul the mask position with numpy : 0.028530359268188477 nb_pixel_total : 20712 time to create 1 rle with old method : 0.03294849395751953 time for calcul the mask position with numpy : 0.033017873764038086 nb_pixel_total : 16850 time to create 1 rle with old method : 0.026815414428710938 time for calcul the mask position with numpy : 0.03377985954284668 nb_pixel_total : 48039 time to create 1 rle with old method : 0.054883480072021484 time for calcul the mask position with numpy : 0.0281984806060791 nb_pixel_total : 47448 time to create 1 rle with old method : 0.05020427703857422 time for calcul the mask position with numpy : 0.02850031852722168 nb_pixel_total : 50595 time to create 1 rle with old method : 0.0549626350402832 time for calcul the mask position with numpy : 0.029382705688476562 nb_pixel_total : 109787 time to create 1 rle with old method : 0.11919689178466797 time for calcul the mask position with numpy : 0.028110980987548828 nb_pixel_total : 4726 time to create 1 rle with old method : 0.005268096923828125 time for calcul the mask position with numpy : 0.02912306785583496 nb_pixel_total : 35242 time to create 1 rle with old method : 0.03863048553466797 time for calcul the mask position with numpy : 0.029586076736450195 nb_pixel_total : 24985 time to create 1 rle with old method : 0.027832508087158203 time for calcul the mask position with numpy : 0.028756141662597656 nb_pixel_total : 21572 time to create 1 rle with old method : 0.02312302589416504 time for calcul the mask position with numpy : 0.02808547019958496 nb_pixel_total : 12453 time to create 1 rle with old method : 0.014057159423828125 time for calcul the mask position with numpy : 0.03014516830444336 nb_pixel_total : 97421 time to create 1 rle with old method : 0.1060028076171875 time for calcul the mask position with numpy : 0.029446125030517578 nb_pixel_total : 12111 time to create 1 rle with old method : 0.013623952865600586 time for calcul the mask position with numpy : 0.030244112014770508 nb_pixel_total : 77163 time to create 1 rle with old method : 0.08562612533569336 time for calcul the mask position with numpy : 0.029439210891723633 nb_pixel_total : 60563 time to create 1 rle with old method : 0.06684541702270508 time for calcul the mask position with numpy : 0.029356718063354492 nb_pixel_total : 60847 time to create 1 rle with old method : 0.06786656379699707 time for calcul the mask position with numpy : 0.029412508010864258 nb_pixel_total : 19319 time to create 1 rle with old method : 0.022053003311157227 time for calcul the mask position with numpy : 0.029596328735351562 nb_pixel_total : 30730 time to create 1 rle with old method : 0.03442978858947754 time for calcul the mask position with numpy : 0.029640913009643555 nb_pixel_total : 14087 time to create 1 rle with old method : 0.01601719856262207 time for calcul the mask position with numpy : 0.029452085494995117 nb_pixel_total : 60940 time to create 1 rle with old method : 0.06733107566833496 time for calcul the mask position with numpy : 0.02882671356201172 nb_pixel_total : 236 time to create 1 rle with old method : 0.0006105899810791016 time for calcul the mask position with numpy : 0.02921772003173828 nb_pixel_total : 31345 time to create 1 rle with old method : 0.034827232360839844 time for calcul the mask position with numpy : 0.02910161018371582 nb_pixel_total : 17795 time to create 1 rle with old method : 0.019985675811767578 create new chi : 3.64778208732605 time to delete rle : 0.004270076751708984 batch 1 Loaded 49 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++Number RLEs to save : 245 TO DO : save crop sub photo not yet done ! save time : 2.9899544715881348 nb_obj : 31 nb_hashtags : 4 time to prepare the origin masks : 7.2049736976623535 time for calcul the mask position with numpy : 1.5044925212860107 nb_pixel_total : 5820141 time to create 1 rle with new method : 2.1244149208068848 time for calcul the mask position with numpy : 0.02785944938659668 nb_pixel_total : 19280 time to create 1 rle with old method : 0.02086806297302246 time for calcul the mask position with numpy : 0.02747511863708496 nb_pixel_total : 32416 time to create 1 rle with old method : 0.033974647521972656 time for calcul the mask position with numpy : 0.02772068977355957 nb_pixel_total : 23549 time to create 1 rle with old method : 0.025496721267700195 time for calcul the mask position with numpy : 0.02771449089050293 nb_pixel_total : 8508 time to create 1 rle with old method : 0.008838891983032227 time for calcul the mask position with numpy : 0.026633262634277344 nb_pixel_total : 27138 time to create 1 rle with old method : 0.02956390380859375 time for calcul the mask position with numpy : 0.02768564224243164 nb_pixel_total : 73901 time to create 1 rle with old method : 0.07664990425109863 time for calcul the mask position with numpy : 0.02759695053100586 nb_pixel_total : 85811 time to create 1 rle with old method : 0.0921785831451416 time for calcul the mask position with numpy : 0.02866196632385254 nb_pixel_total : 3405 time to create 1 rle with old method : 0.0038750171661376953 time for calcul the mask position with numpy : 0.0279693603515625 nb_pixel_total : 12089 time to create 1 rle with old method : 0.013041496276855469 time for calcul the mask position with numpy : 0.028031349182128906 nb_pixel_total : 38071 time to create 1 rle with old method : 0.040221452713012695 time for calcul the mask position with numpy : 0.028403282165527344 nb_pixel_total : 64432 time to create 1 rle with old method : 0.06821727752685547 time for calcul the mask position with numpy : 0.028011083602905273 nb_pixel_total : 25936 time to create 1 rle with old method : 0.027715206146240234 time for calcul the mask position with numpy : 0.029092788696289062 nb_pixel_total : 26305 time to create 1 rle with old method : 0.02948307991027832 time for calcul the mask position with numpy : 0.028676271438598633 nb_pixel_total : 13683 time to create 1 rle with old method : 0.016000986099243164 time for calcul the mask position with numpy : 0.030474424362182617 nb_pixel_total : 24197 time to create 1 rle with old method : 0.02704787254333496 time for calcul the mask position with numpy : 0.02957940101623535 nb_pixel_total : 74163 time to create 1 rle with old method : 0.08267331123352051 time for calcul the mask position with numpy : 0.030118465423583984 nb_pixel_total : 108168 time to create 1 rle with old method : 0.11616635322570801 time for calcul the mask position with numpy : 0.029320240020751953 nb_pixel_total : 50862 time to create 1 rle with old method : 0.05655622482299805 time for calcul the mask position with numpy : 0.0294950008392334 nb_pixel_total : 23324 time to create 1 rle with old method : 0.025739192962646484 time for calcul the mask position with numpy : 0.028574228286743164 nb_pixel_total : 32490 time to create 1 rle with old method : 0.03521418571472168 time for calcul the mask position with numpy : 0.029367923736572266 nb_pixel_total : 126099 time to create 1 rle with old method : 0.14424800872802734 time for calcul the mask position with numpy : 0.033173561096191406 nb_pixel_total : 30565 time to create 1 rle with old method : 0.05068206787109375 time for calcul the mask position with numpy : 0.0376276969909668 nb_pixel_total : 83177 time to create 1 rle with old method : 0.09792494773864746 time for calcul the mask position with numpy : 0.028377056121826172 nb_pixel_total : 17729 time to create 1 rle with old method : 0.019629716873168945 time for calcul the mask position with numpy : 0.02913188934326172 nb_pixel_total : 85535 time to create 1 rle with old method : 0.09281134605407715 time for calcul the mask position with numpy : 0.02863478660583496 nb_pixel_total : 43603 time to create 1 rle with old method : 0.04748177528381348 time for calcul the mask position with numpy : 0.02852153778076172 nb_pixel_total : 41702 time to create 1 rle with old method : 0.04553842544555664 time for calcul the mask position with numpy : 0.028232574462890625 nb_pixel_total : 17043 time to create 1 rle with old method : 0.019143342971801758 time for calcul the mask position with numpy : 0.02933192253112793 nb_pixel_total : 7243 time to create 1 rle with old method : 0.00988006591796875 time for calcul the mask position with numpy : 0.028784513473510742 nb_pixel_total : 9675 time to create 1 rle with old method : 0.010596513748168945 create new chi : 5.928217649459839 time to delete rle : 0.0029480457305908203 batch 1 Loaded 62 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0 TO DO : save crop sub photo not yet done ! save time : 0.19128108024597168 nb_obj : 24 nb_hashtags : 4 time to prepare the origin masks : 7.36232328414917 time for calcul the mask position with numpy : 0.5808250904083252 nb_pixel_total : 5851852 time to create 1 rle with new method : 0.9249045848846436 time for calcul the mask position with numpy : 0.030818700790405273 nb_pixel_total : 63291 time to create 1 rle with old method : 0.07147383689880371 time for calcul the mask position with numpy : 0.029377460479736328 nb_pixel_total : 5188 time to create 1 rle with old method : 0.005925416946411133 time for calcul the mask position with numpy : 0.029547929763793945 nb_pixel_total : 113588 time to create 1 rle with old method : 0.12742233276367188 time for calcul the mask position with numpy : 0.029049158096313477 nb_pixel_total : 9210 time to create 1 rle with old method : 0.010385990142822266 time for calcul the mask position with numpy : 0.02900218963623047 nb_pixel_total : 22640 time to create 1 rle with old method : 0.02503371238708496 time for calcul the mask position with numpy : 0.02924036979675293 nb_pixel_total : 23449 time to create 1 rle with old method : 0.026186466217041016 time for calcul the mask position with numpy : 0.029346942901611328 nb_pixel_total : 27013 time to create 1 rle with old method : 0.030199289321899414 time for calcul the mask position with numpy : 0.029394865036010742 nb_pixel_total : 41673 time to create 1 rle with old method : 0.04722738265991211 time for calcul the mask position with numpy : 0.029599428176879883 nb_pixel_total : 51903 time to create 1 rle with old method : 0.062293052673339844 time for calcul the mask position with numpy : 0.030689239501953125 nb_pixel_total : 24102 time to create 1 rle with old method : 0.03107595443725586 time for calcul the mask position with numpy : 0.03199005126953125 nb_pixel_total : 17520 time to create 1 rle with old method : 0.020269393920898438 time for calcul the mask position with numpy : 0.03066539764404297 nb_pixel_total : 202998 time to create 1 rle with new method : 0.5042035579681396 time for calcul the mask position with numpy : 0.03154897689819336 nb_pixel_total : 64610 time to create 1 rle with old method : 0.07474279403686523 time for calcul the mask position with numpy : 0.03216052055358887 nb_pixel_total : 15721 time to create 1 rle with old method : 0.021029233932495117 time for calcul the mask position with numpy : 0.03268027305603027 nb_pixel_total : 21835 time to create 1 rle with old method : 0.026108264923095703 time for calcul the mask position with numpy : 0.02958989143371582 nb_pixel_total : 9066 time to create 1 rle with old method : 0.013174057006835938 time for calcul the mask position with numpy : 0.031035423278808594 nb_pixel_total : 222662 time to create 1 rle with new method : 1.252471685409546 time for calcul the mask position with numpy : 0.03181862831115723 nb_pixel_total : 51276 time to create 1 rle with old method : 0.08079743385314941 time for calcul the mask position with numpy : 0.031220674514770508 nb_pixel_total : 32997 time to create 1 rle with old method : 0.04255032539367676 time for calcul the mask position with numpy : 0.0311276912689209 nb_pixel_total : 96736 time to create 1 rle with old method : 0.14834165573120117 time for calcul the mask position with numpy : 0.029938936233520508 nb_pixel_total : 94 time to create 1 rle with old method : 0.00031948089599609375 time for calcul the mask position with numpy : 0.03127241134643555 nb_pixel_total : 68283 time to create 1 rle with old method : 0.08172178268432617 time for calcul the mask position with numpy : 0.02996540069580078 nb_pixel_total : 12533 time to create 1 rle with old method : 0.014132261276245117 create new chi : 5.041582345962524 time to delete rle : 0.0031371116638183594 batch 1 Loaded 47 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++Number RLEs to save : 63 TO DO : save crop sub photo not yet done ! save time : 0.8886024951934814 map_output_result : {1351339457: (0.0, 'Should be the crop_list due to order', 0), 1351339297: (0.0, 'Should be the crop_list due to order', 0), 1351339200: (0.0, 'Should be the crop_list due to order', 0), 1351339041: (0.0, 'Should be the crop_list due to order', 0), 1351338401: (0.0, 'Should be the crop_list due to order', 0), 1351338092: (0.0, 'Should be the crop_list due to order', 0), 1351337839: (0.0, 'Should be the crop_list due to order', 0), 1351251337: (0.0, 'Should be the crop_list due to order', 0), 1351251330: (0.0, 'Should be the crop_list due to order', 0), 1351251314: (0.0, 'Should be the crop_list due to order', 0), 1351251256: (0.0, 'Should be the crop_list due to order', 0), 1351251180: (0.0, 'Should be the crop_list due to order', 0), 1351251131: (0.0, 'Should be the crop_list due to order', 0), 1351249627: (0.0, 'Should be the crop_list due to order', 0), 1351249574: (0.0, 'Should be the crop_list due to order', 0), 1351249482: (0.0, 'Should be the crop_list due to order', 0), 1351249425: (0.0, 'Should be the crop_list due to order', 0), 1351249306: (0.0, 'Should be the crop_list due to order', 0), 1351248754: (0.0, 'Should be the crop_list due to order', 0), 1351248638: (0.0, 'Should be the crop_list due to order', 0), 1351248560: (0.0, 'Should be the crop_list due to order', 0), 1351248494: (0.0, 'Should be the crop_list due to order', 0), 1351248442: (0.0, 'Should be the crop_list due to order', 0), 1351248348: (0.0, 'Should be the crop_list due to order', 0), 1351248338: (0.0, 'Should be the crop_list due to order', 0), 1351248317: (0.0, 'Should be the crop_list due to order', 0), 1351248287: (0.0, 'Should be the crop_list due to order', 0), 1351248260: (0.0, 'Should be the crop_list due to order', 0)} End step rle-unique-nms Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : rle_unique_nms_with_priority we use saveGeneral [1351339457, 1351339297, 1351339200, 1351339041, 1351338401, 1351338092, 1351337839, 1351251337, 1351251330, 1351251314, 1351251256, 1351251180, 1351251131, 1351249627, 1351249574, 1351249482, 1351249425, 1351249306, 1351248754, 1351248638, 1351248560, 1351248494, 1351248442, 1351248348, 1351248338, 1351248317, 1351248287, 1351248260] Looping around the photos to save general results len do output : 28 /1351339457.Didn't retrieve data . /1351339297.Didn't retrieve data . /1351339200.Didn't retrieve data . /1351339041.Didn't retrieve data . /1351338401.Didn't retrieve data . /1351338092.Didn't retrieve data . /1351337839.Didn't retrieve data . /1351251337.Didn't retrieve data . /1351251330.Didn't retrieve data . /1351251314.Didn't retrieve data . /1351251256.Didn't retrieve data . /1351251180.Didn't retrieve data . /1351251131.Didn't retrieve data . /1351249627.Didn't retrieve data . /1351249574.Didn't retrieve data . /1351249482.Didn't retrieve data . /1351249425.Didn't retrieve data . /1351249306.Didn't retrieve data . /1351248754.Didn't retrieve data . /1351248638.Didn't retrieve data . /1351248560.Didn't retrieve data . /1351248494.Didn't retrieve data . /1351248442.Didn't retrieve data . /1351248348.Didn't retrieve data . /1351248338.Didn't retrieve data . /1351248317.Didn't retrieve data . /1351248287.Didn't retrieve data . /1351248260.Didn't retrieve data . before output type Used above Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339457', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339297', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339200', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339041', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351338401', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351338092', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351337839', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251337', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251330', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251314', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251256', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251180', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251131', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249627', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249574', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249482', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249425', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249306', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248754', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248638', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248560', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248494', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248442', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248348', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248338', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248317', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248287', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248260', None, None, None, None, None, '2741589') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 84 time used for this insertion : 0.017184734344482422 save_final save missing photos in datou_result : time spend for datou_step_exec : 689.7017049789429 time spend to save output : 0.01822948455810547 total time spend for step 3 : 689.719934463501 step4:ventilate_hashtags_in_portfolio Fri Apr 11 01:01:09 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure beginning of datou step ventilate_hashtags_in_portfolio : To implement ! Iterating over portfolio : 22246530 get user id for portfolio 22246530 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22246530 AND mptpi.`type`=3594 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('background','pet_fonce','mal_croppe','metal','pehd','carton','environnement','pet_clair','papier','autre','flou')) AND mptpi.`min_score`=0.5 To do To do SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22246530 AND mptpi.`type`=3594 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('background','pet_fonce','mal_croppe','metal','pehd','carton','environnement','pet_clair','papier','autre','flou')) AND mptpi.`min_score`=0.5 To do To do ! Use context local managing function ! SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22246530 AND mptpi.`type`=3594 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('background','pet_fonce','mal_croppe','metal','pehd','carton','environnement','pet_clair','papier','autre','flou')) AND mptpi.`min_score`=0.5 To do lien utilise dans velours : https://www.fotonower.com/velours/22247236,22247237,22247238,22247239,22247240,22247241,22247242,22247243,22247244,22247245,22247246?tags=background,pet_fonce,mal_croppe,metal,pehd,carton,environnement,pet_clair,papier,autre,flou Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral [1351339457, 1351339297, 1351339200, 1351339041, 1351338401, 1351338092, 1351337839, 1351251337, 1351251330, 1351251314, 1351251256, 1351251180, 1351251131, 1351249627, 1351249574, 1351249482, 1351249425, 1351249306, 1351248754, 1351248638, 1351248560, 1351248494, 1351248442, 1351248348, 1351248338, 1351248317, 1351248287, 1351248260] Looping around the photos to save general results len do output : 1 /22246530. before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339457', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339297', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339200', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339041', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351338401', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351338092', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351337839', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251337', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251330', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251314', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251256', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251180', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251131', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249627', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249574', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249482', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249425', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249306', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248754', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248638', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248560', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248494', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248442', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248348', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248338', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248317', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248287', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248260', None, None, None, None, None, '2741589') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 29 time used for this insertion : 0.050553083419799805 save_final save missing photos in datou_result : time spend for datou_step_exec : 4.214742183685303 time spend to save output : 0.05101180076599121 total time spend for step 4 : 4.265753984451294 step5:final Fri Apr 11 01:01:13 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! complete output_args for input 2 VR 22-3-18 : For now we do not clean correctly the datou structure Beginning of datou step final ! Catched exception ! Connect or reconnect ! Inside saveOutput : final : False verbose : 0 original output for save of step final : {1351339457: ('0.18220796130952377',), 1351339297: ('0.18220796130952377',), 1351339200: ('0.18220796130952377',), 1351339041: ('0.18220796130952377',), 1351338401: ('0.18220796130952377',), 1351338092: ('0.18220796130952377',), 1351337839: ('0.18220796130952377',), 1351251337: ('0.18220796130952377',), 1351251330: ('0.18220796130952377',), 1351251314: ('0.18220796130952377',), 1351251256: ('0.18220796130952377',), 1351251180: ('0.18220796130952377',), 1351251131: ('0.18220796130952377',), 1351249627: ('0.18220796130952377',), 1351249574: ('0.18220796130952377',), 1351249482: ('0.18220796130952377',), 1351249425: ('0.18220796130952377',), 1351249306: ('0.18220796130952377',), 1351248754: ('0.18220796130952377',), 1351248638: ('0.18220796130952377',), 1351248560: ('0.18220796130952377',), 1351248494: ('0.18220796130952377',), 1351248442: ('0.18220796130952377',), 1351248348: ('0.18220796130952377',), 1351248338: ('0.18220796130952377',), 1351248317: ('0.18220796130952377',), 1351248287: ('0.18220796130952377',), 1351248260: ('0.18220796130952377',)} new output for save of step final : {1351339457: ('0.18220796130952377',), 1351339297: ('0.18220796130952377',), 1351339200: ('0.18220796130952377',), 1351339041: ('0.18220796130952377',), 1351338401: ('0.18220796130952377',), 1351338092: ('0.18220796130952377',), 1351337839: ('0.18220796130952377',), 1351251337: ('0.18220796130952377',), 1351251330: ('0.18220796130952377',), 1351251314: ('0.18220796130952377',), 1351251256: ('0.18220796130952377',), 1351251180: ('0.18220796130952377',), 1351251131: ('0.18220796130952377',), 1351249627: ('0.18220796130952377',), 1351249574: ('0.18220796130952377',), 1351249482: ('0.18220796130952377',), 1351249425: ('0.18220796130952377',), 1351249306: ('0.18220796130952377',), 1351248754: ('0.18220796130952377',), 1351248638: ('0.18220796130952377',), 1351248560: ('0.18220796130952377',), 1351248494: ('0.18220796130952377',), 1351248442: ('0.18220796130952377',), 1351248348: ('0.18220796130952377',), 1351248338: ('0.18220796130952377',), 1351248317: ('0.18220796130952377',), 1351248287: ('0.18220796130952377',), 1351248260: ('0.18220796130952377',)} [1351339457, 1351339297, 1351339200, 1351339041, 1351338401, 1351338092, 1351337839, 1351251337, 1351251330, 1351251314, 1351251256, 1351251180, 1351251131, 1351249627, 1351249574, 1351249482, 1351249425, 1351249306, 1351248754, 1351248638, 1351248560, 1351248494, 1351248442, 1351248348, 1351248338, 1351248317, 1351248287, 1351248260] Looping around the photos to save general results len do output : 28 /1351339457.Didn't retrieve data . /1351339297.Didn't retrieve data . /1351339200.Didn't retrieve data . /1351339041.Didn't retrieve data . /1351338401.Didn't retrieve data . /1351338092.Didn't retrieve data . /1351337839.Didn't retrieve data . /1351251337.Didn't retrieve data . /1351251330.Didn't retrieve data . /1351251314.Didn't retrieve data . /1351251256.Didn't retrieve data . /1351251180.Didn't retrieve data . /1351251131.Didn't retrieve data . /1351249627.Didn't retrieve data . /1351249574.Didn't retrieve data . /1351249482.Didn't retrieve data . /1351249425.Didn't retrieve data . /1351249306.Didn't retrieve data . /1351248754.Didn't retrieve data . /1351248638.Didn't retrieve data . /1351248560.Didn't retrieve data . /1351248494.Didn't retrieve data . /1351248442.Didn't retrieve data . /1351248348.Didn't retrieve data . /1351248338.Didn't retrieve data . /1351248317.Didn't retrieve data . /1351248287.Didn't retrieve data . /1351248260.Didn't retrieve data . before output type Used above Used above Managing all output in save final without adding information in the mtr_datou_result ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339457', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339297', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339200', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339041', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351338401', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351338092', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351337839', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251337', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251330', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251314', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251256', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251180', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251131', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249627', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249574', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249482', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249425', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249306', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248754', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248638', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248560', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248494', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248442', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248348', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248338', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248317', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248287', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248260', None, None, None, None, None, '2741589') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 84 time used for this insertion : 0.038620710372924805 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.12798476219177246 time spend to save output : 0.040128469467163086 total time spend for step 5 : 0.16811323165893555 step6:blur_detection Fri Apr 11 01:01:13 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure inside step blur_detection methode: ratio et variance treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916.jpg resize: (2160, 3264) 1351339457 -4.3638992019890726 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5.jpg resize: (2160, 3264) 1351339297 -6.7943857605349 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609.jpg resize: (2160, 3264) 1351339200 -6.9470176458352055 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa.jpg resize: (2160, 3264) 1351339041 -6.530648512928744 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d.jpg resize: (2160, 3264) 1351338401 -4.974153855628294 treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc.jpg resize: (2160, 3264) 1351338092 0.1448617174520356 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148.jpg resize: (2160, 3264) 1351337839 -1.0192036220870344 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d.jpg resize: (2160, 3264) 1351251337 -4.63677878081559 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d.jpg resize: (2160, 3264) 1351251330 -3.0053056651477412 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3.jpg resize: (2160, 3264) 1351251314 -3.3300785129842567 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30.jpg resize: (2160, 3264) 1351251256 -3.898102964132435 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f.jpg resize: (2160, 3264) 1351251180 -5.145452669457413 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3.jpg resize: (2160, 3264) 1351251131 -4.185546767809197 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889.jpg resize: (2160, 3264) 1351249627 -4.472243552853286 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7.jpg resize: (2160, 3264) 1351249574 -6.293042113029406 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c.jpg resize: (2160, 3264) 1351249482 -5.102771528330681 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea.jpg resize: (2160, 3264) 1351249425 -2.831332048086933 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175.jpg resize: (2160, 3264) 1351249306 -3.908053791623616 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f.jpg resize: (2160, 3264) 1351248754 -6.974862725578132 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99.jpg resize: (2160, 3264) 1351248638 -7.037620161139522 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad.jpg resize: (2160, 3264) 1351248560 -7.005359881603612 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80.jpg resize: (2160, 3264) 1351248494 -5.217097783326643 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e.jpg resize: (2160, 3264) 1351248442 -2.579040239087499 treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7.jpg resize: (2160, 3264) 1351248348 -3.4404987755845644 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22.jpg resize: (2160, 3264) 1351248338 -0.3452347030216265 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a.jpg resize: (2160, 3264) 1351248317 -3.371459960133433 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f.jpg resize: (2160, 3264) 1351248287 -4.648891482535421 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337.jpg resize: (2160, 3264) 1351248260 -2.6558229839792338 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471835_0.png resize: (178, 182) 1351378101 -1.8493389309031956 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471840_0.png resize: (381, 396) 1351378102 -2.887434479617115 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471844_0.png resize: (175, 134) 1351378103 -1.8676452159357033 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471869_0.png resize: (322, 370) 1351378107 -2.6898503013910036 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471839_0.png resize: (270, 141) 1351378108 -2.320516395060199 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471858_0.png resize: (70, 151) 1351378111 -0.037352022397104154 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471859_0.png resize: (162, 242) 1351378112 -2.8797541810423444 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471846_0.png resize: (207, 202) 1351378113 -1.979570292870677 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471871_0.png resize: (298, 510) 1351378115 -2.9438210832282556 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471872_0.png resize: (211, 96) 1351378116 -3.546112279657493 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471843_0.png resize: (86, 119) 1351378117 -1.771686068321686 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471845_0.png resize: (239, 150) 1351378118 -3.4655654895657966 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471855_0.png resize: (118, 78) 1351378120 -0.9033267492751975 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471867_0.png resize: (195, 257) 1351378121 -3.0823256415378837 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471838_0.png resize: (646, 716) 1351378123 -3.7933104118002734 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471862_0.png resize: (212, 111) 1351378124 -1.5386618511675576 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471864_0.png resize: (137, 188) 1351378125 -2.906652967647646 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471852_0.png resize: (219, 174) 1351378127 -1.6020080558900816 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471873_0.png resize: (174, 166) 1351378129 -1.8061016404277512 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471861_0.png resize: (172, 134) 1351378130 -1.9300712307302608 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471874_0.png resize: (265, 187) 1351378131 -2.228929041962652 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471866_0.png resize: (137, 159) 1351378133 -2.226839280249437 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471849_0.png resize: (376, 212) 1351378134 -2.7960886758631482 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471868_0.png resize: (220, 238) 1351378135 -2.701108929487412 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471876_0.png resize: (118, 110) 1351378137 0.23016277690731532 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471853_0.png resize: (216, 119) 1351378138 -2.83488801871313 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471836_0.png resize: (179, 84) 1351378139 -3.2240208037925155 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471860_0.png resize: (133, 88) 1351378140 -2.4563637930030944 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471890_0.png resize: (357, 288) 1351378142 -2.961953608327407 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471900_0.png resize: (231, 326) 1351378143 -4.410110990984906 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471895_0.png resize: (200, 153) 1351378153 -2.1350421134930917 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471880_0.png resize: (187, 280) 1351378157 -3.366105709330726 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471881_0.png resize: (187, 121) 1351378158 0.12943806288696222 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471925_0.png resize: (98, 270) 1351378162 -4.105202764101836 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471894_0.png resize: (349, 391) 1351378165 -3.778001585002457 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471887_0.png resize: (140, 136) 1351378167 -3.3143042149374966 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471883_0.png resize: (172, 174) 1351378169 -2.148667021490706 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471888_0.png resize: (172, 209) 1351378173 -5.033878183225158 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471903_0.png resize: (312, 321) 1351378174 -4.746651638418882 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471879_0.png resize: (156, 148) 1351378175 -2.2288146909460482 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471907_0.png resize: (89, 117) 1351378179 -2.5855440524871316 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471913_0.png resize: (140, 135) 1351378180 -1.9004250489884942 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471889_0.png resize: (280, 321) 1351378181 -4.280783316101274 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471885_0.png resize: (154, 89) 1351378183 -2.869671031174496 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471902_0.png resize: (205, 166) 1351378186 -3.8315805114853236 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471886_0.png resize: (247, 189) 1351378187 -1.3138955166454658 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471904_0.png resize: (198, 186) 1351378188 -3.124847517847432 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471908_0.png resize: (212, 307) 1351378191 -5.338226186605701 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471884_0.png resize: (99, 101) 1351378192 -2.509739804038278 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471923_0.png resize: (199, 272) 1351378196 -4.463154658182299 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471899_0.png resize: (107, 127) 1351378200 -3.7686817544631133 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471919_0.png resize: (157, 67) 1351378201 -2.2149821640238496 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471912_0.png resize: (73, 74) 1351378205 -4.207563989212095 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471924_0.png resize: (112, 99) 1351378206 -3.404409970703987 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471911_0.png resize: (189, 186) 1351378209 -6.457303435456216 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471909_0.png resize: (299, 115) 1351378210 -6.014367313920178 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471897_0.png resize: (163, 260) 1351378211 -5.089747734998851 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471922_0.png resize: (166, 150) 1351378212 -3.7611210801318204 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471891_0.png resize: (146, 106) 1351378215 -4.261133128547495 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471921_0.png resize: (260, 314) 1351378216 -2.80103372914184 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471882_0.png resize: (156, 92) 1351378217 -2.4230295330573717 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471914_0.png resize: (107, 103) 1351378220 -2.6052060769844116 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471898_0.png resize: (177, 144) 1351378221 -3.1293381523857153 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471896_0.png resize: (121, 87) 1351378222 -2.9858567963708325 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471893_0.png resize: (184, 209) 1351378224 -3.1706691229528805 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471915_0.png resize: (318, 82) 1351378226 -4.046003196122251 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471934_0.png resize: (364, 295) 1351378227 -2.8054895957109314 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471973_0.png resize: (379, 204) 1351378229 -2.668254977443596 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471965_0.png resize: (266, 373) 1351378231 -2.240107705098942 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471959_0.png resize: (223, 265) 1351378232 -3.429355476720868 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471941_0.png resize: (371, 352) 1351378233 -3.637822077047142 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471961_0.png resize: (252, 111) 1351378236 -3.244163574314865 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471942_0.png resize: (161, 170) 1351378237 -3.761815712648581 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471971_0.png resize: (200, 155) 1351378238 -2.088790660040226 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471938_0.png resize: (183, 281) 1351378240 -3.3410979443031663 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471947_0.png resize: (196, 178) 1351378242 -3.7324530911753997 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471946_0.png resize: (197, 128) 1351378243 -0.022638266982454525 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471967_0.png resize: (82, 94) 1351378245 -2.5737926086742804 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471930_0.png resize: (170, 170) 1351378247 -2.076170092496513 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471952_0.png resize: (338, 313) 1351378248 -3.7657652643599286 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471966_0.png resize: (264, 211) 1351378250 -4.882091778892319 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471983_0.png resize: (189, 172) 1351378252 -4.349768806281447 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471968_0.png resize: (175, 194) 1351378253 -4.657198972782869 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471955_0.png resize: (234, 229) 1351378255 -3.931387407638538 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471931_0.png resize: (159, 182) 1351378257 -3.3372797981332885 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471974_0.png resize: (135, 143) 1351378258 -2.1100100080384645 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471929_0.png resize: (261, 283) 1351378260 -4.1211121035888025 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471958_0.png resize: (145, 76) 1351378262 -2.1408541578736946 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471964_0.png resize: (198, 173) 1351378264 -4.065858191168799 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471985_0.png resize: (119, 161) 1351378265 -3.2199750234972306 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471943_0.png resize: (148, 91) 1351378267 -0.9836766674891804 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471953_0.png resize: (190, 192) 1351378269 -1.2749726928472334 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471988_0.png resize: (102, 139) 1351378270 -2.097881476017129 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471939_0.png resize: (149, 153) 1351378271 -2.5067606361839108 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471936_0.png resize: (252, 206) 1351378276 -2.888026150797484 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471977_0.png resize: (77, 142) 1351378277 -2.4163493435878287 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471960_0.png resize: (227, 318) 1351378278 -5.19856520507421 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471951_0.png resize: (284, 236) 1351378280 -4.260621133329674 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471978_0.png resize: (203, 255) 1351378282 -3.8744231335073005 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471954_0.png resize: (251, 228) 1351378283 -5.208775520544664 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471963_0.png resize: (228, 116) 1351378284 -4.2892462245485525 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471979_0.png resize: (228, 177) 1351378287 -2.340370204940197 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471975_0.png resize: (270, 105) 1351378288 -5.817936755313713 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471944_0.png resize: (223, 93) 1351378289 -4.809362278730267 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471982_0.png resize: (93, 69) 1351378291 -3.636424206018923 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471980_0.png resize: (202, 86) 1351378293 -4.522348406254467 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471928_0.png resize: (143, 250) 1351378294 -5.264926802012136 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471933_0.png resize: (181, 75) 1351378295 -2.019187724144347 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471969_0.png resize: (149, 103) 1351378298 -4.155482252522284 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471950_0.png resize: (166, 170) 1351378299 -4.382691723697099 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471932_0.png resize: (249, 349) 1351378300 -3.2451756162078085 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471956_0.png resize: (158, 99) 1351378302 -3.510713673549834 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471972_0.png resize: (75, 77) 1351378304 -3.564315523589939 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471935_0.png resize: (78, 116) 1351378305 -2.7781571179304283 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471949_0.png resize: (167, 153) 1351378307 -3.717139859576244 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471948_0.png resize: (121, 97) 1351378309 -3.9891805178014845 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471976_0.png resize: (68, 120) 1351378310 -3.1715130346871705 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471945_0.png resize: (90, 68) 1351378311 -1.2204641109053593 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471937_0.png resize: (203, 196) 1351378314 -2.977559960501606 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472026_0.png resize: (508, 704) 1351378315 -3.204388757424736 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472024_0.png resize: (157, 119) 1351378316 -3.08712817200113 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471993_0.png resize: (419, 260) 1351378318 -1.9726880485963147 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472008_0.png resize: (225, 191) 1351378320 -2.1540238247598023 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472027_0.png resize: (267, 237) 1351378321 -3.9536106892925003 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471997_0.png resize: (122, 138) 1351378323 -2.720385221677146 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472020_0.png resize: (472, 251) 1351378325 -4.140221510850037 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472001_0.png resize: (202, 222) 1351378326 -4.38729988443767 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472032_0.png resize: (554, 435) 1351378327 -5.298983201076289 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472030_0.png resize: (450, 214) 1351378330 -3.971799198773962 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472005_0.png resize: (122, 154) 1351378331 -3.0099928028930134 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472004_0.png resize: (321, 382) 1351378332 -4.892095020662733 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471999_0.png resize: (259, 211) 1351378335 -4.374020713971133 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472013_0.png resize: (118, 160) 1351378337 -3.8440730250896995 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472028_0.png resize: (175, 221) 1351378338 -3.5033022765526978 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471994_0.png resize: (100, 257) 1351378340 -3.96437257965111 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471992_0.png resize: (203, 209) 1351378342 -5.771570901109803 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472029_0.png resize: (153, 504) 1351378343 -4.157830610260973 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472022_0.png resize: (164, 204) 1351378344 -3.2076198832183564 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472006_0.png resize: (176, 159) 1351378346 -5.630281783463658 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472033_0.png resize: (120, 179) 1351378348 -4.908945992322805 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472003_0.png resize: (233, 141) 1351378349 -3.3409411011333785 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472017_0.png resize: (346, 369) 1351378351 -3.558636750864609 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471995_0.png resize: (104, 173) 1351378353 -3.71565198021237 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472025_0.png resize: (181, 282) 1351378354 -4.434120321987341 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472007_0.png resize: (100, 84) 1351378355 -4.102615590474952 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472023_0.png resize: (386, 335) 1351378357 -4.398516100051382 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472010_0.png resize: (74, 103) 1351378359 -2.815170199609582 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472012_0.png resize: (176, 177) 1351378360 -2.764774633841493 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472011_0.png resize: (168, 109) 1351378362 -3.244997802174687 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471998_0.png resize: (327, 124) 1351378364 -2.8960553039374752 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471991_0.png resize: (160, 105) 1351378365 -3.3064343591281844 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472044_0.png resize: (120, 90) 1351378366 -2.4391821746891442 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472047_0.png resize: (235, 256) 1351378368 -5.414412431247786 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472035_0.png resize: (169, 173) 1351378370 -3.715336162654207 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472041_0.png resize: (372, 449) 1351378371 -5.273632204043387 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472036_0.png resize: (277, 447) 1351378373 -4.879666180131421 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472048_0.png resize: (251, 298) 1351378375 -4.0887505818175125 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472046_0.png resize: (205, 171) 1351378376 -4.152671871457417 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472043_0.png resize: (95, 128) 1351378377 -3.6683152811512554 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472037_0.png resize: (105, 154) 1351378379 -1.6680241468808872 treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472051_0.png resize: (114, 95) 1351378381 -1.0243978373373899 treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472049_0.png resize: (174, 190) 1351378382 0.06454856357996967 treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472053_0.png resize: (235, 502) 1351378384 -1.1676121880201151 treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472050_0.png resize: (100, 137) 1351378386 0.7200972711099026 treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472054_0.png resize: (173, 234) 1351378387 3.0131477834107327 treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472058_0.png resize: (120, 127) 1351378388 2.5984976862535625 treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472052_0.png resize: (360, 453) 1351378390 0.08914835025415375 treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472057_0.png resize: (525, 807) 1351378392 -0.5608471496478215 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472070_0.png resize: (637, 404) 1351378393 -1.0909578358294911 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472067_0.png resize: (134, 70) 1351378395 -0.3132545837734221 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472063_0.png resize: (737, 719) 1351378397 -1.2561836534298556 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472065_0.png resize: (178, 201) 1351378398 -1.8558019625221385 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472066_0.png resize: (227, 168) 1351378400 -1.1290478504929753 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472073_0.png resize: (394, 631) 1351378402 -0.045600040302553206 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472064_0.png resize: (870, 1593) 1351378403 -1.0126628821553867 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472062_0.png resize: (216, 184) 1351378404 -1.4713155705294452 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472060_0.png resize: (618, 403) 1351378406 -1.6163442556668952 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472059_0.png resize: (301, 222) 1351378408 -3.3404651442133653 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472061_0.png resize: (260, 231) 1351378409 -2.448676277001621 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693937_0.png resize: (150, 159) 1351378411 -2.0900535752560865 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700241_0.png resize: (94, 143) 1351378413 -2.788661547153363 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693929_0.png resize: (277, 285) 1351378414 -2.561903142800498 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700242_0.png resize: (277, 285) 1351378417 -2.561903142800498 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693925_0.png resize: (181, 117) 1351378420 -1.9601312204829529 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700248_0.png resize: (181, 117) 1351378421 -1.9601312204829529 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693953_0.png resize: (238, 177) 1351378422 -2.4815175569040084 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700255_0.png resize: (238, 177) 1351378426 -2.4815175569040084 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693924_0.png resize: (138, 179) 1351378427 -1.0679513562292464 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700249_0.png resize: (138, 179) 1351378430 -1.0679513562292464 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693930_0.png resize: (691, 545) 1351378432 -3.324307722062974 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3755472074_0.png resize: (689, 545) 1351378434 -3.2722808861501687 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700256_0.png resize: (691, 545) 1351378435 -3.3460691321654705 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693940_0.png resize: (187, 85) 1351378437 -1.9021026392280573 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693920_0.png resize: (204, 293) 1351378439 -2.2943506893561145 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700261_0.png resize: (204, 293) 1351378440 -2.2943506893561145 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700276_0.png resize: (187, 85) 1351378443 -2.0971082983309093 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693954_0.png resize: (149, 139) 1351378444 -3.1387212739934442 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700270_0.png resize: (149, 136) 1351378445 -2.6436268626350103 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693926_0.png resize: (130, 159) 1351378448 -3.111867385286189 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700275_0.png resize: (130, 159) 1351378449 -3.111867385286189 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693934_0.png resize: (136, 93) 1351378450 -2.136952700125801 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700273_0.png resize: (136, 93) 1351378453 -2.136952700125801 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693944_0.png resize: (153, 130) 1351378454 -2.235327703473983 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700240_0.png resize: (76, 172) 1351378455 -1.068540043271304 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693939_0.png resize: (76, 172) 1351378457 -1.068540043271304 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700279_0.png resize: (153, 130) 1351378459 -2.235327703473983 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693952_0.png resize: (132, 100) 1351378461 -0.6907925390470281 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700259_0.png resize: (130, 100) 1351378463 -0.6163301765492261 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693932_0.png resize: (160, 159) 1351378465 -3.2840146525540845 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700274_0.png resize: (160, 159) 1351378467 -3.2840146525540845 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693941_0.png resize: (327, 249) 1351378472 -3.5539343033755126 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693955_0.png resize: (316, 361) 1351378473 -3.2420603744765977 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700245_0.png resize: (315, 361) 1351378475 -2.1328323055484564 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700244_0.png resize: (154, 232) 1351378478 -3.9120331284836336 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693936_0.png resize: (154, 232) 1351378479 -3.9120331284836336 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700269_0.png resize: (327, 249) 1351378480 -3.5539343033755126 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693950_0.png resize: (191, 201) 1351378484 -3.6610653782577325 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700265_0.png resize: (191, 201) 1351378486 -3.6610653782577325 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693956_0.png resize: (316, 283) 1351378487 -3.6009375264191563 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700267_0.png resize: (316, 283) 1351378489 -3.549389201942218 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693921_0.png resize: (85, 114) 1351378492 -1.5774044615784002 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700264_0.png resize: (85, 114) 1351378493 -1.5774044615784002 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693938_0.png resize: (145, 143) 1351378495 -3.52193915411829 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700268_0.png resize: (145, 143) 1351378498 -3.52193915411829 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693958_0.png resize: (155, 84) 1351378499 -2.0849837449482083 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700263_0.png resize: (155, 84) 1351378501 -2.0530801905494784 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693942_0.png resize: (111, 91) 1351378504 -1.5168545812001695 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3755472075_0.png resize: (112, 90) 1351378505 -1.4780185691133088 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693933_0.png resize: (222, 151) 1351378507 -3.003661526165698 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700262_0.png resize: (111, 91) 1351378510 -1.5168545812001695 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700272_0.png resize: (222, 151) 1351378511 -3.003661526165698 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693923_0.png resize: (252, 150) 1351378513 -2.528920278352046 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700260_0.png resize: (252, 150) 1351378516 -2.528920278352046 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700243_0.png resize: (162, 123) 1351378517 -4.101525305695511 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693946_0.png resize: (162, 123) 1351378519 -4.101525305695511 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693927_0.png resize: (205, 196) 1351378522 -2.5544857499784515 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700251_0.png resize: (205, 196) 1351378524 -2.5544857499784515 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693959_0.png resize: (124, 134) 1351378527 -1.6787824713101895 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700266_0.png resize: (124, 134) 1351378529 -1.6787824713101895 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693947_0.png resize: (413, 317) 1351378530 -3.267862132399509 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700271_0.png resize: (413, 317) 1351378533 -3.267862132399509 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693928_0.png resize: (176, 222) 1351378535 -2.7937528690592703 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700252_0.png resize: (176, 222) 1351378538 -2.7937528690592703 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693948_0.png resize: (247, 172) 1351378540 -2.4024222364594 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693951_0.png resize: (151, 129) 1351378541 -2.27922481484237 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700278_0.png resize: (129, 119) 1351378544 -2.0839768386778537 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700257_0.png resize: (247, 172) 1351378546 -2.4024222364594 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693922_0.png resize: (151, 109) 1351378547 -0.42031713404313825 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700277_0.png resize: (151, 109) 1351378550 -0.42031713404313825 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693935_0.png resize: (194, 198) 1351378552 -3.3247074537262846 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700258_0.png resize: (194, 198) 1351378553 -3.3247074537262846 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693987_0.png resize: (349, 188) 1351378556 -3.0789411562367315 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700858_0.png resize: (349, 188) 1351378558 -3.0789411562367315 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693964_0.png resize: (122, 143) 1351378559 -2.252637047011814 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693978_0.png resize: (143, 136) 1351378564 -1.5851698026703154 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700852_0.png resize: (122, 143) 1351378565 -2.252637047011814 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700854_0.png resize: (143, 136) 1351378569 -1.5851698026703154 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693985_0.png resize: (96, 137) 1351378570 -1.715863183258672 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700843_0.png resize: (96, 137) 1351378571 -1.715863183258672 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693968_0.png resize: (252, 185) 1351378574 -2.0774501608620484 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700859_0.png resize: (252, 185) 1351378576 -2.0774501608620484 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693973_0.png resize: (184, 232) 1351378578 -1.953587135045299 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700860_0.png resize: (184, 232) 1351378579 -1.953587135045299 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693975_0.png resize: (142, 228) 1351378582 -0.7240533213573729 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700840_0.png resize: (142, 228) 1351378583 -0.7240533213573729 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693982_0.png resize: (119, 143) 1351378584 -2.4942519775951864 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693962_0.png resize: (210, 133) 1351378586 -2.412113202965038 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700861_0.png resize: (210, 133) 1351378588 -2.412113202965038 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700857_0.png resize: (119, 143) 1351378589 -2.4942519775951864 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700833_0.png resize: (242, 222) 1351378591 -1.4894393494784333 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693960_0.png resize: (242, 222) 1351378593 -1.4894393494784333 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693984_0.png resize: (172, 101) 1351378595 -0.3906117328004187 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700845_0.png resize: (172, 101) 1351378598 -0.3906117328004187 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700856_0.png resize: (251, 310) 1351378599 -1.5180399297271716 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693972_0.png resize: (251, 310) 1351378601 -1.5180399297271716 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693992_0.png resize: (153, 221) 1351378604 -2.755252574300973 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700851_0.png resize: (153, 221) 1351378605 -2.755252574300973 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693974_0.png resize: (183, 182) 1351378608 -1.8429034493116574 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700849_0.png resize: (183, 182) 1351378611 -1.8429034493116574 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693970_0.png resize: (101, 158) 1351378612 -1.5319330601981447 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700831_0.png resize: (101, 158) 1351378613 -1.5319330601981447 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693976_0.png resize: (144, 92) 1351378616 -0.5634123271512179 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700864_0.png resize: (144, 92) 1351378617 -0.5634123271512179 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693990_0.png resize: (149, 218) 1351378618 -2.493092865071212 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700863_0.png resize: (149, 218) 1351378621 -2.493092865071212 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693986_0.png resize: (177, 136) 1351378622 -2.1362779737891096 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700846_0.png resize: (177, 136) 1351378624 -2.1362779737891096 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700835_0.png resize: (135, 188) 1351378626 -1.1403002222451704 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693965_0.png resize: (135, 188) 1351378627 -1.1403002222451704 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700841_0.png resize: (200, 214) 1351378629 -2.211435225107714 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693989_0.png resize: (200, 214) 1351378630 -2.211435225107714 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693993_0.png resize: (209, 169) 1351378631 -2.34359159027365 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700844_0.png resize: (209, 169) 1351378633 -2.34359159027365 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693966_0.png resize: (353, 454) 1351378634 -2.415128188250876 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700855_0.png resize: (353, 454) 1351378635 -2.415128188250876 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693983_0.png resize: (170, 241) 1351378636 -1.7293686435302205 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700832_0.png resize: (170, 241) 1351378638 -1.7293686435302205 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693967_0.png resize: (97, 192) 1351378639 -0.3745162464814021 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700837_0.png resize: (97, 192) 1351378646 -0.3745162464814021 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693977_0.png resize: (668, 360) 1351378647 -3.4133877382976006 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700850_0.png resize: (668, 360) 1351378649 -3.4133877382976006 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693981_0.png resize: (249, 264) 1351378650 -2.6477871813962266 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700834_0.png resize: (249, 264) 1351378652 -2.6477871813962266 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694023_0.png resize: (259, 208) 1351378654 -3.2005641329675125 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700880_0.png resize: (259, 208) 1351378655 -3.2005641329675125 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754693995_0.png resize: (147, 206) 1351378657 -2.1959243307067435 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694012_0.png resize: (239, 207) 1351378658 -3.111850838405964 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700884_0.png resize: (147, 206) 1351378660 -2.1959243307067435 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700888_0.png resize: (239, 206) 1351378662 -3.562384701864293 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694009_0.png resize: (109, 219) 1351378665 -2.8173130574153413 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700889_0.png resize: (109, 219) 1351378666 -2.8173130574153413 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694022_0.png resize: (133, 124) 1351378667 -0.6772159268222769 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694002_0.png resize: (332, 123) 1351378670 -2.4748768416004974 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700879_0.png resize: (133, 124) 1351378671 -0.6772159268222769 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754693998_0.png resize: (313, 244) 1351378672 -1.298983794286978 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700893_0.png resize: (332, 123) 1351378675 -2.4748768416004974 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700866_0.png resize: (313, 244) 1351378676 -1.298983794286978 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694021_0.png resize: (115, 93) 1351378677 -1.8015019292871512 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700890_0.png resize: (115, 93) 1351378680 -1.9583402834336312 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694001_0.png resize: (215, 155) 1351378681 -2.6648241235365777 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700877_0.png resize: (215, 155) 1351378682 -2.6648241235365777 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694013_0.png resize: (164, 140) 1351378685 -1.5374462447398638 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700894_0.png resize: (164, 140) 1351378686 -1.5374462447398638 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694006_0.png resize: (69, 94) 1351378689 1.9184242401875995 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700878_0.png resize: (69, 94) 1351378690 1.9184242401875995 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754693997_0.png resize: (272, 392) 1351378691 -2.5838841552869325 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694015_0.png resize: (199, 235) 1351378693 -1.3683987820088006 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700891_0.png resize: (272, 392) 1351378694 -2.5838841552869325 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700872_0.png resize: (199, 235) 1351378697 -1.3683987820088006 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754693996_0.png resize: (161, 186) 1351378698 -1.6365210771174097 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700886_0.png resize: (161, 186) 1351378699 -1.6365210771174097 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754693999_0.png resize: (211, 189) 1351378701 -1.8214263695690993 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700874_0.png resize: (211, 189) 1351378702 -1.8214263695690993 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694016_0.png resize: (114, 105) 1351378703 -1.7588705445102726 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700897_0.png resize: (114, 105) 1351378705 -1.7588705445102726 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694003_0.png resize: (71, 123) 1351378706 1.0705043519808153 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700895_0.png resize: (71, 123) 1351378707 1.0705043519808153 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694019_0.png resize: (497, 222) 1351378709 -2.983521386456426 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700885_0.png resize: (496, 221) 1351378710 -2.9074271162396803 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700892_0.png resize: (239, 167) 1351378711 -1.9401382280957749 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754693994_0.png resize: (239, 167) 1351378713 -1.9401382280957749 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694018_0.png resize: (369, 454) 1351378714 -1.7854335266175068 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700873_0.png resize: (369, 454) 1351378715 -1.7854335266175068 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700887_0.png resize: (126, 234) 1351378717 -0.8797136688772365 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694014_0.png resize: (126, 234) 1351378723 -0.8797136688772365 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694010_0.png resize: (406, 240) 1351378725 -2.97848326677409 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694008_0.png resize: (96, 212) 1351378726 -3.0558418454572247 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700868_0.png resize: (96, 212) 1351378727 -3.0558418454572247 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700869_0.png resize: (406, 240) 1351378728 -2.97848326677409 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694027_0.png resize: (337, 218) 1351378729 -1.9605037740624036 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700911_0.png resize: (337, 218) 1351378730 -1.9605037740624036 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694052_0.png resize: (299, 264) 1351378731 -3.0489661507203865 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700907_0.png resize: (299, 264) 1351378732 -3.0489661507203865 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694042_0.png resize: (183, 150) 1351378733 -1.2392963237798829 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700899_0.png resize: (183, 150) 1351378735 -1.2392963237798829 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694036_0.png resize: (159, 121) 1351378736 -0.31898697139785853 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700904_0.png resize: (159, 121) 1351378737 -0.31898697139785853 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694047_0.png resize: (153, 294) 1351378738 -2.0196146268584987 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700913_0.png resize: (153, 294) 1351378739 -2.0196146268584987 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694044_0.png resize: (131, 156) 1351378740 -1.4537547913117137 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700912_0.png resize: (131, 156) 1351378741 -1.4537547913117137 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694029_0.png resize: (159, 108) 1351378742 -1.4316532129861619 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700914_0.png resize: (159, 108) 1351378743 -1.4316532129861619 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694034_0.png resize: (141, 171) 1351378744 -2.071962780603445 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700927_0.png resize: (111, 170) 1351378745 0.0910200260340158 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694049_0.png resize: (152, 103) 1351378746 -1.352970700110196 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700923_0.png resize: (152, 103) 1351378747 -1.352970700110196 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694038_0.png resize: (178, 99) 1351378748 -2.3540274175850593 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700902_0.png resize: (178, 99) 1351378749 -2.3540274175850593 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694040_0.png resize: (146, 227) 1351378750 -3.042964729026129 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700918_0.png resize: (146, 227) 1351378751 -3.042964729026129 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694039_0.png resize: (217, 187) 1351378752 -0.8587512077531763 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700915_0.png resize: (217, 187) 1351378753 -0.8587512077531763 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694045_0.png resize: (199, 224) 1351378754 -2.2390866460794507 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700925_0.png resize: (199, 224) 1351378755 -2.2390866460794507 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694053_0.png resize: (166, 81) 1351378756 -0.7103079665914573 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700901_0.png resize: (166, 81) 1351378757 -0.7103079665914573 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3755472077_0.png resize: (421, 193) 1351378758 -2.64369058442739 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694084_0.png resize: (420, 197) 1351378760 -2.543120909098614 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700948_0.png resize: (420, 197) 1351378761 -2.543120909098614 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3755472078_0.png resize: (101, 98) 1351378762 -0.8773112227080183 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694085_0.png resize: (104, 98) 1351378763 -1.103277873743192 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700955_0.png resize: (104, 98) 1351378764 -1.103277873743192 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694058_0.png resize: (197, 280) 1351378765 -1.6736556308065138 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694089_0.png resize: (80, 226) 1351378766 -2.5525009440997586 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694075_0.png resize: (304, 450) 1351378767 -1.754507501475461 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700939_0.png resize: (197, 280) 1351378768 -1.6736556308065138 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700931_0.png resize: (304, 450) 1351378769 -1.754507501475461 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700956_0.png resize: (78, 182) 1351378771 -2.814582570216746 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694072_0.png resize: (158, 233) 1351378772 -2.5375020916543565 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700941_0.png resize: (158, 233) 1351378773 -2.5375020916543565 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694065_0.png resize: (99, 157) 1351378774 -2.4782322108191774 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700961_0.png resize: (99, 157) 1351378775 -2.4782322108191774 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694069_0.png resize: (117, 97) 1351378776 -2.48226009208854 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700944_0.png resize: (117, 97) 1351378777 -2.48226009208854 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694059_0.png resize: (175, 180) 1351378778 -2.215571528892612 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700947_0.png resize: (175, 180) 1351378779 -2.215571528892612 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694079_0.png resize: (191, 94) 1351378780 -1.952947692173161 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694083_0.png resize: (141, 179) 1351378781 -2.483392932189036 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700945_0.png resize: (141, 179) 1351378782 -2.483392932189036 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700951_0.png resize: (191, 94) 1351378783 -1.952947692173161 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694077_0.png resize: (69, 106) 1351378784 -0.7951319822214221 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700949_0.png resize: (69, 106) 1351378785 -0.7951319822214221 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694060_0.png resize: (577, 574) 1351378786 -2.853020765818887 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700950_0.png resize: (577, 574) 1351378787 -2.853020765818887 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694092_0.png resize: (95, 165) 1351378788 -3.365600930870383 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700965_0.png resize: (95, 165) 1351378789 -3.365600930870383 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694078_0.png resize: (115, 130) 1351378791 -0.06132664088642495 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700943_0.png resize: (115, 130) 1351378792 -0.06132664088642495 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694080_0.png resize: (120, 155) 1351378793 -2.4950621327247875 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700954_0.png resize: (120, 155) 1351378794 -2.7463202824599477 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694064_0.png resize: (88, 115) 1351378796 -2.7690803108558137 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700958_0.png resize: (88, 115) 1351378797 -2.7690803108558137 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694082_0.png resize: (185, 166) 1351378799 -2.1320663005570926 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700942_0.png resize: (185, 166) 1351378800 -2.1320663005570926 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700946_0.png resize: (468, 334) 1351378801 -3.0357226929264907 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694068_0.png resize: (468, 334) 1351378802 -3.0357226929264907 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694071_0.png resize: (442, 406) 1351378803 -1.4324080570494009 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700940_0.png resize: (442, 406) 1351378804 -1.4324080570494009 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694066_0.png resize: (194, 171) 1351378805 -4.299682814516548 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700957_0.png resize: (194, 171) 1351378807 -4.299682814516548 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694073_0.png resize: (90, 125) 1351378808 -2.3881069977853255 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700964_0.png resize: (90, 125) 1351378809 -2.3881069977853255 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694062_0.png resize: (123, 84) 1351378811 -1.9394513065866852 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700963_0.png resize: (123, 84) 1351378812 -1.9394513065866852 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694061_0.png resize: (87, 97) 1351378813 -2.150808017831568 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700966_0.png resize: (87, 97) 1351378815 -2.150808017831568 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694057_0.png resize: (414, 184) 1351378816 -1.521652636853646 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700932_0.png resize: (414, 184) 1351378817 -1.521652636853646 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694086_0.png resize: (133, 103) 1351378819 -1.4968265597371904 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700962_0.png resize: (133, 103) 1351378820 -1.4968265597371904 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694063_0.png resize: (349, 445) 1351378821 -3.521726657280963 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700933_0.png resize: (349, 445) 1351378822 -3.521726657280963 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3755472079_0.png resize: (200, 85) 1351378824 -2.60033539189879 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694093_0.png resize: (548, 298) 1351378825 -0.9996386108881129 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701017_0.png resize: (548, 298) 1351378826 -0.9996386108881129 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694116_0.png resize: (151, 122) 1351378828 -1.4308014638832711 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754700994_0.png resize: (151, 122) 1351378829 -1.4308014638832711 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694112_0.png resize: (224, 206) 1351378830 -2.1065488376012462 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754700998_0.png resize: (224, 206) 1351378832 -2.1065488376012462 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694099_0.png resize: (103, 89) 1351378833 0.6784776924666333 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701011_0.png resize: (103, 89) 1351378834 0.6784776924666333 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694113_0.png resize: (196, 176) 1351378837 -2.826264472302394 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754700997_0.png resize: (196, 176) 1351378838 -2.826264472302394 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694117_0.png resize: (158, 176) 1351378839 -3.217119079316937 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754700993_0.png resize: (158, 176) 1351378843 -3.2037633808201345 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694107_0.png resize: (156, 160) 1351378844 -3.2074570090157346 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694110_0.png resize: (111, 103) 1351378846 -2.2159800707676998 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701003_0.png resize: (156, 160) 1351378847 -3.2074570090157346 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701000_0.png resize: (111, 103) 1351378848 -2.2159800707676998 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701014_0.png resize: (150, 153) 1351378850 -2.1835445598833005 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694096_0.png resize: (150, 153) 1351378851 -2.1835445598833005 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694101_0.png resize: (223, 179) 1351378852 -2.371446933101198 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701009_0.png resize: (223, 179) 1351378855 -2.371446933101198 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694114_0.png resize: (362, 292) 1351378856 -2.2628198810155387 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754700996_0.png resize: (362, 292) 1351378858 -2.2628198810155387 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694104_0.png resize: (273, 216) 1351378859 -4.228531284029084 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3755472081_0.png resize: (274, 215) 1351378860 -4.162991389319641 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701006_0.png resize: (273, 216) 1351378863 -4.228531284029084 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694098_0.png resize: (99, 156) 1351378864 -2.0211925868523832 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701012_0.png resize: (99, 156) 1351378865 -2.0211925868523832 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694111_0.png resize: (67, 174) 1351378867 -3.252464386642663 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754700999_0.png resize: (67, 174) 1351378868 -3.252464386642663 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694095_0.png resize: (120, 106) 1351378869 -2.218934149544634 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701015_0.png resize: (120, 106) 1351378871 -2.218934149544634 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694115_0.png resize: (326, 329) 1351378872 -2.247442000070177 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3755472084_0.png resize: (320, 303) 1351378873 -2.2033759630398806 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754700995_0.png resize: (326, 329) 1351378875 -2.247442000070177 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694103_0.png resize: (130, 249) 1351378876 -3.6018867810516846 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3755472080_0.png resize: (128, 253) 1351378877 -3.6699631933789956 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701007_0.png resize: (130, 249) 1351378879 -3.6018867810516846 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3755472083_0.png resize: (758, 739) 1351378880 -3.5073666605490037 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694109_0.png resize: (754, 740) 1351378882 -3.51716946926972 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694094_0.png resize: (160, 139) 1351378883 -2.7544120377136325 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701016_0.png resize: (160, 139) 1351378884 -2.7544120377136325 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701001_0.png resize: (754, 740) 1351378886 -3.5170418837870976 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3755472082_0.png resize: (122, 157) 1351378887 -0.6964238113367938 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694106_0.png resize: (124, 150) 1351378890 -0.7335096841762085 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701004_0.png resize: (124, 150) 1351378892 -0.7335096841762085 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694100_0.png resize: (397, 207) 1351378893 -2.4520026310736895 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701010_0.png resize: (397, 207) 1351378894 -2.4520026310736895 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694108_0.png resize: (82, 171) 1351378896 -1.2512553194231142 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701002_0.png resize: (82, 171) 1351378897 -1.2512553194231142 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694105_0.png resize: (88, 87) 1351378899 -0.8851991681782583 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701005_0.png resize: (88, 87) 1351378901 -0.8851991681782583 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694097_0.png resize: (358, 248) 1351378902 -2.6832806251688557 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701013_0.png resize: (358, 248) 1351378903 -2.6832806251688557 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694102_0.png resize: (225, 214) 1351378905 -2.520893864352451 treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701008_0.png resize: (225, 214) 1351378906 -2.520893864352451 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694156_0.png resize: (209, 237) 1351378907 -1.6151226155125435 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701137_0.png resize: (209, 237) 1351378909 -1.6151226155125435 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694129_0.png resize: (79, 105) 1351378910 -0.7818664329339815 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701155_0.png resize: (79, 105) 1351378911 -0.7818664329339815 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694135_0.png resize: (232, 368) 1351378913 -2.3794852413496623 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694137_0.png resize: (497, 655) 1351378914 -3.440187876558925 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3755472087_0.png resize: (499, 655) 1351378916 -3.4164349451955185 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701142_0.png resize: (232, 368) 1351378917 -2.3794852413496623 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694159_0.png resize: (198, 120) 1351378919 -1.83395418920204 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701127_0.png resize: (198, 120) 1351378920 -1.83395418920204 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694151_0.png resize: (151, 97) 1351378921 -1.9944079701570832 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701145_0.png resize: (151, 97) 1351378924 -1.9944079701570832 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701135_0.png resize: (497, 655) 1351378926 -3.440187876558925 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694119_0.png resize: (137, 114) 1351378927 -1.7339311634192598 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701131_0.png resize: (137, 114) 1351378929 -1.7339311634192598 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3755472088_0.png resize: (219, 186) 1351378933 -2.2429028719430173 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694144_0.png resize: (211, 184) 1351378934 -1.9478789712491504 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3755472085_0.png resize: (262, 300) 1351378937 -2.151114959718785 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694122_0.png resize: (259, 299) 1351378938 -2.0897843474677655 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701147_0.png resize: (211, 184) 1351378940 -1.9478789712491504 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701141_0.png resize: (259, 299) 1351378941 -2.0897843474677655 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694133_0.png resize: (659, 501) 1351378943 -3.507648008874721 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701125_0.png resize: (659, 501) 1351378944 -3.507648008874721 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694134_0.png resize: (97, 130) 1351378946 -1.9653362790326125 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701129_0.png resize: (75, 130) 1351378947 -1.7120532161084574 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694130_0.png resize: (543, 547) 1351378948 -3.11953905970255 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694155_0.png resize: (538, 491) 1351378950 -3.823081358761743 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701133_0.png resize: (543, 547) 1351378951 -3.11953905970255 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694153_0.png resize: (172, 327) 1351378952 -3.7158243141202414 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701126_0.png resize: (172, 325) 1351378954 -2.200285610790915 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701139_0.png resize: (538, 491) 1351378955 -3.823081358761743 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694121_0.png resize: (126, 231) 1351378957 -3.2067037520712582 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701130_0.png resize: (126, 231) 1351378958 -3.2067037520712582 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694124_0.png resize: (378, 351) 1351378959 -3.2015614426068626 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701138_0.png resize: (378, 351) 1351378960 -3.2015614426068626 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694125_0.png resize: (288, 287) 1351378962 -2.526053589778473 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701132_0.png resize: (288, 287) 1351378963 -2.526053589778473 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694126_0.png resize: (354, 269) 1351378965 -3.4077734882175648 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694136_0.png resize: (253, 288) 1351378966 -2.473896568464194 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701143_0.png resize: (354, 269) 1351378967 -3.4077734882175648 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701149_0.png resize: (253, 288) 1351378969 -2.473896568464194 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694143_0.png resize: (99, 149) 1351378970 -2.4776613846365576 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701159_0.png resize: (99, 149) 1351378977 -2.4776613846365576 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694158_0.png resize: (125, 101) 1351378978 -2.896387462714702 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694152_0.png resize: (141, 177) 1351378979 -2.3988496386857814 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701157_0.png resize: (125, 101) 1351378981 -2.896387462714702 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701148_0.png resize: (141, 177) 1351378982 -2.3988496386857814 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694146_0.png resize: (304, 202) 1351378984 -2.205787590428231 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694154_0.png resize: (111, 93) 1351378985 -2.524389148063327 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701146_0.png resize: (111, 93) 1351378986 -2.524389148063327 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694149_0.png resize: (59, 92) 1351378987 -1.725430839972901 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694148_0.png resize: (38, 89) 1351378989 -2.6195702241943883 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701154_0.png resize: (57, 92) 1351378990 -1.7260066235081948 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701153_0.png resize: (38, 89) 1351378991 -2.6195702241943883 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701156_0.png resize: (304, 202) 1351378993 -2.205787590428231 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694128_0.png resize: (62, 75) 1351378994 -2.9201075506835865 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701150_0.png resize: (62, 75) 1351378995 -2.9201075506835865 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694138_0.png resize: (175, 216) 1351378997 -1.6100646970754733 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701151_0.png resize: (175, 216) 1351378998 -1.7393965089790318 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694139_0.png resize: (243, 398) 1351378999 -2.6189410633632875 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701158_0.png resize: (243, 398) 1351379001 -2.6189410633632875 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694177_0.png resize: (414, 436) 1351379002 -2.762874151452549 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701307_0.png resize: (414, 436) 1351379003 -2.762874151452549 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694173_0.png resize: (226, 181) 1351379005 -2.8414367366791433 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701298_0.png resize: (226, 181) 1351379006 -2.8414367366791433 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694170_0.png resize: (196, 152) 1351379007 -2.4935606116345226 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701301_0.png resize: (196, 152) 1351379009 -2.4935606116345226 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694166_0.png resize: (302, 202) 1351379010 -2.009537433212606 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701299_0.png resize: (302, 202) 1351379011 -2.009537433212606 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694162_0.png resize: (163, 88) 1351379013 -1.3124476648121035 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701294_0.png resize: (163, 88) 1351379014 -1.3124476648121035 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694161_0.png resize: (272, 314) 1351379015 -1.6970125887594767 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701300_0.png resize: (272, 314) 1351379017 -1.6970125887594767 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694169_0.png resize: (143, 152) 1351379018 -1.0647055794420137 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694181_0.png resize: (318, 203) 1351379019 -2.3746188885720367 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701274_0.png resize: (143, 152) 1351379021 -1.0647055794420137 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701286_0.png resize: (318, 203) 1351379022 -2.3746188885720367 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694189_0.png resize: (135, 96) 1351379023 -0.9730205564182057 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701302_0.png resize: (135, 96) 1351379025 -0.9730205564182057 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694186_0.png resize: (352, 353) 1351379026 -4.895872885401338 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694171_0.png resize: (139, 122) 1351379027 -4.106055716584984 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701282_0.png resize: (139, 122) 1351379029 -4.106055716584984 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694176_0.png resize: (180, 226) 1351379030 -4.253888659949993 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701295_0.png resize: (352, 353) 1351379032 -4.895872885401338 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701273_0.png resize: (180, 226) 1351379033 -4.253888659949993 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694178_0.png resize: (115, 164) 1351379034 -2.701421201069609 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701311_0.png resize: (115, 164) 1351379036 -2.701421201069609 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694167_0.png resize: (235, 214) 1351379037 -4.01004947843912 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701288_0.png resize: (235, 214) 1351379038 -4.01004947843912 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694192_0.png resize: (191, 125) 1351379040 -4.456031712449041 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701278_0.png resize: (191, 125) 1351379041 -4.456031712449041 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694196_0.png resize: (112, 151) 1351379042 -3.5431903900763273 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701310_0.png resize: (112, 151) 1351379044 -3.5431903900763273 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694185_0.png resize: (81, 331) 1351379045 -1.2805374436943198 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701314_0.png resize: (81, 331) 1351379046 -1.2805374436943198 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694198_0.png resize: (184, 410) 1351379047 -5.735201004956004 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701284_0.png resize: (184, 410) 1351379048 -5.735201004956004 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694180_0.png resize: (149, 88) 1351379049 -3.4983657247736013 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701279_0.png resize: (149, 88) 1351379050 -3.4983657247736013 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694201_0.png resize: (435, 434) 1351379051 -5.360651004530545 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701291_0.png resize: (435, 434) 1351379052 -5.373104152881929 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694188_0.png resize: (138, 150) 1351379053 -5.725543542226467 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694179_0.png resize: (56, 114) 1351379054 -2.529866137995506 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701289_0.png resize: (56, 114) 1351379055 -2.529866137995506 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701285_0.png resize: (138, 150) 1351379056 -5.725543542226467 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694195_0.png resize: (259, 253) 1351379058 -2.5763776450461324 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701303_0.png resize: (259, 253) 1351379059 -2.5763776450461324 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694199_0.png resize: (296, 266) 1351379060 -3.4607905197920004 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701308_0.png resize: (296, 266) 1351379062 -3.4607905197920004 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694174_0.png resize: (370, 367) 1351379063 -4.567744712699674 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701280_0.png resize: (370, 367) 1351379064 -4.567744712699674 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701277_0.png resize: (170, 107) 1351379066 -2.8365440921138134 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694164_0.png resize: (170, 107) 1351379067 -2.8365440921138134 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694175_0.png resize: (91, 136) 1351379068 -3.3093935531203904 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701293_0.png resize: (91, 136) 1351379070 -3.3093935531203904 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694172_0.png resize: (353, 237) 1351379071 -4.505764090322714 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701297_0.png resize: (353, 237) 1351379072 -4.505764090322714 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694168_0.png resize: (224, 131) 1351379074 -3.8637021186908416 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701290_0.png resize: (224, 131) 1351379076 -3.8637021186908416 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694182_0.png resize: (190, 123) 1351379077 -3.826986967890966 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694203_0.png resize: (238, 192) 1351379079 -4.006910738667112 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701304_0.png resize: (238, 192) 1351379080 -4.006910738667112 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701281_0.png resize: (190, 123) 1351379081 -3.826986967890966 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701313_0.png resize: (84, 156) 1351379083 -2.387792688658378 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694202_0.png resize: (84, 160) 1351379085 -2.2472048104517945 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694160_0.png resize: (182, 126) 1351379087 -0.14223960625557852 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701305_0.png resize: (182, 126) 1351379089 -0.14223960625557852 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694223_0.png resize: (147, 69) 1351379090 -3.2981321199173883 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694204_0.png resize: (362, 216) 1351379091 -1.2174618763392848 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701325_0.png resize: (147, 69) 1351379093 -3.2981321199173883 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701353_0.png resize: (362, 216) 1351379094 -1.2174618763392848 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701337_0.png resize: (209, 454) 1351379095 -3.14991367419877 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694254_0.png resize: (220, 454) 1351379098 -2.662512108368595 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694251_0.png resize: (457, 513) 1351379099 -1.715438267128666 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701363_0.png resize: (457, 513) 1351379100 -1.6355395058538935 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701348_0.png resize: (216, 296) 1351379102 -2.315180377661358 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694241_0.png resize: (216, 296) 1351379103 -2.315180377661358 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694207_0.png resize: (173, 169) 1351379104 -2.517355149465656 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701350_0.png resize: (173, 169) 1351379105 -2.517355149465656 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694236_0.png resize: (120, 160) 1351379107 -2.4190275720007315 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701367_0.png resize: (120, 160) 1351379108 -2.4190275720007315 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694208_0.png resize: (52, 111) 1351379109 -1.3639678944014952 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701319_0.png resize: (52, 111) 1351379111 -1.3639678944014952 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694220_0.png resize: (175, 177) 1351379112 -2.080743652304218 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701354_0.png resize: (175, 177) 1351379113 -2.080743652304218 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694224_0.png resize: (331, 324) 1351379115 -2.6723521383114326 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701349_0.png resize: (331, 324) 1351379116 -2.6723521383114326 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694250_0.png resize: (155, 88) 1351379118 -0.16283895808782117 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701344_0.png resize: (155, 88) 1351379119 -0.16283895808782117 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694222_0.png resize: (269, 330) 1351379120 -1.6354040641446623 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701351_0.png resize: (269, 330) 1351379122 -1.6354040641446623 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694246_0.png resize: (563, 1000) 1351379124 -2.8429595953083115 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701357_0.png resize: (563, 1000) 1351379125 -3.1579350154606636 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694205_0.png resize: (158, 125) 1351379127 -1.486345841848655 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701322_0.png resize: (158, 125) 1351379129 -1.486345841848655 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694229_0.png resize: (158, 210) 1351379130 -1.6562986817344563 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694240_0.png resize: (139, 142) 1351379132 -1.5036281899142911 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694212_0.png resize: (377, 482) 1351379133 -3.5308976497114473 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701336_0.png resize: (377, 482) 1351379134 -3.5308976497114473 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701355_0.png resize: (139, 142) 1351379136 -1.5036281899142911 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701361_0.png resize: (158, 210) 1351379137 -1.6562986817344563 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694210_0.png resize: (184, 223) 1351379138 -4.053759828712014 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701320_0.png resize: (184, 223) 1351379140 -4.053759828712014 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694230_0.png resize: (112, 180) 1351379142 -2.193917823130316 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701368_0.png resize: (112, 180) 1351379143 -2.193917823130316 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694225_0.png resize: (170, 229) 1351379145 -3.4293956380407833 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3755472334_0.png resize: (172, 234) 1351379146 -3.420525634377286 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701327_0.png resize: (170, 229) 1351379147 -3.4293956380407833 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694215_0.png resize: (88, 124) 1351379149 -2.117580430943599 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701366_0.png resize: (88, 124) 1351379150 -2.117580430943599 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694228_0.png resize: (319, 297) 1351379151 -4.013810337707337 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701323_0.png resize: (319, 297) 1351379153 -4.013810337707337 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694247_0.png resize: (180, 373) 1351379154 -5.139753628218208 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701332_0.png resize: (180, 373) 1351379155 -5.139753628218208 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694209_0.png resize: (154, 86) 1351379158 -2.449569000845842 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701328_0.png resize: (154, 86) 1351379159 -2.449569000845842 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694217_0.png resize: (326, 449) 1351379160 -5.525518422973241 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701342_0.png resize: (326, 449) 1351379162 -5.525518422973241 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694226_0.png resize: (115, 273) 1351379163 -4.12856291583156 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694218_0.png resize: (224, 156) 1351379164 -1.171415343241175 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701341_0.png resize: (35, 201) 1351379166 -2.724156031835903 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701352_0.png resize: (224, 156) 1351379168 -1.171415343241175 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694245_0.png resize: (261, 285) 1351379169 -1.866132299237842 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701356_0.png resize: (261, 285) 1351379171 -1.866132299237842 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694248_0.png resize: (157, 112) 1351379173 -1.9712662958183662 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701326_0.png resize: (157, 112) 1351379174 -1.9712662958183662 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694231_0.png resize: (80, 155) 1351379175 -2.169121914758638 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701358_0.png resize: (80, 155) 1351379177 -2.169121914758638 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694206_0.png resize: (129, 159) 1351379178 -1.9040623769844045 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701364_0.png resize: (129, 159) 1351379179 -1.9040623769844045 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694232_0.png resize: (294, 146) 1351379181 -3.5119788823336524 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701338_0.png resize: (294, 146) 1351379182 -3.5119788823336524 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701359_0.png resize: (167, 120) 1351379183 1.303274144124491 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694219_0.png resize: (167, 120) 1351379185 1.303274144124491 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694256_0.png resize: (155, 147) 1351379186 -4.057718064020259 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701333_0.png resize: (154, 143) 1351379187 -1.7654564408871374 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701362_0.png resize: (117, 44) 1351379189 -0.5204339329189047 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694243_0.png resize: (117, 44) 1351379190 -0.5204339329189047 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694260_0.png resize: (426, 331) 1351379191 -2.212451666771352 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694267_0.png resize: (117, 87) 1351379193 -2.159411433934106 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701418_0.png resize: (117, 87) 1351379194 -3.9707985993641794 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701420_0.png resize: (426, 331) 1351379195 -2.212451666771352 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694281_0.png resize: (162, 205) 1351379197 -2.3680069198085656 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701424_0.png resize: (162, 205) 1351379198 -2.3680069198085656 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694257_0.png resize: (152, 285) 1351379199 -0.026851553625666703 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701407_0.png resize: (152, 285) 1351379201 -0.026851553625666703 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694269_0.png resize: (151, 189) 1351379202 -1.5998183062941365 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701415_0.png resize: (151, 189) 1351379203 -1.5998183062941365 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694266_0.png resize: (442, 333) 1351379206 -2.217043168350294 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701419_0.png resize: (442, 333) 1351379208 -2.217043168350294 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694268_0.png resize: (332, 363) 1351379209 -3.474551029515408 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701421_0.png resize: (332, 363) 1351379210 -3.474551029515408 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694274_0.png resize: (383, 256) 1351379212 -3.094868051940462 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701400_0.png resize: (371, 256) 1351379213 -3.1556019221603404 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701399_0.png resize: (134, 210) 1351379214 0.0008057273942835254 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694263_0.png resize: (134, 210) 1351379216 0.0008057273942835254 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701403_0.png resize: (186, 340) 1351379217 -0.9690779382382793 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694283_0.png resize: (186, 340) 1351379218 -0.9690779382382793 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694273_0.png resize: (262, 320) 1351379220 -4.088640096606423 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701422_0.png resize: (262, 320) 1351379221 -4.088640096606423 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694271_0.png resize: (291, 327) 1351379222 -0.031796233719566996 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701408_0.png resize: (291, 327) 1351379227 -0.031796233719566996 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694264_0.png resize: (165, 156) 1351379229 -0.2631691264694997 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701417_0.png resize: (165, 156) 1351379233 -0.2631691264694997 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694265_0.png resize: (149, 92) 1351379235 -0.15480938401337413 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701405_0.png resize: (149, 92) 1351379237 -0.15480938401337413 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694278_0.png resize: (294, 377) 1351379243 -1.485649033422935 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701402_0.png resize: (294, 377) 1351379245 -1.485649033422935 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694258_0.png resize: (278, 602) 1351379248 -3.3455390590872964 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701404_0.png resize: (278, 602) 1351379251 -3.3455390590872964 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694270_0.png resize: (296, 333) 1351379253 -2.865381265044045 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701412_0.png resize: (296, 333) 1351379255 -2.865381265044045 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694275_0.png resize: (248, 284) 1351379257 -2.0472253103073212 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701406_0.png resize: (248, 284) 1351379258 -2.0472253103073212 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694259_0.png resize: (304, 273) 1351379260 -2.955603405527504 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701409_0.png resize: (304, 273) 1351379262 -2.955603405527504 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694280_0.png resize: (197, 261) 1351379263 -0.8536450982603159 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701416_0.png resize: (197, 261) 1351379265 -0.8536450982603159 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694261_0.png resize: (404, 214) 1351379267 -1.9316664001951467 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701398_0.png resize: (404, 214) 1351379268 -1.9316664001951467 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694277_0.png resize: (267, 121) 1351379270 -2.434254782713305 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701413_0.png resize: (267, 121) 1351379272 -2.434254782713305 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694302_0.png resize: (116, 87) 1351379273 -2.027976376204289 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701427_0.png resize: (116, 87) 1351379275 -2.027976376204289 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694296_0.png resize: (215, 222) 1351379277 -3.3795750387642127 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701433_0.png resize: (215, 222) 1351379278 -3.3795750387642127 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694285_0.png resize: (177, 178) 1351379280 -2.9803218149941295 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701444_0.png resize: (177, 178) 1351379282 -2.9803218149941295 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694297_0.png resize: (211, 145) 1351379283 -2.5482238662181684 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3755472336_0.png resize: (205, 145) 1351379284 -2.5404657880166357 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701432_0.png resize: (211, 145) 1351379287 -2.5482238662181684 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701438_0.png resize: (110, 282) 1351379288 -4.093563233254738 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694291_0.png resize: (110, 282) 1351379289 -4.093563233254738 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694286_0.png resize: (350, 463) 1351379291 -4.280588673524966 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701443_0.png resize: (350, 463) 1351379293 -4.280588673524966 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694301_0.png resize: (264, 382) 1351379294 -4.73977427565815 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701428_0.png resize: (264, 382) 1351379296 -4.73977427565815 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694300_0.png resize: (253, 314) 1351379298 -3.503001331501362 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701429_0.png resize: (253, 314) 1351379299 -3.503001331501362 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694290_0.png resize: (232, 179) 1351379301 -3.483239831769052 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701439_0.png resize: (232, 179) 1351379303 -3.483239831769052 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701436_0.png resize: (139, 157) 1351379304 -2.412050842357161 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694293_0.png resize: (139, 157) 1351379308 -2.412050842357161 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694292_0.png resize: (145, 68) 1351379310 -2.823393136972771 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701437_0.png resize: (145, 68) 1351379311 -2.823393136972771 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694346_0.png resize: (305, 191) 1351379314 -2.655430159611725 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701467_0.png resize: (305, 191) 1351379316 -2.655430159611725 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694323_0.png resize: (276, 340) 1351379317 -3.2609578132605543 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701475_0.png resize: (276, 340) 1351379324 -3.2609578132605543 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694331_0.png resize: (127, 94) 1351379325 -0.04238766025803705 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701451_0.png resize: (127, 94) 1351379328 -0.04238766025803705 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694313_0.png resize: (149, 233) 1351379329 -3.5115318341396096 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701466_0.png resize: (149, 233) 1351379330 -3.5115318341396096 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694305_0.png resize: (262, 420) 1351379333 -3.4418887082081597 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701489_0.png resize: (262, 420) 1351379334 -3.4418887082081597 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694332_0.png resize: (150, 264) 1351379335 -2.458658778239773 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701453_0.png resize: (150, 264) 1351379338 -2.458658778239773 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694330_0.png resize: (217, 116) 1351379339 -3.932887085676824 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701468_0.png resize: (217, 116) 1351379340 -3.932887085676824 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694335_0.png resize: (174, 276) 1351379343 -3.626290816784772 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694310_0.png resize: (212, 145) 1351379344 -2.7423009443290565 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701458_0.png resize: (212, 145) 1351379345 -2.7423009443290565 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701488_0.png resize: (174, 261) 1351379348 -3.6349289301705596 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694338_0.png resize: (180, 147) 1351379353 -4.186250251120301 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701473_0.png resize: (180, 147) 1351379356 -4.186250251120301 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694339_0.png resize: (249, 212) 1351379362 -2.2094697996159254 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701462_0.png resize: (245, 204) 1351379364 -1.8072967663998454 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694314_0.png resize: (327, 353) 1351379366 -4.428212676703911 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701472_0.png resize: (327, 353) 1351379372 -4.428212676703911 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694318_0.png resize: (244, 305) 1351379374 -4.290538645781467 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701479_0.png resize: (244, 305) 1351379376 -4.290538645781467 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694307_0.png resize: (121, 253) 1351379380 -4.43887109230522 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701478_0.png resize: (121, 253) 1351379381 -4.43887109230522 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694340_0.png resize: (221, 180) 1351379382 -4.3646148740217905 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694345_0.png resize: (214, 122) 1351379386 -4.952139540603921 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701484_0.png resize: (221, 180) 1351379387 -4.3646148740217905 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701480_0.png resize: (214, 122) 1351379388 -4.952139540603921 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694325_0.png resize: (97, 421) 1351379392 -2.711705502726027 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701490_0.png resize: (97, 421) 1351379393 -2.711705502726027 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694324_0.png resize: (152, 180) 1351379396 -4.535921796920894 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694320_0.png resize: (108, 124) 1351379398 -4.287811028320785 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701481_0.png resize: (152, 180) 1351379403 -4.535921796920894 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701483_0.png resize: (108, 124) 1351379405 -4.287811028320785 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694312_0.png resize: (385, 253) 1351379406 -3.3220704078237144 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701470_0.png resize: (385, 253) 1351379410 -3.3220704078237144 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694308_0.png resize: (199, 385) 1351379412 -4.0426969924040534 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701469_0.png resize: (199, 385) 1351379413 -4.0426969924040534 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694316_0.png resize: (105, 203) 1351379417 -4.315161812368755 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701459_0.png resize: (105, 203) 1351379418 -4.315161812368755 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694341_0.png resize: (164, 91) 1351379419 -2.5762440235882966 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701463_0.png resize: (164, 91) 1351379423 -2.5762440235882966 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701455_0.png resize: (147, 330) 1351379424 -5.651771336696216 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694343_0.png resize: (147, 330) 1351379428 -5.651771336696216 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694317_0.png resize: (167, 203) 1351379429 -3.831295406786153 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694306_0.png resize: (126, 215) 1351379430 -4.390108305775145 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701477_0.png resize: (126, 215) 1351379434 -4.390108305775145 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701471_0.png resize: (167, 203) 1351379435 -3.831295406786153 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694328_0.png resize: (330, 323) 1351379438 -3.2970232610262373 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694326_0.png resize: (175, 181) 1351379440 -3.4328679240556195 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701465_0.png resize: (175, 181) 1351379443 -3.4328679240556195 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701449_0.png resize: (330, 323) 1351379444 -3.2970232610262373 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694329_0.png resize: (190, 232) 1351379446 -5.245874847870032 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3755472339_0.png resize: (198, 231) 1351379449 -5.2765311950980465 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701476_0.png resize: (190, 232) 1351379450 -5.245874847870032 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694311_0.png resize: (78, 148) 1351379455 -0.35229420522620497 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701491_0.png resize: (78, 148) 1351379458 -0.35229420522620497 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694322_0.png resize: (477, 218) 1351379459 -4.981637906169684 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701448_0.png resize: (477, 218) 1351379461 -4.981637906169684 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701522_0.png resize: (177, 263) 1351379464 -1.6299168444263998 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694366_0.png resize: (177, 263) 1351379465 -1.6299168444263998 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694362_0.png resize: (181, 184) 1351379469 -2.8238643214852703 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701517_0.png resize: (181, 184) 1351379470 -2.8238643214852703 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694358_0.png resize: (146, 220) 1351379472 -3.689810949962168 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701508_0.png resize: (146, 220) 1351379475 -3.689810949962168 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694352_0.png resize: (260, 460) 1351379476 -3.011527626982956 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701527_0.png resize: (260, 460) 1351379481 -3.011527626982956 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694369_0.png resize: (202, 124) 1351379484 -4.174615901264521 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701509_0.png resize: (202, 124) 1351379486 -4.174615901264521 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694377_0.png resize: (204, 207) 1351379487 -3.127331516182233 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701518_0.png resize: (204, 207) 1351379490 -3.127331516182233 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694361_0.png resize: (210, 141) 1351379492 -2.687906152146641 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701504_0.png resize: (210, 141) 1351379493 -2.687906152146641 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694365_0.png resize: (166, 200) 1351379496 -3.3779071201965105 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694355_0.png resize: (283, 188) 1351379498 -4.40270396432395 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701511_0.png resize: (283, 188) 1351379499 -4.40270396432395 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701528_0.png resize: (166, 198) 1351379502 -3.365548750011448 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694379_0.png resize: (124, 91) 1351379504 -3.6866007783496855 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701499_0.png resize: (124, 91) 1351379505 -3.6866007783496855 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694374_0.png resize: (315, 328) 1351379508 -4.323342743137941 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701514_0.png resize: (315, 328) 1351379510 -4.323342743137941 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694350_0.png resize: (128, 253) 1351379512 -4.284982717837298 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701520_0.png resize: (128, 253) 1351379514 -4.284982717837298 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694371_0.png resize: (208, 138) 1351379516 -5.050190906873231 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701523_0.png resize: (208, 138) 1351379526 -5.050190906873231 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694373_0.png resize: (388, 222) 1351379528 -3.3386110762893764 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701515_0.png resize: (388, 222) 1351379538 -3.3386110762893764 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694353_0.png resize: (375, 303) 1351379539 -2.8469269716840326 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701512_0.png resize: (375, 303) 1351379541 -2.8469269716840326 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694364_0.png resize: (190, 326) 1351379545 -3.812601415124907 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701510_0.png resize: (190, 326) 1351379547 -3.812601415124907 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694354_0.png resize: (102, 200) 1351379549 -4.037351013061763 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694359_0.png resize: (420, 548) 1351379553 -4.6696247271203095 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701505_0.png resize: (102, 200) 1351379555 -4.037351013061763 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701496_0.png resize: (420, 548) 1351379557 -4.6696247271203095 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694356_0.png resize: (132, 168) 1351379561 -3.747879436214024 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694370_0.png resize: (169, 206) 1351379563 -4.03138573796819 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701519_0.png resize: (132, 168) 1351379565 -3.747879436214024 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701513_0.png resize: (169, 206) 1351379569 -4.03138573796819 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694382_0.png resize: (113, 185) 1351379571 -3.649912115924506 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701507_0.png resize: (113, 185) 1351379573 -3.649912115924506 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694372_0.png resize: (95, 108) 1351379577 -5.042644956950118 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694376_0.png resize: (175, 144) 1351379579 -3.8406161068898053 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701529_0.png resize: (175, 144) 1351379581 -3.8406161068898053 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701521_0.png resize: (95, 108) 1351379585 -5.042644956950118 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694381_0.png resize: (138, 189) 1351379588 -4.361239948813923 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701524_0.png resize: (138, 189) 1351379591 -4.361239948813923 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694385_0.png resize: (518, 288) 1351379594 -1.9253953815154035 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701495_0.png resize: (518, 288) 1351379595 -1.9253953815154035 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694368_0.png resize: (476, 240) 1351379597 -5.383545423850909 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701494_0.png resize: (476, 240) 1351379599 -5.383545423850909 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694400_0.png resize: (278, 348) 1351379601 -3.0588919890531123 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701552_0.png resize: (278, 348) 1351379606 -3.0588919890531123 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694394_0.png resize: (310, 423) 1351379608 -3.2915935522972455 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701532_0.png resize: (310, 423) 1351379609 -3.2915935522972455 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694392_0.png resize: (145, 191) 1351379612 -3.2513786646452436 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701542_0.png resize: (145, 191) 1351379613 -3.2513786646452436 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694396_0.png resize: (245, 472) 1351379614 -2.921864372398527 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701565_0.png resize: (245, 472) 1351379616 -2.921864372398527 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694406_0.png resize: (207, 111) 1351379618 -3.490538600329376 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701544_0.png resize: (207, 111) 1351379619 -3.490538600329376 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694391_0.png resize: (215, 143) 1351379621 -2.5662415503902225 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701539_0.png resize: (215, 143) 1351379623 -2.5662415503902225 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694386_0.png resize: (270, 178) 1351379624 -4.147219093331807 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701551_0.png resize: (270, 178) 1351379626 -4.147219093331807 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694402_0.png resize: (124, 89) 1351379628 -3.058206623086216 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694412_0.png resize: (118, 76) 1351379630 -2.5517369485978256 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701555_0.png resize: (115, 69) 1351379631 -3.2843278598903014 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701533_0.png resize: (124, 89) 1351379632 -3.058206623086216 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694388_0.png resize: (367, 322) 1351379634 -4.452123465264238 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701548_0.png resize: (367, 322) 1351379635 -4.452123465264238 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694389_0.png resize: (126, 268) 1351379636 -4.637543510261054 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701557_0.png resize: (126, 268) 1351379638 -4.637543510261054 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694387_0.png resize: (401, 333) 1351379639 -3.283871390868543 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701547_0.png resize: (401, 333) 1351379641 -3.283871390868543 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694413_0.png resize: (189, 352) 1351379643 -3.6574429413706957 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701545_0.png resize: (189, 352) 1351379644 -3.6574429413706957 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701564_0.png resize: (123, 126) 1351379645 -4.672280788019713 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694410_0.png resize: (123, 126) 1351379646 -4.672280788019713 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694421_0.png resize: (108, 136) 1351379647 -2.7564220330302702 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701554_0.png resize: (108, 136) 1351379648 -2.7564220330302702 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694403_0.png resize: (137, 373) 1351379649 -5.6613671600459625 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701534_0.png resize: (137, 373) 1351379650 -5.664374714414583 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694395_0.png resize: (292, 559) 1351379651 -4.679957993538252 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694393_0.png resize: (165, 201) 1351379652 -3.3785724098630316 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694409_0.png resize: (141, 182) 1351379653 -3.9502384349825417 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701549_0.png resize: (165, 201) 1351379654 -3.3785724098630316 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701556_0.png resize: (141, 182) 1351379655 -3.9502384349825417 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701536_0.png resize: (292, 559) 1351379656 -4.679957993538252 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694405_0.png resize: (116, 157) 1351379657 -3.68140002237602 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701543_0.png resize: (116, 157) 1351379660 -3.68140002237602 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3755472340_0.png resize: (214, 196) 1351379661 -5.397253804762273 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694399_0.png resize: (214, 198) 1351379662 -5.399969022706053 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701560_0.png resize: (214, 198) 1351379663 -5.399969022706053 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694397_0.png resize: (90, 118) 1351379664 -5.2345483258358145 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701558_0.png resize: (90, 118) 1351379665 -5.2345483258358145 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694407_0.png resize: (140, 152) 1351379666 -4.873513713951413 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701550_0.png resize: (140, 152) 1351379668 -4.873513713951413 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694411_0.png resize: (142, 220) 1351379669 -4.769321963315881 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701561_0.png resize: (142, 220) 1351379670 -4.769321963315881 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694398_0.png resize: (74, 151) 1351379671 -0.7794786832235387 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701566_0.png resize: (74, 151) 1351379672 -0.7794786832235387 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694419_0.png resize: (247, 278) 1351379673 -5.222932189152405 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701562_0.png resize: (247, 278) 1351379674 -5.222932189152405 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694415_0.png resize: (318, 346) 1351379675 -4.485880899685863 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701531_0.png resize: (318, 346) 1351379676 -4.485880899685863 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694401_0.png resize: (138, 94) 1351379677 -3.918887765366593 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701538_0.png resize: (138, 94) 1351379678 -3.918887765366593 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694425_0.png resize: (210, 168) 1351379679 -2.298808622850339 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694426_0.png resize: (470, 220) 1351379680 -2.8994462193209563 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701649_0.png resize: (210, 168) 1351379681 -2.298808622850339 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701648_0.png resize: (470, 220) 1351379682 -2.8994462193209563 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694440_0.png resize: (88, 87) 1351379683 -0.5860418565667663 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701634_0.png resize: (88, 87) 1351379684 -0.5860418565667663 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694432_0.png resize: (110, 193) 1351379685 -1.3714276212859962 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701642_0.png resize: (110, 193) 1351379686 -1.3714276212859962 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694444_0.png resize: (321, 487) 1351379687 -4.296580457462795 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701630_0.png resize: (321, 487) 1351379688 -4.296580457462795 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694428_0.png resize: (109, 71) 1351379689 -2.4634521054676264 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701646_0.png resize: (109, 71) 1351379691 -2.4634521054676264 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694427_0.png resize: (412, 225) 1351379693 -3.614999144230946 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694443_0.png resize: (115, 215) 1351379695 -3.885509230940235 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694437_0.png resize: (161, 154) 1351379697 -1.3393608410485673 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701637_0.png resize: (161, 154) 1351379699 -1.3393608410485673 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701631_0.png resize: (115, 215) 1351379701 -3.885509230940235 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701647_0.png resize: (412, 225) 1351379703 -3.614999144230946 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694435_0.png resize: (203, 106) 1351379705 -1.437872246518405 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701639_0.png resize: (203, 105) 1351379707 -2.425215880519142 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694430_0.png resize: (373, 312) 1351379709 -3.4130960744017034 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694431_0.png resize: (217, 160) 1351379711 -1.7714003479766944 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701643_0.png resize: (217, 160) 1351379713 -1.7714003479766944 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694424_0.png resize: (275, 148) 1351379715 -1.7109370900705199 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701650_0.png resize: (275, 148) 1351379717 -1.7109370900705199 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701644_0.png resize: (373, 312) 1351379719 -3.4130960744017034 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694446_0.png resize: (95, 84) 1351379721 -2.850389029532214 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701628_0.png resize: (95, 84) 1351379723 -2.850389029532214 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694433_0.png resize: (118, 181) 1351379725 -3.184868729682989 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701641_0.png resize: (118, 181) 1351379728 -3.184868729682989 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694441_0.png resize: (204, 125) 1351379729 -3.294912574423389 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701633_0.png resize: (204, 125) 1351379730 -3.294912574423389 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694423_0.png resize: (121, 157) 1351379731 -3.3493233997453413 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701651_0.png resize: (121, 157) 1351379732 -3.3493233997453413 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694439_0.png resize: (106, 117) 1351379733 -1.2519461374376308 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701635_0.png resize: (106, 117) 1351379734 -1.2519461374376308 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694449_0.png resize: (638, 475) 1351379735 -1.9263264762852188 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694471_0.png resize: (325, 260) 1351379736 0.036188094691751056 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701655_0.png resize: (325, 260) 1351379737 0.036188094691751056 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701665_0.png resize: (638, 475) 1351379738 -1.9263264762852188 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694457_0.png resize: (204, 383) 1351379739 -1.6964706333220285 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701673_0.png resize: (204, 382) 1351379740 -1.2261018144458598 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694459_0.png resize: (176, 194) 1351379741 -2.01126688052483 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694447_0.png resize: (201, 180) 1351379742 -1.250742482543374 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701682_0.png resize: (176, 194) 1351379743 -2.01126688052483 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701674_0.png resize: (201, 180) 1351379744 -1.250742482543374 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694450_0.png resize: (105, 221) 1351379745 -1.3941567947723703 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701666_0.png resize: (99, 205) 1351379747 -0.9140040234157092 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694478_0.png resize: (125, 225) 1351379748 -1.9985484267257403 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701676_0.png resize: (125, 225) 1351379749 -1.9985484267257403 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694468_0.png resize: (233, 390) 1351379750 -1.277575721933324 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701663_0.png resize: (233, 390) 1351379751 -1.277575721933324 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694472_0.png resize: (186, 353) 1351379752 -1.9637927668560706 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701683_0.png resize: (186, 353) 1351379753 -1.9637927668560706 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694477_0.png resize: (177, 330) 1351379754 -2.2193793618408817 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701658_0.png resize: (177, 330) 1351379755 -2.2193793618408817 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694456_0.png resize: (188, 173) 1351379756 3.098521915810294 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694458_0.png resize: (202, 207) 1351379757 -1.426028176952661 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701670_0.png resize: (188, 173) 1351379758 3.098521915810294 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701661_0.png resize: (202, 207) 1351379759 -1.426028176952661 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694474_0.png resize: (292, 312) 1351379760 -1.7214418624452608 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701675_0.png resize: (292, 312) 1351379761 -1.7214418624452608 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694461_0.png resize: (197, 133) 1351379762 -0.684377083359699 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701669_0.png resize: (197, 133) 1351379763 -0.684377083359699 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694448_0.png resize: (432, 317) 1351379764 -1.7626931955681786 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701659_0.png resize: (196, 181) 1351379765 -0.6376795713664667 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694455_0.png resize: (196, 181) 1351379766 -0.6376795713664667 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701679_0.png resize: (432, 317) 1351379768 -1.7626931955681786 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694470_0.png resize: (134, 102) 1351379769 0.26059433299432255 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701664_0.png resize: (134, 102) 1351379770 0.26059433299432255 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701668_0.png resize: (255, 195) 1351379771 -0.30966630507010523 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694452_0.png resize: (300, 195) 1351379772 -0.5602770235136693 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694465_0.png resize: (203, 173) 1351379773 -1.431309908741304 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701671_0.png resize: (203, 173) 1351379774 -1.4322614641437221 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694451_0.png resize: (164, 127) 1351379775 -0.11637902329381454 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701667_0.png resize: (164, 127) 1351379776 -0.11637902329381454 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694475_0.png resize: (84, 197) 1351379777 -1.9932613767063079 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701685_0.png resize: (84, 197) 1351379778 -1.9932613767063079 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694453_0.png resize: (404, 464) 1351379779 -1.6057037988207719 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701662_0.png resize: (404, 464) 1351379780 -1.6057037988207719 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694473_0.png resize: (299, 251) 1351379781 -2.2361483373256585 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701677_0.png resize: (299, 251) 1351379782 -2.2361483373256585 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694469_0.png resize: (213, 176) 1351379783 -2.074409126229981 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701660_0.png resize: (26, 43) 1351379785 -0.038420164671478525 treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754694501_0.png resize: (177, 815) 1351379786 1.5762786447638917 treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754702311_0.png resize: (177, 815) 1351379788 1.5762786447638917 treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754694497_0.png resize: (384, 190) 1351379790 -0.7283759761559934 treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754702315_0.png resize: (384, 190) 1351379791 -0.7283759761559934 treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754694495_0.png resize: (207, 324) 1351379792 0.09648055943972464 treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754702317_0.png resize: (207, 324) 1351379794 0.09648055943972464 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694504_0.png resize: (210, 222) 1351379795 -0.3121847045981045 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702334_0.png resize: (210, 222) 1351379796 -0.3121847045981045 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694511_0.png resize: (172, 284) 1351379798 -1.189205656296125 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702327_0.png resize: (172, 284) 1351379799 -1.189205656296125 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694507_0.png resize: (886, 647) 1351379800 -0.6929212197971898 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702331_0.png resize: (886, 647) 1351379802 -0.6929212197971898 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3755472342_0.png resize: (707, 603) 1351379803 -0.7201104745171275 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694517_0.png resize: (712, 603) 1351379804 -0.7139568136011345 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702321_0.png resize: (712, 603) 1351379806 -0.7139568136011345 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694528_0.png resize: (206, 171) 1351379807 -1.118809769600446 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3755472343_0.png resize: (244, 226) 1351379808 -2.1948811156335375 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694521_0.png resize: (250, 226) 1351379810 -2.2677529255240456 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702425_0.png resize: (250, 226) 1351379811 -2.2677529255240456 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702418_0.png resize: (206, 171) 1351379812 -1.118809769600446 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694536_0.png resize: (146, 206) 1351379814 -2.4960406533960864 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702410_0.png resize: (146, 206) 1351379815 -2.4960406533960864 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694541_0.png resize: (134, 125) 1351379816 -2.3725923895957814 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702405_0.png resize: (134, 125) 1351379817 -2.3725923895957814 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694526_0.png resize: (418, 758) 1351379819 -0.050717353822382814 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702420_0.png resize: (418, 758) 1351379820 -0.050717353822382814 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694520_0.png resize: (496, 327) 1351379821 -2.3752399794538763 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702426_0.png resize: (496, 327) 1351379823 -2.3752399794538763 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694539_0.png resize: (354, 181) 1351379824 -2.9048135732571447 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702407_0.png resize: (354, 181) 1351379825 -2.9048135732571447 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694523_0.png resize: (383, 199) 1351379827 -1.4978762668806482 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702423_0.png resize: (383, 199) 1351379828 -1.4978762668806482 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694535_0.png resize: (267, 258) 1351379829 -3.2424722351384916 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702411_0.png resize: (267, 258) 1351379831 -3.2424722351384916 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694545_0.png resize: (74, 346) 1351379832 -0.35034241646162334 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702428_0.png resize: (74, 346) 1351379833 -0.35034241646162334 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694543_0.png resize: (422, 341) 1351379835 -1.979409885413769 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702434_0.png resize: (422, 341) 1351379836 -1.979409885413769 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694569_0.png resize: (167, 121) 1351379837 -2.174693866449327 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702441_0.png resize: (167, 121) 1351379839 -2.174693866449327 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694549_0.png resize: (362, 310) 1351379840 -2.5898732653654895 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702433_0.png resize: (362, 310) 1351379841 -2.5898732653654895 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694544_0.png resize: (411, 402) 1351379843 -4.391718821959791 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702444_0.png resize: (411, 402) 1351379844 -4.391718821959791 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694562_0.png resize: (234, 277) 1351379845 -2.9391877088505765 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702437_0.png resize: (234, 277) 1351379847 -2.9391877088505765 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694568_0.png resize: (182, 150) 1351379848 -4.2342948949095724 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702451_0.png resize: (182, 150) 1351379849 -4.2342948949095724 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694567_0.png resize: (153, 211) 1351379851 -3.025621413882422 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694555_0.png resize: (132, 200) 1351379852 -3.510056404844993 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702436_0.png resize: (132, 200) 1351379853 -3.510056404844993 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702442_0.png resize: (153, 211) 1351379855 -3.025621413882422 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694566_0.png resize: (143, 61) 1351379856 1.7157686280898432 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702435_0.png resize: (143, 61) 1351379858 -3.2750040328032575 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694554_0.png resize: (99, 146) 1351379860 -1.5844654595467753 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702457_0.png resize: (99, 146) 1351379861 -1.5844654595467753 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694546_0.png resize: (263, 159) 1351379862 -2.013477833294036 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702439_0.png resize: (263, 159) 1351379864 -2.013477833294036 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694558_0.png resize: (241, 203) 1351379865 -2.569341533463944 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702449_0.png resize: (241, 203) 1351379866 -2.569341533463944 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694551_0.png resize: (86, 135) 1351379868 -2.4714384842226367 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702431_0.png resize: (86, 135) 1351379869 -2.4714384842226367 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694570_0.png resize: (337, 355) 1351379870 -3.0495396926809093 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702443_0.png resize: (337, 355) 1351379872 -3.0495396926809093 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694565_0.png resize: (177, 130) 1351379873 -3.258967287677706 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702455_0.png resize: (177, 130) 1351379874 -3.258967287677706 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694559_0.png resize: (288, 435) 1351379876 -4.04013077501749 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702450_0.png resize: (288, 435) 1351379877 -4.04013077501749 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694563_0.png resize: (333, 462) 1351379878 -2.6213435494706965 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702452_0.png resize: (333, 462) 1351379880 -2.6213435494706965 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694572_0.png resize: (156, 258) 1351379883 -1.706336915772341 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702440_0.png resize: (156, 258) 1351379886 -1.706336915772341 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694553_0.png resize: (327, 242) 1351379888 -2.0021587054493155 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702453_0.png resize: (327, 242) 1351379892 -2.0021587054493155 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694561_0.png resize: (110, 88) 1351379895 -0.6406793560216673 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702456_0.png resize: (110, 88) 1351379897 -0.6406793560216673 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694586_0.png resize: (176, 167) 1351379899 -1.7234213947307855 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703777_0.png resize: (176, 167) 1351379902 -1.7234213947307855 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694576_0.png resize: (384, 283) 1351379904 -1.7462735331468187 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703787_0.png resize: (384, 283) 1351379906 -1.7462735331468187 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694588_0.png resize: (141, 138) 1351379909 -1.927784732094714 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703775_0.png resize: (141, 138) 1351379911 -1.927784732094714 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694587_0.png resize: (140, 99) 1351379913 -2.435441016792205 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703776_0.png resize: (140, 99) 1351379915 -2.435441016792205 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694580_0.png resize: (92, 146) 1351379917 -2.585712712810107 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703783_0.png resize: (92, 146) 1351379919 -2.585712712810107 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694581_0.png resize: (797, 475) 1351379922 -0.8583166693323308 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703782_0.png resize: (797, 475) 1351379924 -0.8583166693323308 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694592_0.png resize: (208, 160) 1351379926 -1.1611674132403271 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703771_0.png resize: (208, 160) 1351379928 -1.1611674132403271 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694590_0.png resize: (352, 490) 1351379930 -2.6679176240110896 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703773_0.png resize: (352, 490) 1351379932 -2.6679176240110896 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3755472345_0.png resize: (237, 204) 1351379934 -3.1401991621237535 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694585_0.png resize: (234, 204) 1351379936 -3.1867763802460867 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703778_0.png resize: (234, 204) 1351379938 -3.1867763802460867 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694584_0.png resize: (532, 759) 1351379940 -3.0268908666528658 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703779_0.png resize: (532, 759) 1351379942 -3.0268908666528658 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703789_0.png resize: (464, 737) 1351379944 -1.3688795804465397 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694574_0.png resize: (464, 737) 1351379946 -1.3688795804465397 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703788_0.png resize: (344, 198) 1351379949 0.1707188143206422 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694575_0.png resize: (344, 198) 1351379950 0.1707188143206422 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471833_0.png resize: (854, 622) 1351380584 -2.1214417536239614 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471842_0.png resize: (70, 265) 1351380588 -1.4672741188424474 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471847_0.png resize: (139, 200) 1351380589 -1.6776301559816345 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471841_0.png resize: (136, 247) 1351380592 -3.4918578177608897 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471837_0.png resize: (178, 247) 1351380593 -2.0498014787236447 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471856_0.png resize: (138, 169) 1351380596 -2.7838520630010666 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471870_0.png resize: (538, 337) 1351380600 -1.1388260734210691 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471834_0.png resize: (188, 169) 1351380601 -0.9239715678126987 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471906_0.png resize: (69, 153) 1351380603 -2.274598968578157 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471877_0.png resize: (150, 217) 1351380606 -2.2225341862438768 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471910_0.png resize: (414, 320) 1351380607 -3.6575950399646997 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471920_0.png resize: (179, 228) 1351380608 -3.68127756493762 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471905_0.png resize: (172, 156) 1351380611 -3.9210942209515878 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471892_0.png resize: (118, 136) 1351380612 -2.8996049215940034 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471878_0.png resize: (138, 206) 1351380614 -3.8303781431571524 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471987_0.png resize: (171, 99) 1351380616 -2.49985085293802 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471927_0.png resize: (146, 214) 1351380620 -2.162567142920266 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471984_0.png resize: (101, 193) 1351380623 -3.7424970419941768 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471981_0.png resize: (166, 219) 1351380626 -3.8467639168985985 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471970_0.png resize: (183, 165) 1351380627 -4.354793008328465 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471957_0.png resize: (162, 83) 1351380628 -1.9164142486656044 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471962_0.png resize: (201, 287) 1351380630 -4.284359407966502 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471940_0.png resize: (142, 202) 1351380631 -3.7009039237788075 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472018_0.png resize: (1013, 998) 1351380632 -3.2617170167647065 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472014_0.png resize: (109, 162) 1351380634 -1.1220246738638897 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471996_0.png resize: (257, 224) 1351380635 -3.410211180940364 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472031_0.png resize: (266, 299) 1351380636 -3.983168680787862 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472019_0.png resize: (125, 157) 1351380638 -4.350706968938436 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472016_0.png resize: (46, 192) 1351380639 -3.561511229425937 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472009_0.png resize: (153, 209) 1351380640 -3.0389732352971555 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472000_0.png resize: (357, 221) 1351380642 -3.4152602328477495 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472002_0.png resize: (243, 166) 1351380643 -1.9282359478700846 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472034_0.png resize: (126, 167) 1351380645 1.2485093804598908 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472040_0.png resize: (139, 200) 1351380646 -5.13598146309506 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472038_0.png resize: (118, 144) 1351380663 -3.2204434350234754 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472042_0.png resize: (114, 225) 1351380664 -0.7522449582954525 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472069_0.png resize: (346, 219) 1351380665 -1.036911417862234 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472071_0.png resize: (140, 114) 1351380667 -0.1397226918737275 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472072_0.png resize: (797, 1690) 1351380669 -1.1545209342810263 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693931_0.png resize: (141, 267) 1351380670 -1.4789651909544252 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700254_0.png resize: (141, 267) 1351380672 -1.4789651909544252 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693943_0.png resize: (115, 81) 1351380673 0.18373588562498647 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700250_0.png resize: (115, 81) 1351380674 0.18373588562498647 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693945_0.png resize: (171, 109) 1351380677 -2.919223183097554 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700246_0.png resize: (171, 109) 1351380678 -2.919223183097554 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693957_0.png resize: (143, 129) 1351380680 -3.2774730958785883 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700247_0.png resize: (143, 129) 1351380682 -3.2774730958785883 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693949_0.png resize: (217, 235) 1351380683 -2.1455794218478106 treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700253_0.png resize: (217, 235) 1351380685 -2.1455794218478106 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693969_0.png resize: (812, 359) 1351380686 -1.5245593799588237 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700842_0.png resize: (812, 359) 1351380687 -1.5245593799588237 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693971_0.png resize: (219, 314) 1351380689 -1.569692162927559 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700862_0.png resize: (219, 314) 1351380690 -1.569692162927559 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693991_0.png resize: (255, 352) 1351380691 -2.2633106823915474 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700847_0.png resize: (255, 352) 1351380693 -2.2633106823915474 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693988_0.png resize: (218, 253) 1351380694 -2.4891248490843263 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700853_0.png resize: (218, 253) 1351380696 -2.4891248490843263 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693963_0.png resize: (208, 247) 1351380698 -1.800034919636645 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700848_0.png resize: (208, 247) 1351380699 -1.800034919636645 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694024_0.png resize: (144, 189) 1351380702 -0.0024070995320776855 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700871_0.png resize: (144, 189) 1351380703 -0.0024070995320776855 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694007_0.png resize: (220, 230) 1351380704 -3.272652918182172 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700881_0.png resize: (220, 230) 1351380705 -3.272652918182172 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694020_0.png resize: (167, 345) 1351380707 -3.5740809901483375 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700896_0.png resize: (167, 345) 1351380708 -3.5740809901483375 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694050_0.png resize: (185, 303) 1351380710 -2.507627107201979 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700916_0.png resize: (185, 303) 1351380711 -2.507627107201979 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694046_0.png resize: (110, 161) 1351380712 -1.3678507789320267 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700910_0.png resize: (110, 161) 1351380714 -1.3678507789320267 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694056_0.png resize: (143, 216) 1351380715 -2.3057959204933103 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700929_0.png resize: (143, 216) 1351380716 -2.344944094280026 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694035_0.png resize: (124, 147) 1351380717 -1.6933914917303847 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700905_0.png resize: (124, 147) 1351380719 -1.6933914917303847 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694033_0.png resize: (146, 173) 1351380720 -2.215591101402585 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700926_0.png resize: (146, 173) 1351380721 -2.215591101402585 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694048_0.png resize: (211, 251) 1351380723 -2.6894516376116893 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700928_0.png resize: (211, 251) 1351380724 -2.6894516376116893 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694055_0.png resize: (172, 83) 1351380727 -2.730297634137902 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700921_0.png resize: (172, 83) 1351380728 -2.2066425952419815 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694026_0.png resize: (173, 202) 1351380729 -1.5158057789237862 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700919_0.png resize: (173, 202) 1351380730 -1.5158057789237862 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694037_0.png resize: (64, 178) 1351380732 -3.044572074412969 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700924_0.png resize: (64, 178) 1351380733 -3.044572074412969 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694054_0.png resize: (104, 156) 1351380734 -2.195017707249855 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700922_0.png resize: (104, 156) 1351380736 -2.195017707249855 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694032_0.png resize: (147, 140) 1351380737 -0.9595299020201452 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700903_0.png resize: (147, 140) 1351380738 -0.9595299020201452 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694041_0.png resize: (197, 166) 1351380742 -0.9552349631649132 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700917_0.png resize: (197, 166) 1351380743 -0.9552349631649132 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694067_0.png resize: (125, 117) 1351380744 -0.6103204111432271 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700960_0.png resize: (125, 117) 1351380746 -0.6103204111432271 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694087_0.png resize: (169, 151) 1351380747 -2.709069954862454 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700935_0.png resize: (169, 151) 1351380748 -2.709069954862454 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694070_0.png resize: (137, 158) 1351380750 -3.8440201004578176 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700952_0.png resize: (137, 158) 1351380751 -3.8440201004578176 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694076_0.png resize: (126, 143) 1351380752 -1.2011401245109972 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3755472076_0.png resize: (126, 139) 1351380754 -1.1986233604718675 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700938_0.png resize: (126, 143) 1351380755 -1.2011401245109972 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694074_0.png resize: (69, 129) 1351380756 -2.9555832045916635 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700953_0.png resize: (69, 129) 1351380760 -2.9555832045916635 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694150_0.png resize: (200, 177) 1351380761 -2.5133836937631653 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701140_0.png resize: (200, 177) 1351380762 -2.5133836937631653 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694127_0.png resize: (144, 199) 1351380764 -1.6800667125543227 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701128_0.png resize: (144, 199) 1351380765 -1.6800667125543227 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694118_0.png resize: (317, 283) 1351380766 -2.1404246938324727 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701123_0.png resize: (317, 283) 1351380767 -2.1404246938324727 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694145_0.png resize: (111, 153) 1351380769 -3.2651322344269835 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701118_0.png resize: (111, 153) 1351380770 -3.2651322344269835 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694140_0.png resize: (165, 162) 1351380771 -2.6934842843639113 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701144_0.png resize: (165, 162) 1351380773 -2.6934842843639113 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694147_0.png resize: (114, 134) 1351380774 -2.6309813015800834 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701121_0.png resize: (114, 134) 1351380775 -2.6309813015800834 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694163_0.png resize: (119, 261) 1351380777 -2.2337206490765356 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701287_0.png resize: (119, 261) 1351380778 -2.2337206490765356 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694193_0.png resize: (172, 121) 1351380779 -3.4738382672831225 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701292_0.png resize: (172, 121) 1351380781 -3.47464002869851 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694197_0.png resize: (188, 112) 1351380782 -4.8183344859935895 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701275_0.png resize: (188, 112) 1351380784 -4.8183344859935895 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694183_0.png resize: (289, 378) 1351380785 -3.375141612924322 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701309_0.png resize: (289, 378) 1351380786 -3.375141612924322 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694190_0.png resize: (78, 191) 1351380788 -2.554371220731664 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701306_0.png resize: (78, 191) 1351380789 -2.554371220731664 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694184_0.png resize: (156, 357) 1351380790 -3.991096403606374 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701276_0.png resize: (156, 357) 1351380792 -3.991096403606374 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694252_0.png resize: (162, 361) 1351380793 -2.8814231595103577 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701339_0.png resize: (162, 361) 1351380795 -2.8814231595103577 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694255_0.png resize: (152, 80) 1351380797 0.5449864349423945 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701345_0.png resize: (117, 72) 1351380798 6.211671000656817 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694221_0.png resize: (211, 109) 1351380799 -3.741276918543686 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701343_0.png resize: (211, 109) 1351380802 -3.741276918543686 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694242_0.png resize: (370, 471) 1351380803 -3.5242379046314873 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694227_0.png resize: (360, 387) 1351380804 -3.4689162477199966 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701340_0.png resize: (269, 411) 1351380806 3.281029148561923 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701347_0.png resize: (360, 387) 1351380807 -3.4689162477199966 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701316_0.png resize: (101, 188) 1351380808 -4.549006771899586 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694253_0.png resize: (101, 188) 1351380810 -4.549006771899586 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694244_0.png resize: (320, 291) 1351380811 -2.367533267590658 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701365_0.png resize: (320, 291) 1351380812 -2.367533267590658 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694233_0.png resize: (85, 227) 1351380813 -2.4262325081003544 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701360_0.png resize: (85, 227) 1351380814 -2.4262325081003544 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694211_0.png resize: (115, 92) 1351380815 -3.1304442135365145 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701330_0.png resize: (115, 92) 1351380816 -3.1304442135365145 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701321_0.png resize: (168, 368) 1351380817 -3.7900504130258525 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694216_0.png resize: (168, 368) 1351380818 -3.7900504130258525 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694235_0.png resize: (142, 255) 1351380821 -3.370196587679302 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701324_0.png resize: (142, 255) 1351380822 -3.4274869746631764 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694262_0.png resize: (121, 117) 1351380823 -1.334967369460303 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701411_0.png resize: (121, 117) 1351380824 -1.334967369460303 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694276_0.png resize: (81, 146) 1351380825 -1.380242263357106 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701410_0.png resize: (81, 146) 1351380826 -1.380242263357106 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3755472338_0.png resize: (182, 290) 1351380827 -4.047135426371329 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694303_0.png resize: (182, 290) 1351380828 -4.033887540539972 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701426_0.png resize: (182, 290) 1351380829 -4.033887540539972 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3755472337_0.png resize: (148, 149) 1351380830 -2.125906133448892 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3755472335_0.png resize: (120, 300) 1351380831 -4.000764876837554 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694298_0.png resize: (120, 297) 1351380832 -4.006749069918086 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701431_0.png resize: (120, 297) 1351380833 -0.3546809710898071 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694284_0.png resize: (171, 125) 1351380834 0.676536440141501 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701445_0.png resize: (171, 125) 1351380835 0.676536440141501 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701441_0.png resize: (116, 232) 1351380836 -0.6137437937211401 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694288_0.png resize: (116, 232) 1351380837 -0.6137437937211401 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701442_0.png resize: (122, 134) 1351380838 -1.9487091404106829 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694287_0.png resize: (122, 134) 1351380839 -1.9487091404106829 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694299_0.png resize: (284, 139) 1351380841 -4.857508898001813 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701430_0.png resize: (284, 139) 1351380842 -4.8490798096529435 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694334_0.png resize: (178, 191) 1351380843 -2.408442888871035 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701450_0.png resize: (178, 191) 1351380844 -2.408442888871035 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694321_0.png resize: (255, 215) 1351380846 -2.321940558752346 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701461_0.png resize: (255, 215) 1351380847 -2.321940558752346 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694342_0.png resize: (175, 135) 1351380848 -3.693687380969049 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701452_0.png resize: (175, 135) 1351380849 -3.693687380969049 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694344_0.png resize: (142, 141) 1351380850 -4.691732711604962 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701485_0.png resize: (142, 141) 1351380852 -4.691732711604962 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694348_0.png resize: (177, 203) 1351380853 -3.720258749568206 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694319_0.png resize: (179, 129) 1351380854 -4.3297284104481255 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701464_0.png resize: (167, 203) 1351380855 -2.6180400470708602 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701487_0.png resize: (179, 129) 1351380856 -4.3297284104481255 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694347_0.png resize: (360, 288) 1351380857 -5.498069051070132 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701460_0.png resize: (360, 288) 1351380858 -5.498069051070132 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694304_0.png resize: (359, 239) 1351380859 -3.536375339400771 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701457_0.png resize: (359, 239) 1351380861 -3.536375339400771 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694360_0.png resize: (188, 191) 1351380862 -2.618928890248039 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701497_0.png resize: (188, 191) 1351380863 -2.618928890248039 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694367_0.png resize: (259, 221) 1351380864 -2.288935890053179 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701506_0.png resize: (259, 221) 1351380865 -2.288935890053179 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694375_0.png resize: (146, 120) 1351380866 -2.2513395100490117 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701498_0.png resize: (146, 120) 1351380867 -2.2513395100490117 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694357_0.png resize: (154, 134) 1351380868 -4.759275774792015 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701525_0.png resize: (154, 134) 1351380869 -4.759275774792015 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694380_0.png resize: (173, 137) 1351380870 -4.67901846853208 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701526_0.png resize: (173, 137) 1351380872 -4.67901846853208 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694363_0.png resize: (187, 194) 1351380873 -3.4862826634541397 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701493_0.png resize: (187, 194) 1351380874 -3.4862826634541397 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694349_0.png resize: (358, 250) 1351380876 -3.5358167733363497 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701501_0.png resize: (358, 250) 1351380878 -3.5358167733363497 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694408_0.png resize: (256, 223) 1351380879 -2.5868391982009142 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701540_0.png resize: (256, 223) 1351380880 -2.5868391982009142 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694418_0.png resize: (130, 131) 1351380881 -3.644174134564418 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701559_0.png resize: (130, 131) 1351380882 -3.644174134564418 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694414_0.png resize: (185, 367) 1351380883 -3.5668508854669185 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701546_0.png resize: (178, 367) 1351380885 -1.1092481606939497 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694417_0.png resize: (239, 199) 1351380886 -2.860274468417222 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701541_0.png resize: (239, 199) 1351380887 -2.860274468417222 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694390_0.png resize: (338, 237) 1351380888 -3.323183548566192 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701537_0.png resize: (338, 237) 1351380889 -3.323183548566192 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694422_0.png resize: (131, 223) 1351380890 -0.770419125757685 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701652_0.png resize: (131, 223) 1351380891 -0.770419125757685 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694442_0.png resize: (90, 123) 1351380892 -0.5184054807999545 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701632_0.png resize: (90, 123) 1351380894 -0.5184054807999545 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694429_0.png resize: (131, 349) 1351380895 -3.74339914650875 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701645_0.png resize: (131, 349) 1351380896 -3.74339914650875 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694463_0.png resize: (150, 230) 1351380897 -1.7466569842682809 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701680_0.png resize: (150, 230) 1351380898 -1.7466569842682809 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694464_0.png resize: (570, 568) 1351380899 -2.4475071962113137 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701656_0.png resize: (570, 568) 1351380900 -2.4475071962113137 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694467_0.png resize: (356, 368) 1351380901 -1.9931648077311617 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701672_0.png resize: (356, 368) 1351380902 -1.9931648077311617 treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754694500_0.png resize: (578, 1287) 1351380903 -1.625363978576892 treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754702312_0.png resize: (578, 1287) 1351380904 -1.625363978576892 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694506_0.png resize: (266, 517) 1351380905 0.20888031208288577 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702332_0.png resize: (266, 517) 1351380906 0.20888031208288577 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694512_0.png resize: (399, 389) 1351380907 -1.4134393899163404 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702326_0.png resize: (379, 389) 1351380908 -1.2625517726640687 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694505_0.png resize: (1093, 967) 1351380909 -0.9920416810304098 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702333_0.png resize: (1093, 967) 1351380910 -0.9920416810304098 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694503_0.png resize: (85, 173) 1351380911 0.013265750339982065 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702335_0.png resize: (85, 173) 1351380912 0.013265750339982065 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694502_0.png resize: (218, 656) 1351380913 -0.6545454486829703 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702336_0.png resize: (218, 656) 1351380915 -0.6545454486829703 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694508_0.png resize: (136, 285) 1351380916 -0.650070049183682 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702330_0.png resize: (136, 285) 1351380917 -0.650070049183682 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694513_0.png resize: (383, 324) 1351380918 -2.372367226146717 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702325_0.png resize: (383, 323) 1351380919 -2.411874237165036 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694514_0.png resize: (204, 190) 1351380920 -0.5775817706587064 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702324_0.png resize: (204, 190) 1351380922 -0.5775817706587064 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694519_0.png resize: (835, 571) 1351380924 -0.4437641080458627 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702319_0.png resize: (835, 542) 1351380925 -0.7337023001790858 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694531_0.png resize: (431, 280) 1351380926 -3.3040821066839885 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702415_0.png resize: (431, 280) 1351380928 -3.3040821066839885 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694530_0.png resize: (246, 150) 1351380929 -2.125082222643285 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702416_0.png resize: (246, 150) 1351380930 -2.125082222643285 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694532_0.png resize: (110, 144) 1351380934 -1.1215518402478322 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702414_0.png resize: (110, 144) 1351380935 -1.1215518402478322 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694525_0.png resize: (189, 312) 1351380936 -1.535707723291333 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702421_0.png resize: (189, 312) 1351380937 -1.535707723291333 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694533_0.png resize: (233, 151) 1351380938 -2.240970724561851 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702413_0.png resize: (233, 151) 1351380939 -2.240970724561851 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694537_0.png resize: (143, 212) 1351380941 -2.8128483484079756 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702409_0.png resize: (143, 212) 1351380942 -2.8128483484079756 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694542_0.png resize: (125, 280) 1351380943 -1.4496080757042096 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702404_0.png resize: (125, 280) 1351380944 -1.4496080757042096 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694538_0.png resize: (134, 170) 1351380945 -2.4729997909234687 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702408_0.png resize: (134, 170) 1351380946 -2.4729997909234687 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694548_0.png resize: (155, 207) 1351380947 -2.1114075618102683 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702446_0.png resize: (155, 207) 1351380948 -2.1114075618102683 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694550_0.png resize: (235, 190) 1351380949 -2.2007128621905805 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702447_0.png resize: (235, 190) 1351380950 -2.2007128621905805 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694560_0.png resize: (313, 266) 1351380951 -2.2368868353132583 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702445_0.png resize: (313, 266) 1351380952 -2.2368868353132583 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694593_0.png resize: (214, 104) 1351380953 -1.3413814753471274 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703770_0.png resize: (214, 104) 1351380954 -1.3413814753471274 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694578_0.png resize: (153, 199) 1351380955 -0.6188993249324839 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703785_0.png resize: (153, 199) 1351380956 -0.6188993249324839 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694591_0.png resize: (199, 188) 1351380957 -2.172639536618972 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694589_0.png resize: (52, 151) 1351380958 -1.3270902041306836 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703774_0.png resize: (52, 151) 1351380959 -1.3270902041306836 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703772_0.png resize: (199, 188) 1351380960 -2.172639536618972 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471990_0.png resize: (164, 160) 1351380966 -3.461418151897919 treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472056_0.png resize: (103, 110) 1351380967 -1.7367587698994646 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471854_0.png resize: (158, 90) 1351381088 -2.6127478585950583 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471850_0.png resize: (376, 201) 1351381090 -2.8625670337275206 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471863_0.png resize: (162, 247) 1351381092 -3.3106171942438842 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471865_0.png resize: (267, 201) 1351381095 -3.9416142403903653 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471875_0.png resize: (461, 379) 1351381096 -2.3206072564657516 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472015_0.png resize: (219, 216) 1351381097 -4.277088688090715 treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472021_0.png resize: (174, 152) 1351381098 -3.5413515394863895 treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472068_0.png resize: (242, 244) 1351381099 -2.1228698600998457 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693979_0.png resize: (261, 155) 1351381100 -3.353367216165074 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700839_0.png resize: (261, 155) 1351381101 -3.353367216165074 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693961_0.png resize: (385, 689) 1351381102 -1.4818603437207818 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700838_0.png resize: (385, 689) 1351381103 -1.4818603437207818 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693980_0.png resize: (598, 403) 1351381104 -1.8373339445525239 treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700836_0.png resize: (598, 403) 1351381105 -1.8373339445525239 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694011_0.png resize: (524, 523) 1351381106 -1.5793711669105135 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700867_0.png resize: (524, 523) 1351381107 -1.5793711669105135 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694017_0.png resize: (296, 339) 1351381108 -3.835338693774655 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700876_0.png resize: (296, 339) 1351381109 -3.835338693774655 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694004_0.png resize: (324, 154) 1351381110 -3.0478965835224385 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700875_0.png resize: (324, 154) 1351381113 -3.0478965835224385 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694000_0.png resize: (589, 128) 1351381114 -2.672425771401349 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700870_0.png resize: (589, 128) 1351381115 -2.672425771401349 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694031_0.png resize: (166, 431) 1351381116 -2.9861198172987398 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700909_0.png resize: (166, 431) 1351381117 -2.9861198172987398 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694030_0.png resize: (428, 292) 1351381118 -2.4245709555181327 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700900_0.png resize: (428, 292) 1351381119 -2.4245709555181327 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694028_0.png resize: (226, 230) 1351381120 -2.334424420433924 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700906_0.png resize: (226, 230) 1351381121 -2.334424420433924 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694043_0.png resize: (221, 314) 1351381122 -2.722686936576823 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700920_0.png resize: (221, 314) 1351381124 -2.722686936576823 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694051_0.png resize: (329, 144) 1351381125 -2.426078483421321 treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700908_0.png resize: (329, 144) 1351381126 -2.187756628993169 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694081_0.png resize: (182, 174) 1351381127 -4.449746958014217 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700936_0.png resize: (180, 174) 1351381128 -4.435360143379764 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694088_0.png resize: (198, 297) 1351381131 -4.40100427022094 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700959_0.png resize: (198, 297) 1351381134 -4.40100427022094 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694091_0.png resize: (170, 203) 1351381137 -1.8463614840351381 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700937_0.png resize: (170, 203) 1351381142 -1.8463614840351381 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694090_0.png resize: (302, 135) 1351381146 -4.7653337879429145 treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700934_0.png resize: (302, 135) 1351381149 -4.7653337879429145 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694120_0.png resize: (203, 348) 1351381152 -2.746175397224024 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701119_0.png resize: (203, 348) 1351381155 -2.746175397224024 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694131_0.png resize: (180, 511) 1351381158 -2.876514451483134 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701122_0.png resize: (180, 511) 1351381162 -2.876514451483134 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3755472086_0.png resize: (271, 240) 1351381165 -4.046427969011063 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694132_0.png resize: (264, 233) 1351381167 -4.062465051608857 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701152_0.png resize: (264, 233) 1351381169 -4.062465051608857 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694141_0.png resize: (272, 554) 1351381170 -3.539416379369125 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701120_0.png resize: (272, 554) 1351381171 -3.539416379369125 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694123_0.png resize: (506, 184) 1351381172 -2.117930196672271 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701136_0.png resize: (506, 184) 1351381173 -2.117930196672271 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694165_0.png resize: (589, 292) 1351381174 -3.104322214639727 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701271_0.png resize: (589, 292) 1351381175 -3.104322214639727 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694191_0.png resize: (300, 487) 1351381176 -3.55274682709215 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701283_0.png resize: (300, 487) 1351381177 -3.5478074070180976 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694200_0.png resize: (118, 401) 1351381178 -1.3260333108410083 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701312_0.png resize: (118, 401) 1351381179 -1.3260333108410083 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694187_0.png resize: (241, 288) 1351381180 -2.4548547096481093 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3755472333_0.png resize: (238, 290) 1351381181 -2.4570694094270813 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701296_0.png resize: (241, 288) 1351381182 -2.4548547096481093 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701318_0.png resize: (604, 357) 1351381183 -2.628963158597162 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694234_0.png resize: (604, 357) 1351381184 -2.486380432686845 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701317_0.png resize: (250, 612) 1351381185 -1.924718096327626 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694214_0.png resize: (250, 612) 1351381186 -1.924718096327626 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694213_0.png resize: (278, 366) 1351381187 -3.4340494939671613 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701331_0.png resize: (278, 366) 1351381188 -3.4340494939671613 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694237_0.png resize: (248, 260) 1351381189 -3.4168741202419213 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701329_0.png resize: (248, 260) 1351381190 -3.4168741202419213 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694249_0.png resize: (230, 216) 1351381191 -2.9013224988363353 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701346_0.png resize: (230, 216) 1351381192 -2.8981662054918824 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694238_0.png resize: (365, 198) 1351381193 -3.4817672071830756 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701335_0.png resize: (365, 198) 1351381194 -3.4817672071830756 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694282_0.png resize: (173, 207) 1351381195 -3.1279515516474454 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701414_0.png resize: (173, 207) 1351381196 -3.1279515516474454 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694279_0.png resize: (292, 397) 1351381197 -4.002780086511037 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701423_0.png resize: (292, 397) 1351381198 -4.151967544951863 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694294_0.png resize: (193, 241) 1351381199 -2.4889580444230823 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701435_0.png resize: (193, 241) 1351381200 -2.4889580444230823 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694295_0.png resize: (194, 295) 1351381202 -2.4669838291032047 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701434_0.png resize: (185, 295) 1351381203 -2.5428742419321955 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694333_0.png resize: (147, 241) 1351381204 -2.586657518604298 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701482_0.png resize: (147, 241) 1351381205 -2.586657518604298 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694309_0.png resize: (324, 319) 1351381207 -6.055344475559329 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701456_0.png resize: (324, 319) 1351381208 -6.055344475559329 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694327_0.png resize: (263, 299) 1351381209 -5.349950215688191 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701474_0.png resize: (263, 299) 1351381211 -5.349950215688191 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694337_0.png resize: (159, 205) 1351381212 -2.692347278709783 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701454_0.png resize: (159, 205) 1351381213 -2.692347278709783 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694336_0.png resize: (309, 385) 1351381214 -3.501507823580126 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701486_0.png resize: (309, 385) 1351381215 -3.501507823580126 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694351_0.png resize: (322, 445) 1351381216 -5.690167443073551 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701500_0.png resize: (322, 445) 1351381217 -5.690167443073551 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694378_0.png resize: (226, 597) 1351381218 -4.74389290664754 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701502_0.png resize: (226, 568) 1351381219 -4.702951211378507 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694383_0.png resize: (254, 293) 1351381220 -5.300270397736529 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701516_0.png resize: (254, 293) 1351381221 -5.300270397736529 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694420_0.png resize: (151, 241) 1351381222 -2.4483332784117113 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701563_0.png resize: (151, 241) 1351381223 -2.4483332784117113 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694404_0.png resize: (300, 335) 1351381224 -5.958217171913959 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701535_0.png resize: (300, 335) 1351381225 -5.958217171913959 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694416_0.png resize: (233, 303) 1351381226 -5.2025446871577925 treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701553_0.png resize: (233, 303) 1351381227 -5.2025446871577925 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694445_0.png resize: (315, 248) 1351381228 -3.9223484631515246 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701629_0.png resize: (315, 248) 1351381229 -3.9223484631515246 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694434_0.png resize: (137, 211) 1351381230 -2.760546828096626 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701640_0.png resize: (137, 211) 1351381231 -2.760546828096626 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694436_0.png resize: (219, 198) 1351381232 -3.6153506606950825 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701638_0.png resize: (219, 198) 1351381233 -3.6153506606950825 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694460_0.png resize: (196, 370) 1351381234 -1.8789547328871916 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3755472341_0.png resize: (196, 373) 1351381235 -1.8669912938601922 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701657_0.png resize: (196, 370) 1351381236 -1.8789547328871916 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694466_0.png resize: (247, 269) 1351381237 -1.733888850201992 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701681_0.png resize: (247, 269) 1351381238 -1.733888850201992 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694476_0.png resize: (524, 284) 1351381239 -1.903136755191325 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701678_0.png resize: (524, 284) 1351381240 -1.903136755191325 treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754694496_0.png resize: (265, 665) 1351381241 -1.5314749658882698 treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754702316_0.png resize: (265, 665) 1351381242 -1.5314749658882698 treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754694498_0.png resize: (174, 572) 1351381243 -0.6014076063690614 treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754702314_0.png resize: (174, 572) 1351381244 -0.6014076063690614 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694515_0.png resize: (807, 460) 1351381246 0.37730848375410425 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702323_0.png resize: (807, 460) 1351381247 0.37730848375410425 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694509_0.png resize: (182, 725) 1351381248 -2.289500992317436 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702329_0.png resize: (182, 725) 1351381249 -2.289500992317436 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694516_0.png resize: (306, 373) 1351381250 0.374673059143005 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702322_0.png resize: (306, 373) 1351381251 0.374673059143005 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694518_0.png resize: (253, 460) 1351381252 -1.9740353031117037 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702320_0.png resize: (253, 460) 1351381253 -1.9740353031117037 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694522_0.png resize: (510, 325) 1351381254 -2.939743469741505 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702424_0.png resize: (510, 325) 1351381255 -2.939743469741505 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694527_0.png resize: (241, 316) 1351381256 -2.180325503443743 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702419_0.png resize: (241, 316) 1351381257 -2.180325503443743 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694529_0.png resize: (294, 326) 1351381258 -1.8662788828356864 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702417_0.png resize: (294, 326) 1351381261 -1.8662788828356864 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694524_0.png resize: (344, 198) 1351381262 -3.2505756853299164 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702422_0.png resize: (344, 198) 1351381263 -3.2505756853299164 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694534_0.png resize: (479, 286) 1351381264 -2.2159228633243693 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702412_0.png resize: (479, 286) 1351381265 -2.2159228633243693 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694557_0.png resize: (286, 461) 1351381266 -2.4446610438595267 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702454_0.png resize: (286, 461) 1351381267 -2.4446610438595267 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694552_0.png resize: (128, 305) 1351381269 -2.83929345262379 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702432_0.png resize: (128, 305) 1351381270 -2.83929345262379 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694556_0.png resize: (148, 230) 1351381272 -1.956286057866261 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702430_0.png resize: (148, 230) 1351381273 -1.956286057866261 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694571_0.png resize: (212, 235) 1351381274 -1.721628715783597 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694547_0.png resize: (356, 557) 1351381275 -3.4716654089698125 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702429_0.png resize: (212, 235) 1351381277 -1.721628715783597 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702448_0.png resize: (356, 557) 1351381278 -3.4716654089698125 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3755472344_0.png resize: (282, 323) 1351381279 -4.588791770126532 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694564_0.png resize: (284, 323) 1351381280 -4.572208099683183 treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702438_0.png resize: (284, 323) 1351381281 -4.572208099683183 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694583_0.png resize: (212, 192) 1351381282 -2.094555295128923 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703780_0.png resize: (212, 192) 1351381283 -2.1161727405383135 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694579_0.png resize: (178, 174) 1351381284 -1.3255347558710582 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703784_0.png resize: (178, 174) 1351381285 -1.3255347558710582 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694582_0.png resize: (281, 353) 1351381286 -0.9877865901884688 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703781_0.png resize: (281, 353) 1351381287 -0.9877865901884688 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694573_0.png resize: (374, 415) 1351381288 -3.470764635987909 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703790_0.png resize: (374, 415) 1351381289 -3.470764635987909 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694577_0.png resize: (434, 222) 1351381290 -1.8940158446784443 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694594_0.png resize: (330, 211) 1351381291 -1.8460452077090581 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703786_0.png resize: (434, 222) 1351381292 -1.8940158446784443 treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703769_0.png resize: (330, 211) 1351381293 -1.8460452077090581 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471917_0.png resize: (229, 204) 1351381329 -4.530407455594921 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471916_0.png resize: (74, 81) 1351381333 -0.1861876353950119 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472045_0.png resize: (207, 183) 1351381335 -2.0003259476504933 treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472055_0.png resize: (116, 135) 1351381336 -1.3346720661465308 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700882_0.png resize: (110, 147) 1351381339 -1.3262045740598385 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694025_0.png resize: (110, 147) 1351381342 -1.3262045740598385 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694157_0.png resize: (187, 157) 1351381345 -1.4937185974939327 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701134_0.png resize: (172, 51) 1351381348 -1.6600766158184979 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694194_0.png resize: (196, 342) 1351381352 -3.3344995983968797 treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701272_0.png resize: (196, 342) 1351381353 -3.3344995983968797 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694239_0.png resize: (127, 138) 1351381354 -4.634235004151582 treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701334_0.png resize: (127, 138) 1351381355 -4.634235004151582 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694315_0.png resize: (154, 256) 1351381357 -5.122560634140787 treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701447_0.png resize: (154, 256) 1351381358 -5.122560634140787 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694384_0.png resize: (193, 213) 1351381359 -0.7568894469932743 treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701503_0.png resize: (193, 213) 1351381360 -0.7568894469932743 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694438_0.png resize: (281, 281) 1351381361 -2.377686194002593 treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701636_0.png resize: (281, 281) 1351381362 -2.377686194002593 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701654_0.png resize: (132, 229) 1351381363 -1.6815554720870767 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694462_0.png resize: (132, 229) 1351381364 -1.6815554720870767 treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754694499_0.png resize: (190, 243) 1351381365 -0.7894577415334645 treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754702313_0.png resize: (190, 243) 1351381366 -0.7894577415334645 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694510_0.png resize: (296, 303) 1351381367 -0.77344118122405 treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702328_0.png resize: (296, 303) 1351381368 -0.7443557208598702 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694540_0.png resize: (70, 79) 1351381369 3.1846791503520953 treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702406_0.png resize: (70, 79) 1351381370 3.1846791503520953 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471848_0.png resize: (114, 118) 1351381378 -1.062039606348215 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471857_0.png resize: (364, 245) 1351381379 -1.9992135831830569 treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471851_0.png resize: (339, 233) 1351381413 -2.491633575375577 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471901_0.png resize: (232, 247) 1351381414 -4.961919453647914 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471918_0.png resize: (203, 176) 1351381415 -2.202692884082989 treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471926_0.png resize: (196, 145) 1351381416 -3.2989777994488594 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471989_0.png resize: (84, 165) 1351381417 -4.405102593221414 treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471986_0.png resize: (209, 186) 1351381418 -2.3421637411876786 treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472039_0.png resize: (124, 262) 1351381419 -1.6664835717295743 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694005_0.png resize: (183, 191) 1351381420 -1.2594456371420597 treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700883_0.png resize: (183, 191) 1351381421 -1.2594456371420597 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694142_0.png resize: (159, 339) 1351381423 -3.654366115010968 treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701124_0.png resize: (159, 339) 1351381424 -3.654366115010968 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694272_0.png resize: (186, 226) 1351381425 -3.124590165617226 treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701401_0.png resize: (186, 226) 1351381426 -3.124590165617226 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694289_0.png resize: (207, 187) 1351381427 -0.9464019557275207 treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701440_0.png resize: (207, 187) 1351381428 -0.9464019557275207 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694454_0.png resize: (125, 532) 1351381429 -1.6014339702535543 treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701684_0.png resize: (125, 532) 1351381430 -1.6014339702535543 Inside saveOutput : final : False verbose : 0 begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 1615 time used for this insertion : 1.8144304752349854 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 1615 time used for this insertion : 0.3978440761566162 save missing photos in datou_result : time spend for datou_step_exec : 145.36427450180054 time spend to save output : 2.2295069694519043 total time spend for step 6 : 147.59378147125244 step7:brightness Fri Apr 11 01:03:41 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure inside step calcul brightness treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916.jpg treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5.jpg treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609.jpg treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa.jpg treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d.jpg treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc.jpg treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148.jpg treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d.jpg treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d.jpg treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3.jpg treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30.jpg treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f.jpg treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3.jpg treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889.jpg treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7.jpg treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c.jpg treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea.jpg treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175.jpg treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f.jpg treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99.jpg treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad.jpg treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80.jpg treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e.jpg treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7.jpg treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22.jpg treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a.jpg treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f.jpg treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337.jpg treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471835_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471840_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471844_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471869_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471839_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471858_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471859_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471846_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471871_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471872_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471843_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471845_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471855_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471867_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471838_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471862_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471864_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471852_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471873_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471861_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471874_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471866_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471849_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471868_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471876_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471853_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471836_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471860_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471890_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471900_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471895_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471880_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471881_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471925_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471894_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471887_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471883_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471888_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471903_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471879_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471907_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471913_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471889_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471885_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471902_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471886_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471904_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471908_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471884_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471923_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471899_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471919_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471912_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471924_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471911_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471909_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471897_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471922_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471891_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471921_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471882_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471914_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471898_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471896_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471893_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471915_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471934_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471973_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471965_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471959_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471941_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471961_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471942_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471971_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471938_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471947_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471946_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471967_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471930_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471952_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471966_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471983_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471968_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471955_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471931_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471974_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471929_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471958_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471964_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471985_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471943_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471953_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471988_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471939_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471936_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471977_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471960_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471951_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471978_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471954_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471963_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471979_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471975_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471944_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471982_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471980_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471928_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471933_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471969_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471950_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471932_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471956_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471972_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471935_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471949_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471948_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471976_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471945_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471937_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472026_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472024_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471993_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472008_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472027_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471997_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472020_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472001_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472032_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472030_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472005_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472004_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471999_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472013_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472028_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471994_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471992_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472029_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472022_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472006_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472033_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472003_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472017_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471995_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472025_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472007_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472023_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472010_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472012_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472011_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471998_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471991_0.png treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472044_0.png treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472047_0.png treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472035_0.png treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472041_0.png treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472036_0.png treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472048_0.png treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472046_0.png treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472043_0.png treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472037_0.png treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472051_0.png treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472049_0.png treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472053_0.png treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472050_0.png treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472054_0.png treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472058_0.png treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472052_0.png treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472057_0.png treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472070_0.png treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472067_0.png treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472063_0.png treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472065_0.png treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472066_0.png treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472073_0.png treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472064_0.png treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472062_0.png treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472060_0.png treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472059_0.png treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472061_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693937_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700241_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693929_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700242_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693925_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700248_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693953_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700255_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693924_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700249_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693930_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3755472074_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700256_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693940_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693920_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700261_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700276_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693954_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700270_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693926_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700275_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693934_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700273_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693944_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700240_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693939_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700279_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693952_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700259_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693932_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700274_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693941_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693955_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700245_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700244_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693936_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700269_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693950_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700265_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693956_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700267_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693921_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700264_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693938_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700268_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693958_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700263_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693942_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3755472075_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693933_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700262_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700272_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693923_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700260_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700243_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693946_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693927_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700251_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693959_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700266_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693947_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700271_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693928_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700252_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693948_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693951_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700278_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700257_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693922_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700277_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693935_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700258_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693987_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700858_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693964_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693978_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700852_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700854_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693985_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700843_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693968_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700859_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693973_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700860_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693975_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700840_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693982_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693962_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700861_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700857_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700833_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693960_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693984_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700845_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700856_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693972_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693992_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700851_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693974_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700849_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693970_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700831_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693976_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700864_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693990_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700863_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693986_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700846_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700835_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693965_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700841_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693989_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693993_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700844_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693966_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700855_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693983_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700832_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693967_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700837_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693977_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700850_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693981_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700834_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694023_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700880_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754693995_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694012_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700884_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700888_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694009_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700889_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694022_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694002_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700879_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754693998_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700893_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700866_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694021_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700890_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694001_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700877_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694013_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700894_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694006_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700878_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754693997_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694015_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700891_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700872_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754693996_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700886_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754693999_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700874_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694016_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700897_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694003_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700895_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694019_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700885_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700892_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754693994_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694018_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700873_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700887_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694014_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694010_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694008_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700868_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700869_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694027_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700911_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694052_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700907_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694042_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700899_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694036_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700904_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694047_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700913_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694044_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700912_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694029_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700914_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694034_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700927_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694049_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700923_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694038_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700902_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694040_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700918_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694039_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700915_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694045_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700925_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694053_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700901_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3755472077_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694084_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700948_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3755472078_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694085_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700955_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694058_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694089_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694075_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700939_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700931_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700956_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694072_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700941_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694065_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700961_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694069_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700944_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694059_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700947_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694079_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694083_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700945_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700951_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694077_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700949_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694060_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700950_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694092_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700965_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694078_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700943_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694080_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700954_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694064_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700958_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694082_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700942_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700946_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694068_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694071_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700940_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694066_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700957_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694073_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700964_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694062_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700963_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694061_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700966_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694057_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700932_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694086_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700962_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694063_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700933_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3755472079_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694093_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701017_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694116_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754700994_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694112_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754700998_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694099_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701011_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694113_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754700997_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694117_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754700993_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694107_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694110_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701003_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701000_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701014_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694096_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694101_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701009_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694114_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754700996_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694104_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3755472081_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701006_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694098_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701012_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694111_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754700999_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694095_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701015_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694115_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3755472084_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754700995_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694103_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3755472080_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701007_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3755472083_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694109_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694094_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701016_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701001_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3755472082_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694106_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701004_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694100_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701010_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694108_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701002_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694105_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701005_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694097_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701013_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754694102_0.png treat image : temp/1744323629_776321_1351251131_d3ce6fd827f4d590ce3917c5664cb8f3_rle_crop_3754701008_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694156_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701137_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694129_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701155_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694135_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694137_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3755472087_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701142_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694159_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701127_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694151_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701145_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701135_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694119_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701131_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3755472088_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694144_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3755472085_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694122_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701147_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701141_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694133_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701125_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694134_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701129_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694130_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694155_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701133_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694153_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701126_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701139_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694121_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701130_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694124_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701138_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694125_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701132_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694126_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694136_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701143_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701149_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694143_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701159_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694158_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694152_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701157_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701148_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694146_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694154_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701146_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694149_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694148_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701154_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701153_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701156_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694128_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701150_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694138_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701151_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694139_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701158_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694177_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701307_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694173_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701298_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694170_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701301_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694166_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701299_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694162_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701294_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694161_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701300_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694169_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694181_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701274_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701286_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694189_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701302_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694186_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694171_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701282_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694176_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701295_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701273_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694178_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701311_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694167_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701288_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694192_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701278_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694196_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701310_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694185_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701314_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694198_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701284_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694180_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701279_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694201_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701291_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694188_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694179_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701289_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701285_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694195_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701303_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694199_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701308_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694174_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701280_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701277_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694164_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694175_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701293_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694172_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701297_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694168_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701290_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694182_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694203_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701304_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701281_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701313_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694202_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694160_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701305_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694223_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694204_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701325_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701353_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701337_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694254_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694251_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701363_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701348_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694241_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694207_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701350_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694236_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701367_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694208_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701319_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694220_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701354_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694224_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701349_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694250_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701344_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694222_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701351_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694246_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701357_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694205_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701322_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694229_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694240_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694212_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701336_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701355_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701361_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694210_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701320_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694230_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701368_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694225_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3755472334_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701327_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694215_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701366_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694228_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701323_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694247_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701332_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694209_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701328_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694217_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701342_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694226_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694218_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701341_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701352_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694245_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701356_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694248_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701326_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694231_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701358_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694206_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701364_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694232_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701338_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701359_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694219_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694256_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701333_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701362_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694243_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694260_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694267_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701418_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701420_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694281_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701424_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694257_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701407_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694269_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701415_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694266_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701419_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694268_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701421_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694274_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701400_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701399_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694263_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701403_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694283_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694273_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701422_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694271_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701408_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694264_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701417_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694265_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701405_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694278_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701402_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694258_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701404_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694270_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701412_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694275_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701406_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694259_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701409_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694280_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701416_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694261_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701398_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694277_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701413_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694302_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701427_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694296_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701433_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694285_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701444_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694297_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3755472336_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701432_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701438_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694291_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694286_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701443_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694301_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701428_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694300_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701429_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694290_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701439_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701436_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694293_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694292_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701437_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694346_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701467_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694323_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701475_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694331_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701451_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694313_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701466_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694305_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701489_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694332_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701453_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694330_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701468_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694335_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694310_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701458_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701488_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694338_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701473_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694339_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701462_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694314_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701472_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694318_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701479_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694307_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701478_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694340_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694345_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701484_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701480_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694325_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701490_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694324_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694320_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701481_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701483_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694312_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701470_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694308_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701469_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694316_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701459_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694341_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701463_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701455_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694343_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694317_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694306_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701477_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701471_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694328_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694326_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701465_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701449_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694329_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3755472339_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701476_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694311_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701491_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694322_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701448_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701522_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694366_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694362_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701517_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694358_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701508_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694352_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701527_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694369_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701509_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694377_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701518_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694361_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701504_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694365_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694355_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701511_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701528_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694379_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701499_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694374_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701514_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694350_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701520_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694371_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701523_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694373_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701515_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694353_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701512_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694364_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701510_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694354_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694359_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701505_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701496_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694356_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694370_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701519_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701513_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694382_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701507_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694372_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694376_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701529_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701521_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694381_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701524_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694385_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701495_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694368_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701494_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694400_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701552_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694394_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701532_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694392_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701542_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694396_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701565_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694406_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701544_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694391_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701539_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694386_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701551_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694402_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694412_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701555_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701533_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694388_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701548_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694389_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701557_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694387_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701547_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694413_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701545_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701564_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694410_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694421_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701554_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694403_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701534_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694395_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694393_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694409_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701549_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701556_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701536_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694405_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701543_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3755472340_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694399_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701560_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694397_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701558_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694407_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701550_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694411_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701561_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694398_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701566_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694419_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701562_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694415_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701531_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694401_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701538_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694425_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694426_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701649_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701648_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694440_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701634_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694432_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701642_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694444_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701630_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694428_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701646_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694427_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694443_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694437_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701637_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701631_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701647_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694435_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701639_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694430_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694431_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701643_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694424_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701650_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701644_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694446_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701628_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694433_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701641_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694441_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701633_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694423_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701651_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694439_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701635_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694449_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694471_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701655_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701665_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694457_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701673_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694459_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694447_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701682_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701674_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694450_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701666_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694478_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701676_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694468_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701663_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694472_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701683_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694477_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701658_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694456_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694458_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701670_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701661_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694474_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701675_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694461_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701669_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694448_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701659_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694455_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701679_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694470_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701664_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701668_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694452_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694465_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701671_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694451_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701667_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694475_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701685_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694453_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701662_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694473_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701677_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694469_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701660_0.png treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754694501_0.png treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754702311_0.png treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754694497_0.png treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754702315_0.png treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754694495_0.png treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754702317_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694504_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702334_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694511_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702327_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694507_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702331_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3755472342_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694517_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702321_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694528_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3755472343_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694521_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702425_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702418_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694536_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702410_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694541_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702405_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694526_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702420_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694520_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702426_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694539_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702407_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694523_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702423_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694535_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702411_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694545_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702428_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694543_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702434_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694569_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702441_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694549_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702433_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694544_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702444_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694562_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702437_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694568_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702451_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694567_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694555_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702436_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702442_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694566_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702435_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694554_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702457_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694546_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702439_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694558_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702449_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694551_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702431_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694570_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702443_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694565_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702455_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694559_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702450_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694563_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702452_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694572_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702440_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694553_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702453_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694561_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702456_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694586_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703777_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694576_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703787_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694588_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703775_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694587_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703776_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694580_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703783_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694581_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703782_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694592_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703771_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694590_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703773_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3755472345_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694585_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703778_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694584_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703779_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703789_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694574_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703788_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694575_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471833_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471842_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471847_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471841_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471837_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471856_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471870_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471834_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471906_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471877_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471910_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471920_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471905_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471892_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471878_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471987_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471927_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471984_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471981_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471970_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471957_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471962_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471940_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472018_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472014_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755471996_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472031_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472019_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472016_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472009_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472000_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472002_0.png treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472034_0.png treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472040_0.png treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472038_0.png treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472042_0.png treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472069_0.png treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472071_0.png treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472072_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693931_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700254_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693943_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700250_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693945_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700246_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693957_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700247_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754693949_0.png treat image : temp/1744323629_776321_1351251337_b8488869ca209fc1984f4bec89f7bb4d_rle_crop_3754700253_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693969_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700842_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693971_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700862_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693991_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700847_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693988_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700853_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693963_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700848_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694024_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700871_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694007_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700881_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694020_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700896_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694050_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700916_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694046_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700910_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694056_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700929_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694035_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700905_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694033_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700926_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694048_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700928_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694055_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700921_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694026_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700919_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694037_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700924_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694054_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700922_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694032_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700903_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694041_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700917_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694067_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700960_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694087_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700935_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694070_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700952_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694076_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3755472076_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700938_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694074_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700953_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694150_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701140_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694127_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701128_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694118_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701123_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694145_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701118_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694140_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701144_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694147_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701121_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694163_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701287_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694193_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701292_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694197_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701275_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694183_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701309_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694190_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701306_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694184_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701276_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694252_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701339_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694255_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701345_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694221_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701343_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694242_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694227_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701340_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701347_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701316_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694253_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694244_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701365_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694233_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701360_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694211_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701330_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701321_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694216_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694235_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701324_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694262_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701411_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694276_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701410_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3755472338_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694303_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701426_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3755472337_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3755472335_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694298_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701431_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694284_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701445_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701441_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694288_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701442_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694287_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694299_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701430_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694334_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701450_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694321_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701461_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694342_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701452_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694344_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701485_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694348_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694319_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701464_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701487_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694347_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701460_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694304_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701457_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694360_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701497_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694367_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701506_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694375_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701498_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694357_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701525_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694380_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701526_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694363_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701493_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694349_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701501_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694408_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701540_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694418_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701559_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694414_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701546_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694417_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701541_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694390_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701537_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694422_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701652_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694442_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701632_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694429_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701645_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694463_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701680_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694464_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701656_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694467_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701672_0.png treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754694500_0.png treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754702312_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694506_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702332_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694512_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702326_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694505_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702333_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694503_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702335_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694502_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702336_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694508_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702330_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694513_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702325_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694514_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702324_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694519_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702319_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694531_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702415_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694530_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702416_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694532_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702414_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694525_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702421_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694533_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702413_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694537_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702409_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694542_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702404_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694538_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702408_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694548_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702446_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694550_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702447_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694560_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702445_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694593_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703770_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694578_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703785_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694591_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694589_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703774_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703772_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471990_0.png treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472056_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471854_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471850_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471863_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471865_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471875_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472015_0.png treat image : temp/1744323629_776321_1351339041_d45801f6e044e5af5d5891b13fc051fa_rle_crop_3755472021_0.png treat image : temp/1744323629_776321_1351337839_c5587da5fc70d7784ee5c779da878148_rle_crop_3755472068_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693979_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700839_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693961_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700838_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754693980_0.png treat image : temp/1744323629_776321_1351251330_f8f9ab44b8c76ae9521c4c863362439d_rle_crop_3754700836_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694011_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700867_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694017_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700876_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694004_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700875_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694000_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700870_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694031_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700909_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694030_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700900_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694028_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700906_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694043_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700920_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754694051_0.png treat image : temp/1744323629_776321_1351251256_76f5c697033a1722bb8c87cf3ee98a30_rle_crop_3754700908_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694081_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700936_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694088_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700959_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694091_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700937_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754694090_0.png treat image : temp/1744323629_776321_1351251180_ae0f68cc9ba884a4ac034da330ae5a6f_rle_crop_3754700934_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694120_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701119_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694131_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701122_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3755472086_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694132_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701152_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694141_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701120_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694123_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701136_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694165_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701271_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694191_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701283_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694200_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701312_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694187_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3755472333_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701296_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701318_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694234_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701317_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694214_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694213_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701331_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694237_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701329_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694249_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701346_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694238_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701335_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694282_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701414_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694279_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701423_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694294_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701435_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694295_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701434_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694333_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701482_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694309_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701456_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694327_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701474_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694337_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701454_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694336_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701486_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694351_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701500_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694378_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701502_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694383_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701516_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694420_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701563_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694404_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701535_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754694416_0.png treat image : temp/1744323629_776321_1351248560_1177c5fe556b30a637dbddeb885db1ad_rle_crop_3754701553_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694445_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701629_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694434_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701640_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694436_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701638_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694460_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3755472341_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701657_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694466_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701681_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694476_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701678_0.png treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754694496_0.png treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754702316_0.png treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754694498_0.png treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754702314_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694515_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702323_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694509_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702329_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694516_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702322_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694518_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702320_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694522_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702424_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694527_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702419_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694529_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702417_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694524_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702422_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694534_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702412_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694557_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702454_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694552_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702432_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694556_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702430_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694571_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694547_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702429_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702448_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3755472344_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754694564_0.png treat image : temp/1744323629_776321_1351248287_e24f5d69d81008880b6fabb0fe673d9f_rle_crop_3754702438_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694583_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703780_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694579_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703784_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694582_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703781_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694573_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703790_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694577_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754694594_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703786_0.png treat image : temp/1744323629_776321_1351248260_216e8e92b78010f0943355425ef8f337_rle_crop_3754703769_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471917_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471916_0.png treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472045_0.png treat image : temp/1744323629_776321_1351338092_19000f03965c2fbf462a061f858bf3bc_rle_crop_3755472055_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700882_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694025_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694157_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701134_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754694194_0.png treat image : temp/1744323629_776321_1351249574_09e24f3c6a478c59269412bf0f5b41d7_rle_crop_3754701272_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754694239_0.png treat image : temp/1744323629_776321_1351249482_1ec35f7e84fed0f1ef620a79e433d68c_rle_crop_3754701334_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754694315_0.png treat image : temp/1744323629_776321_1351248754_2461f7fad52fa674f519ddbf2036067f_rle_crop_3754701447_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754694384_0.png treat image : temp/1744323629_776321_1351248638_f7b7444286aa697e5ea0772275cd3b99_rle_crop_3754701503_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754694438_0.png treat image : temp/1744323629_776321_1351248494_f3e4c1718ed940ae79922adf55d78f80_rle_crop_3754701636_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701654_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694462_0.png treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754694499_0.png treat image : temp/1744323629_776321_1351248348_174db1a719847655b190e4cf0503d2c7_rle_crop_3754702313_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754694510_0.png treat image : temp/1744323629_776321_1351248338_315ce298e336ed9821a98a4793ecbc22_rle_crop_3754702328_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754694540_0.png treat image : temp/1744323629_776321_1351248317_1bc838e70416ad24341ef137d13a924a_rle_crop_3754702406_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471848_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471857_0.png treat image : temp/1744323629_776321_1351339457_f7a64e90f2155a1dabee71660f6a9916_rle_crop_3755471851_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471901_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471918_0.png treat image : temp/1744323629_776321_1351339297_c74c5bb21299628a92ccac6ca0b0d4e5_rle_crop_3755471926_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471989_0.png treat image : temp/1744323629_776321_1351339200_beb1cd0bdb46626f3132eb2a1bbdb609_rle_crop_3755471986_0.png treat image : temp/1744323629_776321_1351338401_1afaa6b4df7d1bb295faffba5850446d_rle_crop_3755472039_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754694005_0.png treat image : temp/1744323629_776321_1351251314_c2ef397a48a1d4879d6b2c38bac896f3_rle_crop_3754700883_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754694142_0.png treat image : temp/1744323629_776321_1351249627_65723dd44fcb064703f5931dd819d889_rle_crop_3754701124_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754694272_0.png treat image : temp/1744323629_776321_1351249425_b64bae6ae6fe2fe12279dcfbacf11cea_rle_crop_3754701401_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754694289_0.png treat image : temp/1744323629_776321_1351249306_547e22388a1b7a5810aa0b96f0fe2175_rle_crop_3754701440_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754694454_0.png treat image : temp/1744323629_776321_1351248442_ba4aa53e3c9f8db6ebd5285384e6632e_rle_crop_3754701684_0.png Inside saveOutput : final : False verbose : 0 begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 1615 time used for this insertion : 0.11598420143127441 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 1615 time used for this insertion : 0.7280607223510742 save missing photos in datou_result : time spend for datou_step_exec : 33.48985314369202 time spend to save output : 0.8553345203399658 total time spend for step 7 : 34.34518766403198 step8:velours_tree Fri Apr 11 01:04:15 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 VR 22-3-18 : For now we do not clean correctly the datou structure can't find the photo_desc_type Inside saveOutput : final : False verbose : 0 ouput is None No outpout to save, returning out of save general time spend for datou_step_exec : 0.13726210594177246 time spend to save output : 5.1021575927734375e-05 total time spend for step 8 : 0.1373131275177002 step9:send_mail_cod Fri Apr 11 01:04:15 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 complete output_args for input 1 Inconsistent number of input and output, step which parrallelize and manage error in input by avoiding sending an output for this data can't be used in tree dependencies of input and output complete output_args for input 2 Inconsistent number of input and output, step which parrallelize and manage error in input by avoiding sending an output for this data can't be used in tree dependencies of input and output complete output_args for input 3 We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure dans la step send mail cod work_area: /home/admin/workarea/git/Velours/python in order to get the selector url, please entre the license of selector results_Auto_P22246530_11-04-2025_01_04_15.pdf 22247236 imagette222472361744326255 22247237 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette222472371744326255 22247238 imagette222472381744326257 22247239 change filename to text .change filename to text .imagette222472391744326257 22247240 change filename to text .change filename to text .imagette222472401744326257 22247241 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette222472411744326257 22247243 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette222472431744326258 22247244 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette222472441744326260 22247245 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette222472451744326262 22247246 imagette222472461744326263 SELECT h.hashtag,pcr.value FROM MTRUser.portfolio_carac_ratio pcr, MTRBack.hashtags h where pcr.portfolio_id=22246530 and hashtag_type = 3594 and pcr.hashtag_id = h.hashtag_id; velour_link : https://www.fotonower.com/velours/22247236,22247237,22247238,22247239,22247240,22247241,22247242,22247243,22247244,22247245,22247246?tags=background,pet_fonce,mal_croppe,metal,pehd,carton,environnement,pet_clair,papier,autre,flou args[1351339457] : ((1351339457, -4.3638992019890726, 492609224), (1351339457, -0.13500388436211816, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351339297] : ((1351339297, -6.7943857605349, 492609224), (1351339297, -0.011345643475588169, 2107752395), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351339200] : ((1351339200, -6.9470176458352055, 492609224), (1351339200, -0.008546502713374083, 2107752395), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351339041] : ((1351339041, -6.530648512928744, 492609224), (1351339041, -0.006684358465990972, 2107752395), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351338401] : ((1351338401, -4.974153855628294, 492609224), (1351338401, -0.021453638984794972, 2107752395), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351338092] : ((1351338092, 0.1448617174520356, 492688767), (1351338092, 0.8735963781321882, 2107752395), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351337839] : ((1351337839, -1.0192036220870344, 492688767), (1351337839, -0.17991704860126936, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351251337] : ((1351251337, -4.63677878081559, 492609224), (1351251337, -0.04903144894884309, 2107752395), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351251330] : ((1351251330, -3.0053056651477412, 492609224), (1351251330, -0.2119021362667084, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351251314] : ((1351251314, -3.3300785129842567, 492609224), (1351251314, -0.2826243675359613, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351251256] : ((1351251256, -3.898102964132435, 492609224), (1351251256, 0.07137493481057042, 2107752395), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351251180] : ((1351251180, -5.145452669457413, 492609224), (1351251180, -0.12716338769758276, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351251131] : ((1351251131, -4.185546767809197, 492609224), (1351251131, -0.36224567213868514, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351249627] : ((1351249627, -4.472243552853286, 492609224), (1351249627, -0.23007417322201204, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351249574] : ((1351249574, -6.293042113029406, 492609224), (1351249574, -0.25042534383250364, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351249482] : ((1351249482, -5.102771528330681, 492609224), (1351249482, -0.22581551664051036, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351249425] : ((1351249425, -2.831332048086933, 492609224), (1351249425, -0.40061042455342044, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351249306] : ((1351249306, -3.908053791623616, 492609224), (1351249306, -0.03079485179394346, 2107752395), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351248754] : ((1351248754, -6.974862725578132, 492609224), (1351248754, -0.14060565472542033, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351248638] : ((1351248638, -7.037620161139522, 492609224), (1351248638, -0.13422967436566063, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351248560] : ((1351248560, -7.005359881603612, 492609224), (1351248560, -0.10942160902859535, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351248494] : ((1351248494, -5.217097783326643, 492609224), (1351248494, -0.05861326822782218, 2107752395), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351248442] : ((1351248442, -2.579040239087499, 492609224), (1351248442, -0.030339645732224824, 2107752395), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351248348] : ((1351248348, -3.4404987755845644, 492609224), (1351248348, 0.6288940093452121, 2107752395), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351248338] : ((1351248338, -0.3452347030216265, 492688767), (1351248338, 0.06942596303337066, 2107752395), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351248317] : ((1351248317, -3.371459960133433, 492609224), (1351248317, -0.08280848972826728, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351248287] : ((1351248287, -4.648891482535421, 492609224), (1351248287, -0.18181669844139764, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com args[1351248260] : ((1351248260, -2.6558229839792338, 492609224), (1351248260, -0.07459026717700167, 496442774), '0.18220796130952377') We are sending mail with results at report@fotonower.com refus_total : 0.18220796130952377 2022-04-13 10:29:59 0 SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=22246530 AND mpp.hide_status=0 ORDER BY mpp.order LIMIT 0, 1000 SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (1351248317,1351248338,1351251180,1351339297,1351339200,1351248494,1351249627,1351249574,1351337839,1351251337,1351338401,1351251314,1351251330,1351338092,1351339457,1351339041,1351248260,1351251256,1351251131,1351249482) Found this number of photos: 20 begin to download photo : 1351248317 begin to download photo : 1351248494 begin to download photo : 1351338401 begin to download photo : 1351339041 download finish for photo 1351248494 begin to download photo : 1351249627 download finish for photo 1351338401 begin to download photo : 1351251314 download finish for photo 1351339041 begin to download photo : 1351248260 download finish for photo 1351248317 begin to download photo : 1351248338 download finish for photo 1351251314 begin to download photo : 1351251330 download finish for photo 1351249627 begin to download photo : 1351249574 download finish for photo 1351248260 begin to download photo : 1351251256 download finish for photo 1351248338 begin to download photo : 1351251180 download finish for photo 1351251330 begin to download photo : 1351338092 download finish for photo 1351249574 begin to download photo : 1351337839 download finish for photo 1351251256 begin to download photo : 1351251131 download finish for photo 1351251180 begin to download photo : 1351339297 download finish for photo 1351338092 begin to download photo : 1351339457 download finish for photo 1351337839 begin to download photo : 1351251337 download finish for photo 1351251131 begin to download photo : 1351249482 download finish for photo 1351339297 begin to download photo : 1351339200 download finish for photo 1351339457 download finish for photo 1351251337 download finish for photo 1351249482 download finish for photo 1351339200 start upload file to ovh https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22246530_11-04-2025_01_04_15.pdf results_Auto_P22246530_11-04-2025_01_04_15.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22246530_11-04-2025_01_04_15.pdf start insert file to database insert into MTRUser.mtr_files (mtd_id,mtr_portfolio_id,text,url,format,tags,file_size,value) values ('3318','22246530','results_Auto_P22246530_11-04-2025_01_04_15.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22246530_11-04-2025_01_04_15.pdf','pdf','','1.03','0.18220796130952377') message_in_mail: Bonjour,
Veuillez trouver ci dessous les résultats du service carac on demand pour le portfolio: https://www.fotonower.com/view/22246530

https://www.fotonower.com/image?json=false&list_photos_id=1351339457
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351339297
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351339200
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351339041
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351338401
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351338092
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351337839
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351251337
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351251330
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351251314
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351251256
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351251180
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351251131
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351249627
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351249574
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351249482
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351249425
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351249306
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351248754
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351248638
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351248560
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351248494
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351248442
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351248348
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351248338
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351248317
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351248287
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1351248260
Bravo, la photo est bien prise.

Dans ces conditions,le taux de refus est: 18.22%
Veuillez trouver les photos des contaminants.

exemples de contaminants: pet_fonce: https://www.fotonower.com/view/22247237?limit=200
exemples de contaminants: metal: https://www.fotonower.com/view/22247239?limit=200
exemples de contaminants: pehd: https://www.fotonower.com/view/22247240?limit=200
exemples de contaminants: carton: https://www.fotonower.com/view/22247241?limit=200
exemples de contaminants: pet_clair: https://www.fotonower.com/view/22247243?limit=200
exemples de contaminants: papier: https://www.fotonower.com/view/22247244?limit=200
exemples de contaminants: autre: https://www.fotonower.com/view/22247245?limit=200
Veuillez trouver le rapport en pdf:https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22246530_11-04-2025_01_04_15.pdf.

Lien vers velours :https://www.fotonower.com/velours/22247236,22247237,22247238,22247239,22247240,22247241,22247242,22247243,22247244,22247245,22247246?tags=background,pet_fonce,mal_croppe,metal,pehd,carton,environnement,pet_clair,papier,autre,flou.


L'équipe Fotonower 202 b'' Server: nginx Date: Thu, 10 Apr 2025 23:04:28 GMT Content-Length: 0 Connection: close X-Message-Id: zBybJzjdTZuWryTmU9E8tg Access-Control-Allow-Origin: https://sendgrid.api-docs.io Access-Control-Allow-Methods: POST Access-Control-Allow-Headers: Authorization, Content-Type, On-behalf-of, x-sg-elas-acl Access-Control-Max-Age: 600 X-No-CORS-Reason: https://sendgrid.com/docs/Classroom/Basics/API/cors.html Strict-Transport-Security: max-age=31536000; includeSubDomains Content-Security-Policy: frame-ancestors 'none' Cache-Control: no-cache X-Content-Type-Options: no-sniff Referrer-Policy: strict-origin-when-cross-origin Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : send_mail_cod we use saveGeneral [1351339457, 1351339297, 1351339200, 1351339041, 1351338401, 1351338092, 1351337839, 1351251337, 1351251330, 1351251314, 1351251256, 1351251180, 1351251131, 1351249627, 1351249574, 1351249482, 1351249425, 1351249306, 1351248754, 1351248638, 1351248560, 1351248494, 1351248442, 1351248348, 1351248338, 1351248317, 1351248287, 1351248260] Looping around the photos to save general results len do output : 0 before output type Used above Managing all output in save final without adding information in the mtr_datou_result ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339457', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339297', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339200', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339041', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351338401', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351338092', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351337839', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251337', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251330', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251314', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251256', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251180', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251131', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249627', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249574', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249482', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249425', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249306', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248754', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248638', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248560', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248494', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248442', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248348', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248338', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248317', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248287', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248260', None, None, None, None, None, '2741589') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 28 time used for this insertion : 0.018537282943725586 save_final save missing photos in datou_result : time spend for datou_step_exec : 12.888697147369385 time spend to save output : 0.018927812576293945 total time spend for step 9 : 12.907624959945679 step10:split_time_score Fri Apr 11 01:04:28 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! complete output_args for input 1 VR 22-3-18 : For now we do not clean correctly the datou structure begin split time score Catched exception ! Connect or reconnect ! TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}] thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('18', 28),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} 10042025 22246530 Nombre de photos uploadées : 28 / 23040 (0%) 10042025 22246530 Nombre de photos taguées (types de déchets): 0 / 28 (0%) 10042025 22246530 Nombre de photos taguées (volume) : 0 / 28 (0%) elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 8.58306884765625e-06 ???????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0014951229095458984 elapsed_time : insert_dashboard_record_day_entry 0.04020237922668457 We will return after consolidate but for now we need the day, how to get it, for now depending on the previous heavy steps Qualite : 0.08146285908317973 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22246522_11-04-2025_00_21_32.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22246522 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22246522 AND mptpi.`type`=3726 To do Qualite : 0.30404372758941545 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22222738_10-04-2025_13_49_21.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22222738 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22222738 AND mptpi.`type`=3594 To do Qualite : 0.13080439814814812 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22222739_10-04-2025_12_31_33.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22222739 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22222739 AND mptpi.`type`=3594 To do Qualite : 0.08491796816652654 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22222743_10-04-2025_12_25_42.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22222743 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22222743 AND mptpi.`type`=3726 To do Qualite : 0.2361900233183552 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22234330_10-04-2025_17_49_13.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22234330 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22234330 AND mptpi.`type`=3594 To do Qualite : 0.06472482777268794 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22234331_10-04-2025_17_50_57.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22234331 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22234331 AND mptpi.`type`=3726 To do Qualite : 0.17680694042137057 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22234353_10-04-2025_18_39_40.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22234353 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22234353 AND mptpi.`type`=3594 To do Qualite : 0.13695543617250847 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22237479_10-04-2025_19_32_24.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22237479 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22237479 AND mptpi.`type`=3726 To do Qualite : 0.19070316427853187 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22234383_10-04-2025_17_25_46.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22234383 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22234383 AND mptpi.`type`=3594 To do Qualite : 0.06080137778204751 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22246525_11-04-2025_00_35_35.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22246525 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22246525 AND mptpi.`type`=3726 To do Qualite : 0.18220796130952377 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22246530_11-04-2025_01_04_15.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22246530 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22246530 AND mptpi.`type`=3594 To do Qualite : 0.2303195134000895 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22243654_10-04-2025_22_48_38.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22243654 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22243654 AND mptpi.`type`=3594 To do Qualite : 0.17880971427923026 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22243656_10-04-2025_22_30_13.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22243656 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22243656 AND mptpi.`type`=3594 To do NUMBER BATCH : 0 # DISPLAY ALL COLLECTED DATA : {'10042025': {'nb_upload': 28, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1351339457, 1351339297, 1351339200, 1351339041, 1351338401, 1351338092, 1351337839, 1351251337, 1351251330, 1351251314, 1351251256, 1351251180, 1351251131, 1351249627, 1351249574, 1351249482, 1351249425, 1351249306, 1351248754, 1351248638, 1351248560, 1351248494, 1351248442, 1351248348, 1351248338, 1351248317, 1351248287, 1351248260] Looping around the photos to save general results len do output : 1 /22246530Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339457', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339297', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339200', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351339041', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351338401', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351338092', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351337839', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251337', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251330', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251314', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251256', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251180', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351251131', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249627', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249574', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249482', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249425', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351249306', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248754', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248638', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248560', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248494', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248442', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248348', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248338', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248317', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248287', None, None, None, None, None, '2741589') ('3318', None, None, None, None, None, None, None, '2741589') ('3318', '22246530', '1351248260', None, None, None, None, None, '2741589') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 29 time used for this insertion : 0.5039956569671631 save_final save missing photos in datou_result : time spend for datou_step_exec : 2.528198003768921 time spend to save output : 0.5044219493865967 total time spend for step 10 : 3.0326199531555176 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 28 set_done_treatment 895.55user 427.32system 44:07.07elapsed 49%CPU (0avgtext+0avgdata 10053996maxresident)k 37031088inputs+679296outputs (1191044major+71683549minor)pagefaults 0swaps