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 : 1294677 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 : ['2723483'] with mtr_portfolio_ids : ['22050503'] and first list_photo_ids : [] new path : /proc/1294677/ 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 , BFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 38 ; length of list_pids : 38 ; length of list_args : 38 time to download the photos : 6.743942022323608 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 Tue Apr 15 21:30:36 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 : 10440 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-04-15 21:30:39.307946: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-04-15 21:30:39.335271: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-04-15 21:30:39.337405: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7ff494000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-04-15 21:30:39.337483: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-04-15 21:30:39.341681: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-04-15 21:30:39.457459: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x200af330 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-04-15 21:30:39.457527: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-04-15 21:30:39.459056: 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 2025-04-15 21:30:39.459538: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-15 21:30:39.462466: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-15 21:30:39.465334: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-15 21:30:39.465828: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-15 21:30:39.468688: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-15 21:30:39.469677: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-15 21:30:39.474149: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-15 21:30:39.475720: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-15 21:30:39.475806: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-15 21:30:39.476618: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-15 21:30:39.476634: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-15 21:30:39.476662: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-15 21:30:39.477973: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9671 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. 2025-04-15 21:30:39.763114: 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 2025-04-15 21:30:39.763212: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-15 21:30:39.763236: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-15 21:30:39.763258: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-15 21:30:39.763279: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-15 21:30:39.763299: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-15 21:30:39.763319: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-15 21:30:39.763340: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-15 21:30:39.764959: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-15 21:30:39.766541: 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 2025-04-15 21:30:39.766626: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-15 21:30:39.766646: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-15 21:30:39.766664: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-15 21:30:39.766682: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-15 21:30:39.766699: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-15 21:30:39.766717: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-15 21:30:39.766735: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-15 21:30:39.768337: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-15 21:30:39.768373: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-15 21:30:39.768384: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-15 21:30:39.768394: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-15 21:30:39.770026: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9671 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 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 : [] 2025-04-15 21:30:52.341171: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-15 21:30:52.536632: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 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 : 38 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 : 27 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 8.00000 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 : 18 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 : 49 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 : 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 : 63 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 : 65 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 : 81 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 : 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 : 72 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 : 65 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 : 60 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 3.00000 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 : 52 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 : 71 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 : 71 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 : 80 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 : 66 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 : 35 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 : 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 : 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 : 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 : 60 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 : 73 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 : 63 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 : 41 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 : 63 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 4.00000 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 : 32 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 1.00000 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 : 45 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 : 21 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 Detection mask done ! Trying to reset tf kernel 1295728 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 5525 tf kernel not reseted sub process len(results) : 38 len(list_Values) 0 None max_time_sub_proc : 3600 parent process len(results) : 38 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 : 6717 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 : 0.09473872184753418 nb_pixel_total : 37375 time to create 1 rle with old method : 0.04608154296875 length of segment : 225 time for calcul the mask position with numpy : 0.29717326164245605 nb_pixel_total : 152387 time to create 1 rle with new method : 0.011820316314697266 length of segment : 591 time for calcul the mask position with numpy : 0.02573394775390625 nb_pixel_total : 10115 time to create 1 rle with old method : 0.016959667205810547 length of segment : 99 time for calcul the mask position with numpy : 0.10253167152404785 nb_pixel_total : 32934 time to create 1 rle with old method : 0.04053378105163574 length of segment : 273 time for calcul the mask position with numpy : 0.05659055709838867 nb_pixel_total : 21384 time to create 1 rle with old method : 0.03528141975402832 length of segment : 185 time for calcul the mask position with numpy : 0.014398813247680664 nb_pixel_total : 10112 time to create 1 rle with old method : 0.014679908752441406 length of segment : 89 time for calcul the mask position with numpy : 0.07457637786865234 nb_pixel_total : 22127 time to create 1 rle with old method : 0.02776336669921875 length of segment : 285 time for calcul the mask position with numpy : 0.056055545806884766 nb_pixel_total : 19163 time to create 1 rle with old method : 0.025401592254638672 length of segment : 235 time for calcul the mask position with numpy : 0.020709514617919922 nb_pixel_total : 11747 time to create 1 rle with old method : 0.018852710723876953 length of segment : 63 time for calcul the mask position with numpy : 0.0934755802154541 nb_pixel_total : 40861 time to create 1 rle with old method : 0.05234098434448242 length of segment : 280 time for calcul the mask position with numpy : 0.051401615142822266 nb_pixel_total : 24402 time to create 1 rle with old method : 0.03980588912963867 length of segment : 200 time for calcul the mask position with numpy : 0.10947704315185547 nb_pixel_total : 51266 time to create 1 rle with old method : 0.0586247444152832 length of segment : 393 time for calcul the mask position with numpy : 0.004259586334228516 nb_pixel_total : 7891 time to create 1 rle with old method : 0.009103059768676758 length of segment : 163 time for calcul the mask position with numpy : 0.003055572509765625 nb_pixel_total : 14100 time to create 1 rle with old method : 0.018329620361328125 length of segment : 229 time for calcul the mask position with numpy : 0.021930932998657227 nb_pixel_total : 6706 time to create 1 rle with old method : 0.01182103157043457 length of segment : 94 time for calcul the mask position with numpy : 0.24891185760498047 nb_pixel_total : 122677 time to create 1 rle with old method : 0.14380598068237305 length of segment : 525 time for calcul the mask position with numpy : 0.04818534851074219 nb_pixel_total : 12890 time to create 1 rle with old method : 0.021086692810058594 length of segment : 221 time for calcul the mask position with numpy : 0.054221391677856445 nb_pixel_total : 44137 time to create 1 rle with old method : 0.05144143104553223 length of segment : 342 time for calcul the mask position with numpy : 0.0346379280090332 nb_pixel_total : 24332 time to create 1 rle with old method : 0.03276681900024414 length of segment : 204 time for calcul the mask position with numpy : 0.02769327163696289 nb_pixel_total : 6744 time to create 1 rle with old method : 0.009724140167236328 length of segment : 307 time for calcul the mask position with numpy : 0.015296697616577148 nb_pixel_total : 4629 time to create 1 rle with old method : 0.009243011474609375 length of segment : 81 time for calcul the mask position with numpy : 0.12603116035461426 nb_pixel_total : 36203 time to create 1 rle with old method : 0.047185659408569336 length of segment : 368 time for calcul the mask position with numpy : 0.08931446075439453 nb_pixel_total : 36548 time to create 1 rle with old method : 0.04726052284240723 length of segment : 332 time for calcul the mask position with numpy : 0.11182546615600586 nb_pixel_total : 45293 time to create 1 rle with old method : 0.05565142631530762 length of segment : 412 time for calcul the mask position with numpy : 0.034234046936035156 nb_pixel_total : 12525 time to create 1 rle with old method : 0.020406484603881836 length of segment : 130 time for calcul the mask position with numpy : 0.06217694282531738 nb_pixel_total : 19778 time to create 1 rle with old method : 0.03648257255554199 length of segment : 199 time for calcul the mask position with numpy : 0.04068422317504883 nb_pixel_total : 12583 time to create 1 rle with old method : 0.019530773162841797 length of segment : 143 time for calcul the mask position with numpy : 0.2429811954498291 nb_pixel_total : 159736 time to create 1 rle with new method : 0.010262727737426758 length of segment : 378 time for calcul the mask position with numpy : 0.027956008911132812 nb_pixel_total : 10968 time to create 1 rle with old method : 0.0189666748046875 length of segment : 103 time for calcul the mask position with numpy : 0.029953956604003906 nb_pixel_total : 12789 time to create 1 rle with old method : 0.019682884216308594 length of segment : 97 time for calcul the mask position with numpy : 0.020113468170166016 nb_pixel_total : 12747 time to create 1 rle with old method : 0.02010369300842285 length of segment : 154 time for calcul the mask position with numpy : 0.15561223030090332 nb_pixel_total : 117953 time to create 1 rle with old method : 0.14290738105773926 length of segment : 369 time for calcul the mask position with numpy : 0.013359308242797852 nb_pixel_total : 4016 time to create 1 rle with old method : 0.0046923160552978516 length of segment : 49 time for calcul the mask position with numpy : 0.13463163375854492 nb_pixel_total : 79605 time to create 1 rle with old method : 0.09748077392578125 length of segment : 304 time for calcul the mask position with numpy : 0.0499575138092041 nb_pixel_total : 32590 time to create 1 rle with old method : 0.0402684211730957 length of segment : 177 time for calcul the mask position with numpy : 0.07892966270446777 nb_pixel_total : 23369 time to create 1 rle with old method : 0.0401766300201416 length of segment : 278 time for calcul the mask position with numpy : 0.06597399711608887 nb_pixel_total : 42476 time to create 1 rle with old method : 0.04681205749511719 length of segment : 208 time for calcul the mask position with numpy : 0.27728891372680664 nb_pixel_total : 257100 time to create 1 rle with new method : 0.019949674606323242 length of segment : 633 time for calcul the mask position with numpy : 0.007854223251342773 nb_pixel_total : 22834 time to create 1 rle with old method : 0.030084848403930664 length of segment : 150 time for calcul the mask position with numpy : 0.03652358055114746 nb_pixel_total : 19886 time to create 1 rle with old method : 0.03543448448181152 length of segment : 226 time for calcul the mask position with numpy : 0.03203940391540527 nb_pixel_total : 12889 time to create 1 rle with old method : 0.013899087905883789 length of segment : 137 time for calcul the mask position with numpy : 0.09241366386413574 nb_pixel_total : 58927 time to create 1 rle with old method : 0.09594321250915527 length of segment : 349 time for calcul the mask position with numpy : 0.09334754943847656 nb_pixel_total : 67425 time to create 1 rle with old method : 0.08921623229980469 length of segment : 328 time for calcul the mask position with numpy : 0.011942386627197266 nb_pixel_total : 5351 time to create 1 rle with old method : 0.0062448978424072266 length of segment : 63 time for calcul the mask position with numpy : 0.03926444053649902 nb_pixel_total : 15496 time to create 1 rle with old method : 0.017801761627197266 length of segment : 290 time for calcul the mask position with numpy : 0.038402557373046875 nb_pixel_total : 42314 time to create 1 rle with old method : 0.04782247543334961 length of segment : 176 time for calcul the mask position with numpy : 0.027910709381103516 nb_pixel_total : 14709 time to create 1 rle with old method : 0.021978139877319336 length of segment : 145 time for calcul the mask position with numpy : 0.03922700881958008 nb_pixel_total : 20187 time to create 1 rle with old method : 0.02643895149230957 length of segment : 276 time for calcul the mask position with numpy : 0.03990769386291504 nb_pixel_total : 31513 time to create 1 rle with old method : 0.04049348831176758 length of segment : 164 time for calcul the mask position with numpy : 0.01164865493774414 nb_pixel_total : 14225 time to create 1 rle with old method : 0.03007030487060547 length of segment : 148 time for calcul the mask position with numpy : 0.023890972137451172 nb_pixel_total : 6580 time to create 1 rle with old method : 0.011516809463500977 length of segment : 122 time for calcul the mask position with numpy : 0.021618127822875977 nb_pixel_total : 11565 time to create 1 rle with old method : 0.015282630920410156 length of segment : 102 time for calcul the mask position with numpy : 0.021506786346435547 nb_pixel_total : 14159 time to create 1 rle with old method : 0.018438339233398438 length of segment : 180 time for calcul the mask position with numpy : 0.13502883911132812 nb_pixel_total : 50879 time to create 1 rle with old method : 0.07097458839416504 length of segment : 229 time for calcul the mask position with numpy : 0.11020660400390625 nb_pixel_total : 108140 time to create 1 rle with old method : 0.12391281127929688 length of segment : 389 time for calcul the mask position with numpy : 0.07210421562194824 nb_pixel_total : 26958 time to create 1 rle with old method : 0.03550243377685547 length of segment : 224 time for calcul the mask position with numpy : 0.22442197799682617 nb_pixel_total : 157218 time to create 1 rle with new method : 0.02030658721923828 length of segment : 559 time for calcul the mask position with numpy : 0.2354753017425537 nb_pixel_total : 268760 time to create 1 rle with new method : 0.020437002182006836 length of segment : 504 time for calcul the mask position with numpy : 0.01147603988647461 nb_pixel_total : 19543 time to create 1 rle with old method : 0.02939915657043457 length of segment : 189 time for calcul the mask position with numpy : 0.06921029090881348 nb_pixel_total : 19610 time to create 1 rle with old method : 0.03506827354431152 length of segment : 178 time for calcul the mask position with numpy : 0.03602194786071777 nb_pixel_total : 13546 time to create 1 rle with old method : 0.029077768325805664 length of segment : 210 time for calcul the mask position with numpy : 0.1734614372253418 nb_pixel_total : 196939 time to create 1 rle with new method : 0.013968467712402344 length of segment : 579 time for calcul the mask position with numpy : 0.022568225860595703 nb_pixel_total : 12647 time to create 1 rle with old method : 0.018826007843017578 length of segment : 188 time for calcul the mask position with numpy : 0.13174819946289062 nb_pixel_total : 110827 time to create 1 rle with old method : 0.12468457221984863 length of segment : 451 time for calcul the mask position with numpy : 0.06372570991516113 nb_pixel_total : 27687 time to create 1 rle with old method : 0.03345298767089844 length of segment : 227 time for calcul the mask position with numpy : 0.01924276351928711 nb_pixel_total : 3798 time to create 1 rle with old method : 0.007714033126831055 length of segment : 77 time for calcul the mask position with numpy : 0.07538962364196777 nb_pixel_total : 62849 time to create 1 rle with old method : 0.07622957229614258 length of segment : 217 time for calcul the mask position with numpy : 0.004439592361450195 nb_pixel_total : 57516 time to create 1 rle with old method : 0.06640481948852539 length of segment : 319 time for calcul the mask position with numpy : 0.053185224533081055 nb_pixel_total : 18493 time to create 1 rle with old method : 0.025607585906982422 length of segment : 266 time for calcul the mask position with numpy : 0.02441573143005371 nb_pixel_total : 19230 time to create 1 rle with old method : 0.03313589096069336 length of segment : 203 time for calcul the mask position with numpy : 0.08539271354675293 nb_pixel_total : 40496 time to create 1 rle with old method : 0.053284645080566406 length of segment : 297 time for calcul the mask position with numpy : 0.2121882438659668 nb_pixel_total : 241608 time to create 1 rle with new method : 0.025557279586791992 length of segment : 592 time for calcul the mask position with numpy : 0.020343542098999023 nb_pixel_total : 22606 time to create 1 rle with old method : 0.03523898124694824 length of segment : 125 time for calcul the mask position with numpy : 0.11858797073364258 nb_pixel_total : 141167 time to create 1 rle with old method : 0.1551523208618164 length of segment : 639 time for calcul the mask position with numpy : 0.23686766624450684 nb_pixel_total : 199925 time to create 1 rle with new method : 0.02179551124572754 length of segment : 706 time for calcul the mask position with numpy : 0.04889416694641113 nb_pixel_total : 11306 time to create 1 rle with old method : 0.02171492576599121 length of segment : 110 time for calcul the mask position with numpy : 0.035466909408569336 nb_pixel_total : 10161 time to create 1 rle with old method : 0.019417762756347656 length of segment : 159 time for calcul the mask position with numpy : 0.10811758041381836 nb_pixel_total : 39583 time to create 1 rle with old method : 0.04349470138549805 length of segment : 238 time for calcul the mask position with numpy : 0.0007212162017822266 nb_pixel_total : 19762 time to create 1 rle with old method : 0.0222628116607666 length of segment : 259 time for calcul the mask position with numpy : 0.05479860305786133 nb_pixel_total : 17681 time to create 1 rle with old method : 0.019425153732299805 length of segment : 189 time for calcul the mask position with numpy : 0.028486013412475586 nb_pixel_total : 18864 time to create 1 rle with old method : 0.02538919448852539 length of segment : 340 time for calcul the mask position with numpy : 0.05453038215637207 nb_pixel_total : 38311 time to create 1 rle with old method : 0.045531511306762695 length of segment : 177 time for calcul the mask position with numpy : 0.0246429443359375 nb_pixel_total : 10399 time to create 1 rle with old method : 0.016664505004882812 length of segment : 87 time for calcul the mask position with numpy : 0.3493821620941162 nb_pixel_total : 258344 time to create 1 rle with new method : 0.01886153221130371 length of segment : 456 time for calcul the mask position with numpy : 0.07001948356628418 nb_pixel_total : 23157 time to create 1 rle with old method : 0.03011608123779297 length of segment : 241 time for calcul the mask position with numpy : 0.3256039619445801 nb_pixel_total : 152605 time to create 1 rle with new method : 0.014713764190673828 length of segment : 406 time for calcul the mask position with numpy : 0.20175600051879883 nb_pixel_total : 99772 time to create 1 rle with old method : 0.11197757720947266 length of segment : 662 time for calcul the mask position with numpy : 0.0484316349029541 nb_pixel_total : 9365 time to create 1 rle with old method : 0.017346620559692383 length of segment : 134 time for calcul the mask position with numpy : 0.1330728530883789 nb_pixel_total : 54079 time to create 1 rle with old method : 0.06950044631958008 length of segment : 313 time for calcul the mask position with numpy : 0.09129738807678223 nb_pixel_total : 67836 time to create 1 rle with old method : 0.07794833183288574 length of segment : 326 time for calcul the mask position with numpy : 0.2362957000732422 nb_pixel_total : 146232 time to create 1 rle with old method : 0.1807093620300293 length of segment : 450 time for calcul the mask position with numpy : 0.0494997501373291 nb_pixel_total : 41609 time to create 1 rle with old method : 0.05129361152648926 length of segment : 207 time for calcul the mask position with numpy : 0.03960561752319336 nb_pixel_total : 14128 time to create 1 rle with old method : 0.020958423614501953 length of segment : 121 time for calcul the mask position with numpy : 0.0069141387939453125 nb_pixel_total : 10533 time to create 1 rle with old method : 0.015666484832763672 length of segment : 163 time for calcul the mask position with numpy : 0.03242158889770508 nb_pixel_total : 13675 time to create 1 rle with old method : 0.023839712142944336 length of segment : 101 time for calcul the mask position with numpy : 0.0005342960357666016 nb_pixel_total : 20209 time to create 1 rle with old method : 0.02361893653869629 length of segment : 202 time for calcul the mask position with numpy : 0.16014552116394043 nb_pixel_total : 96438 time to create 1 rle with old method : 0.15199518203735352 length of segment : 478 time for calcul the mask position with numpy : 0.0015347003936767578 nb_pixel_total : 21126 time to create 1 rle with old method : 0.035214900970458984 length of segment : 262 time for calcul the mask position with numpy : 0.14386439323425293 nb_pixel_total : 187151 time to create 1 rle with new method : 0.013661623001098633 length of segment : 1017 time for calcul the mask position with numpy : 0.039990901947021484 nb_pixel_total : 107461 time to create 1 rle with old method : 0.13816142082214355 length of segment : 674 time for calcul the mask position with numpy : 0.00037097930908203125 nb_pixel_total : 17411 time to create 1 rle with old method : 0.020253658294677734 length of segment : 161 time for calcul the mask position with numpy : 0.26747751235961914 nb_pixel_total : 84750 time to create 1 rle with old method : 0.10917496681213379 length of segment : 501 time for calcul the mask position with numpy : 0.16882634162902832 nb_pixel_total : 127842 time to create 1 rle with old method : 0.14809179306030273 length of segment : 428 time for calcul the mask position with numpy : 0.17880964279174805 nb_pixel_total : 102560 time to create 1 rle with old method : 0.12491750717163086 length of segment : 224 time for calcul the mask position with numpy : 0.13158345222473145 nb_pixel_total : 49833 time to create 1 rle with old method : 0.06048989295959473 length of segment : 350 time for calcul the mask position with numpy : 0.06814455986022949 nb_pixel_total : 43012 time to create 1 rle with old method : 0.07139706611633301 length of segment : 345 time for calcul the mask position with numpy : 0.24199366569519043 nb_pixel_total : 130236 time to create 1 rle with old method : 0.1500682830810547 length of segment : 438 time for calcul the mask position with numpy : 0.21468234062194824 nb_pixel_total : 58089 time to create 1 rle with old method : 0.06532788276672363 length of segment : 633 time for calcul the mask position with numpy : 0.10637211799621582 nb_pixel_total : 75195 time to create 1 rle with old method : 0.09076523780822754 length of segment : 451 time for calcul the mask position with numpy : 0.036411285400390625 nb_pixel_total : 18620 time to create 1 rle with old method : 0.026149749755859375 length of segment : 163 time for calcul the mask position with numpy : 0.04149341583251953 nb_pixel_total : 16861 time to create 1 rle with old method : 0.025367259979248047 length of segment : 159 time for calcul the mask position with numpy : 0.0771338939666748 nb_pixel_total : 58556 time to create 1 rle with old method : 0.07080078125 length of segment : 278 time for calcul the mask position with numpy : 0.2213139533996582 nb_pixel_total : 136686 time to create 1 rle with old method : 0.1739184856414795 length of segment : 455 time for calcul the mask position with numpy : 0.3898494243621826 nb_pixel_total : 172598 time to create 1 rle with new method : 0.023641109466552734 length of segment : 569 time for calcul the mask position with numpy : 0.894892692565918 nb_pixel_total : 914373 time to create 1 rle with new method : 0.11323428153991699 length of segment : 1358 time for calcul the mask position with numpy : 0.0603022575378418 nb_pixel_total : 46499 time to create 1 rle with old method : 0.057586669921875 length of segment : 438 time for calcul the mask position with numpy : 0.02159404754638672 nb_pixel_total : 4462 time to create 1 rle with old method : 0.0081024169921875 length of segment : 105 time for calcul the mask position with numpy : 0.0010297298431396484 nb_pixel_total : 39424 time to create 1 rle with old method : 0.04945039749145508 length of segment : 342 time for calcul the mask position with numpy : 0.12180590629577637 nb_pixel_total : 52467 time to create 1 rle with old method : 0.060610055923461914 length of segment : 227 time for calcul the mask position with numpy : 0.2702775001525879 nb_pixel_total : 100181 time to create 1 rle with old method : 0.11475896835327148 length of segment : 463 time for calcul the mask position with numpy : 0.06803560256958008 nb_pixel_total : 18525 time to create 1 rle with old method : 0.028029680252075195 length of segment : 242 time for calcul the mask position with numpy : 0.15836167335510254 nb_pixel_total : 61055 time to create 1 rle with old method : 0.07488489151000977 length of segment : 511 time for calcul the mask position with numpy : 0.0641639232635498 nb_pixel_total : 19136 time to create 1 rle with old method : 0.024746417999267578 length of segment : 161 time for calcul the mask position with numpy : 0.08246588706970215 nb_pixel_total : 26742 time to create 1 rle with old method : 0.03442049026489258 length of segment : 194 time for calcul the mask position with numpy : 0.12613964080810547 nb_pixel_total : 49370 time to create 1 rle with old method : 0.07571077346801758 length of segment : 327 time for calcul the mask position with numpy : 0.0421144962310791 nb_pixel_total : 6390 time to create 1 rle with old method : 0.011514425277709961 length of segment : 129 time for calcul the mask position with numpy : 0.15420055389404297 nb_pixel_total : 100373 time to create 1 rle with old method : 0.12882280349731445 length of segment : 523 time for calcul the mask position with numpy : 0.06610536575317383 nb_pixel_total : 22500 time to create 1 rle with old method : 0.03354811668395996 length of segment : 177 time for calcul the mask position with numpy : 0.06989789009094238 nb_pixel_total : 22621 time to create 1 rle with old method : 0.03156304359436035 length of segment : 145 time for calcul the mask position with numpy : 0.0876610279083252 nb_pixel_total : 20638 time to create 1 rle with old method : 0.028868675231933594 length of segment : 264 time for calcul the mask position with numpy : 0.09230756759643555 nb_pixel_total : 25771 time to create 1 rle with old method : 0.036832332611083984 length of segment : 165 time for calcul the mask position with numpy : 0.1446089744567871 nb_pixel_total : 70957 time to create 1 rle with old method : 0.08405256271362305 length of segment : 505 time for calcul the mask position with numpy : 0.03456473350524902 nb_pixel_total : 24720 time to create 1 rle with old method : 0.031733036041259766 length of segment : 281 time for calcul the mask position with numpy : 0.07418632507324219 nb_pixel_total : 38732 time to create 1 rle with old method : 0.049378395080566406 length of segment : 308 time for calcul the mask position with numpy : 0.21754908561706543 nb_pixel_total : 104470 time to create 1 rle with old method : 0.1325976848602295 length of segment : 363 time for calcul the mask position with numpy : 0.026595592498779297 nb_pixel_total : 7376 time to create 1 rle with old method : 0.008440256118774414 length of segment : 115 time for calcul the mask position with numpy : 0.08119463920593262 nb_pixel_total : 48547 time to create 1 rle with old method : 0.052790164947509766 length of segment : 358 time for calcul the mask position with numpy : 0.08692121505737305 nb_pixel_total : 25752 time to create 1 rle with old method : 0.03401923179626465 length of segment : 275 time for calcul the mask position with numpy : 0.005763053894042969 nb_pixel_total : 10250 time to create 1 rle with old method : 0.014558792114257812 length of segment : 121 time for calcul the mask position with numpy : 0.11198019981384277 nb_pixel_total : 47382 time to create 1 rle with old method : 0.05501961708068848 length of segment : 273 time for calcul the mask position with numpy : 0.06265473365783691 nb_pixel_total : 26270 time to create 1 rle with old method : 0.039133310317993164 length of segment : 287 time for calcul the mask position with numpy : 0.09455275535583496 nb_pixel_total : 24614 time to create 1 rle with old method : 0.03175163269042969 length of segment : 207 time for calcul the mask position with numpy : 0.07375788688659668 nb_pixel_total : 43513 time to create 1 rle with old method : 0.0526425838470459 length of segment : 258 time for calcul the mask position with numpy : 0.10955286026000977 nb_pixel_total : 15536 time to create 1 rle with old method : 0.02199697494506836 length of segment : 168 time for calcul the mask position with numpy : 0.15729808807373047 nb_pixel_total : 161762 time to create 1 rle with new method : 0.010775089263916016 length of segment : 473 time for calcul the mask position with numpy : 0.0007359981536865234 nb_pixel_total : 22000 time to create 1 rle with old method : 0.024627208709716797 length of segment : 159 time for calcul the mask position with numpy : 0.00937509536743164 nb_pixel_total : 7202 time to create 1 rle with old method : 0.012393712997436523 length of segment : 101 time for calcul the mask position with numpy : 0.013606071472167969 nb_pixel_total : 12250 time to create 1 rle with old method : 0.01837444305419922 length of segment : 189 time for calcul the mask position with numpy : 0.0004773139953613281 nb_pixel_total : 5203 time to create 1 rle with old method : 0.005795955657958984 length of segment : 129 time for calcul the mask position with numpy : 0.04289126396179199 nb_pixel_total : 27845 time to create 1 rle with old method : 0.03355073928833008 length of segment : 380 time for calcul the mask position with numpy : 0.0008113384246826172 nb_pixel_total : 17232 time to create 1 rle with old method : 0.019892215728759766 length of segment : 108 time for calcul the mask position with numpy : 0.04623126983642578 nb_pixel_total : 22791 time to create 1 rle with old method : 0.02570486068725586 length of segment : 136 time for calcul the mask position with numpy : 0.04848170280456543 nb_pixel_total : 16399 time to create 1 rle with old method : 0.02445673942565918 length of segment : 142 time for calcul the mask position with numpy : 0.03721499443054199 nb_pixel_total : 32018 time to create 1 rle with old method : 0.040140390396118164 length of segment : 350 time for calcul the mask position with numpy : 0.019026756286621094 nb_pixel_total : 31461 time to create 1 rle with old method : 0.038654327392578125 length of segment : 318 time for calcul the mask position with numpy : 0.04619956016540527 nb_pixel_total : 20363 time to create 1 rle with old method : 0.028728723526000977 length of segment : 183 time for calcul the mask position with numpy : 0.00010919570922851562 nb_pixel_total : 4308 time to create 1 rle with old method : 0.004975557327270508 length of segment : 48 time for calcul the mask position with numpy : 0.012029409408569336 nb_pixel_total : 24951 time to create 1 rle with old method : 0.029592514038085938 length of segment : 532 time for calcul the mask position with numpy : 0.05764579772949219 nb_pixel_total : 14207 time to create 1 rle with old method : 0.019463062286376953 length of segment : 150 time for calcul the mask position with numpy : 0.08797574043273926 nb_pixel_total : 14260 time to create 1 rle with old method : 0.02158665657043457 length of segment : 217 time for calcul the mask position with numpy : 0.13611912727355957 nb_pixel_total : 37483 time to create 1 rle with old method : 0.0504765510559082 length of segment : 270 time for calcul the mask position with numpy : 0.09434223175048828 nb_pixel_total : 47095 time to create 1 rle with old method : 0.056487083435058594 length of segment : 307 time for calcul the mask position with numpy : 0.09318375587463379 nb_pixel_total : 58279 time to create 1 rle with old method : 0.07088708877563477 length of segment : 288 time for calcul the mask position with numpy : 0.021181106567382812 nb_pixel_total : 4382 time to create 1 rle with old method : 0.01175689697265625 length of segment : 79 time for calcul the mask position with numpy : 0.049085140228271484 nb_pixel_total : 19638 time to create 1 rle with old method : 0.024280548095703125 length of segment : 129 time for calcul the mask position with numpy : 0.04618406295776367 nb_pixel_total : 13973 time to create 1 rle with old method : 0.018320322036743164 length of segment : 177 time for calcul the mask position with numpy : 0.23595046997070312 nb_pixel_total : 155744 time to create 1 rle with new method : 0.01407933235168457 length of segment : 528 time for calcul the mask position with numpy : 0.21481108665466309 nb_pixel_total : 129485 time to create 1 rle with old method : 0.16311359405517578 length of segment : 376 time for calcul the mask position with numpy : 0.08225131034851074 nb_pixel_total : 21926 time to create 1 rle with old method : 0.029220104217529297 length of segment : 335 time for calcul the mask position with numpy : 0.1856064796447754 nb_pixel_total : 62375 time to create 1 rle with old method : 0.07547712326049805 length of segment : 378 time for calcul the mask position with numpy : 0.0020852088928222656 nb_pixel_total : 12550 time to create 1 rle with old method : 0.015238761901855469 length of segment : 110 time for calcul the mask position with numpy : 0.045022010803222656 nb_pixel_total : 15130 time to create 1 rle with old method : 0.02233600616455078 length of segment : 159 time for calcul the mask position with numpy : 0.11070728302001953 nb_pixel_total : 38076 time to create 1 rle with old method : 0.04748845100402832 length of segment : 285 time for calcul the mask position with numpy : 0.03637361526489258 nb_pixel_total : 30873 time to create 1 rle with old method : 0.04944419860839844 length of segment : 246 time for calcul the mask position with numpy : 0.028005123138427734 nb_pixel_total : 28037 time to create 1 rle with old method : 0.03742408752441406 length of segment : 212 time for calcul the mask position with numpy : 0.0382237434387207 nb_pixel_total : 10863 time to create 1 rle with old method : 0.014867544174194336 length of segment : 115 time for calcul the mask position with numpy : 0.032042503356933594 nb_pixel_total : 32861 time to create 1 rle with old method : 0.0399928092956543 length of segment : 207 time for calcul the mask position with numpy : 0.013139724731445312 nb_pixel_total : 12516 time to create 1 rle with old method : 0.0184481143951416 length of segment : 104 time for calcul the mask position with numpy : 0.08996844291687012 nb_pixel_total : 27408 time to create 1 rle with old method : 0.032508134841918945 length of segment : 253 time for calcul the mask position with numpy : 0.06858515739440918 nb_pixel_total : 42011 time to create 1 rle with old method : 0.05147671699523926 length of segment : 219 time for calcul the mask position with numpy : 0.16938543319702148 nb_pixel_total : 58431 time to create 1 rle with old method : 0.07121038436889648 length of segment : 285 time for calcul the mask position with numpy : 0.003404378890991211 nb_pixel_total : 42416 time to create 1 rle with old method : 0.04642176628112793 length of segment : 238 time for calcul the mask position with numpy : 0.030400753021240234 nb_pixel_total : 13007 time to create 1 rle with old method : 0.020168304443359375 length of segment : 115 time for calcul the mask position with numpy : 0.11173772811889648 nb_pixel_total : 40382 time to create 1 rle with old method : 0.06126976013183594 length of segment : 255 time for calcul the mask position with numpy : 0.12241339683532715 nb_pixel_total : 62185 time to create 1 rle with old method : 0.07404732704162598 length of segment : 252 time for calcul the mask position with numpy : 0.0002620220184326172 nb_pixel_total : 7702 time to create 1 rle with old method : 0.008843421936035156 length of segment : 112 time for calcul the mask position with numpy : 0.07221031188964844 nb_pixel_total : 21410 time to create 1 rle with old method : 0.028426647186279297 length of segment : 175 time for calcul the mask position with numpy : 0.11773920059204102 nb_pixel_total : 60871 time to create 1 rle with old method : 0.07072162628173828 length of segment : 239 time for calcul the mask position with numpy : 0.06453585624694824 nb_pixel_total : 14898 time to create 1 rle with old method : 0.020746469497680664 length of segment : 167 time for calcul the mask position with numpy : 0.039961814880371094 nb_pixel_total : 12002 time to create 1 rle with old method : 0.019838571548461914 length of segment : 123 time for calcul the mask position with numpy : 0.10290765762329102 nb_pixel_total : 19461 time to create 1 rle with old method : 0.027064800262451172 length of segment : 211 time for calcul the mask position with numpy : 0.0637507438659668 nb_pixel_total : 32474 time to create 1 rle with old method : 0.04035806655883789 length of segment : 191 time for calcul the mask position with numpy : 0.03338122367858887 nb_pixel_total : 13206 time to create 1 rle with old method : 0.021430253982543945 length of segment : 83 time for calcul the mask position with numpy : 0.03963661193847656 nb_pixel_total : 7618 time to create 1 rle with old method : 0.012134313583374023 length of segment : 154 time for calcul the mask position with numpy : 0.049128055572509766 nb_pixel_total : 15190 time to create 1 rle with old method : 0.019666194915771484 length of segment : 120 time for calcul the mask position with numpy : 0.07215166091918945 nb_pixel_total : 16247 time to create 1 rle with old method : 0.027001380920410156 length of segment : 165 time for calcul the mask position with numpy : 0.24219608306884766 nb_pixel_total : 64698 time to create 1 rle with old method : 0.07462787628173828 length of segment : 446 time for calcul the mask position with numpy : 0.029962539672851562 nb_pixel_total : 6725 time to create 1 rle with old method : 0.012857198715209961 length of segment : 101 time for calcul the mask position with numpy : 0.07606029510498047 nb_pixel_total : 24423 time to create 1 rle with old method : 0.031222820281982422 length of segment : 164 time for calcul the mask position with numpy : 0.019173383712768555 nb_pixel_total : 14281 time to create 1 rle with old method : 0.01822495460510254 length of segment : 151 time for calcul the mask position with numpy : 0.32862257957458496 nb_pixel_total : 141720 time to create 1 rle with old method : 0.1546339988708496 length of segment : 424 time for calcul the mask position with numpy : 0.12829995155334473 nb_pixel_total : 59520 time to create 1 rle with old method : 0.06823396682739258 length of segment : 350 time for calcul the mask position with numpy : 0.02995157241821289 nb_pixel_total : 8094 time to create 1 rle with old method : 0.014016389846801758 length of segment : 92 time for calcul the mask position with numpy : 0.14929962158203125 nb_pixel_total : 38186 time to create 1 rle with old method : 0.06165599822998047 length of segment : 461 time for calcul the mask position with numpy : 0.06835532188415527 nb_pixel_total : 19108 time to create 1 rle with old method : 0.027583837509155273 length of segment : 212 time for calcul the mask position with numpy : 0.1001286506652832 nb_pixel_total : 40161 time to create 1 rle with old method : 0.04764723777770996 length of segment : 227 time for calcul the mask position with numpy : 0.1581270694732666 nb_pixel_total : 47252 time to create 1 rle with old method : 0.06412935256958008 length of segment : 614 time for calcul the mask position with numpy : 0.05585432052612305 nb_pixel_total : 20699 time to create 1 rle with old method : 0.03811144828796387 length of segment : 128 time for calcul the mask position with numpy : 0.027310848236083984 nb_pixel_total : 9346 time to create 1 rle with old method : 0.01467132568359375 length of segment : 157 time for calcul the mask position with numpy : 0.04377102851867676 nb_pixel_total : 13025 time to create 1 rle with old method : 0.02063727378845215 length of segment : 155 time for calcul the mask position with numpy : 0.08554768562316895 nb_pixel_total : 46682 time to create 1 rle with old method : 0.05677628517150879 length of segment : 262 time for calcul the mask position with numpy : 0.007224559783935547 nb_pixel_total : 11583 time to create 1 rle with old method : 0.01706242561340332 length of segment : 136 time for calcul the mask position with numpy : 0.00502777099609375 nb_pixel_total : 6504 time to create 1 rle with old method : 0.011395454406738281 length of segment : 139 time for calcul the mask position with numpy : 0.02371072769165039 nb_pixel_total : 8803 time to create 1 rle with old method : 0.015476226806640625 length of segment : 123 time for calcul the mask position with numpy : 0.03338932991027832 nb_pixel_total : 12419 time to create 1 rle with old method : 0.016562223434448242 length of segment : 88 time for calcul the mask position with numpy : 0.2894551753997803 nb_pixel_total : 72959 time to create 1 rle with old method : 0.1337597370147705 length of segment : 460 time for calcul the mask position with numpy : 0.036617279052734375 nb_pixel_total : 6184 time to create 1 rle with old method : 0.01038813591003418 length of segment : 108 time for calcul the mask position with numpy : 0.36704587936401367 nb_pixel_total : 101675 time to create 1 rle with old method : 0.18560123443603516 length of segment : 280 time for calcul the mask position with numpy : 0.1284809112548828 nb_pixel_total : 32907 time to create 1 rle with old method : 0.04381752014160156 length of segment : 265 time for calcul the mask position with numpy : 0.06259703636169434 nb_pixel_total : 12173 time to create 1 rle with old method : 0.018524169921875 length of segment : 173 time for calcul the mask position with numpy : 0.03541254997253418 nb_pixel_total : 7302 time to create 1 rle with old method : 0.008539915084838867 length of segment : 106 time for calcul the mask position with numpy : 0.09375929832458496 nb_pixel_total : 35913 time to create 1 rle with old method : 0.047959089279174805 length of segment : 263 time for calcul the mask position with numpy : 0.1460247039794922 nb_pixel_total : 28805 time to create 1 rle with old method : 0.03950381278991699 length of segment : 198 time for calcul the mask position with numpy : 0.10007500648498535 nb_pixel_total : 26034 time to create 1 rle with old method : 0.03426671028137207 length of segment : 319 time for calcul the mask position with numpy : 0.012318849563598633 nb_pixel_total : 4902 time to create 1 rle with old method : 0.009752273559570312 length of segment : 80 time for calcul the mask position with numpy : 0.02431774139404297 nb_pixel_total : 11097 time to create 1 rle with old method : 0.017119884490966797 length of segment : 146 time for calcul the mask position with numpy : 0.04983401298522949 nb_pixel_total : 10902 time to create 1 rle with old method : 0.024715900421142578 length of segment : 146 time for calcul the mask position with numpy : 0.05979156494140625 nb_pixel_total : 12913 time to create 1 rle with old method : 0.01930069923400879 length of segment : 152 time for calcul the mask position with numpy : 0.1329481601715088 nb_pixel_total : 30197 time to create 1 rle with old method : 0.04620814323425293 length of segment : 397 time for calcul the mask position with numpy : 0.09369707107543945 nb_pixel_total : 23755 time to create 1 rle with old method : 0.032631635665893555 length of segment : 195 time for calcul the mask position with numpy : 0.00031757354736328125 nb_pixel_total : 8117 time to create 1 rle with old method : 0.009290695190429688 length of segment : 123 time for calcul the mask position with numpy : 0.08112263679504395 nb_pixel_total : 24343 time to create 1 rle with old method : 0.031397104263305664 length of segment : 279 time for calcul the mask position with numpy : 0.13606810569763184 nb_pixel_total : 46313 time to create 1 rle with old method : 0.05589175224304199 length of segment : 256 time for calcul the mask position with numpy : 0.06407046318054199 nb_pixel_total : 13609 time to create 1 rle with old method : 0.020186185836791992 length of segment : 136 time for calcul the mask position with numpy : 0.07455754280090332 nb_pixel_total : 18372 time to create 1 rle with old method : 0.02520751953125 length of segment : 267 time for calcul the mask position with numpy : 0.11390256881713867 nb_pixel_total : 34517 time to create 1 rle with old method : 0.04455757141113281 length of segment : 258 time for calcul the mask position with numpy : 0.1134955883026123 nb_pixel_total : 27694 time to create 1 rle with old method : 0.036232948303222656 length of segment : 190 time for calcul the mask position with numpy : 0.02411198616027832 nb_pixel_total : 5594 time to create 1 rle with old method : 0.01098489761352539 length of segment : 80 time for calcul the mask position with numpy : 0.08556485176086426 nb_pixel_total : 22806 time to create 1 rle with old method : 0.029705286026000977 length of segment : 202 time for calcul the mask position with numpy : 0.048249006271362305 nb_pixel_total : 12402 time to create 1 rle with old method : 0.018650293350219727 length of segment : 118 time for calcul the mask position with numpy : 0.06914544105529785 nb_pixel_total : 22483 time to create 1 rle with old method : 0.029370784759521484 length of segment : 309 time for calcul the mask position with numpy : 0.030968904495239258 nb_pixel_total : 6170 time to create 1 rle with old method : 0.009530305862426758 length of segment : 112 time for calcul the mask position with numpy : 0.030660152435302734 nb_pixel_total : 4663 time to create 1 rle with old method : 0.008727550506591797 length of segment : 101 time for calcul the mask position with numpy : 0.12079453468322754 nb_pixel_total : 30797 time to create 1 rle with old method : 0.07062864303588867 length of segment : 253 time for calcul the mask position with numpy : 0.05420827865600586 nb_pixel_total : 13346 time to create 1 rle with old method : 0.017166614532470703 length of segment : 147 time for calcul the mask position with numpy : 0.03889203071594238 nb_pixel_total : 6038 time to create 1 rle with old method : 0.010857343673706055 length of segment : 103 time for calcul the mask position with numpy : 0.18296313285827637 nb_pixel_total : 58308 time to create 1 rle with old method : 0.0677652359008789 length of segment : 261 time for calcul the mask position with numpy : 0.06646347045898438 nb_pixel_total : 9601 time to create 1 rle with old method : 0.013666391372680664 length of segment : 284 time for calcul the mask position with numpy : 0.09723758697509766 nb_pixel_total : 52695 time to create 1 rle with old method : 0.05895376205444336 length of segment : 264 time for calcul the mask position with numpy : 0.018630266189575195 nb_pixel_total : 4103 time to create 1 rle with old method : 0.005822896957397461 length of segment : 82 time for calcul the mask position with numpy : 0.23871588706970215 nb_pixel_total : 69053 time to create 1 rle with old method : 0.08038926124572754 length of segment : 500 time for calcul the mask position with numpy : 0.033959150314331055 nb_pixel_total : 24250 time to create 1 rle with old method : 0.03206157684326172 length of segment : 207 time for calcul the mask position with numpy : 0.11689925193786621 nb_pixel_total : 46596 time to create 1 rle with old method : 0.05436229705810547 length of segment : 285 time for calcul the mask position with numpy : 0.03706002235412598 nb_pixel_total : 9889 time to create 1 rle with old method : 0.016489505767822266 length of segment : 150 time for calcul the mask position with numpy : 0.07491922378540039 nb_pixel_total : 30885 time to create 1 rle with old method : 0.03747224807739258 length of segment : 214 time for calcul the mask position with numpy : 0.2065885066986084 nb_pixel_total : 122313 time to create 1 rle with old method : 0.16266345977783203 length of segment : 395 time for calcul the mask position with numpy : 0.043802499771118164 nb_pixel_total : 18822 time to create 1 rle with old method : 0.021854400634765625 length of segment : 144 time for calcul the mask position with numpy : 0.004754543304443359 nb_pixel_total : 4439 time to create 1 rle with old method : 0.005255699157714844 length of segment : 153 time for calcul the mask position with numpy : 0.19817829132080078 nb_pixel_total : 147628 time to create 1 rle with old method : 0.16337847709655762 length of segment : 578 time for calcul the mask position with numpy : 0.06155228614807129 nb_pixel_total : 39607 time to create 1 rle with old method : 0.04661059379577637 length of segment : 265 time for calcul the mask position with numpy : 0.3313257694244385 nb_pixel_total : 246863 time to create 1 rle with new method : 0.01779460906982422 length of segment : 1101 time for calcul the mask position with numpy : 0.04740262031555176 nb_pixel_total : 16841 time to create 1 rle with old method : 0.024865150451660156 length of segment : 284 time for calcul the mask position with numpy : 0.022545337677001953 nb_pixel_total : 9642 time to create 1 rle with old method : 0.014954090118408203 length of segment : 124 time for calcul the mask position with numpy : 0.018033742904663086 nb_pixel_total : 14473 time to create 1 rle with old method : 0.019471406936645508 length of segment : 117 time for calcul the mask position with numpy : 0.0196075439453125 nb_pixel_total : 8541 time to create 1 rle with old method : 0.013995885848999023 length of segment : 107 time for calcul the mask position with numpy : 0.08716726303100586 nb_pixel_total : 64960 time to create 1 rle with old method : 0.07692503929138184 length of segment : 362 time for calcul the mask position with numpy : 0.09528970718383789 nb_pixel_total : 67313 time to create 1 rle with old method : 0.07962465286254883 length of segment : 386 time for calcul the mask position with numpy : 0.004623889923095703 nb_pixel_total : 13304 time to create 1 rle with old method : 0.022057294845581055 length of segment : 111 time for calcul the mask position with numpy : 0.11532092094421387 nb_pixel_total : 100180 time to create 1 rle with old method : 0.14083647727966309 length of segment : 438 time for calcul the mask position with numpy : 0.0576472282409668 nb_pixel_total : 57153 time to create 1 rle with old method : 0.06755328178405762 length of segment : 284 time for calcul the mask position with numpy : 0.010359764099121094 nb_pixel_total : 29184 time to create 1 rle with old method : 0.036429643630981445 length of segment : 242 time for calcul the mask position with numpy : 0.015228509902954102 nb_pixel_total : 18672 time to create 1 rle with old method : 0.026066303253173828 length of segment : 150 time for calcul the mask position with numpy : 0.04195523262023926 nb_pixel_total : 15762 time to create 1 rle with old method : 0.017403364181518555 length of segment : 113 time for calcul the mask position with numpy : 0.28642702102661133 nb_pixel_total : 121006 time to create 1 rle with old method : 0.1369783878326416 length of segment : 361 time for calcul the mask position with numpy : 0.189619779586792 nb_pixel_total : 50818 time to create 1 rle with old method : 0.05903029441833496 length of segment : 377 time for calcul the mask position with numpy : 0.16167426109313965 nb_pixel_total : 69522 time to create 1 rle with old method : 0.08155989646911621 length of segment : 296 time for calcul the mask position with numpy : 0.14194703102111816 nb_pixel_total : 43846 time to create 1 rle with old method : 0.05400705337524414 length of segment : 269 time for calcul the mask position with numpy : 0.08290767669677734 nb_pixel_total : 22955 time to create 1 rle with old method : 0.029244422912597656 length of segment : 246 time for calcul the mask position with numpy : 0.046448707580566406 nb_pixel_total : 18589 time to create 1 rle with old method : 0.020656347274780273 length of segment : 118 time for calcul the mask position with numpy : 0.047734737396240234 nb_pixel_total : 12735 time to create 1 rle with old method : 0.020229578018188477 length of segment : 112 time for calcul the mask position with numpy : 0.19175243377685547 nb_pixel_total : 113841 time to create 1 rle with old method : 0.13042068481445312 length of segment : 254 time for calcul the mask position with numpy : 0.14637994766235352 nb_pixel_total : 44582 time to create 1 rle with old method : 0.04868578910827637 length of segment : 263 time for calcul the mask position with numpy : 0.3816215991973877 nb_pixel_total : 105356 time to create 1 rle with old method : 0.12056922912597656 length of segment : 348 time for calcul the mask position with numpy : 0.1203618049621582 nb_pixel_total : 41583 time to create 1 rle with old method : 0.05385994911193848 length of segment : 230 time for calcul the mask position with numpy : 0.1060035228729248 nb_pixel_total : 36484 time to create 1 rle with old method : 0.043511390686035156 length of segment : 342 time for calcul the mask position with numpy : 0.16671180725097656 nb_pixel_total : 75155 time to create 1 rle with old method : 0.11886453628540039 length of segment : 471 time for calcul the mask position with numpy : 0.047475576400756836 nb_pixel_total : 45209 time to create 1 rle with old method : 0.05751371383666992 length of segment : 272 time for calcul the mask position with numpy : 0.08193612098693848 nb_pixel_total : 24236 time to create 1 rle with old method : 0.0319209098815918 length of segment : 213 time for calcul the mask position with numpy : 0.08430767059326172 nb_pixel_total : 20339 time to create 1 rle with old method : 0.028542518615722656 length of segment : 178 time for calcul the mask position with numpy : 0.08547282218933105 nb_pixel_total : 23515 time to create 1 rle with old method : 0.03066873550415039 length of segment : 245 time for calcul the mask position with numpy : 0.14110255241394043 nb_pixel_total : 54627 time to create 1 rle with old method : 0.06936120986938477 length of segment : 289 time for calcul the mask position with numpy : 0.05061221122741699 nb_pixel_total : 49239 time to create 1 rle with old method : 0.05875682830810547 length of segment : 343 time for calcul the mask position with numpy : 0.08265113830566406 nb_pixel_total : 38844 time to create 1 rle with old method : 0.05265212059020996 length of segment : 257 time for calcul the mask position with numpy : 0.10228395462036133 nb_pixel_total : 44194 time to create 1 rle with old method : 0.052747249603271484 length of segment : 281 time for calcul the mask position with numpy : 0.02614140510559082 nb_pixel_total : 19780 time to create 1 rle with old method : 0.028465986251831055 length of segment : 199 time for calcul the mask position with numpy : 0.14886903762817383 nb_pixel_total : 56013 time to create 1 rle with old method : 0.07947659492492676 length of segment : 435 time for calcul the mask position with numpy : 0.10912203788757324 nb_pixel_total : 29544 time to create 1 rle with old method : 0.03999590873718262 length of segment : 207 time for calcul the mask position with numpy : 0.046059370040893555 nb_pixel_total : 67481 time to create 1 rle with old method : 0.0797722339630127 length of segment : 362 time for calcul the mask position with numpy : 0.023598670959472656 nb_pixel_total : 35630 time to create 1 rle with old method : 0.042255401611328125 length of segment : 254 time for calcul the mask position with numpy : 0.0018236637115478516 nb_pixel_total : 10259 time to create 1 rle with old method : 0.01164698600769043 length of segment : 90 time for calcul the mask position with numpy : 0.033818721771240234 nb_pixel_total : 17170 time to create 1 rle with old method : 0.024262189865112305 length of segment : 146 time for calcul the mask position with numpy : 0.056136131286621094 nb_pixel_total : 22700 time to create 1 rle with old method : 0.03150129318237305 length of segment : 217 time for calcul the mask position with numpy : 0.11734247207641602 nb_pixel_total : 53166 time to create 1 rle with old method : 0.06324553489685059 length of segment : 371 time for calcul the mask position with numpy : 0.003313302993774414 nb_pixel_total : 29124 time to create 1 rle with old method : 0.034487009048461914 length of segment : 209 time for calcul the mask position with numpy : 0.07607579231262207 nb_pixel_total : 30998 time to create 1 rle with old method : 0.03549504280090332 length of segment : 347 time for calcul the mask position with numpy : 0.06058788299560547 nb_pixel_total : 32820 time to create 1 rle with old method : 0.04104161262512207 length of segment : 241 time for calcul the mask position with numpy : 0.0771481990814209 nb_pixel_total : 42679 time to create 1 rle with old method : 0.05210065841674805 length of segment : 288 time for calcul the mask position with numpy : 0.009602069854736328 nb_pixel_total : 35604 time to create 1 rle with old method : 0.0437319278717041 length of segment : 337 time for calcul the mask position with numpy : 0.04557538032531738 nb_pixel_total : 15604 time to create 1 rle with old method : 0.022673368453979492 length of segment : 121 time for calcul the mask position with numpy : 0.03122115135192871 nb_pixel_total : 11215 time to create 1 rle with old method : 0.01779937744140625 length of segment : 197 time for calcul the mask position with numpy : 0.07566094398498535 nb_pixel_total : 82966 time to create 1 rle with old method : 0.0911407470703125 length of segment : 457 time for calcul the mask position with numpy : 0.06624841690063477 nb_pixel_total : 18588 time to create 1 rle with old method : 0.023932218551635742 length of segment : 198 time for calcul the mask position with numpy : 0.004770755767822266 nb_pixel_total : 14793 time to create 1 rle with old method : 0.018602848052978516 length of segment : 143 time for calcul the mask position with numpy : 0.07115721702575684 nb_pixel_total : 18731 time to create 1 rle with old method : 0.024837732315063477 length of segment : 172 time for calcul the mask position with numpy : 0.04726076126098633 nb_pixel_total : 11776 time to create 1 rle with old method : 0.018632173538208008 length of segment : 136 time for calcul the mask position with numpy : 0.3263676166534424 nb_pixel_total : 160877 time to create 1 rle with new method : 0.010071754455566406 length of segment : 468 time for calcul the mask position with numpy : 0.031989336013793945 nb_pixel_total : 6377 time to create 1 rle with old method : 0.009947061538696289 length of segment : 69 time for calcul the mask position with numpy : 0.09855508804321289 nb_pixel_total : 22768 time to create 1 rle with old method : 0.026408910751342773 length of segment : 201 time for calcul the mask position with numpy : 0.17114830017089844 nb_pixel_total : 47811 time to create 1 rle with old method : 0.058293819427490234 length of segment : 349 time for calcul the mask position with numpy : 0.013270378112792969 nb_pixel_total : 14167 time to create 1 rle with old method : 0.025025606155395508 length of segment : 200 time for calcul the mask position with numpy : 0.3857390880584717 nb_pixel_total : 157891 time to create 1 rle with new method : 0.010628700256347656 length of segment : 504 time for calcul the mask position with numpy : 0.10706615447998047 nb_pixel_total : 46448 time to create 1 rle with old method : 0.05542111396789551 length of segment : 469 time for calcul the mask position with numpy : 0.07450389862060547 nb_pixel_total : 20265 time to create 1 rle with old method : 0.025727510452270508 length of segment : 218 time for calcul the mask position with numpy : 0.11503052711486816 nb_pixel_total : 46937 time to create 1 rle with old method : 0.06071877479553223 length of segment : 301 time for calcul the mask position with numpy : 0.10480856895446777 nb_pixel_total : 32846 time to create 1 rle with old method : 0.04450798034667969 length of segment : 307 time for calcul the mask position with numpy : 0.07525801658630371 nb_pixel_total : 20700 time to create 1 rle with old method : 0.028390169143676758 length of segment : 257 time for calcul the mask position with numpy : 0.05760359764099121 nb_pixel_total : 23991 time to create 1 rle with old method : 0.029062747955322266 length of segment : 279 time for calcul the mask position with numpy : 0.039656639099121094 nb_pixel_total : 21167 time to create 1 rle with old method : 0.027460575103759766 length of segment : 143 time for calcul the mask position with numpy : 0.11356854438781738 nb_pixel_total : 39444 time to create 1 rle with old method : 0.0469815731048584 length of segment : 323 time for calcul the mask position with numpy : 0.048558712005615234 nb_pixel_total : 23334 time to create 1 rle with old method : 0.030216455459594727 length of segment : 172 time for calcul the mask position with numpy : 0.04485511779785156 nb_pixel_total : 21633 time to create 1 rle with old method : 0.03156018257141113 length of segment : 225 time for calcul the mask position with numpy : 0.056604623794555664 nb_pixel_total : 15223 time to create 1 rle with old method : 0.021434545516967773 length of segment : 246 time for calcul the mask position with numpy : 0.023434162139892578 nb_pixel_total : 9532 time to create 1 rle with old method : 0.01556706428527832 length of segment : 87 time for calcul the mask position with numpy : 0.11204314231872559 nb_pixel_total : 42040 time to create 1 rle with old method : 0.04975295066833496 length of segment : 246 time for calcul the mask position with numpy : 0.06808233261108398 nb_pixel_total : 39265 time to create 1 rle with old method : 0.0451812744140625 length of segment : 193 time for calcul the mask position with numpy : 0.025152206420898438 nb_pixel_total : 9608 time to create 1 rle with old method : 0.014811038970947266 length of segment : 147 time for calcul the mask position with numpy : 0.0009706020355224609 nb_pixel_total : 38656 time to create 1 rle with old method : 0.04385495185852051 length of segment : 316 time for calcul the mask position with numpy : 0.08951568603515625 nb_pixel_total : 44601 time to create 1 rle with old method : 0.05252981185913086 length of segment : 306 time for calcul the mask position with numpy : 0.08673954010009766 nb_pixel_total : 55666 time to create 1 rle with old method : 0.06350350379943848 length of segment : 297 time for calcul the mask position with numpy : 0.08455681800842285 nb_pixel_total : 28812 time to create 1 rle with old method : 0.03572392463684082 length of segment : 204 time for calcul the mask position with numpy : 0.06196331977844238 nb_pixel_total : 14318 time to create 1 rle with old method : 0.021400928497314453 length of segment : 313 time for calcul the mask position with numpy : 0.08635473251342773 nb_pixel_total : 34212 time to create 1 rle with old method : 0.04187965393066406 length of segment : 259 time for calcul the mask position with numpy : 0.048503875732421875 nb_pixel_total : 7994 time to create 1 rle with old method : 0.011540412902832031 length of segment : 134 time for calcul the mask position with numpy : 0.03092026710510254 nb_pixel_total : 10074 time to create 1 rle with old method : 0.014018774032592773 length of segment : 109 time for calcul the mask position with numpy : 0.06556940078735352 nb_pixel_total : 41939 time to create 1 rle with old method : 0.04846763610839844 length of segment : 268 time for calcul the mask position with numpy : 0.05621647834777832 nb_pixel_total : 11183 time to create 1 rle with old method : 0.022134780883789062 length of segment : 141 time for calcul the mask position with numpy : 0.020528316497802734 nb_pixel_total : 6148 time to create 1 rle with old method : 0.010261297225952148 length of segment : 85 time for calcul the mask position with numpy : 0.0905601978302002 nb_pixel_total : 48102 time to create 1 rle with old method : 0.06598663330078125 length of segment : 294 time for calcul the mask position with numpy : 0.10067939758300781 nb_pixel_total : 40759 time to create 1 rle with old method : 0.05011916160583496 length of segment : 309 time for calcul the mask position with numpy : 0.04268908500671387 nb_pixel_total : 20930 time to create 1 rle with old method : 0.02693915367126465 length of segment : 170 time for calcul the mask position with numpy : 0.0242006778717041 nb_pixel_total : 6091 time to create 1 rle with old method : 0.01056218147277832 length of segment : 87 time for calcul the mask position with numpy : 0.046981096267700195 nb_pixel_total : 24111 time to create 1 rle with old method : 0.02936244010925293 length of segment : 278 time for calcul the mask position with numpy : 0.002069711685180664 nb_pixel_total : 19778 time to create 1 rle with old method : 0.02222299575805664 length of segment : 491 time for calcul the mask position with numpy : 0.0026521682739257812 nb_pixel_total : 7877 time to create 1 rle with old method : 0.009744644165039062 length of segment : 95 time for calcul the mask position with numpy : 0.043609619140625 nb_pixel_total : 11777 time to create 1 rle with old method : 0.0183563232421875 length of segment : 126 time for calcul the mask position with numpy : 0.1921384334564209 nb_pixel_total : 105604 time to create 1 rle with old method : 0.1576695442199707 length of segment : 373 time for calcul the mask position with numpy : 0.06488323211669922 nb_pixel_total : 27419 time to create 1 rle with old method : 0.03840947151184082 length of segment : 175 time for calcul the mask position with numpy : 0.07484984397888184 nb_pixel_total : 28503 time to create 1 rle with old method : 0.03716611862182617 length of segment : 150 time for calcul the mask position with numpy : 0.04613018035888672 nb_pixel_total : 18645 time to create 1 rle with old method : 0.025913000106811523 length of segment : 142 time for calcul the mask position with numpy : 0.09598135948181152 nb_pixel_total : 25592 time to create 1 rle with old method : 0.04204130172729492 length of segment : 241 time for calcul the mask position with numpy : 0.05709052085876465 nb_pixel_total : 18372 time to create 1 rle with old method : 0.021616458892822266 length of segment : 172 time for calcul the mask position with numpy : 0.11051630973815918 nb_pixel_total : 46814 time to create 1 rle with old method : 0.05505037307739258 length of segment : 262 time for calcul the mask position with numpy : 0.11715435981750488 nb_pixel_total : 48784 time to create 1 rle with old method : 0.05830216407775879 length of segment : 532 time for calcul the mask position with numpy : 0.0679025650024414 nb_pixel_total : 29699 time to create 1 rle with old method : 0.037200927734375 length of segment : 206 time for calcul the mask position with numpy : 0.18981575965881348 nb_pixel_total : 106080 time to create 1 rle with old method : 0.11566281318664551 length of segment : 552 time for calcul the mask position with numpy : 0.04125213623046875 nb_pixel_total : 22256 time to create 1 rle with old method : 0.028692960739135742 length of segment : 141 time for calcul the mask position with numpy : 0.15460515022277832 nb_pixel_total : 74389 time to create 1 rle with old method : 0.08336615562438965 length of segment : 295 time for calcul the mask position with numpy : 0.06535077095031738 nb_pixel_total : 29378 time to create 1 rle with old method : 0.03653430938720703 length of segment : 202 time for calcul the mask position with numpy : 0.1712055206298828 nb_pixel_total : 96802 time to create 1 rle with old method : 0.11335897445678711 length of segment : 539 time for calcul the mask position with numpy : 0.04796314239501953 nb_pixel_total : 30970 time to create 1 rle with old method : 0.03748679161071777 length of segment : 179 time for calcul the mask position with numpy : 0.07573652267456055 nb_pixel_total : 33534 time to create 1 rle with old method : 0.042838335037231445 length of segment : 207 time for calcul the mask position with numpy : 0.1509995460510254 nb_pixel_total : 91486 time to create 1 rle with old method : 0.10279130935668945 length of segment : 347 time for calcul the mask position with numpy : 0.0004937648773193359 nb_pixel_total : 18160 time to create 1 rle with old method : 0.02069377899169922 length of segment : 161 time for calcul the mask position with numpy : 0.0207059383392334 nb_pixel_total : 7690 time to create 1 rle with old method : 0.013374567031860352 length of segment : 56 time for calcul the mask position with numpy : 0.05308699607849121 nb_pixel_total : 30284 time to create 1 rle with old method : 0.038007497787475586 length of segment : 225 time for calcul the mask position with numpy : 0.03595304489135742 nb_pixel_total : 13535 time to create 1 rle with old method : 0.020798921585083008 length of segment : 188 time for calcul the mask position with numpy : 0.0664222240447998 nb_pixel_total : 22029 time to create 1 rle with old method : 0.026959896087646484 length of segment : 162 time for calcul the mask position with numpy : 0.0024824142456054688 nb_pixel_total : 8164 time to create 1 rle with old method : 0.009161949157714844 length of segment : 77 time for calcul the mask position with numpy : 0.27262401580810547 nb_pixel_total : 226440 time to create 1 rle with new method : 0.011354446411132812 length of segment : 573 time for calcul the mask position with numpy : 0.06464409828186035 nb_pixel_total : 21933 time to create 1 rle with old method : 0.030081510543823242 length of segment : 416 time for calcul the mask position with numpy : 0.023401737213134766 nb_pixel_total : 22900 time to create 1 rle with old method : 0.03022480010986328 length of segment : 260 time for calcul the mask position with numpy : 0.05401301383972168 nb_pixel_total : 11075 time to create 1 rle with old method : 0.018355607986450195 length of segment : 121 time for calcul the mask position with numpy : 0.0649271011352539 nb_pixel_total : 34951 time to create 1 rle with old method : 0.04178023338317871 length of segment : 213 time for calcul the mask position with numpy : 0.03577613830566406 nb_pixel_total : 12310 time to create 1 rle with old method : 0.018481969833374023 length of segment : 145 time for calcul the mask position with numpy : 0.02027750015258789 nb_pixel_total : 6786 time to create 1 rle with old method : 0.013349294662475586 length of segment : 83 time for calcul the mask position with numpy : 0.07504081726074219 nb_pixel_total : 22111 time to create 1 rle with old method : 0.02998185157775879 length of segment : 194 time for calcul the mask position with numpy : 0.03119039535522461 nb_pixel_total : 11849 time to create 1 rle with old method : 0.01837778091430664 length of segment : 108 time for calcul the mask position with numpy : 0.2355201244354248 nb_pixel_total : 163468 time to create 1 rle with new method : 0.006749629974365234 length of segment : 536 time for calcul the mask position with numpy : 0.04823446273803711 nb_pixel_total : 13589 time to create 1 rle with old method : 0.02015829086303711 length of segment : 164 time for calcul the mask position with numpy : 0.1546778678894043 nb_pixel_total : 57120 time to create 1 rle with old method : 0.0628969669342041 length of segment : 492 time for calcul the mask position with numpy : 0.0764780044555664 nb_pixel_total : 28015 time to create 1 rle with old method : 0.04951643943786621 length of segment : 331 time for calcul the mask position with numpy : 0.11871004104614258 nb_pixel_total : 48299 time to create 1 rle with old method : 0.056200265884399414 length of segment : 437 time for calcul the mask position with numpy : 0.302170991897583 nb_pixel_total : 85860 time to create 1 rle with old method : 0.09533810615539551 length of segment : 309 time for calcul the mask position with numpy : 0.08876752853393555 nb_pixel_total : 44952 time to create 1 rle with old method : 0.051386356353759766 length of segment : 221 time for calcul the mask position with numpy : 0.020697832107543945 nb_pixel_total : 5916 time to create 1 rle with old method : 0.01064300537109375 length of segment : 105 time for calcul the mask position with numpy : 0.057628631591796875 nb_pixel_total : 16337 time to create 1 rle with old method : 0.022957324981689453 length of segment : 182 time for calcul the mask position with numpy : 0.09935379028320312 nb_pixel_total : 40344 time to create 1 rle with old method : 0.04937124252319336 length of segment : 274 time for calcul the mask position with numpy : 0.14741158485412598 nb_pixel_total : 61931 time to create 1 rle with old method : 0.07154369354248047 length of segment : 566 time for calcul the mask position with numpy : 0.08797121047973633 nb_pixel_total : 25484 time to create 1 rle with old method : 0.032201290130615234 length of segment : 234 time for calcul the mask position with numpy : 0.09934449195861816 nb_pixel_total : 51780 time to create 1 rle with old method : 0.06093573570251465 length of segment : 303 time for calcul the mask position with numpy : 0.024954795837402344 nb_pixel_total : 24554 time to create 1 rle with old method : 0.033593177795410156 length of segment : 161 time for calcul the mask position with numpy : 0.02562117576599121 nb_pixel_total : 39003 time to create 1 rle with old method : 0.04556727409362793 length of segment : 241 time for calcul the mask position with numpy : 0.05430030822753906 nb_pixel_total : 14755 time to create 1 rle with old method : 0.026996612548828125 length of segment : 236 time for calcul the mask position with numpy : 0.013458490371704102 nb_pixel_total : 5925 time to create 1 rle with old method : 0.011180877685546875 length of segment : 86 time for calcul the mask position with numpy : 0.07127070426940918 nb_pixel_total : 28991 time to create 1 rle with old method : 0.047127723693847656 length of segment : 266 time for calcul the mask position with numpy : 0.06844162940979004 nb_pixel_total : 34015 time to create 1 rle with old method : 0.04151034355163574 length of segment : 617 time for calcul the mask position with numpy : 0.05327439308166504 nb_pixel_total : 23872 time to create 1 rle with old method : 0.031427860260009766 length of segment : 241 time for calcul the mask position with numpy : 0.027757644653320312 nb_pixel_total : 15544 time to create 1 rle with old method : 0.024103403091430664 length of segment : 200 time for calcul the mask position with numpy : 0.06789135932922363 nb_pixel_total : 26677 time to create 1 rle with old method : 0.037224531173706055 length of segment : 176 time for calcul the mask position with numpy : 0.13791418075561523 nb_pixel_total : 56279 time to create 1 rle with old method : 0.06509923934936523 length of segment : 293 time for calcul the mask position with numpy : 0.006845235824584961 nb_pixel_total : 11869 time to create 1 rle with old method : 0.016741275787353516 length of segment : 193 time for calcul the mask position with numpy : 0.05011725425720215 nb_pixel_total : 4869 time to create 1 rle with old method : 0.0076525211334228516 length of segment : 151 time for calcul the mask position with numpy : 0.0809319019317627 nb_pixel_total : 58785 time to create 1 rle with old method : 0.06724333763122559 length of segment : 259 time for calcul the mask position with numpy : 0.010340213775634766 nb_pixel_total : 10351 time to create 1 rle with old method : 0.01610088348388672 length of segment : 72 time for calcul the mask position with numpy : 0.022649765014648438 nb_pixel_total : 15880 time to create 1 rle with old method : 0.022209882736206055 length of segment : 181 time for calcul the mask position with numpy : 0.013751983642578125 nb_pixel_total : 11814 time to create 1 rle with old method : 0.018956899642944336 length of segment : 117 time for calcul the mask position with numpy : 0.02630138397216797 nb_pixel_total : 21772 time to create 1 rle with old method : 0.026807785034179688 length of segment : 207 time for calcul the mask position with numpy : 0.01710796356201172 nb_pixel_total : 15004 time to create 1 rle with old method : 0.021553754806518555 length of segment : 136 time for calcul the mask position with numpy : 0.016298532485961914 nb_pixel_total : 14047 time to create 1 rle with old method : 0.019962549209594727 length of segment : 174 time for calcul the mask position with numpy : 0.028702735900878906 nb_pixel_total : 22369 time to create 1 rle with old method : 0.029989957809448242 length of segment : 249 time for calcul the mask position with numpy : 0.016355276107788086 nb_pixel_total : 16152 time to create 1 rle with old method : 0.022573471069335938 length of segment : 156 time for calcul the mask position with numpy : 0.027665138244628906 nb_pixel_total : 30300 time to create 1 rle with old method : 0.03931546211242676 length of segment : 164 time for calcul the mask position with numpy : 0.020946979522705078 nb_pixel_total : 7406 time to create 1 rle with old method : 0.011151790618896484 length of segment : 88 time for calcul the mask position with numpy : 0.05741572380065918 nb_pixel_total : 33632 time to create 1 rle with old method : 0.03820991516113281 length of segment : 200 time for calcul the mask position with numpy : 0.08890080451965332 nb_pixel_total : 31756 time to create 1 rle with old method : 0.03576302528381348 length of segment : 339 time for calcul the mask position with numpy : 0.0807647705078125 nb_pixel_total : 24560 time to create 1 rle with old method : 0.031119585037231445 length of segment : 213 time for calcul the mask position with numpy : 0.06583237648010254 nb_pixel_total : 23364 time to create 1 rle with old method : 0.030153274536132812 length of segment : 165 time for calcul the mask position with numpy : 0.1747879981994629 nb_pixel_total : 83182 time to create 1 rle with old method : 0.09256410598754883 length of segment : 307 time for calcul the mask position with numpy : 0.01938343048095703 nb_pixel_total : 11525 time to create 1 rle with old method : 0.018147945404052734 length of segment : 134 time for calcul the mask position with numpy : 0.08564090728759766 nb_pixel_total : 35678 time to create 1 rle with old method : 0.045105934143066406 length of segment : 204 time for calcul the mask position with numpy : 0.2673037052154541 nb_pixel_total : 146140 time to create 1 rle with old method : 0.16300106048583984 length of segment : 534 time for calcul the mask position with numpy : 0.08549714088439941 nb_pixel_total : 34382 time to create 1 rle with old method : 0.04179883003234863 length of segment : 312 time for calcul the mask position with numpy : 0.28811168670654297 nb_pixel_total : 122103 time to create 1 rle with old method : 0.13289737701416016 length of segment : 441 time for calcul the mask position with numpy : 0.02863025665283203 nb_pixel_total : 11364 time to create 1 rle with old method : 0.017100811004638672 length of segment : 102 time for calcul the mask position with numpy : 0.017497777938842773 nb_pixel_total : 2289 time to create 1 rle with old method : 0.00470280647277832 length of segment : 128 time for calcul the mask position with numpy : 0.02279353141784668 nb_pixel_total : 38422 time to create 1 rle with old method : 0.06453704833984375 length of segment : 230 time for calcul the mask position with numpy : 0.08866286277770996 nb_pixel_total : 42794 time to create 1 rle with old method : 0.04860234260559082 length of segment : 241 time for calcul the mask position with numpy : 0.253817081451416 nb_pixel_total : 82537 time to create 1 rle with old method : 0.09313154220581055 length of segment : 395 time for calcul the mask position with numpy : 0.0072557926177978516 nb_pixel_total : 5876 time to create 1 rle with old method : 0.008734703063964844 length of segment : 89 time for calcul the mask position with numpy : 0.0864109992980957 nb_pixel_total : 55700 time to create 1 rle with old method : 0.06614160537719727 length of segment : 319 time for calcul the mask position with numpy : 0.05335044860839844 nb_pixel_total : 13064 time to create 1 rle with old method : 0.0197751522064209 length of segment : 208 time for calcul the mask position with numpy : 0.025995731353759766 nb_pixel_total : 23883 time to create 1 rle with old method : 0.03243398666381836 length of segment : 158 time for calcul the mask position with numpy : 0.07487034797668457 nb_pixel_total : 47054 time to create 1 rle with old method : 0.05545210838317871 length of segment : 288 time for calcul the mask position with numpy : 0.05742669105529785 nb_pixel_total : 29661 time to create 1 rle with old method : 0.03873944282531738 length of segment : 189 time for calcul the mask position with numpy : 0.13960957527160645 nb_pixel_total : 60514 time to create 1 rle with old method : 0.06809210777282715 length of segment : 521 time for calcul the mask position with numpy : 0.01543116569519043 nb_pixel_total : 7882 time to create 1 rle with old method : 0.013110637664794922 length of segment : 115 time for calcul the mask position with numpy : 0.17659759521484375 nb_pixel_total : 77743 time to create 1 rle with old method : 0.09058690071105957 length of segment : 355 time for calcul the mask position with numpy : 0.05849266052246094 nb_pixel_total : 22372 time to create 1 rle with old method : 0.032068729400634766 length of segment : 239 time for calcul the mask position with numpy : 0.07953095436096191 nb_pixel_total : 31370 time to create 1 rle with old method : 0.03896021842956543 length of segment : 270 time for calcul the mask position with numpy : 0.08658981323242188 nb_pixel_total : 27152 time to create 1 rle with old method : 0.0367884635925293 length of segment : 535 time for calcul the mask position with numpy : 0.13417506217956543 nb_pixel_total : 36890 time to create 1 rle with old method : 0.05626344680786133 length of segment : 273 time for calcul the mask position with numpy : 0.23438191413879395 nb_pixel_total : 89601 time to create 1 rle with old method : 0.11296558380126953 length of segment : 431 time for calcul the mask position with numpy : 0.10570812225341797 nb_pixel_total : 28972 time to create 1 rle with old method : 0.0360875129699707 length of segment : 464 time for calcul the mask position with numpy : 0.0805351734161377 nb_pixel_total : 30675 time to create 1 rle with old method : 0.04223179817199707 length of segment : 313 time for calcul the mask position with numpy : 0.0536952018737793 nb_pixel_total : 33798 time to create 1 rle with old method : 0.041303157806396484 length of segment : 188 time for calcul the mask position with numpy : 0.0701901912689209 nb_pixel_total : 75779 time to create 1 rle with old method : 0.0877370834350586 length of segment : 346 time for calcul the mask position with numpy : 0.03269529342651367 nb_pixel_total : 11452 time to create 1 rle with old method : 0.018136262893676758 length of segment : 164 time for calcul the mask position with numpy : 0.059064626693725586 nb_pixel_total : 18492 time to create 1 rle with old method : 0.03701353073120117 length of segment : 203 time for calcul the mask position with numpy : 0.1046762466430664 nb_pixel_total : 29318 time to create 1 rle with old method : 0.03611445426940918 length of segment : 292 time for calcul the mask position with numpy : 0.024291515350341797 nb_pixel_total : 8307 time to create 1 rle with old method : 0.01242971420288086 length of segment : 104 time for calcul the mask position with numpy : 0.05671381950378418 nb_pixel_total : 18767 time to create 1 rle with old method : 0.02468109130859375 length of segment : 243 time for calcul the mask position with numpy : 0.04784083366394043 nb_pixel_total : 17693 time to create 1 rle with old method : 0.025120019912719727 length of segment : 191 time for calcul the mask position with numpy : 0.008922576904296875 nb_pixel_total : 8126 time to create 1 rle with old method : 0.013455390930175781 length of segment : 156 time for calcul the mask position with numpy : 0.018230676651000977 nb_pixel_total : 6168 time to create 1 rle with old method : 0.010769128799438477 length of segment : 120 time for calcul the mask position with numpy : 0.11509203910827637 nb_pixel_total : 51744 time to create 1 rle with old method : 0.0605776309967041 length of segment : 268 time for calcul the mask position with numpy : 0.030617237091064453 nb_pixel_total : 18603 time to create 1 rle with old method : 0.021242856979370117 length of segment : 223 time for calcul the mask position with numpy : 0.04630613327026367 nb_pixel_total : 11149 time to create 1 rle with old method : 0.016206979751586914 length of segment : 193 time for calcul the mask position with numpy : 0.03978919982910156 nb_pixel_total : 19186 time to create 1 rle with old method : 0.02727794647216797 length of segment : 306 time for calcul the mask position with numpy : 0.025649309158325195 nb_pixel_total : 10361 time to create 1 rle with old method : 0.017945051193237305 length of segment : 84 time for calcul the mask position with numpy : 0.048273324966430664 nb_pixel_total : 18974 time to create 1 rle with old method : 0.026797056198120117 length of segment : 204 time for calcul the mask position with numpy : 0.029999494552612305 nb_pixel_total : 12165 time to create 1 rle with old method : 0.02216935157775879 length of segment : 169 time for calcul the mask position with numpy : 0.03497600555419922 nb_pixel_total : 18412 time to create 1 rle with old method : 0.028985023498535156 length of segment : 163 time for calcul the mask position with numpy : 0.038991451263427734 nb_pixel_total : 16723 time to create 1 rle with old method : 0.02655482292175293 length of segment : 122 time for calcul the mask position with numpy : 0.038056135177612305 nb_pixel_total : 14109 time to create 1 rle with old method : 0.019856929779052734 length of segment : 107 time for calcul the mask position with numpy : 0.015131235122680664 nb_pixel_total : 8038 time to create 1 rle with old method : 0.013684272766113281 length of segment : 127 time for calcul the mask position with numpy : 0.060080528259277344 nb_pixel_total : 23174 time to create 1 rle with old method : 0.03072071075439453 length of segment : 167 time for calcul the mask position with numpy : 0.03176259994506836 nb_pixel_total : 53920 time to create 1 rle with old method : 0.06281113624572754 length of segment : 468 time for calcul the mask position with numpy : 0.03699851036071777 nb_pixel_total : 14555 time to create 1 rle with old method : 0.02256631851196289 length of segment : 161 time for calcul the mask position with numpy : 0.1121361255645752 nb_pixel_total : 54978 time to create 1 rle with old method : 0.06389451026916504 length of segment : 262 time for calcul the mask position with numpy : 0.2170264720916748 nb_pixel_total : 70632 time to create 1 rle with old method : 0.0810093879699707 length of segment : 373 time for calcul the mask position with numpy : 0.06955575942993164 nb_pixel_total : 23576 time to create 1 rle with old method : 0.03284096717834473 length of segment : 240 time for calcul the mask position with numpy : 0.094390869140625 nb_pixel_total : 34638 time to create 1 rle with old method : 0.03921842575073242 length of segment : 270 time for calcul the mask position with numpy : 0.21814656257629395 nb_pixel_total : 93386 time to create 1 rle with old method : 0.12867236137390137 length of segment : 469 time for calcul the mask position with numpy : 0.0799715518951416 nb_pixel_total : 26448 time to create 1 rle with old method : 0.04094195365905762 length of segment : 295 time for calcul the mask position with numpy : 0.07148122787475586 nb_pixel_total : 33469 time to create 1 rle with old method : 0.03859066963195801 length of segment : 201 time for calcul the mask position with numpy : 0.03484749794006348 nb_pixel_total : 12647 time to create 1 rle with old method : 0.01618027687072754 length of segment : 175 time for calcul the mask position with numpy : 0.049277544021606445 nb_pixel_total : 17685 time to create 1 rle with old method : 0.024628162384033203 length of segment : 188 time for calcul the mask position with numpy : 0.04896259307861328 nb_pixel_total : 21038 time to create 1 rle with old method : 0.028090476989746094 length of segment : 256 time for calcul the mask position with numpy : 0.09672808647155762 nb_pixel_total : 34767 time to create 1 rle with old method : 0.0413205623626709 length of segment : 268 time for calcul the mask position with numpy : 0.05234885215759277 nb_pixel_total : 11712 time to create 1 rle with old method : 0.01748180389404297 length of segment : 146 time for calcul the mask position with numpy : 0.06661486625671387 nb_pixel_total : 15409 time to create 1 rle with old method : 0.02288365364074707 length of segment : 194 time for calcul the mask position with numpy : 0.04854631423950195 nb_pixel_total : 18824 time to create 1 rle with old method : 0.025359153747558594 length of segment : 227 time for calcul the mask position with numpy : 0.051790714263916016 nb_pixel_total : 18797 time to create 1 rle with old method : 0.02607440948486328 length of segment : 167 time for calcul the mask position with numpy : 0.027110815048217773 nb_pixel_total : 11641 time to create 1 rle with old method : 0.019426584243774414 length of segment : 81 time for calcul the mask position with numpy : 0.028296709060668945 nb_pixel_total : 9145 time to create 1 rle with old method : 0.01559758186340332 length of segment : 110 time for calcul the mask position with numpy : 0.0424647331237793 nb_pixel_total : 13056 time to create 1 rle with old method : 0.0191190242767334 length of segment : 112 time for calcul the mask position with numpy : 0.08739185333251953 nb_pixel_total : 24496 time to create 1 rle with old method : 0.03221940994262695 length of segment : 392 time for calcul the mask position with numpy : 0.08624386787414551 nb_pixel_total : 8297 time to create 1 rle with old method : 0.011548757553100586 length of segment : 128 time for calcul the mask position with numpy : 0.040416717529296875 nb_pixel_total : 10972 time to create 1 rle with old method : 0.016896486282348633 length of segment : 92 time for calcul the mask position with numpy : 0.0669715404510498 nb_pixel_total : 38588 time to create 1 rle with old method : 0.05485939979553223 length of segment : 360 time for calcul the mask position with numpy : 0.06568384170532227 nb_pixel_total : 21844 time to create 1 rle with old method : 0.027568578720092773 length of segment : 259 time for calcul the mask position with numpy : 0.07875871658325195 nb_pixel_total : 23500 time to create 1 rle with old method : 0.031045198440551758 length of segment : 171 time for calcul the mask position with numpy : 0.06318068504333496 nb_pixel_total : 14059 time to create 1 rle with old method : 0.020143747329711914 length of segment : 207 time for calcul the mask position with numpy : 0.05490565299987793 nb_pixel_total : 22421 time to create 1 rle with old method : 0.027244091033935547 length of segment : 139 time for calcul the mask position with numpy : 0.16773152351379395 nb_pixel_total : 81105 time to create 1 rle with old method : 0.09561586380004883 length of segment : 339 time for calcul the mask position with numpy : 0.046837806701660156 nb_pixel_total : 26276 time to create 1 rle with old method : 0.0295865535736084 length of segment : 193 time for calcul the mask position with numpy : 0.030439376831054688 nb_pixel_total : 6436 time to create 1 rle with old method : 0.011259317398071289 length of segment : 118 time for calcul the mask position with numpy : 0.05697798728942871 nb_pixel_total : 17349 time to create 1 rle with old method : 0.021395444869995117 length of segment : 161 time for calcul the mask position with numpy : 0.04846525192260742 nb_pixel_total : 25823 time to create 1 rle with old method : 0.04266643524169922 length of segment : 243 time for calcul the mask position with numpy : 0.03546309471130371 nb_pixel_total : 8168 time to create 1 rle with old method : 0.01488947868347168 length of segment : 106 time for calcul the mask position with numpy : 0.13789057731628418 nb_pixel_total : 68509 time to create 1 rle with old method : 0.08439469337463379 length of segment : 268 time for calcul the mask position with numpy : 0.09691286087036133 nb_pixel_total : 31988 time to create 1 rle with old method : 0.03939533233642578 length of segment : 260 time for calcul the mask position with numpy : 0.06053280830383301 nb_pixel_total : 42588 time to create 1 rle with old method : 0.05191755294799805 length of segment : 214 time for calcul the mask position with numpy : 0.03023695945739746 nb_pixel_total : 8151 time to create 1 rle with old method : 0.01379704475402832 length of segment : 139 time for calcul the mask position with numpy : 0.0038139820098876953 nb_pixel_total : 15520 time to create 1 rle with old method : 0.040746450424194336 length of segment : 208 time for calcul the mask position with numpy : 0.010132074356079102 nb_pixel_total : 7646 time to create 1 rle with old method : 0.015615463256835938 length of segment : 108 time for calcul the mask position with numpy : 0.07030224800109863 nb_pixel_total : 18077 time to create 1 rle with old method : 0.10908389091491699 length of segment : 206 time for calcul the mask position with numpy : 0.10955929756164551 nb_pixel_total : 35626 time to create 1 rle with old method : 0.07340741157531738 length of segment : 321 time for calcul the mask position with numpy : 0.0076372623443603516 nb_pixel_total : 9278 time to create 1 rle with old method : 0.010836601257324219 length of segment : 84 time for calcul the mask position with numpy : 0.03993487358093262 nb_pixel_total : 5877 time to create 1 rle with old method : 0.009667634963989258 length of segment : 154 time for calcul the mask position with numpy : 0.06226968765258789 nb_pixel_total : 71893 time to create 1 rle with old method : 0.08116412162780762 length of segment : 553 time for calcul the mask position with numpy : 0.1032562255859375 nb_pixel_total : 35036 time to create 1 rle with old method : 0.06133866310119629 length of segment : 198 time for calcul the mask position with numpy : 0.11944437026977539 nb_pixel_total : 34398 time to create 1 rle with old method : 0.05849194526672363 length of segment : 272 time for calcul the mask position with numpy : 0.039060115814208984 nb_pixel_total : 12424 time to create 1 rle with old method : 0.01741766929626465 length of segment : 170 time for calcul the mask position with numpy : 0.09356117248535156 nb_pixel_total : 32473 time to create 1 rle with old method : 0.04140114784240723 length of segment : 289 time for calcul the mask position with numpy : 0.028226613998413086 nb_pixel_total : 8626 time to create 1 rle with old method : 0.011884927749633789 length of segment : 103 time for calcul the mask position with numpy : 0.09668517112731934 nb_pixel_total : 31958 time to create 1 rle with old method : 0.047770023345947266 length of segment : 304 time for calcul the mask position with numpy : 0.10622954368591309 nb_pixel_total : 33384 time to create 1 rle with old method : 0.04954075813293457 length of segment : 353 time for calcul the mask position with numpy : 0.28169703483581543 nb_pixel_total : 122363 time to create 1 rle with old method : 0.1363379955291748 length of segment : 380 time for calcul the mask position with numpy : 0.05205726623535156 nb_pixel_total : 16854 time to create 1 rle with old method : 0.027868032455444336 length of segment : 203 time for calcul the mask position with numpy : 0.04041767120361328 nb_pixel_total : 12197 time to create 1 rle with old method : 0.017225027084350586 length of segment : 155 time for calcul the mask position with numpy : 0.07084321975708008 nb_pixel_total : 27626 time to create 1 rle with old method : 0.03796052932739258 length of segment : 245 time for calcul the mask position with numpy : 0.05655312538146973 nb_pixel_total : 17604 time to create 1 rle with old method : 0.023537874221801758 length of segment : 191 time for calcul the mask position with numpy : 0.1810164451599121 nb_pixel_total : 84352 time to create 1 rle with old method : 0.09392929077148438 length of segment : 409 time for calcul the mask position with numpy : 0.033223628997802734 nb_pixel_total : 8676 time to create 1 rle with old method : 0.013733148574829102 length of segment : 194 time for calcul the mask position with numpy : 0.044632911682128906 nb_pixel_total : 26575 time to create 1 rle with old method : 0.03124403953552246 length of segment : 190 time for calcul the mask position with numpy : 0.2656693458557129 nb_pixel_total : 77289 time to create 1 rle with old method : 0.13089275360107422 length of segment : 497 time for calcul the mask position with numpy : 0.03966951370239258 nb_pixel_total : 19001 time to create 1 rle with old method : 0.023543119430541992 length of segment : 238 time for calcul the mask position with numpy : 0.0432581901550293 nb_pixel_total : 16159 time to create 1 rle with old method : 0.027073383331298828 length of segment : 116 time for calcul the mask position with numpy : 0.10177183151245117 nb_pixel_total : 30454 time to create 1 rle with old method : 0.03778529167175293 length of segment : 218 time for calcul the mask position with numpy : 0.028816938400268555 nb_pixel_total : 10663 time to create 1 rle with old method : 0.014688253402709961 length of segment : 91 time for calcul the mask position with numpy : 0.07920169830322266 nb_pixel_total : 25380 time to create 1 rle with old method : 0.03398847579956055 length of segment : 191 time for calcul the mask position with numpy : 0.10016345977783203 nb_pixel_total : 27082 time to create 1 rle with old method : 0.03423929214477539 length of segment : 293 time for calcul the mask position with numpy : 0.02231884002685547 nb_pixel_total : 9693 time to create 1 rle with old method : 0.01645064353942871 length of segment : 95 time for calcul the mask position with numpy : 0.04283785820007324 nb_pixel_total : 11710 time to create 1 rle with old method : 0.01569223403930664 length of segment : 184 time for calcul the mask position with numpy : 0.04924750328063965 nb_pixel_total : 12510 time to create 1 rle with old method : 0.020226001739501953 length of segment : 167 time for calcul the mask position with numpy : 0.05269503593444824 nb_pixel_total : 26371 time to create 1 rle with old method : 0.031392574310302734 length of segment : 194 time for calcul the mask position with numpy : 0.027288436889648438 nb_pixel_total : 9318 time to create 1 rle with old method : 0.017389535903930664 length of segment : 95 time for calcul the mask position with numpy : 0.054491281509399414 nb_pixel_total : 24950 time to create 1 rle with old method : 0.03644609451293945 length of segment : 154 time for calcul the mask position with numpy : 0.02135443687438965 nb_pixel_total : 7469 time to create 1 rle with old method : 0.011521577835083008 length of segment : 136 time for calcul the mask position with numpy : 0.16500544548034668 nb_pixel_total : 80017 time to create 1 rle with old method : 0.09152626991271973 length of segment : 292 time for calcul the mask position with numpy : 0.10665297508239746 nb_pixel_total : 58629 time to create 1 rle with old method : 0.08610010147094727 length of segment : 331 time for calcul the mask position with numpy : 0.047921180725097656 nb_pixel_total : 11812 time to create 1 rle with old method : 0.01697993278503418 length of segment : 103 time for calcul the mask position with numpy : 0.2395336627960205 nb_pixel_total : 81697 time to create 1 rle with old method : 0.09560632705688477 length of segment : 249 time for calcul the mask position with numpy : 0.013052940368652344 nb_pixel_total : 5028 time to create 1 rle with old method : 0.007817983627319336 length of segment : 66 time for calcul the mask position with numpy : 0.11319112777709961 nb_pixel_total : 10158 time to create 1 rle with old method : 0.03241896629333496 length of segment : 80 time for calcul the mask position with numpy : 0.1337289810180664 nb_pixel_total : 40725 time to create 1 rle with old method : 0.049962520599365234 length of segment : 356 time for calcul the mask position with numpy : 0.07916593551635742 nb_pixel_total : 26499 time to create 1 rle with old method : 0.03824567794799805 length of segment : 264 time for calcul the mask position with numpy : 0.00691986083984375 nb_pixel_total : 13571 time to create 1 rle with old method : 0.017835140228271484 length of segment : 189 time for calcul the mask position with numpy : 0.019873380661010742 nb_pixel_total : 17052 time to create 1 rle with old method : 0.023489713668823242 length of segment : 193 time for calcul the mask position with numpy : 0.0466921329498291 nb_pixel_total : 23533 time to create 1 rle with old method : 0.030823945999145508 length of segment : 183 time for calcul the mask position with numpy : 0.08260512351989746 nb_pixel_total : 22829 time to create 1 rle with old method : 0.027319669723510742 length of segment : 258 time for calcul the mask position with numpy : 0.054982900619506836 nb_pixel_total : 19094 time to create 1 rle with old method : 0.03201031684875488 length of segment : 171 time for calcul the mask position with numpy : 0.12534761428833008 nb_pixel_total : 46192 time to create 1 rle with old method : 0.059906721115112305 length of segment : 517 time for calcul the mask position with numpy : 0.08790826797485352 nb_pixel_total : 20024 time to create 1 rle with old method : 0.026948213577270508 length of segment : 396 time for calcul the mask position with numpy : 0.04944944381713867 nb_pixel_total : 14352 time to create 1 rle with old method : 0.018373727798461914 length of segment : 191 time for calcul the mask position with numpy : 0.25766420364379883 nb_pixel_total : 148067 time to create 1 rle with old method : 0.18503236770629883 length of segment : 483 time for calcul the mask position with numpy : 0.0007987022399902344 nb_pixel_total : 31378 time to create 1 rle with old method : 0.035249948501586914 length of segment : 253 time for calcul the mask position with numpy : 0.028863906860351562 nb_pixel_total : 8803 time to create 1 rle with old method : 0.01313638687133789 length of segment : 93 time for calcul the mask position with numpy : 0.03481459617614746 nb_pixel_total : 10589 time to create 1 rle with old method : 0.017371654510498047 length of segment : 119 time for calcul the mask position with numpy : 0.0060498714447021484 nb_pixel_total : 3511 time to create 1 rle with old method : 0.004292964935302734 length of segment : 77 time for calcul the mask position with numpy : 0.01399993896484375 nb_pixel_total : 5623 time to create 1 rle with old method : 0.01068735122680664 length of segment : 202 time for calcul the mask position with numpy : 0.004946231842041016 nb_pixel_total : 5223 time to create 1 rle with old method : 0.00716400146484375 length of segment : 89 time for calcul the mask position with numpy : 0.02614760398864746 nb_pixel_total : 29868 time to create 1 rle with old method : 0.041989803314208984 length of segment : 300 time for calcul the mask position with numpy : 0.03745722770690918 nb_pixel_total : 15128 time to create 1 rle with old method : 0.017216205596923828 length of segment : 277 time for calcul the mask position with numpy : 0.1926255226135254 nb_pixel_total : 18295 time to create 1 rle with old method : 0.04162096977233887 length of segment : 219 time for calcul the mask position with numpy : 0.25209903717041016 nb_pixel_total : 47478 time to create 1 rle with old method : 0.060770511627197266 length of segment : 326 time for calcul the mask position with numpy : 0.08516311645507812 nb_pixel_total : 21663 time to create 1 rle with old method : 0.029343605041503906 length of segment : 163 time for calcul the mask position with numpy : 0.08217859268188477 nb_pixel_total : 16542 time to create 1 rle with old method : 0.021886348724365234 length of segment : 276 time for calcul the mask position with numpy : 0.017902612686157227 nb_pixel_total : 6626 time to create 1 rle with old method : 0.009900331497192383 length of segment : 88 time for calcul the mask position with numpy : 0.554863452911377 nb_pixel_total : 48684 time to create 1 rle with old method : 0.057332754135131836 length of segment : 234 time for calcul the mask position with numpy : 0.12645864486694336 nb_pixel_total : 53744 time to create 1 rle with old method : 0.07444167137145996 length of segment : 411 time for calcul the mask position with numpy : 0.10230112075805664 nb_pixel_total : 33099 time to create 1 rle with old method : 0.0449063777923584 length of segment : 196 time for calcul the mask position with numpy : 0.046402931213378906 nb_pixel_total : 15849 time to create 1 rle with old method : 0.027865171432495117 length of segment : 228 time for calcul the mask position with numpy : 0.1521158218383789 nb_pixel_total : 16338 time to create 1 rle with old method : 0.026541471481323242 length of segment : 96 time for calcul the mask position with numpy : 0.09262609481811523 nb_pixel_total : 25582 time to create 1 rle with old method : 0.04168391227722168 length of segment : 179 time for calcul the mask position with numpy : 0.0049533843994140625 nb_pixel_total : 15391 time to create 1 rle with old method : 0.020325899124145508 length of segment : 253 time for calcul the mask position with numpy : 0.15336894989013672 nb_pixel_total : 33031 time to create 1 rle with old method : 0.04190325736999512 length of segment : 292 time for calcul the mask position with numpy : 0.0030236244201660156 nb_pixel_total : 4076 time to create 1 rle with old method : 0.004815340042114258 length of segment : 86 time for calcul the mask position with numpy : 0.06637048721313477 nb_pixel_total : 23388 time to create 1 rle with old method : 0.03223419189453125 length of segment : 170 time for calcul the mask position with numpy : 0.13907599449157715 nb_pixel_total : 42935 time to create 1 rle with old method : 0.04828381538391113 length of segment : 251 time for calcul the mask position with numpy : 0.09475088119506836 nb_pixel_total : 31379 time to create 1 rle with old method : 0.053368568420410156 length of segment : 331 time for calcul the mask position with numpy : 0.11083388328552246 nb_pixel_total : 35614 time to create 1 rle with old method : 0.04630303382873535 length of segment : 262 time for calcul the mask position with numpy : 0.0009267330169677734 nb_pixel_total : 12402 time to create 1 rle with old method : 0.014295101165771484 length of segment : 167 time for calcul the mask position with numpy : 0.03717041015625 nb_pixel_total : 8569 time to create 1 rle with old method : 0.014083623886108398 length of segment : 93 time for calcul the mask position with numpy : 0.06117367744445801 nb_pixel_total : 20806 time to create 1 rle with old method : 0.025100231170654297 length of segment : 140 time for calcul the mask position with numpy : 0.05941295623779297 nb_pixel_total : 22317 time to create 1 rle with old method : 0.030075788497924805 length of segment : 156 time for calcul the mask position with numpy : 0.041738271713256836 nb_pixel_total : 39768 time to create 1 rle with old method : 0.0480189323425293 length of segment : 279 time for calcul the mask position with numpy : 0.10532855987548828 nb_pixel_total : 65494 time to create 1 rle with old method : 0.0746617317199707 length of segment : 367 time for calcul the mask position with numpy : 0.07097196578979492 nb_pixel_total : 15541 time to create 1 rle with old method : 0.02060389518737793 length of segment : 282 time for calcul the mask position with numpy : 0.03724360466003418 nb_pixel_total : 14552 time to create 1 rle with old method : 0.020324230194091797 length of segment : 134 time for calcul the mask position with numpy : 0.023350954055786133 nb_pixel_total : 38285 time to create 1 rle with old method : 0.0457918643951416 length of segment : 471 time for calcul the mask position with numpy : 0.05781269073486328 nb_pixel_total : 34560 time to create 1 rle with old method : 0.0426182746887207 length of segment : 192 time for calcul the mask position with numpy : 0.057834625244140625 nb_pixel_total : 12180 time to create 1 rle with old method : 0.023775100708007812 length of segment : 205 time for calcul the mask position with numpy : 0.10318779945373535 nb_pixel_total : 39101 time to create 1 rle with old method : 0.05046868324279785 length of segment : 256 time for calcul the mask position with numpy : 0.10165596008300781 nb_pixel_total : 43679 time to create 1 rle with old method : 0.05243706703186035 length of segment : 542 time for calcul the mask position with numpy : 0.039217233657836914 nb_pixel_total : 16813 time to create 1 rle with old method : 0.023714780807495117 length of segment : 154 time for calcul the mask position with numpy : 0.04500913619995117 nb_pixel_total : 13955 time to create 1 rle with old method : 0.02146434783935547 length of segment : 143 time for calcul the mask position with numpy : 0.01988673210144043 nb_pixel_total : 3625 time to create 1 rle with old method : 0.006806373596191406 length of segment : 106 time for calcul the mask position with numpy : 0.01538991928100586 nb_pixel_total : 13871 time to create 1 rle with old method : 0.02242565155029297 length of segment : 220 time for calcul the mask position with numpy : 0.015516042709350586 nb_pixel_total : 9058 time to create 1 rle with old method : 0.015222311019897461 length of segment : 112 time for calcul the mask position with numpy : 0.1723041534423828 nb_pixel_total : 74201 time to create 1 rle with old method : 0.09526872634887695 length of segment : 479 time for calcul the mask position with numpy : 0.02854752540588379 nb_pixel_total : 1827 time to create 1 rle with old method : 0.003691434860229492 length of segment : 129 time for calcul the mask position with numpy : 0.0033502578735351562 nb_pixel_total : 15955 time to create 1 rle with old method : 0.0211336612701416 length of segment : 146 time for calcul the mask position with numpy : 0.0378422737121582 nb_pixel_total : 14725 time to create 1 rle with old method : 0.018971920013427734 length of segment : 197 time for calcul the mask position with numpy : 0.013380765914916992 nb_pixel_total : 13084 time to create 1 rle with old method : 0.015233039855957031 length of segment : 183 time for calcul the mask position with numpy : 0.01790452003479004 nb_pixel_total : 16310 time to create 1 rle with old method : 0.01874089241027832 length of segment : 154 time for calcul the mask position with numpy : 0.07744312286376953 nb_pixel_total : 42137 time to create 1 rle with old method : 0.0611269474029541 length of segment : 236 time for calcul the mask position with numpy : 0.03700447082519531 nb_pixel_total : 15635 time to create 1 rle with old method : 0.022690534591674805 length of segment : 163 time for calcul the mask position with numpy : 0.020673036575317383 nb_pixel_total : 10368 time to create 1 rle with old method : 0.016195297241210938 length of segment : 162 time for calcul the mask position with numpy : 0.07262086868286133 nb_pixel_total : 23021 time to create 1 rle with old method : 0.02970147132873535 length of segment : 238 time for calcul the mask position with numpy : 0.06194877624511719 nb_pixel_total : 36774 time to create 1 rle with old method : 0.042783260345458984 length of segment : 303 time for calcul the mask position with numpy : 0.06685376167297363 nb_pixel_total : 33810 time to create 1 rle with old method : 0.04180502891540527 length of segment : 281 time for calcul the mask position with numpy : 0.023384809494018555 nb_pixel_total : 15435 time to create 1 rle with old method : 0.022423744201660156 length of segment : 133 time for calcul the mask position with numpy : 0.04492378234863281 nb_pixel_total : 21528 time to create 1 rle with old method : 0.027776479721069336 length of segment : 264 time for calcul the mask position with numpy : 0.09459114074707031 nb_pixel_total : 36217 time to create 1 rle with old method : 0.04914116859436035 length of segment : 190 time for calcul the mask position with numpy : 0.014873981475830078 nb_pixel_total : 16489 time to create 1 rle with old method : 0.025565624237060547 length of segment : 146 time for calcul the mask position with numpy : 0.06274628639221191 nb_pixel_total : 13440 time to create 1 rle with old method : 0.015375137329101562 length of segment : 167 time for calcul the mask position with numpy : 0.08943367004394531 nb_pixel_total : 23934 time to create 1 rle with old method : 0.03154325485229492 length of segment : 150 time for calcul the mask position with numpy : 0.08615636825561523 nb_pixel_total : 42836 time to create 1 rle with old method : 0.08011531829833984 length of segment : 263 time for calcul the mask position with numpy : 0.05874514579772949 nb_pixel_total : 19040 time to create 1 rle with old method : 0.025598526000976562 length of segment : 165 time for calcul the mask position with numpy : 0.22375822067260742 nb_pixel_total : 70491 time to create 1 rle with old method : 0.10994625091552734 length of segment : 517 time for calcul the mask position with numpy : 0.07503890991210938 nb_pixel_total : 17039 time to create 1 rle with old method : 0.025314807891845703 length of segment : 283 time for calcul the mask position with numpy : 0.14598298072814941 nb_pixel_total : 56193 time to create 1 rle with old method : 0.06507134437561035 length of segment : 308 time for calcul the mask position with numpy : 0.05564379692077637 nb_pixel_total : 10455 time to create 1 rle with old method : 0.016223907470703125 length of segment : 264 time for calcul the mask position with numpy : 0.1067802906036377 nb_pixel_total : 22135 time to create 1 rle with old method : 0.02996230125427246 length of segment : 346 time for calcul the mask position with numpy : 0.029425382614135742 nb_pixel_total : 23409 time to create 1 rle with old method : 0.030192136764526367 length of segment : 214 time for calcul the mask position with numpy : 0.08619260787963867 nb_pixel_total : 43089 time to create 1 rle with old method : 0.05065131187438965 length of segment : 238 time for calcul the mask position with numpy : 0.1275014877319336 nb_pixel_total : 39177 time to create 1 rle with old method : 0.05810689926147461 length of segment : 363 time for calcul the mask position with numpy : 0.13878393173217773 nb_pixel_total : 51114 time to create 1 rle with old method : 0.06301617622375488 length of segment : 498 time for calcul the mask position with numpy : 0.2912287712097168 nb_pixel_total : 153195 time to create 1 rle with new method : 0.012660503387451172 length of segment : 737 time for calcul the mask position with numpy : 0.03165864944458008 nb_pixel_total : 27140 time to create 1 rle with old method : 0.034047603607177734 length of segment : 232 time for calcul the mask position with numpy : 0.11319994926452637 nb_pixel_total : 41343 time to create 1 rle with old method : 0.049948930740356445 length of segment : 426 time for calcul the mask position with numpy : 0.0007929801940917969 nb_pixel_total : 24866 time to create 1 rle with old method : 0.045684099197387695 length of segment : 199 time for calcul the mask position with numpy : 0.043726444244384766 nb_pixel_total : 12636 time to create 1 rle with old method : 0.017956972122192383 length of segment : 183 time for calcul the mask position with numpy : 0.0689692497253418 nb_pixel_total : 40717 time to create 1 rle with old method : 0.044527530670166016 length of segment : 423 time for calcul the mask position with numpy : 0.007251262664794922 nb_pixel_total : 3624 time to create 1 rle with old method : 0.004738569259643555 length of segment : 102 time for calcul the mask position with numpy : 0.08533811569213867 nb_pixel_total : 34198 time to create 1 rle with old method : 0.043184518814086914 length of segment : 202 time for calcul the mask position with numpy : 0.03210163116455078 nb_pixel_total : 16935 time to create 1 rle with old method : 0.023238420486450195 length of segment : 177 time for calcul the mask position with numpy : 0.0251157283782959 nb_pixel_total : 25440 time to create 1 rle with old method : 0.03545117378234863 length of segment : 153 time for calcul the mask position with numpy : 0.08231806755065918 nb_pixel_total : 52134 time to create 1 rle with old method : 0.0637826919555664 length of segment : 254 time for calcul the mask position with numpy : 0.023238658905029297 nb_pixel_total : 25999 time to create 1 rle with old method : 0.03162574768066406 length of segment : 235 time for calcul the mask position with numpy : 0.050299644470214844 nb_pixel_total : 31932 time to create 1 rle with old method : 0.04137730598449707 length of segment : 159 time for calcul the mask position with numpy : 0.1486806869506836 nb_pixel_total : 97551 time to create 1 rle with old method : 0.10890746116638184 length of segment : 455 time for calcul the mask position with numpy : 0.10018634796142578 nb_pixel_total : 122602 time to create 1 rle with old method : 0.155653715133667 length of segment : 290 time for calcul the mask position with numpy : 0.1508188247680664 nb_pixel_total : 74279 time to create 1 rle with old method : 0.09179902076721191 length of segment : 488 time for calcul the mask position with numpy : 0.08624935150146484 nb_pixel_total : 35940 time to create 1 rle with old method : 0.04566335678100586 length of segment : 236 time for calcul the mask position with numpy : 0.01920294761657715 nb_pixel_total : 16308 time to create 1 rle with old method : 0.022286415100097656 length of segment : 136 time for calcul the mask position with numpy : 0.05112266540527344 nb_pixel_total : 46700 time to create 1 rle with old method : 0.055326223373413086 length of segment : 237 time for calcul the mask position with numpy : 0.10676312446594238 nb_pixel_total : 39346 time to create 1 rle with old method : 0.04857444763183594 length of segment : 455 time for calcul the mask position with numpy : 0.061929941177368164 nb_pixel_total : 34058 time to create 1 rle with old method : 0.04089927673339844 length of segment : 234 time for calcul the mask position with numpy : 0.07060647010803223 nb_pixel_total : 35621 time to create 1 rle with old method : 0.0417177677154541 length of segment : 374 time for calcul the mask position with numpy : 0.03322935104370117 nb_pixel_total : 16718 time to create 1 rle with old method : 0.023370027542114258 length of segment : 215 time for calcul the mask position with numpy : 0.0001544952392578125 nb_pixel_total : 4584 time to create 1 rle with old method : 0.00573420524597168 length of segment : 71 time for calcul the mask position with numpy : 0.04170727729797363 nb_pixel_total : 14813 time to create 1 rle with old method : 0.0209808349609375 length of segment : 169 time for calcul the mask position with numpy : 0.10419178009033203 nb_pixel_total : 121999 time to create 1 rle with old method : 0.1354684829711914 length of segment : 407 time for calcul the mask position with numpy : 0.07310843467712402 nb_pixel_total : 17980 time to create 1 rle with old method : 0.02538609504699707 length of segment : 270 time for calcul the mask position with numpy : 0.0769798755645752 nb_pixel_total : 46024 time to create 1 rle with old method : 0.05322408676147461 length of segment : 222 time for calcul the mask position with numpy : 0.02850174903869629 nb_pixel_total : 18361 time to create 1 rle with old method : 0.022993087768554688 length of segment : 189 time for calcul the mask position with numpy : 0.013288497924804688 nb_pixel_total : 25793 time to create 1 rle with old method : 0.032007694244384766 length of segment : 202 time for calcul the mask position with numpy : 0.03348660469055176 nb_pixel_total : 13013 time to create 1 rle with old method : 0.02202153205871582 length of segment : 109 time for calcul the mask position with numpy : 0.020140647888183594 nb_pixel_total : 12973 time to create 1 rle with old method : 0.014925718307495117 length of segment : 131 time for calcul the mask position with numpy : 0.01955723762512207 nb_pixel_total : 16653 time to create 1 rle with old method : 0.01868748664855957 length of segment : 211 time for calcul the mask position with numpy : 0.04048442840576172 nb_pixel_total : 22851 time to create 1 rle with old method : 0.030076980590820312 length of segment : 226 time for calcul the mask position with numpy : 0.04762530326843262 nb_pixel_total : 26782 time to create 1 rle with old method : 0.03154802322387695 length of segment : 355 time for calcul the mask position with numpy : 0.11412644386291504 nb_pixel_total : 55821 time to create 1 rle with old method : 0.0755462646484375 length of segment : 702 time for calcul the mask position with numpy : 0.044092655181884766 nb_pixel_total : 21190 time to create 1 rle with old method : 0.02765941619873047 length of segment : 173 time for calcul the mask position with numpy : 0.07192754745483398 nb_pixel_total : 58280 time to create 1 rle with old method : 0.06500649452209473 length of segment : 272 time for calcul the mask position with numpy : 0.025791645050048828 nb_pixel_total : 22300 time to create 1 rle with old method : 0.024156570434570312 length of segment : 169 time for calcul the mask position with numpy : 0.07312154769897461 nb_pixel_total : 49869 time to create 1 rle with old method : 0.05388808250427246 length of segment : 306 time for calcul the mask position with numpy : 0.1725153923034668 nb_pixel_total : 77715 time to create 1 rle with old method : 0.09045696258544922 length of segment : 614 time for calcul the mask position with numpy : 0.045938730239868164 nb_pixel_total : 48627 time to create 1 rle with old method : 0.056015968322753906 length of segment : 226 time for calcul the mask position with numpy : 0.05142545700073242 nb_pixel_total : 34456 time to create 1 rle with old method : 0.04236173629760742 length of segment : 195 time for calcul the mask position with numpy : 0.0010061264038085938 nb_pixel_total : 5385 time to create 1 rle with old method : 0.00905609130859375 length of segment : 71 time for calcul the mask position with numpy : 0.0552060604095459 nb_pixel_total : 48826 time to create 1 rle with old method : 0.05289483070373535 length of segment : 607 time for calcul the mask position with numpy : 0.037813425064086914 nb_pixel_total : 19808 time to create 1 rle with old method : 0.02171802520751953 length of segment : 165 time for calcul the mask position with numpy : 0.038973093032836914 nb_pixel_total : 31680 time to create 1 rle with old method : 0.0384371280670166 length of segment : 279 time for calcul the mask position with numpy : 0.06232810020446777 nb_pixel_total : 46000 time to create 1 rle with old method : 0.04894423484802246 length of segment : 262 time for calcul the mask position with numpy : 0.009337186813354492 nb_pixel_total : 16921 time to create 1 rle with old method : 0.023755311965942383 length of segment : 146 time for calcul the mask position with numpy : 0.03596091270446777 nb_pixel_total : 37399 time to create 1 rle with old method : 0.04162096977233887 length of segment : 284 time for calcul the mask position with numpy : 0.029574155807495117 nb_pixel_total : 32187 time to create 1 rle with old method : 0.03945207595825195 length of segment : 213 time for calcul the mask position with numpy : 0.030538082122802734 nb_pixel_total : 48166 time to create 1 rle with old method : 0.05689287185668945 length of segment : 231 time for calcul the mask position with numpy : 0.06464028358459473 nb_pixel_total : 121152 time to create 1 rle with old method : 0.13353872299194336 length of segment : 453 time for calcul the mask position with numpy : 0.0019066333770751953 nb_pixel_total : 11557 time to create 1 rle with old method : 0.012920141220092773 length of segment : 283 time for calcul the mask position with numpy : 0.0003914833068847656 nb_pixel_total : 24851 time to create 1 rle with old method : 0.0270230770111084 length of segment : 190 time for calcul the mask position with numpy : 0.08990645408630371 nb_pixel_total : 40423 time to create 1 rle with old method : 0.049341440200805664 length of segment : 223 time for calcul the mask position with numpy : 0.0641326904296875 nb_pixel_total : 33615 time to create 1 rle with old method : 0.04080796241760254 length of segment : 226 time for calcul the mask position with numpy : 0.06668710708618164 nb_pixel_total : 31183 time to create 1 rle with old method : 0.049742698669433594 length of segment : 269 time for calcul the mask position with numpy : 0.06815147399902344 nb_pixel_total : 97479 time to create 1 rle with old method : 0.10806632041931152 length of segment : 412 time for calcul the mask position with numpy : 0.009890079498291016 nb_pixel_total : 40684 time to create 1 rle with old method : 0.04667305946350098 length of segment : 390 time for calcul the mask position with numpy : 0.01442861557006836 nb_pixel_total : 18839 time to create 1 rle with old method : 0.02581787109375 length of segment : 241 time for calcul the mask position with numpy : 0.03920578956604004 nb_pixel_total : 30347 time to create 1 rle with old method : 0.035968780517578125 length of segment : 199 time for calcul the mask position with numpy : 0.1599102020263672 nb_pixel_total : 13607 time to create 1 rle with old method : 0.021159648895263672 length of segment : 115 time for calcul the mask position with numpy : 0.00503849983215332 nb_pixel_total : 16537 time to create 1 rle with old method : 0.02336597442626953 length of segment : 146 time for calcul the mask position with numpy : 0.17326664924621582 nb_pixel_total : 14695 time to create 1 rle with old method : 0.02157759666442871 length of segment : 179 time for calcul the mask position with numpy : 0.020721435546875 nb_pixel_total : 49297 time to create 1 rle with old method : 0.05933022499084473 length of segment : 458 time for calcul the mask position with numpy : 0.0013015270233154297 nb_pixel_total : 13381 time to create 1 rle with old method : 0.019762277603149414 length of segment : 123 time for calcul the mask position with numpy : 0.01937389373779297 nb_pixel_total : 17598 time to create 1 rle with old method : 0.026780128479003906 length of segment : 194 time for calcul the mask position with numpy : 0.07948899269104004 nb_pixel_total : 10196 time to create 1 rle with old method : 0.017010927200317383 length of segment : 161 time for calcul the mask position with numpy : 0.04122281074523926 nb_pixel_total : 15362 time to create 1 rle with old method : 0.022832870483398438 length of segment : 213 time for calcul the mask position with numpy : 0.31501293182373047 nb_pixel_total : 34240 time to create 1 rle with old method : 0.04122757911682129 length of segment : 231 time for calcul the mask position with numpy : 0.15945935249328613 nb_pixel_total : 27767 time to create 1 rle with old method : 0.03500080108642578 length of segment : 155 time for calcul the mask position with numpy : 0.5274219512939453 nb_pixel_total : 35448 time to create 1 rle with old method : 0.0458681583404541 length of segment : 270 time for calcul the mask position with numpy : 0.2537050247192383 nb_pixel_total : 42870 time to create 1 rle with old method : 0.053420305252075195 length of segment : 224 time for calcul the mask position with numpy : 0.22367310523986816 nb_pixel_total : 16392 time to create 1 rle with old method : 0.024208545684814453 length of segment : 167 time for calcul the mask position with numpy : 0.6543300151824951 nb_pixel_total : 63965 time to create 1 rle with old method : 0.07204127311706543 length of segment : 530 time for calcul the mask position with numpy : 0.23537850379943848 nb_pixel_total : 51095 time to create 1 rle with old method : 0.06322526931762695 length of segment : 243 time for calcul the mask position with numpy : 0.12080812454223633 nb_pixel_total : 56985 time to create 1 rle with old method : 0.06761908531188965 length of segment : 546 time for calcul the mask position with numpy : 0.05380821228027344 nb_pixel_total : 10714 time to create 1 rle with old method : 0.017246484756469727 length of segment : 187 time for calcul the mask position with numpy : 0.011102437973022461 nb_pixel_total : 12885 time to create 1 rle with old method : 0.017986059188842773 length of segment : 190 time for calcul the mask position with numpy : 0.13816380500793457 nb_pixel_total : 26558 time to create 1 rle with old method : 0.03536391258239746 length of segment : 197 time for calcul the mask position with numpy : 1.0359578132629395 nb_pixel_total : 68719 time to create 1 rle with old method : 0.08038663864135742 length of segment : 669 time for calcul the mask position with numpy : 0.026916027069091797 nb_pixel_total : 31647 time to create 1 rle with old method : 0.03990793228149414 length of segment : 350 time for calcul the mask position with numpy : 0.32502126693725586 nb_pixel_total : 43403 time to create 1 rle with old method : 0.059604644775390625 length of segment : 222 time for calcul the mask position with numpy : 0.00017762184143066406 nb_pixel_total : 4716 time to create 1 rle with old method : 0.008087635040283203 length of segment : 76 time for calcul the mask position with numpy : 0.00047278404235839844 nb_pixel_total : 22094 time to create 1 rle with old method : 0.026203393936157227 length of segment : 186 time for calcul the mask position with numpy : 0.0004963874816894531 nb_pixel_total : 23322 time to create 1 rle with old method : 0.03133583068847656 length of segment : 216 time for calcul the mask position with numpy : 0.2322702407836914 nb_pixel_total : 34362 time to create 1 rle with old method : 0.04544353485107422 length of segment : 217 time for calcul the mask position with numpy : 0.3223152160644531 nb_pixel_total : 31513 time to create 1 rle with old method : 0.056603431701660156 length of segment : 367 time for calcul the mask position with numpy : 0.2639615535736084 nb_pixel_total : 50831 time to create 1 rle with old method : 0.06959366798400879 length of segment : 277 time for calcul the mask position with numpy : 0.2373666763305664 nb_pixel_total : 78424 time to create 1 rle with old method : 0.09182882308959961 length of segment : 493 time for calcul the mask position with numpy : 0.05124473571777344 nb_pixel_total : 28971 time to create 1 rle with old method : 0.03605532646179199 length of segment : 217 time for calcul the mask position with numpy : 0.06455588340759277 nb_pixel_total : 16960 time to create 1 rle with old method : 0.024457693099975586 length of segment : 146 time for calcul the mask position with numpy : 0.10580897331237793 nb_pixel_total : 31641 time to create 1 rle with old method : 0.036629676818847656 length of segment : 255 time for calcul the mask position with numpy : 0.0583498477935791 nb_pixel_total : 20738 time to create 1 rle with old method : 0.028690338134765625 length of segment : 173 time for calcul the mask position with numpy : 0.0438237190246582 nb_pixel_total : 18087 time to create 1 rle with old method : 0.026489734649658203 length of segment : 164 time for calcul the mask position with numpy : 0.28730344772338867 nb_pixel_total : 66122 time to create 1 rle with old method : 0.07881760597229004 length of segment : 464 time for calcul the mask position with numpy : 0.08965182304382324 nb_pixel_total : 10903 time to create 1 rle with old method : 0.015806913375854492 length of segment : 131 time for calcul the mask position with numpy : 0.07526350021362305 nb_pixel_total : 21790 time to create 1 rle with old method : 0.029041290283203125 length of segment : 166 time for calcul the mask position with numpy : 0.09209370613098145 nb_pixel_total : 18548 time to create 1 rle with old method : 0.026436328887939453 length of segment : 230 time for calcul the mask position with numpy : 0.11088037490844727 nb_pixel_total : 44019 time to create 1 rle with old method : 0.05466175079345703 length of segment : 216 time for calcul the mask position with numpy : 0.007440805435180664 nb_pixel_total : 4340 time to create 1 rle with old method : 0.009005308151245117 length of segment : 67 time for calcul the mask position with numpy : 0.05791831016540527 nb_pixel_total : 34440 time to create 1 rle with old method : 0.04495072364807129 length of segment : 245 time for calcul the mask position with numpy : 0.09567618370056152 nb_pixel_total : 17874 time to create 1 rle with old method : 0.02556443214416504 length of segment : 264 time for calcul the mask position with numpy : 0.08795547485351562 nb_pixel_total : 22432 time to create 1 rle with old method : 0.029792308807373047 length of segment : 176 time for calcul the mask position with numpy : 0.10289597511291504 nb_pixel_total : 23011 time to create 1 rle with old method : 0.02730274200439453 length of segment : 268 time for calcul the mask position with numpy : 0.013186454772949219 nb_pixel_total : 21371 time to create 1 rle with old method : 0.028514862060546875 length of segment : 213 time for calcul the mask position with numpy : 0.08842921257019043 nb_pixel_total : 25126 time to create 1 rle with old method : 0.03450155258178711 length of segment : 153 time for calcul the mask position with numpy : 0.20089197158813477 nb_pixel_total : 73052 time to create 1 rle with old method : 0.09515619277954102 length of segment : 463 time for calcul the mask position with numpy : 0.5231947898864746 nb_pixel_total : 57899 time to create 1 rle with old method : 0.08263945579528809 length of segment : 565 time for calcul the mask position with numpy : 0.24948334693908691 nb_pixel_total : 38021 time to create 1 rle with old method : 0.045793771743774414 length of segment : 208 time for calcul the mask position with numpy : 0.07445049285888672 nb_pixel_total : 26589 time to create 1 rle with old method : 0.03600311279296875 length of segment : 252 time for calcul the mask position with numpy : 0.19057917594909668 nb_pixel_total : 32689 time to create 1 rle with old method : 0.04015827178955078 length of segment : 265 time for calcul the mask position with numpy : 0.10935163497924805 nb_pixel_total : 17728 time to create 1 rle with old method : 0.026084423065185547 length of segment : 158 time for calcul the mask position with numpy : 0.23398947715759277 nb_pixel_total : 46841 time to create 1 rle with old method : 0.057085275650024414 length of segment : 242 time for calcul the mask position with numpy : 0.14238762855529785 nb_pixel_total : 23341 time to create 1 rle with old method : 0.03166794776916504 length of segment : 225 time for calcul the mask position with numpy : 0.1632845401763916 nb_pixel_total : 44893 time to create 1 rle with old method : 0.055670738220214844 length of segment : 240 time for calcul the mask position with numpy : 0.31046175956726074 nb_pixel_total : 35159 time to create 1 rle with old method : 0.04428696632385254 length of segment : 222 time for calcul the mask position with numpy : 0.2429194450378418 nb_pixel_total : 35018 time to create 1 rle with old method : 0.04255485534667969 length of segment : 186 time for calcul the mask position with numpy : 0.14418363571166992 nb_pixel_total : 16374 time to create 1 rle with old method : 0.021604299545288086 length of segment : 167 time for calcul the mask position with numpy : 0.8304109573364258 nb_pixel_total : 62563 time to create 1 rle with old method : 0.07236409187316895 length of segment : 460 time for calcul the mask position with numpy : 0.3930366039276123 nb_pixel_total : 24134 time to create 1 rle with old method : 0.037903547286987305 length of segment : 277 time for calcul the mask position with numpy : 0.20122194290161133 nb_pixel_total : 17661 time to create 1 rle with old method : 0.024197101593017578 length of segment : 167 time for calcul the mask position with numpy : 0.6126656532287598 nb_pixel_total : 30883 time to create 1 rle with old method : 0.04330945014953613 length of segment : 453 time for calcul the mask position with numpy : 0.4188992977142334 nb_pixel_total : 33665 time to create 1 rle with old method : 0.03751254081726074 length of segment : 189 time for calcul the mask position with numpy : 0.12845063209533691 nb_pixel_total : 20459 time to create 1 rle with old method : 0.05610346794128418 length of segment : 209 time for calcul the mask position with numpy : 0.18746662139892578 nb_pixel_total : 25206 time to create 1 rle with old method : 0.0348200798034668 length of segment : 150 time for calcul the mask position with numpy : 0.15751218795776367 nb_pixel_total : 19055 time to create 1 rle with old method : 0.024966955184936523 length of segment : 165 time for calcul the mask position with numpy : 0.3211781978607178 nb_pixel_total : 29842 time to create 1 rle with old method : 0.05118370056152344 length of segment : 344 time for calcul the mask position with numpy : 0.5300545692443848 nb_pixel_total : 127992 time to create 1 rle with old method : 0.14595937728881836 length of segment : 544 time for calcul the mask position with numpy : 0.07735180854797363 nb_pixel_total : 3441 time to create 1 rle with old method : 0.006491184234619141 length of segment : 67 time for calcul the mask position with numpy : 0.3765869140625 nb_pixel_total : 41099 time to create 1 rle with old method : 0.055544137954711914 length of segment : 617 time for calcul the mask position with numpy : 0.1052699089050293 nb_pixel_total : 30118 time to create 1 rle with old method : 0.03683924674987793 length of segment : 262 time for calcul the mask position with numpy : 0.22435712814331055 nb_pixel_total : 33280 time to create 1 rle with old method : 0.042116403579711914 length of segment : 231 time for calcul the mask position with numpy : 0.21561384201049805 nb_pixel_total : 17782 time to create 1 rle with old method : 0.02257227897644043 length of segment : 238 time for calcul the mask position with numpy : 0.22255301475524902 nb_pixel_total : 41830 time to create 1 rle with old method : 0.05380415916442871 length of segment : 261 time for calcul the mask position with numpy : 0.00016999244689941406 nb_pixel_total : 7189 time to create 1 rle with old method : 0.008595705032348633 length of segment : 75 time for calcul the mask position with numpy : 0.11193251609802246 nb_pixel_total : 9678 time to create 1 rle with old method : 0.015365362167358398 length of segment : 150 time for calcul the mask position with numpy : 0.264528751373291 nb_pixel_total : 44657 time to create 1 rle with old method : 0.07034778594970703 length of segment : 250 time for calcul the mask position with numpy : 0.043459177017211914 nb_pixel_total : 16760 time to create 1 rle with old method : 0.01803302764892578 length of segment : 140 time for calcul the mask position with numpy : 0.0140838623046875 nb_pixel_total : 17741 time to create 1 rle with old method : 0.01953411102294922 length of segment : 155 time for calcul the mask position with numpy : 0.08084416389465332 nb_pixel_total : 46311 time to create 1 rle with old method : 0.056450605392456055 length of segment : 466 time for calcul the mask position with numpy : 0.058020591735839844 nb_pixel_total : 11164 time to create 1 rle with old method : 0.018524169921875 length of segment : 103 time for calcul the mask position with numpy : 0.15836000442504883 nb_pixel_total : 41846 time to create 1 rle with old method : 0.06111025810241699 length of segment : 329 time for calcul the mask position with numpy : 0.0206146240234375 nb_pixel_total : 6162 time to create 1 rle with old method : 0.011822700500488281 length of segment : 110 time for calcul the mask position with numpy : 0.02384328842163086 nb_pixel_total : 12575 time to create 1 rle with old method : 0.020917654037475586 length of segment : 141 time for calcul the mask position with numpy : 0.05695652961730957 nb_pixel_total : 49814 time to create 1 rle with old method : 0.0804746150970459 length of segment : 233 time for calcul the mask position with numpy : 0.05315971374511719 nb_pixel_total : 33163 time to create 1 rle with old method : 0.05387759208679199 length of segment : 185 time for calcul the mask position with numpy : 0.15036249160766602 nb_pixel_total : 66652 time to create 1 rle with old method : 0.0980527400970459 length of segment : 459 time for calcul the mask position with numpy : 0.24202394485473633 nb_pixel_total : 88914 time to create 1 rle with old method : 0.09996175765991211 length of segment : 420 time for calcul the mask position with numpy : 0.010262012481689453 nb_pixel_total : 35799 time to create 1 rle with old method : 0.040808677673339844 length of segment : 456 time for calcul the mask position with numpy : 0.0557560920715332 nb_pixel_total : 42914 time to create 1 rle with old method : 0.05149698257446289 length of segment : 315 time for calcul the mask position with numpy : 0.011656761169433594 nb_pixel_total : 38956 time to create 1 rle with old method : 0.04673361778259277 length of segment : 382 time for calcul the mask position with numpy : 0.001112222671508789 nb_pixel_total : 7773 time to create 1 rle with old method : 0.008710861206054688 length of segment : 116 time for calcul the mask position with numpy : 0.020760536193847656 nb_pixel_total : 53812 time to create 1 rle with old method : 0.062349557876586914 length of segment : 328 time for calcul the mask position with numpy : 0.10440349578857422 nb_pixel_total : 43508 time to create 1 rle with old method : 0.04972410202026367 length of segment : 235 time for calcul the mask position with numpy : 0.012771368026733398 nb_pixel_total : 55359 time to create 1 rle with old method : 0.0651090145111084 length of segment : 396 time for calcul the mask position with numpy : 0.005455970764160156 nb_pixel_total : 18901 time to create 1 rle with old method : 0.022253751754760742 length of segment : 165 time for calcul the mask position with numpy : 0.0004000663757324219 nb_pixel_total : 14151 time to create 1 rle with old method : 0.016039609909057617 length of segment : 169 time for calcul the mask position with numpy : 0.07908439636230469 nb_pixel_total : 39306 time to create 1 rle with old method : 0.04365968704223633 length of segment : 222 time for calcul the mask position with numpy : 0.03609752655029297 nb_pixel_total : 11831 time to create 1 rle with old method : 0.017541170120239258 length of segment : 154 time for calcul the mask position with numpy : 0.0076825618743896484 nb_pixel_total : 19520 time to create 1 rle with old method : 0.026406526565551758 length of segment : 206 time for calcul the mask position with numpy : 0.008992671966552734 nb_pixel_total : 19413 time to create 1 rle with old method : 0.025968074798583984 length of segment : 635 time for calcul the mask position with numpy : 0.0069730281829833984 nb_pixel_total : 45624 time to create 1 rle with old method : 0.05959963798522949 length of segment : 270 time for calcul the mask position with numpy : 0.026711702346801758 nb_pixel_total : 11788 time to create 1 rle with old method : 0.01690506935119629 length of segment : 141 time for calcul the mask position with numpy : 0.010449409484863281 nb_pixel_total : 41861 time to create 1 rle with old method : 0.04664921760559082 length of segment : 267 time for calcul the mask position with numpy : 0.002933979034423828 nb_pixel_total : 19706 time to create 1 rle with old method : 0.02394580841064453 length of segment : 334 time for calcul the mask position with numpy : 0.0014405250549316406 nb_pixel_total : 9670 time to create 1 rle with old method : 0.011362075805664062 length of segment : 199 time for calcul the mask position with numpy : 0.0005593299865722656 nb_pixel_total : 19014 time to create 1 rle with old method : 0.021680116653442383 length of segment : 207 time for calcul the mask position with numpy : 0.11927199363708496 nb_pixel_total : 15827 time to create 1 rle with old method : 0.059346675872802734 length of segment : 166 time for calcul the mask position with numpy : 0.02062368392944336 nb_pixel_total : 50207 time to create 1 rle with old method : 0.09363603591918945 length of segment : 232 time for calcul the mask position with numpy : 0.28644895553588867 nb_pixel_total : 186138 time to create 1 rle with new method : 0.015885353088378906 length of segment : 617 time for calcul the mask position with numpy : 0.0011341571807861328 nb_pixel_total : 8199 time to create 1 rle with old method : 0.009718894958496094 length of segment : 121 time for calcul the mask position with numpy : 0.0028679370880126953 nb_pixel_total : 31926 time to create 1 rle with old method : 0.03629899024963379 length of segment : 226 time for calcul the mask position with numpy : 0.04170966148376465 nb_pixel_total : 81920 time to create 1 rle with old method : 0.09718060493469238 length of segment : 440 time for calcul the mask position with numpy : 0.021451711654663086 nb_pixel_total : 23215 time to create 1 rle with old method : 0.03743481636047363 length of segment : 234 time for calcul the mask position with numpy : 0.02537083625793457 nb_pixel_total : 28525 time to create 1 rle with old method : 0.03447151184082031 length of segment : 199 time for calcul the mask position with numpy : 0.00121307373046875 nb_pixel_total : 33535 time to create 1 rle with old method : 0.05484652519226074 length of segment : 226 time for calcul the mask position with numpy : 0.004549741744995117 nb_pixel_total : 16900 time to create 1 rle with old method : 0.018845796585083008 length of segment : 241 time for calcul the mask position with numpy : 0.0017321109771728516 nb_pixel_total : 8040 time to create 1 rle with old method : 0.013674497604370117 length of segment : 105 time for calcul the mask position with numpy : 0.004993438720703125 nb_pixel_total : 15477 time to create 1 rle with old method : 0.023789405822753906 length of segment : 148 time for calcul the mask position with numpy : 0.010748624801635742 nb_pixel_total : 18555 time to create 1 rle with old method : 0.021218061447143555 length of segment : 182 time for calcul the mask position with numpy : 0.0008933544158935547 nb_pixel_total : 14583 time to create 1 rle with old method : 0.016379356384277344 length of segment : 124 time for calcul the mask position with numpy : 0.026262521743774414 nb_pixel_total : 41271 time to create 1 rle with old method : 0.05027294158935547 length of segment : 331 time for calcul the mask position with numpy : 0.0010900497436523438 nb_pixel_total : 11642 time to create 1 rle with old method : 0.012966632843017578 length of segment : 111 time for calcul the mask position with numpy : 0.007152557373046875 nb_pixel_total : 66975 time to create 1 rle with old method : 0.08098840713500977 length of segment : 389 time for calcul the mask position with numpy : 0.02566242218017578 nb_pixel_total : 37629 time to create 1 rle with old method : 0.05937814712524414 length of segment : 211 time for calcul the mask position with numpy : 0.01762533187866211 nb_pixel_total : 28647 time to create 1 rle with old method : 0.042906999588012695 length of segment : 200 time for calcul the mask position with numpy : 0.03423786163330078 nb_pixel_total : 39212 time to create 1 rle with old method : 0.05112195014953613 length of segment : 156 time for calcul the mask position with numpy : 0.012709856033325195 nb_pixel_total : 16866 time to create 1 rle with old method : 0.024043798446655273 length of segment : 197 time for calcul the mask position with numpy : 0.05179452896118164 nb_pixel_total : 48748 time to create 1 rle with old method : 0.06780385971069336 length of segment : 325 time for calcul the mask position with numpy : 0.003646373748779297 nb_pixel_total : 25368 time to create 1 rle with old method : 0.028177738189697266 length of segment : 242 time for calcul the mask position with numpy : 0.00260162353515625 nb_pixel_total : 15185 time to create 1 rle with old method : 0.021948575973510742 length of segment : 137 time for calcul the mask position with numpy : 0.043633460998535156 nb_pixel_total : 77717 time to create 1 rle with old method : 0.0911710262298584 length of segment : 285 time for calcul the mask position with numpy : 0.00033473968505859375 nb_pixel_total : 6050 time to create 1 rle with old method : 0.00719761848449707 length of segment : 60 time for calcul the mask position with numpy : 0.03504824638366699 nb_pixel_total : 17477 time to create 1 rle with old method : 0.024898767471313477 length of segment : 140 time for calcul the mask position with numpy : 0.08817100524902344 nb_pixel_total : 74546 time to create 1 rle with old method : 0.08823204040527344 length of segment : 382 time for calcul the mask position with numpy : 0.023283958435058594 nb_pixel_total : 86038 time to create 1 rle with old method : 0.10054850578308105 length of segment : 337 time for calcul the mask position with numpy : 0.005567073822021484 nb_pixel_total : 18957 time to create 1 rle with old method : 0.02867412567138672 length of segment : 197 time for calcul the mask position with numpy : 0.03322792053222656 nb_pixel_total : 142383 time to create 1 rle with old method : 0.16468477249145508 length of segment : 437 time for calcul the mask position with numpy : 0.006804704666137695 nb_pixel_total : 24561 time to create 1 rle with old method : 0.029527902603149414 length of segment : 208 time for calcul the mask position with numpy : 0.003232240676879883 nb_pixel_total : 15423 time to create 1 rle with old method : 0.020288944244384766 length of segment : 217 time for calcul the mask position with numpy : 0.047263145446777344 nb_pixel_total : 165967 time to create 1 rle with new method : 0.017441749572753906 length of segment : 520 time for calcul the mask position with numpy : 0.0023636817932128906 nb_pixel_total : 10808 time to create 1 rle with old method : 0.012054204940795898 length of segment : 256 time for calcul the mask position with numpy : 0.0004935264587402344 nb_pixel_total : 14123 time to create 1 rle with old method : 0.01581716537475586 length of segment : 150 time for calcul the mask position with numpy : 0.01800227165222168 nb_pixel_total : 68900 time to create 1 rle with old method : 0.07871747016906738 length of segment : 308 time for calcul the mask position with numpy : 0.0027971267700195312 nb_pixel_total : 22256 time to create 1 rle with old method : 0.024939775466918945 length of segment : 228 time for calcul the mask position with numpy : 0.00909113883972168 nb_pixel_total : 76902 time to create 1 rle with old method : 0.08838248252868652 length of segment : 243 time for calcul the mask position with numpy : 0.0023910999298095703 nb_pixel_total : 18897 time to create 1 rle with old method : 0.021078824996948242 length of segment : 157 time for calcul the mask position with numpy : 0.0014414787292480469 nb_pixel_total : 14262 time to create 1 rle with old method : 0.01630687713623047 length of segment : 147 time for calcul the mask position with numpy : 0.005915641784667969 nb_pixel_total : 23465 time to create 1 rle with old method : 0.03738260269165039 length of segment : 211 time for calcul the mask position with numpy : 0.023845195770263672 nb_pixel_total : 31114 time to create 1 rle with old method : 0.041818857192993164 length of segment : 256 time for calcul the mask position with numpy : 0.0028824806213378906 nb_pixel_total : 15043 time to create 1 rle with old method : 0.017246484756469727 length of segment : 176 time for calcul the mask position with numpy : 0.002070903778076172 nb_pixel_total : 9419 time to create 1 rle with old method : 0.011020660400390625 length of segment : 83 time for calcul the mask position with numpy : 0.0023469924926757812 nb_pixel_total : 33015 time to create 1 rle with old method : 0.03704524040222168 length of segment : 237 time for calcul the mask position with numpy : 0.002408266067504883 nb_pixel_total : 22775 time to create 1 rle with old method : 0.025916337966918945 length of segment : 156 time for calcul the mask position with numpy : 0.005244255065917969 nb_pixel_total : 17647 time to create 1 rle with old method : 0.02241039276123047 length of segment : 152 time for calcul the mask position with numpy : 0.016130924224853516 nb_pixel_total : 45572 time to create 1 rle with old method : 0.05128955841064453 length of segment : 441 time for calcul the mask position with numpy : 0.12284994125366211 nb_pixel_total : 43953 time to create 1 rle with old method : 0.06739616394042969 length of segment : 241 time for calcul the mask position with numpy : 0.020429611206054688 nb_pixel_total : 47210 time to create 1 rle with old method : 0.05688762664794922 length of segment : 225 time for calcul the mask position with numpy : 0.005562782287597656 nb_pixel_total : 23472 time to create 1 rle with old method : 0.029985904693603516 length of segment : 232 time for calcul the mask position with numpy : 0.25521183013916016 nb_pixel_total : 112047 time to create 1 rle with old method : 0.13370704650878906 length of segment : 320 time for calcul the mask position with numpy : 0.019826173782348633 nb_pixel_total : 28230 time to create 1 rle with old method : 0.05022788047790527 length of segment : 238 time for calcul the mask position with numpy : 0.007088899612426758 nb_pixel_total : 26768 time to create 1 rle with old method : 0.0384676456451416 length of segment : 241 time for calcul the mask position with numpy : 0.02130603790283203 nb_pixel_total : 38637 time to create 1 rle with old method : 0.05206155776977539 length of segment : 368 time for calcul the mask position with numpy : 0.1048741340637207 nb_pixel_total : 70185 time to create 1 rle with old method : 0.08362030982971191 length of segment : 511 time for calcul the mask position with numpy : 0.005133867263793945 nb_pixel_total : 16156 time to create 1 rle with old method : 0.020682811737060547 length of segment : 138 time for calcul the mask position with numpy : 0.025767803192138672 nb_pixel_total : 108863 time to create 1 rle with old method : 0.1634690761566162 length of segment : 372 time for calcul the mask position with numpy : 0.012107372283935547 nb_pixel_total : 23816 time to create 1 rle with old method : 0.032865047454833984 length of segment : 294 time for calcul the mask position with numpy : 0.02856159210205078 nb_pixel_total : 26414 time to create 1 rle with old method : 0.03322958946228027 length of segment : 154 time for calcul the mask position with numpy : 0.042296648025512695 nb_pixel_total : 54894 time to create 1 rle with old method : 0.06387758255004883 length of segment : 255 time for calcul the mask position with numpy : 0.006737709045410156 nb_pixel_total : 31137 time to create 1 rle with old method : 0.04033303260803223 length of segment : 215 time for calcul the mask position with numpy : 0.07636833190917969 nb_pixel_total : 38076 time to create 1 rle with old method : 0.04772019386291504 length of segment : 233 time for calcul the mask position with numpy : 0.0424802303314209 nb_pixel_total : 31582 time to create 1 rle with old method : 0.0439910888671875 length of segment : 178 time for calcul the mask position with numpy : 0.008143901824951172 nb_pixel_total : 27462 time to create 1 rle with old method : 0.03340625762939453 length of segment : 214 time for calcul the mask position with numpy : 0.008420705795288086 nb_pixel_total : 20168 time to create 1 rle with old method : 0.025330781936645508 length of segment : 142 time for calcul the mask position with numpy : 0.0036673545837402344 nb_pixel_total : 18407 time to create 1 rle with old method : 0.023778200149536133 length of segment : 178 time for calcul the mask position with numpy : 0.04114508628845215 nb_pixel_total : 31517 time to create 1 rle with old method : 0.03623700141906738 length of segment : 179 time for calcul the mask position with numpy : 0.0050811767578125 nb_pixel_total : 20155 time to create 1 rle with old method : 0.025303125381469727 length of segment : 212 time for calcul the mask position with numpy : 0.0025665760040283203 nb_pixel_total : 20586 time to create 1 rle with old method : 0.023399829864501953 length of segment : 206 time for calcul the mask position with numpy : 0.021097421646118164 nb_pixel_total : 9716 time to create 1 rle with old method : 0.017663240432739258 length of segment : 131 time for calcul the mask position with numpy : 0.008349895477294922 nb_pixel_total : 3207 time to create 1 rle with old method : 0.005942583084106445 length of segment : 91 time for calcul the mask position with numpy : 0.11819267272949219 nb_pixel_total : 57510 time to create 1 rle with old method : 0.06739664077758789 length of segment : 709 time for calcul the mask position with numpy : 0.024960041046142578 nb_pixel_total : 27569 time to create 1 rle with old method : 0.03439784049987793 length of segment : 382 time for calcul the mask position with numpy : 0.0015377998352050781 nb_pixel_total : 2638 time to create 1 rle with old method : 0.0035750865936279297 length of segment : 89 time for calcul the mask position with numpy : 0.12569713592529297 nb_pixel_total : 24526 time to create 1 rle with old method : 0.03498530387878418 length of segment : 219 time for calcul the mask position with numpy : 0.056162357330322266 nb_pixel_total : 47200 time to create 1 rle with old method : 0.06213974952697754 length of segment : 256 time for calcul the mask position with numpy : 0.001569509506225586 nb_pixel_total : 9319 time to create 1 rle with old method : 0.010456562042236328 length of segment : 82 time for calcul the mask position with numpy : 0.003328084945678711 nb_pixel_total : 17503 time to create 1 rle with old method : 0.02216053009033203 length of segment : 184 time for calcul the mask position with numpy : 0.0023283958435058594 nb_pixel_total : 13477 time to create 1 rle with old method : 0.02200007438659668 length of segment : 130 time for calcul the mask position with numpy : 0.0031576156616210938 nb_pixel_total : 12088 time to create 1 rle with old method : 0.01614093780517578 length of segment : 140 time for calcul the mask position with numpy : 0.009073972702026367 nb_pixel_total : 13142 time to create 1 rle with old method : 0.015379905700683594 length of segment : 113 time for calcul the mask position with numpy : 0.010872125625610352 nb_pixel_total : 27705 time to create 1 rle with old method : 0.03640151023864746 length of segment : 328 time for calcul the mask position with numpy : 0.01969170570373535 nb_pixel_total : 67525 time to create 1 rle with old method : 0.07995128631591797 length of segment : 369 time for calcul the mask position with numpy : 0.002830028533935547 nb_pixel_total : 14567 time to create 1 rle with old method : 0.021581172943115234 length of segment : 127 time for calcul the mask position with numpy : 0.017220497131347656 nb_pixel_total : 10757 time to create 1 rle with old method : 0.0178830623626709 length of segment : 187 time for calcul the mask position with numpy : 0.002275705337524414 nb_pixel_total : 12709 time to create 1 rle with old method : 0.015778541564941406 length of segment : 118 time for calcul the mask position with numpy : 0.015084266662597656 nb_pixel_total : 13531 time to create 1 rle with old method : 0.021081209182739258 length of segment : 137 time for calcul the mask position with numpy : 0.005041599273681641 nb_pixel_total : 17221 time to create 1 rle with old method : 0.024185895919799805 length of segment : 192 time for calcul the mask position with numpy : 0.01265716552734375 nb_pixel_total : 11501 time to create 1 rle with old method : 0.019268274307250977 length of segment : 210 time for calcul the mask position with numpy : 0.016260147094726562 nb_pixel_total : 16294 time to create 1 rle with old method : 0.026805877685546875 length of segment : 135 time for calcul the mask position with numpy : 0.0241239070892334 nb_pixel_total : 69730 time to create 1 rle with old method : 0.08866310119628906 length of segment : 333 time for calcul the mask position with numpy : 0.13991498947143555 nb_pixel_total : 52143 time to create 1 rle with old method : 0.05896782875061035 length of segment : 340 time for calcul the mask position with numpy : 0.013214588165283203 nb_pixel_total : 14017 time to create 1 rle with old method : 0.022227048873901367 length of segment : 164 time for calcul the mask position with numpy : 0.16480326652526855 nb_pixel_total : 78151 time to create 1 rle with old method : 0.09241294860839844 length of segment : 493 time for calcul the mask position with numpy : 0.009351968765258789 nb_pixel_total : 7889 time to create 1 rle with old method : 0.01234579086303711 length of segment : 90 time for calcul the mask position with numpy : 0.018238544464111328 nb_pixel_total : 36052 time to create 1 rle with old method : 0.04659414291381836 length of segment : 233 time for calcul the mask position with numpy : 0.01077127456665039 nb_pixel_total : 15535 time to create 1 rle with old method : 0.03002023696899414 length of segment : 141 time for calcul the mask position with numpy : 0.005536317825317383 nb_pixel_total : 17184 time to create 1 rle with old method : 0.024300098419189453 length of segment : 380 time for calcul the mask position with numpy : 0.04263186454772949 nb_pixel_total : 11237 time to create 1 rle with old method : 0.023062944412231445 length of segment : 214 time for calcul the mask position with numpy : 0.01607370376586914 nb_pixel_total : 41333 time to create 1 rle with old method : 0.05369925498962402 length of segment : 206 time for calcul the mask position with numpy : 0.04220294952392578 nb_pixel_total : 39306 time to create 1 rle with old method : 0.04655194282531738 length of segment : 331 time for calcul the mask position with numpy : 0.07262468338012695 nb_pixel_total : 83810 time to create 1 rle with old method : 0.09495902061462402 length of segment : 280 time for calcul the mask position with numpy : 0.013422250747680664 nb_pixel_total : 10306 time to create 1 rle with old method : 0.015737056732177734 length of segment : 113 time for calcul the mask position with numpy : 0.004131317138671875 nb_pixel_total : 10196 time to create 1 rle with old method : 0.013368368148803711 length of segment : 116 time for calcul the mask position with numpy : 0.005379199981689453 nb_pixel_total : 10023 time to create 1 rle with old method : 0.013571500778198242 length of segment : 92 time for calcul the mask position with numpy : 0.018804550170898438 nb_pixel_total : 23146 time to create 1 rle with old method : 0.031322479248046875 length of segment : 162 time for calcul the mask position with numpy : 0.0071680545806884766 nb_pixel_total : 20566 time to create 1 rle with old method : 0.022420883178710938 length of segment : 162 time for calcul the mask position with numpy : 0.011783599853515625 nb_pixel_total : 19937 time to create 1 rle with old method : 0.026844024658203125 length of segment : 211 time for calcul the mask position with numpy : 0.026326417922973633 nb_pixel_total : 34775 time to create 1 rle with old method : 0.041727542877197266 length of segment : 281 time for calcul the mask position with numpy : 0.006844043731689453 nb_pixel_total : 19686 time to create 1 rle with old method : 0.02715325355529785 length of segment : 187 time for calcul the mask position with numpy : 0.017078399658203125 nb_pixel_total : 11961 time to create 1 rle with old method : 0.0177609920501709 length of segment : 155 time for calcul the mask position with numpy : 0.01799321174621582 nb_pixel_total : 38066 time to create 1 rle with old method : 0.047057390213012695 length of segment : 254 time for calcul the mask position with numpy : 0.013030767440795898 nb_pixel_total : 10583 time to create 1 rle with old method : 0.016734600067138672 length of segment : 151 time for calcul the mask position with numpy : 0.0505061149597168 nb_pixel_total : 26727 time to create 1 rle with old method : 0.03340935707092285 length of segment : 243 time for calcul the mask position with numpy : 0.017055988311767578 nb_pixel_total : 19319 time to create 1 rle with old method : 0.0250394344329834 length of segment : 169 time for calcul the mask position with numpy : 0.014051675796508789 nb_pixel_total : 25825 time to create 1 rle with old method : 0.047290802001953125 length of segment : 276 time for calcul the mask position with numpy : 0.0024220943450927734 nb_pixel_total : 4430 time to create 1 rle with old method : 0.004901885986328125 length of segment : 100 time for calcul the mask position with numpy : 0.052232980728149414 nb_pixel_total : 127225 time to create 1 rle with old method : 0.1566758155822754 length of segment : 521 time for calcul the mask position with numpy : 0.008677005767822266 nb_pixel_total : 9805 time to create 1 rle with old method : 0.013851642608642578 length of segment : 171 time for calcul the mask position with numpy : 0.002925395965576172 nb_pixel_total : 6860 time to create 1 rle with old method : 0.009366273880004883 length of segment : 129 time for calcul the mask position with numpy : 0.0006878376007080078 nb_pixel_total : 2800 time to create 1 rle with old method : 0.003498077392578125 length of segment : 36 time for calcul the mask position with numpy : 0.04951214790344238 nb_pixel_total : 35963 time to create 1 rle with old method : 0.04558587074279785 length of segment : 371 time for calcul the mask position with numpy : 0.019880056381225586 nb_pixel_total : 45532 time to create 1 rle with old method : 0.05448746681213379 length of segment : 401 time for calcul the mask position with numpy : 0.06629705429077148 nb_pixel_total : 44374 time to create 1 rle with old method : 0.05279660224914551 length of segment : 243 time for calcul the mask position with numpy : 0.16083192825317383 nb_pixel_total : 105754 time to create 1 rle with old method : 0.1254408359527588 length of segment : 272 time for calcul the mask position with numpy : 0.059851646423339844 nb_pixel_total : 56295 time to create 1 rle with old method : 0.06452822685241699 length of segment : 353 time for calcul the mask position with numpy : 0.002376556396484375 nb_pixel_total : 11795 time to create 1 rle with old method : 0.013485431671142578 length of segment : 148 time for calcul the mask position with numpy : 0.011617183685302734 nb_pixel_total : 36521 time to create 1 rle with old method : 0.04651379585266113 length of segment : 301 time for calcul the mask position with numpy : 0.004559755325317383 nb_pixel_total : 12343 time to create 1 rle with old method : 0.015185832977294922 length of segment : 113 time for calcul the mask position with numpy : 0.026906490325927734 nb_pixel_total : 169167 time to create 1 rle with new method : 0.009142875671386719 length of segment : 544 time for calcul the mask position with numpy : 0.005703926086425781 nb_pixel_total : 52597 time to create 1 rle with old method : 0.059807538986206055 length of segment : 178 time for calcul the mask position with numpy : 0.010112524032592773 nb_pixel_total : 44672 time to create 1 rle with old method : 0.06402063369750977 length of segment : 361 time for calcul the mask position with numpy : 0.005321025848388672 nb_pixel_total : 11134 time to create 1 rle with old method : 0.015394210815429688 length of segment : 197 time for calcul the mask position with numpy : 0.003984928131103516 nb_pixel_total : 42509 time to create 1 rle with old method : 0.05217552185058594 length of segment : 218 time for calcul the mask position with numpy : 0.006288290023803711 nb_pixel_total : 12698 time to create 1 rle with old method : 0.020723581314086914 length of segment : 156 time for calcul the mask position with numpy : 0.010363340377807617 nb_pixel_total : 44984 time to create 1 rle with old method : 0.05137324333190918 length of segment : 395 time for calcul the mask position with numpy : 0.006308555603027344 nb_pixel_total : 29672 time to create 1 rle with old method : 0.03522229194641113 length of segment : 216 time for calcul the mask position with numpy : 0.00868988037109375 nb_pixel_total : 13636 time to create 1 rle with old method : 0.020479202270507812 length of segment : 224 time for calcul the mask position with numpy : 0.017635345458984375 nb_pixel_total : 36183 time to create 1 rle with old method : 0.04828238487243652 length of segment : 375 time for calcul the mask position with numpy : 0.005698204040527344 nb_pixel_total : 30436 time to create 1 rle with old method : 0.03584790229797363 length of segment : 341 time for calcul the mask position with numpy : 0.006643533706665039 nb_pixel_total : 21821 time to create 1 rle with old method : 0.028870820999145508 length of segment : 139 time for calcul the mask position with numpy : 0.0006976127624511719 nb_pixel_total : 30978 time to create 1 rle with old method : 0.03387618064880371 length of segment : 297 time for calcul the mask position with numpy : 0.010239839553833008 nb_pixel_total : 72949 time to create 1 rle with old method : 0.08237409591674805 length of segment : 463 time for calcul the mask position with numpy : 0.008237600326538086 nb_pixel_total : 25583 time to create 1 rle with old method : 0.03330731391906738 length of segment : 180 time for calcul the mask position with numpy : 0.008471965789794922 nb_pixel_total : 31114 time to create 1 rle with old method : 0.03860044479370117 length of segment : 218 time for calcul the mask position with numpy : 0.0038156509399414062 nb_pixel_total : 5269 time to create 1 rle with old method : 0.006668806076049805 length of segment : 69 time for calcul the mask position with numpy : 0.008248567581176758 nb_pixel_total : 24266 time to create 1 rle with old method : 0.030044078826904297 length of segment : 330 time for calcul the mask position with numpy : 0.0049495697021484375 nb_pixel_total : 13277 time to create 1 rle with old method : 0.01720595359802246 length of segment : 168 time for calcul the mask position with numpy : 0.005911827087402344 nb_pixel_total : 13204 time to create 1 rle with old method : 0.017743349075317383 length of segment : 224 time for calcul the mask position with numpy : 0.003615856170654297 nb_pixel_total : 14147 time to create 1 rle with old method : 0.01710224151611328 length of segment : 257 time for calcul the mask position with numpy : 0.005574703216552734 nb_pixel_total : 19785 time to create 1 rle with old method : 0.02459573745727539 length of segment : 211 time for calcul the mask position with numpy : 0.00589442253112793 nb_pixel_total : 13123 time to create 1 rle with old method : 0.01641988754272461 length of segment : 102 time for calcul the mask position with numpy : 0.005244731903076172 nb_pixel_total : 12103 time to create 1 rle with old method : 0.015237569808959961 length of segment : 134 time for calcul the mask position with numpy : 0.002794504165649414 nb_pixel_total : 15207 time to create 1 rle with old method : 0.0166928768157959 length of segment : 146 time for calcul the mask position with numpy : 0.01303863525390625 nb_pixel_total : 35098 time to create 1 rle with old method : 0.04359626770019531 length of segment : 224 time for calcul the mask position with numpy : 0.005432605743408203 nb_pixel_total : 21223 time to create 1 rle with old method : 0.025503158569335938 length of segment : 165 time for calcul the mask position with numpy : 0.007122993469238281 nb_pixel_total : 15105 time to create 1 rle with old method : 0.021941423416137695 length of segment : 163 time for calcul the mask position with numpy : 0.010529518127441406 nb_pixel_total : 62500 time to create 1 rle with old method : 0.07206988334655762 length of segment : 366 time for calcul the mask position with numpy : 0.002282381057739258 nb_pixel_total : 4409 time to create 1 rle with old method : 0.005032539367675781 length of segment : 95 time for calcul the mask position with numpy : 0.004122257232666016 nb_pixel_total : 6487 time to create 1 rle with old method : 0.010825634002685547 length of segment : 91 time for calcul the mask position with numpy : 0.0019161701202392578 nb_pixel_total : 6720 time to create 1 rle with old method : 0.01131296157836914 length of segment : 137 time for calcul the mask position with numpy : 0.019089460372924805 nb_pixel_total : 91126 time to create 1 rle with old method : 0.09878778457641602 length of segment : 547 time for calcul the mask position with numpy : 0.0012264251708984375 nb_pixel_total : 7329 time to create 1 rle with old method : 0.00831913948059082 length of segment : 81 time for calcul the mask position with numpy : 0.0034780502319335938 nb_pixel_total : 51061 time to create 1 rle with old method : 0.054706573486328125 length of segment : 267 time for calcul the mask position with numpy : 0.010855674743652344 nb_pixel_total : 49690 time to create 1 rle with old method : 0.05873298645019531 length of segment : 355 time for calcul the mask position with numpy : 0.023754596710205078 nb_pixel_total : 10523 time to create 1 rle with old method : 0.016340017318725586 length of segment : 119 time for calcul the mask position with numpy : 0.05990719795227051 nb_pixel_total : 74751 time to create 1 rle with old method : 0.08963131904602051 length of segment : 256 time for calcul the mask position with numpy : 0.5184955596923828 nb_pixel_total : 61013 time to create 1 rle with old method : 0.07214021682739258 length of segment : 363 time for calcul the mask position with numpy : 1.1683833599090576 nb_pixel_total : 154923 time to create 1 rle with new method : 0.01622939109802246 length of segment : 894 time for calcul the mask position with numpy : 0.38291382789611816 nb_pixel_total : 149391 time to create 1 rle with old method : 0.16131281852722168 length of segment : 409 time for calcul the mask position with numpy : 0.02847433090209961 nb_pixel_total : 10718 time to create 1 rle with old method : 0.017933368682861328 length of segment : 128 time for calcul the mask position with numpy : 0.013650655746459961 nb_pixel_total : 21638 time to create 1 rle with old method : 0.027767181396484375 length of segment : 131 time for calcul the mask position with numpy : 0.16643452644348145 nb_pixel_total : 54110 time to create 1 rle with old method : 0.07584452629089355 length of segment : 263 time for calcul the mask position with numpy : 0.1808016300201416 nb_pixel_total : 32845 time to create 1 rle with old method : 0.03940916061401367 length of segment : 350 time for calcul the mask position with numpy : 0.059842824935913086 nb_pixel_total : 10226 time to create 1 rle with old method : 0.016387462615966797 length of segment : 82 time for calcul the mask position with numpy : 0.054971933364868164 nb_pixel_total : 43418 time to create 1 rle with old method : 0.05275106430053711 length of segment : 316 time for calcul the mask position with numpy : 0.40944528579711914 nb_pixel_total : 386169 time to create 1 rle with new method : 0.015179872512817383 length of segment : 865 time for calcul the mask position with numpy : 0.2229146957397461 nb_pixel_total : 38478 time to create 1 rle with old method : 0.04685163497924805 length of segment : 211 time for calcul the mask position with numpy : 0.15260839462280273 nb_pixel_total : 34854 time to create 1 rle with old method : 0.0418701171875 length of segment : 206 time for calcul the mask position with numpy : 0.05517125129699707 nb_pixel_total : 19661 time to create 1 rle with old method : 0.026273727416992188 length of segment : 169 time for calcul the mask position with numpy : 0.03350663185119629 nb_pixel_total : 8950 time to create 1 rle with old method : 0.014696836471557617 length of segment : 130 time for calcul the mask position with numpy : 0.12947630882263184 nb_pixel_total : 113350 time to create 1 rle with old method : 0.12219691276550293 length of segment : 514 time for calcul the mask position with numpy : 0.04037165641784668 nb_pixel_total : 8620 time to create 1 rle with old method : 0.013573408126831055 length of segment : 101 time for calcul the mask position with numpy : 0.6484575271606445 nb_pixel_total : 153364 time to create 1 rle with new method : 0.00937342643737793 length of segment : 619 time for calcul the mask position with numpy : 0.08670258522033691 nb_pixel_total : 9744 time to create 1 rle with old method : 0.014812707901000977 length of segment : 144 time for calcul the mask position with numpy : 0.016439199447631836 nb_pixel_total : 24445 time to create 1 rle with old method : 0.04513907432556152 length of segment : 138 time for calcul the mask position with numpy : 0.0084381103515625 nb_pixel_total : 6791 time to create 1 rle with old method : 0.011425256729125977 length of segment : 93 time for calcul the mask position with numpy : 0.12389564514160156 nb_pixel_total : 143328 time to create 1 rle with old method : 0.15923857688903809 length of segment : 416 time for calcul the mask position with numpy : 0.13862347602844238 nb_pixel_total : 109486 time to create 1 rle with old method : 0.13669347763061523 length of segment : 458 time for calcul the mask position with numpy : 0.1194314956665039 nb_pixel_total : 23539 time to create 1 rle with old method : 0.030417919158935547 length of segment : 264 time for calcul the mask position with numpy : 0.030694007873535156 nb_pixel_total : 61488 time to create 1 rle with old method : 0.0742955207824707 length of segment : 250 time for calcul the mask position with numpy : 0.004661083221435547 nb_pixel_total : 142726 time to create 1 rle with old method : 0.15421795845031738 length of segment : 417 time for calcul the mask position with numpy : 0.06393074989318848 nb_pixel_total : 48149 time to create 1 rle with old method : 0.0574643611907959 length of segment : 436 time for calcul the mask position with numpy : 0.004714250564575195 nb_pixel_total : 14836 time to create 1 rle with old method : 0.01665520668029785 length of segment : 99 time for calcul the mask position with numpy : 0.0632944107055664 nb_pixel_total : 26047 time to create 1 rle with old method : 0.0330965518951416 length of segment : 196 time for calcul the mask position with numpy : 0.23924040794372559 nb_pixel_total : 238223 time to create 1 rle with new method : 0.010899782180786133 length of segment : 604 time for calcul the mask position with numpy : 0.03786730766296387 nb_pixel_total : 39782 time to create 1 rle with old method : 0.04992532730102539 length of segment : 244 time for calcul the mask position with numpy : 0.10101127624511719 nb_pixel_total : 29206 time to create 1 rle with old method : 0.03838920593261719 length of segment : 166 time for calcul the mask position with numpy : 0.07113242149353027 nb_pixel_total : 50794 time to create 1 rle with old method : 0.061141014099121094 length of segment : 481 time for calcul the mask position with numpy : 0.15537810325622559 nb_pixel_total : 261802 time to create 1 rle with new method : 0.009652853012084961 length of segment : 569 time spent for convertir_results : 158.22645163536072 Inside saveOutput : final : False verbose : 0 eke 12-6-18 : saveMask need to be cleaned for new output ! Number saved : None batch 1 Loaded 1508 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 252982 save missing photos in datou_result : time spend for datou_step_exec : 593.3157799243927 time spend to save output : 16.072051286697388 total time spend for step 1 : 609.3878312110901 step2:crop_condition Tue Apr 15 21:40:45 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 : 38 ! batch 1 Loaded 1508 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 ! 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 ! 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 ! 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 ! 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 : 1043 About to insert : list_path_to_insert length 1043 new photo from crops ! About to upload 1043 photos upload in portfolio : 3736932 init cache_photo without model_param we have 1043 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744746173_1294677 we have uploaded 1043 photos in the portfolio 3736932 time of upload the photos Elapsed time : 277.17027497291565 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 ! 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 ! map_result returned by crop_photo_return_map_crop : length : 242 About to insert : list_path_to_insert length 242 new photo from crops ! About to upload 242 photos upload in portfolio : 3736932 init cache_photo without model_param we have 242 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744746485_1294677 we have uploaded 242 photos in the portfolio 3736932 time of upload the photos Elapsed time : 56.37451982498169 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 ! 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 : 5 About to insert : list_path_to_insert length 5 new photo from crops ! About to upload 5 photos upload in portfolio : 3736932 init cache_photo without model_param we have 5 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744746548_1294677 we have uploaded 5 photos in the portfolio 3736932 time of upload the photos Elapsed time : 1.4486446380615234 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 ! 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 ! map_result returned by crop_photo_return_map_crop : length : 137 About to insert : list_path_to_insert length 137 new photo from crops ! About to upload 137 photos upload in portfolio : 3736932 init cache_photo without model_param we have 137 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744746587_1294677 we have uploaded 137 photos in the portfolio 3736932 time of upload the photos Elapsed time : 35.70208954811096 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 ! 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 ! map_result returned by crop_photo_return_map_crop : length : 15 About to insert : list_path_to_insert length 15 new photo from crops ! About to upload 15 photos upload in portfolio : 3736932 init cache_photo without model_param we have 15 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744746629_1294677 we have uploaded 15 photos in the portfolio 3736932 time of upload the photos Elapsed time : 4.024443626403809 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 : 3 About to insert : list_path_to_insert length 3 new photo from crops ! About to upload 3 photos upload in portfolio : 3736932 init cache_photo without model_param we have 3 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744746638_1294677 we have uploaded 3 photos in the portfolio 3736932 time of upload the photos Elapsed time : 1.1140289306640625 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 ! 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 : 16 About to insert : list_path_to_insert length 16 new photo from crops ! About to upload 16 photos upload in portfolio : 3736932 init cache_photo without model_param we have 16 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1744746646_1294677 we have uploaded 16 photos in the portfolio 3736932 time of upload the photos Elapsed time : 3.880120038986206 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 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 [1349966732, 1349966660, 1349966354, 1349961943, 1349961891, 1349961839, 1349961800, 1349961767, 1349961734, 1349961640, 1349961635, 1349961631, 1349961616, 1349961516, 1349961428, 1349961376, 1349937321, 1349937155, 1349937147, 1349937135, 1349937081, 1349936992, 1349936918, 1349936837, 1349936733, 1349936730, 1349936639, 1349936585, 1349936572, 1349936545, 1349935734, 1349935703, 1349926878, 1349926869, 1349926855, 1349926843, 1349926834, 1349926735] Looping around the photos to save general results len do output : 1461 /1350017094Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017095Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017096Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017097Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017098Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017099Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017100Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017101Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017102Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017103Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017104Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017105Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017106Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017107Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017108Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017109Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017110Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017111Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017112Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017113Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017114Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017115Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017116Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017117Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017119Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017120Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017121Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017123Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017124Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017125Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017126Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017127Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017128Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017129Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017130Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017131Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017132Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017133Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017134Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017135Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017136Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017138Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017139Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017140Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017141Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017142Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017143Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017144Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017145Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017146Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017147Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017148Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017149Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017150Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017151Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017152Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017153Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017154Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017155Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017156Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017157Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017158Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017159Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017160Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017162Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017163Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017164Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017165Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017166Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017167Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017168Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017169Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017170Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017171Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017172Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017173Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017174Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017175Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017176Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017177Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017178Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017179Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017180Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017181Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017182Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017183Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017184Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017185Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017186Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017187Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017188Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017189Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017192Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017193Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017194Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017195Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017196Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017197Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017198Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017199Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017200Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017201Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017202Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017203Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017204Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017205Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017206Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017207Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017208Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017209Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017210Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017211Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017212Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017213Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017214Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017215Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017216Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017217Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017219Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017220Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017222Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017223Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017224Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017225Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017226Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017227Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017228Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017229Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017230Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017231Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017232Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017233Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017234Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017235Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017236Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017238Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017239Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017240Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017241Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017242Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017243Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017244Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017245Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017246Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017247Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017248Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017249Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017250Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017251Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017252Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017253Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017254Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017255Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017256Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017257Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017258Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017259Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017260Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017262Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017263Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017264Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017265Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017266Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017267Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017268Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017269Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017270Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017271Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017272Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017273Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017274Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017275Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017276Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017277Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017278Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017279Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017280Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017281Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017282Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017283Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017284Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017285Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017286Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017288Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017289Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017290Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017291Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017292Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017293Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017294Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017295Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017296Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017297Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017298Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017299Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017300Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017301Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017302Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017303Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017304Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017305Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017306Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017307Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017309Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017310Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017311Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017312Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017313Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017314Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017315Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017316Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017317Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017318Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017319Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017320Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017321Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017322Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017323Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017324Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017325Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017326Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017327Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017328Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017329Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017330Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017331Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017332Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017333Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017334Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017335Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017337Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017338Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017339Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017340Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017341Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017342Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017343Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017344Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017345Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017346Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017347Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017348Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017349Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017351Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017352Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017353Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017354Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017355Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017356Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017357Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017358Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017359Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017360Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017361Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017362Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017363Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017364Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017365Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017366Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017367Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017368Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017369Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017370Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017371Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017372Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017373Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017374Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017375Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017376Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017377Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017378Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017379Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017380Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017381Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017383Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017384Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017385Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017386Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017387Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017388Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017389Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017390Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017391Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017392Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017393Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017394Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017395Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017396Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017397Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017398Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017399Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017400Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017402Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017403Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017404Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017405Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017406Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017407Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017408Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017409Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017410Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017411Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017412Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017413Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017414Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017415Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017416Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017417Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017418Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017419Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017420Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017421Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017422Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017424Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017425Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017426Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017427Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017428Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017429Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017430Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017431Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017432Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017434Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017435Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017436Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017437Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017438Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017439Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017440Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017441Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017442Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017443Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017444Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017445Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017446Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017447Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017448Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017449Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017450Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017451Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017452Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017453Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017454Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017456Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017457Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017458Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017459Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017461Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017462Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017463Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017464Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017465Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017466Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017467Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017469Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017470Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017471Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017472Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017473Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017474Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017475Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017476Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017477Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017478Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017480Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017481Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017482Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017483Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017484Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017485Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017486Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017487Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017488Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017489Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017490Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017491Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017492Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017493Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017494Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017495Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017496Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017497Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017498Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017499Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017500Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017501Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017502Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017503Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017504Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017505Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017506Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017507Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017508Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017509Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017510Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017511Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017512Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017513Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017514Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017515Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017516Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017517Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017518Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017519Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017520Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017521Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017522Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017523Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017524Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017525Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017526Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017527Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017528Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017529Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017530Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017531Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017532Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017533Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017534Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017535Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017536Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017537Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017538Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017539Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017540Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017541Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017542Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017543Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017544Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017545Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017546Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017547Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017548Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017549Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017550Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017551Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017552Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017553Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017554Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017555Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017556Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017557Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017560Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017561Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017562Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017563Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017565Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017566Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017567Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017569Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017570Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017571Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017572Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017574Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017575Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017576Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017577Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017579Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017580Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017581Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017583Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017584Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017585Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017586Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017588Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017589Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017590Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017591Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017593Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017594Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017595Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017597Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017598Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017599Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017600Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017602Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017603Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017604Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017606Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017607Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017608Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017609Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017611Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017612Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017613Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017615Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017616Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017617Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017618Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017620Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017621Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017622Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017624Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017625Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017626Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017627Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017629Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017630Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017631Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017632Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017633Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017634Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017635Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017636Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017637Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017638Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017639Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017640Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017641Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017642Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017643Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017644Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017645Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017646Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017647Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017648Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017649Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017650Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017651Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017652Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017653Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017654Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017655Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017656Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017657Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017658Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017659Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017660Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017661Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017662Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017663Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017664Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017665Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017666Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017667Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017668Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017669Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017670Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017671Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017672Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017673Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017674Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017675Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017676Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017677Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017678Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017679Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017680Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017681Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017682Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017683Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017684Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017685Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017686Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017687Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017688Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017689Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017690Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017691Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017692Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017693Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017694Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017695Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017696Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017697Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017698Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017699Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017700Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017701Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017702Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017703Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017704Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017705Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017706Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017707Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017708Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017709Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017710Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017711Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017712Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017713Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017714Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017715Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017716Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017717Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017718Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017719Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017720Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017721Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017722Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017723Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017724Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017725Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017726Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017727Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017728Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017729Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017730Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017731Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017732Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017733Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017734Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017735Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017736Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017737Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017738Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017739Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017740Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017741Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017742Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017743Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017744Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017745Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017746Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017747Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017748Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017749Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017750Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017751Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017752Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017753Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017754Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017755Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017756Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017757Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017758Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017759Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017760Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017761Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017762Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017763Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017764Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017765Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017766Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017767Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017769Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017770Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017771Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017772Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017773Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017774Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017775Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017776Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017777Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017778Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017779Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017780Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017781Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017782Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017783Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017784Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017785Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017786Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017787Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017788Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017789Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017790Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017791Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017792Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017793Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017794Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017795Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017796Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017797Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017798Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017799Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017800Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017801Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017802Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017804Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017805Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017806Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017807Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017808Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017809Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017810Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017811Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017813Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017814Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017815Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017816Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017817Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017818Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017819Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017820Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017821Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017822Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017823Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017824Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017825Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017826Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017827Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017828Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017829Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017830Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017831Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017832Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017833Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017834Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017835Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017836Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017837Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017838Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017839Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017840Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017841Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017843Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017844Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017845Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017846Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017847Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017848Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017849Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017850Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017851Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017852Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017853Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017854Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017855Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017857Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017858Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017859Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017860Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017861Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017862Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017863Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017864Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017865Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017866Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017867Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017868Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017869Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017871Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017872Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017873Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017874Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017875Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017876Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017877Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017878Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017879Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017880Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017881Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017882Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017883Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017884Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017885Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017886Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017887Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017889Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017890Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017891Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017892Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017893Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017894Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017895Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017897Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017898Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017899Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017900Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017901Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017902Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017903Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017904Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017906Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017907Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017908Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017909Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017910Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017911Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017912Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017913Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017914Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017915Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017916Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017917Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017918Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017919Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017920Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017921Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017922Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017923Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017925Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017926Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017927Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017928Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017929Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017930Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017931Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017932Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017933Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017934Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017935Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017936Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017937Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017938Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017939Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017940Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017941Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017942Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017943Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017944Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017945Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017946Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017947Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017948Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017949Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017950Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017951Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017953Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017955Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017956Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017957Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017958Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017959Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017960Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017961Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017962Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017963Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017964Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017965Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017966Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017967Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017968Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017969Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017970Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017971Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017972Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017973Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017974Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017975Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017976Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017977Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017978Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017979Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017980Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017981Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017982Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017983Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017985Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017986Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017987Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017988Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017990Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017991Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017992Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017993Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017994Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017995Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017996Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017997Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017998Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350017999Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018000Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018001Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018002Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018003Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018004Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018005Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018006Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018007Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018008Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018009Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018010Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018011Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018012Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018013Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018014Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018015Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018016Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018017Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018018Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018019Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018020Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018021Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018022Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018023Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018024Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018025Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018026Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018027Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018028Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018029Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018030Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018031Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018032Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018033Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018034Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018035Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018036Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018037Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018038Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018039Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018040Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018042Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018045Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018046Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018047Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018048Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018049Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018050Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018051Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018052Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018053Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018054Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018055Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018056Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018057Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018058Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018059Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018060Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018062Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018063Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018064Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018065Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018066Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018067Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018068Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018069Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018070Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018071Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018072Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018073Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018074Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018075Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018076Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018077Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018078Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018080Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018081Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018082Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018083Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018084Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018085Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018086Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018088Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018089Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018090Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018091Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018092Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018093Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018094Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018095Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018096Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018097Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018098Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018099Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018100Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018101Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018102Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018103Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018104Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018105Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018106Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018107Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018108Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018109Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018110Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018111Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018112Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018113Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018114Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018115Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018116Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018117Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018118Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018119Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018120Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018121Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018122Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018123Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018124Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018126Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018127Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018128Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018129Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018130Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018131Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018132Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018133Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018135Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018137Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018138Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018139Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018140Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018141Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018142Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018143Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018144Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018145Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018146Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018147Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018148Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018149Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018150Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018151Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018152Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018153Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018154Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018155Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018156Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018157Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018158Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018159Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018160Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018161Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018162Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018163Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018164Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018165Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018166Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018167Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018168Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018169Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018171Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018172Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018173Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018174Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018175Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018176Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018177Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018178Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018179Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018180Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018181Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018182Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018183Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018184Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018185Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018186Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018187Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018189Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018190Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018191Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018193Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018194Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018195Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018196Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018197Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018198Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018199Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018200Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018201Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018300Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018301Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018303Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018305Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018306Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018307Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018308Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018310Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018311Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018312Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018314Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018315Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018316Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018318Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018319Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018320Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018322Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018323Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018324Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018325Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018327Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018328Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018329Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018330Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018332Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018333Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018334Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018336Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018337Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018338Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018340Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018341Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018342Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018344Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018347Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018348Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018349Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018351Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018352Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018354Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018355Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018357Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018358Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018359Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018361Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018362Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018363Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018364Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018366Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018367Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018368Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018370Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018371Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018372Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018373Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018375Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018376Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018378Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018380Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018381Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018382Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018384Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018385Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018386Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018388Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018389Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018390Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018391Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018393Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018394Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018395Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018397Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018398Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018399Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018400Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018402Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018403Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018404Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018406Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018407Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018409Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018410Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018412Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018413Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018414Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018416Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018417Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018418Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018419Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018421Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018422Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018423Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018425Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018426Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018427Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018429Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018430Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018431Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018432Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018434Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018435Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018436Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018438Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018440Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018441Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018443Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018445Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018446Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018447Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018449Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018450Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018451Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018452Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018454Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018455Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018456Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018458Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018459Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018460Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018461Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018463Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018464Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018465Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018466Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018469Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018470Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018471Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018473Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018474Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018475Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018477Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018478Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018479Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018480Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018482Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018483Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018484Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018486Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018487Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018488Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018489Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018491Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018492Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018493Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018495Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018496Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018497Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018498Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018500Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018501Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018502Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018504Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018505Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018506Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018507Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018509Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018510Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018511Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018513Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018514Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018515Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018516Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018518Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018519Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018520Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018522Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018523Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018524Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018525Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018527Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018528Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018529Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018531Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018532Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018533Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018535Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018537Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018538Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018539Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018542Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018543Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018544Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018545Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018547Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018548Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018549Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018551Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018552Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018553Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018555Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018556Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018557Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018558Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018560Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018561Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018562Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018565Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018566Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018567Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018569Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018570Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018571Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018573Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018574Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018575Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018576Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018578Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018579Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018580Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018582Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018583Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018584Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018585Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018587Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018588Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018589Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018590Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018592Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018593Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018594Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018596Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018597Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018598Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018599Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018601Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018602Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018603Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018604Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018606Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018607Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018608Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018610Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018611Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018612Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018613Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018615Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018616Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018617Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018619Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018620Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018621Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018624Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018675Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018676Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018678Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018679Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350018680Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019072Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019073Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019074Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019075Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019076Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019077Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019078Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019079Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019080Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019081Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019082Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019083Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019085Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019086Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019087Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019088Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019090Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019091Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019092Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019093Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019094Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019095Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019096Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019097Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019098Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019099Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019103Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019106Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019109Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019111Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019112Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019113Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019114Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019115Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019116Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019117Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019118Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019120Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019121Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019122Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019123Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019125Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019126Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019127Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019129Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019130Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019131Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019132Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019133Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019135Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019136Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019137Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019138Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019139Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019140Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019141Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019142Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019143Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019144Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019145Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019146Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019147Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019148Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019149Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019150Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019151Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019152Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019153Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019154Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019155Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019156Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019157Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019158Didn't retrieve data .Didn't retrieve data .Didn't 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.Didn't retrieve data .Didn't retrieve data . /1350019307Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019308Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019309Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019310Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019311Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019312Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019313Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1350019314Didn'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, '2723483') ('3318', '22050503', '1349966732', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349966660', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349966354', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961943', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961891', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961839', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961800', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961767', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961734', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961640', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961635', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961631', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961616', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961516', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961428', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961376', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937321', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937155', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937147', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937135', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937081', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936992', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936918', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936837', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936733', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936730', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936639', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936585', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936572', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936545', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349935734', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349935703', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926878', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926869', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926855', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926843', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926834', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926735', None, None, None, None, None, '2723483') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 4421 time used for this insertion : 0.18789219856262207 save_final save missing photos in datou_result : time spend for datou_step_exec : 605.0440218448639 time spend to save output : 0.23876357078552246 total time spend for step 2 : 605.2827854156494 step3:rle_unique_nms_with_priority Tue Apr 15 21:50:51 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 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 1508 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++nb_obj : 26 nb_hashtags : 3 time to prepare the origin masks : 3.609280586242676 time for calcul the mask position with numpy : 1.5942654609680176 nb_pixel_total : 6237946 time to create 1 rle with new method : 1.0535054206848145 time for calcul the mask position with numpy : 0.030649185180664062 nb_pixel_total : 37375 time to create 1 rle with old method : 0.04434061050415039 time for calcul the mask position with numpy : 0.030092477798461914 nb_pixel_total : 3046 time to create 1 rle with old method : 0.0036003589630126953 time for calcul the mask position with numpy : 0.030095577239990234 nb_pixel_total : 21384 time to create 1 rle with old method : 0.024031877517700195 time for calcul the mask position with numpy : 0.029927730560302734 nb_pixel_total : 10115 time to create 1 rle with old method : 0.011608600616455078 time for calcul the mask position with numpy : 0.02954411506652832 nb_pixel_total : 4629 time to create 1 rle with old method : 0.0055255889892578125 time for calcul the mask position with numpy : 0.02939915657043457 nb_pixel_total : 36203 time to create 1 rle with old method : 0.04123067855834961 time for calcul the mask position with numpy : 0.0370175838470459 nb_pixel_total : 12890 time to create 1 rle with old method : 0.016966581344604492 time for calcul the mask position with numpy : 0.0309145450592041 nb_pixel_total : 152387 time to create 1 rle with new method : 0.858015775680542 time for calcul the mask position with numpy : 0.030122756958007812 nb_pixel_total : 36548 time to create 1 rle with old method : 0.04182720184326172 time for calcul the mask position with numpy : 0.029929161071777344 nb_pixel_total : 10112 time to create 1 rle with old method : 0.011662721633911133 time for calcul the mask position with numpy : 0.031134605407714844 nb_pixel_total : 44137 time to create 1 rle with old method : 0.05037736892700195 time for calcul the mask position with numpy : 0.03002476692199707 nb_pixel_total : 24402 time to create 1 rle with old method : 0.0279233455657959 time for calcul the mask position with numpy : 0.029930830001831055 nb_pixel_total : 51266 time to create 1 rle with old method : 0.05826282501220703 time for calcul the mask position with numpy : 0.030783414840698242 nb_pixel_total : 24332 time to create 1 rle with old method : 0.03967928886413574 time for calcul the mask position with numpy : 0.03302574157714844 nb_pixel_total : 19163 time to create 1 rle with old method : 0.021587371826171875 time for calcul the mask position with numpy : 0.02931666374206543 nb_pixel_total : 40861 time to create 1 rle with old method : 0.04574322700500488 time for calcul the mask position with numpy : 0.028967857360839844 nb_pixel_total : 3946 time to create 1 rle with old method : 0.004609823226928711 time for calcul the mask position with numpy : 0.0295255184173584 nb_pixel_total : 12525 time to create 1 rle with old method : 0.014111995697021484 time for calcul the mask position with numpy : 0.0321040153503418 nb_pixel_total : 19778 time to create 1 rle with old method : 0.02515125274658203 time for calcul the mask position with numpy : 0.030627727508544922 nb_pixel_total : 122677 time to create 1 rle with old method : 0.14097285270690918 time for calcul the mask position with numpy : 0.03059077262878418 nb_pixel_total : 22127 time to create 1 rle with old method : 0.025285959243774414 time for calcul the mask position with numpy : 0.03049325942993164 nb_pixel_total : 5711 time to create 1 rle with old method : 0.007596731185913086 time for calcul the mask position with numpy : 0.03246712684631348 nb_pixel_total : 32934 time to create 1 rle with old method : 0.03703927993774414 time for calcul the mask position with numpy : 0.03278923034667969 nb_pixel_total : 45293 time to create 1 rle with old method : 0.05461597442626953 time for calcul the mask position with numpy : 0.029763221740722656 nb_pixel_total : 6706 time to create 1 rle with old method : 0.0077211856842041016 time for calcul the mask position with numpy : 0.029181480407714844 nb_pixel_total : 11747 time to create 1 rle with old method : 0.013278961181640625 create new chi : 5.158750534057617 time to delete rle : 0.02638411521911621 batch 1 Loaded 53 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 14855 TO DO : save crop sub photo not yet done ! save time : 0.8741374015808105 nb_obj : 14 nb_hashtags : 3 time to prepare the origin masks : 5.893107175827026 time for calcul the mask position with numpy : 0.8497066497802734 nb_pixel_total : 6243785 time to create 1 rle with new method : 0.6616451740264893 time for calcul the mask position with numpy : 0.035752296447753906 nb_pixel_total : 19886 time to create 1 rle with old method : 0.022456645965576172 time for calcul the mask position with numpy : 0.036473989486694336 nb_pixel_total : 20637 time to create 1 rle with old method : 0.023172616958618164 time for calcul the mask position with numpy : 0.04241824150085449 nb_pixel_total : 257100 time to create 1 rle with new method : 0.47701048851013184 time for calcul the mask position with numpy : 0.04414987564086914 nb_pixel_total : 42476 time to create 1 rle with old method : 0.04736185073852539 time for calcul the mask position with numpy : 0.038991689682006836 nb_pixel_total : 23369 time to create 1 rle with old method : 0.02605438232421875 time for calcul the mask position with numpy : 0.03471517562866211 nb_pixel_total : 32590 time to create 1 rle with old method : 0.0365900993347168 time for calcul the mask position with numpy : 0.03516721725463867 nb_pixel_total : 79605 time to create 1 rle with old method : 0.08818507194519043 time for calcul the mask position with numpy : 0.03417849540710449 nb_pixel_total : 4016 time to create 1 rle with old method : 0.004602193832397461 time for calcul the mask position with numpy : 0.03249788284301758 nb_pixel_total : 117953 time to create 1 rle with old method : 0.12964391708374023 time for calcul the mask position with numpy : 0.03253531455993652 nb_pixel_total : 12747 time to create 1 rle with old method : 0.014260292053222656 time for calcul the mask position with numpy : 0.030228376388549805 nb_pixel_total : 12789 time to create 1 rle with old method : 0.014214038848876953 time for calcul the mask position with numpy : 0.02205181121826172 nb_pixel_total : 10968 time to create 1 rle with old method : 0.012221097946166992 time for calcul the mask position with numpy : 0.023554325103759766 nb_pixel_total : 159736 time to create 1 rle with new method : 0.996389627456665 time for calcul the mask position with numpy : 0.024507999420166016 nb_pixel_total : 12583 time to create 1 rle with old method : 0.014112472534179688 create new chi : 3.9809210300445557 time to delete rle : 0.0023832321166992188 batch 1 Loaded 29 chid ids of type : 3594 +++++++++++++++++++++++Number RLEs to save : 8639 TO DO : save crop sub photo not yet done ! save time : 0.5439238548278809 nb_obj : 13 nb_hashtags : 4 time to prepare the origin masks : 7.176694393157959 time for calcul the mask position with numpy : 0.5390245914459229 nb_pixel_total : 6734900 time to create 1 rle with new method : 0.5360414981842041 time for calcul the mask position with numpy : 0.0379180908203125 nb_pixel_total : 14159 time to create 1 rle with old method : 0.01682424545288086 time for calcul the mask position with numpy : 0.036385536193847656 nb_pixel_total : 11565 time to create 1 rle with old method : 0.013006448745727539 time for calcul the mask position with numpy : 0.03884553909301758 nb_pixel_total : 6580 time to create 1 rle with old method : 0.007695674896240234 time for calcul the mask position with numpy : 0.030220508575439453 nb_pixel_total : 14225 time to create 1 rle with old method : 0.016373634338378906 time for calcul the mask position with numpy : 0.022707223892211914 nb_pixel_total : 31513 time to create 1 rle with old method : 0.040224313735961914 time for calcul the mask position with numpy : 0.04483151435852051 nb_pixel_total : 20187 time to create 1 rle with old method : 0.02280402183532715 time for calcul the mask position with numpy : 0.044152259826660156 nb_pixel_total : 14709 time to create 1 rle with old method : 0.016812562942504883 time for calcul the mask position with numpy : 0.04369235038757324 nb_pixel_total : 42314 time to create 1 rle with old method : 0.047533512115478516 time for calcul the mask position with numpy : 0.045003414154052734 nb_pixel_total : 15496 time to create 1 rle with old method : 0.01766657829284668 time for calcul the mask position with numpy : 0.04123353958129883 nb_pixel_total : 5351 time to create 1 rle with old method : 0.0065288543701171875 time for calcul the mask position with numpy : 0.042302608489990234 nb_pixel_total : 67425 time to create 1 rle with old method : 0.07788872718811035 time for calcul the mask position with numpy : 0.041678428649902344 nb_pixel_total : 58927 time to create 1 rle with old method : 0.0674276351928711 time for calcul the mask position with numpy : 0.038236379623413086 nb_pixel_total : 12889 time to create 1 rle with old method : 0.014565229415893555 create new chi : 1.996077537536621 time to delete rle : 0.0016651153564453125 batch 1 Loaded 27 chid ids of type : 3594 +++++++++++++++++Number RLEs to save : 7120 TO DO : save crop sub photo not yet done ! save time : 0.4477381706237793 nb_obj : 30 nb_hashtags : 3 time to prepare the origin masks : 4.850728988647461 time for calcul the mask position with numpy : 0.44097328186035156 nb_pixel_total : 5075982 time to create 1 rle with new method : 1.203516960144043 time for calcul the mask position with numpy : 0.03182554244995117 nb_pixel_total : 268760 time to create 1 rle with new method : 0.952923059463501 time for calcul the mask position with numpy : 0.029815673828125 nb_pixel_total : 22606 time to create 1 rle with old method : 0.03687739372253418 time for calcul the mask position with numpy : 0.03285336494445801 nb_pixel_total : 19279 time to create 1 rle with old method : 0.023194551467895508 time for calcul the mask position with numpy : 0.029259920120239258 nb_pixel_total : 110827 time to create 1 rle with old method : 0.1230921745300293 time for calcul the mask position with numpy : 0.029149770736694336 nb_pixel_total : 18493 time to create 1 rle with old method : 0.020679473876953125 time for calcul the mask position with numpy : 0.029042959213256836 nb_pixel_total : 19754 time to create 1 rle with old method : 0.02218461036682129 time for calcul the mask position with numpy : 0.029120922088623047 nb_pixel_total : 50879 time to create 1 rle with old method : 0.05648016929626465 time for calcul the mask position with numpy : 0.028377294540405273 nb_pixel_total : 26958 time to create 1 rle with old method : 0.02900385856628418 time for calcul the mask position with numpy : 0.029259681701660156 nb_pixel_total : 199925 time to create 1 rle with new method : 0.4661436080932617 time for calcul the mask position with numpy : 0.03243517875671387 nb_pixel_total : 196939 time to create 1 rle with new method : 0.8707304000854492 time for calcul the mask position with numpy : 0.028925657272338867 nb_pixel_total : 12647 time to create 1 rle with old method : 0.014163494110107422 time for calcul the mask position with numpy : 0.029093503952026367 nb_pixel_total : 47731 time to create 1 rle with old method : 0.053322792053222656 time for calcul the mask position with numpy : 0.02964639663696289 nb_pixel_total : 157218 time to create 1 rle with new method : 1.7612223625183105 time for calcul the mask position with numpy : 0.030677080154418945 nb_pixel_total : 241608 time to create 1 rle with new method : 0.5186870098114014 time for calcul the mask position with numpy : 0.030606985092163086 nb_pixel_total : 141167 time to create 1 rle with old method : 0.16317319869995117 time for calcul the mask position with numpy : 0.029534101486206055 nb_pixel_total : 108140 time to create 1 rle with old method : 0.14320683479309082 time for calcul the mask position with numpy : 0.031160593032836914 nb_pixel_total : 19230 time to create 1 rle with old method : 0.021405458450317383 time for calcul the mask position with numpy : 0.029700756072998047 nb_pixel_total : 62849 time to create 1 rle with old method : 0.07763099670410156 time for calcul the mask position with numpy : 0.029766082763671875 nb_pixel_total : 38311 time to create 1 rle with old method : 0.0443115234375 time for calcul the mask position with numpy : 0.031140804290771484 nb_pixel_total : 10399 time to create 1 rle with old method : 0.012159109115600586 time for calcul the mask position with numpy : 0.030980348587036133 nb_pixel_total : 11306 time to create 1 rle with old method : 0.012671947479248047 time for calcul the mask position with numpy : 0.02937626838684082 nb_pixel_total : 17681 time to create 1 rle with old method : 0.019832849502563477 time for calcul the mask position with numpy : 0.031527042388916016 nb_pixel_total : 16670 time to create 1 rle with old method : 0.0188601016998291 time for calcul the mask position with numpy : 0.03075265884399414 nb_pixel_total : 40496 time to create 1 rle with old method : 0.05060935020446777 time for calcul the mask position with numpy : 0.032004356384277344 nb_pixel_total : 19610 time to create 1 rle with old method : 0.021655797958374023 time for calcul the mask position with numpy : 0.028921127319335938 nb_pixel_total : 13546 time to create 1 rle with old method : 0.015161991119384766 time for calcul the mask position with numpy : 0.029334068298339844 nb_pixel_total : 27687 time to create 1 rle with old method : 0.03230023384094238 time for calcul the mask position with numpy : 0.029205322265625 nb_pixel_total : 39583 time to create 1 rle with old method : 0.04775547981262207 time for calcul the mask position with numpy : 0.029078006744384766 nb_pixel_total : 10161 time to create 1 rle with old method : 0.011493206024169922 time for calcul the mask position with numpy : 0.028932571411132812 nb_pixel_total : 3798 time to create 1 rle with old method : 0.004332065582275391 create new chi : 8.356443166732788 time to delete rle : 0.0028047561645507812 batch 1 Loaded 61 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++Number RLEs to save : 19538 TO DO : save crop sub photo not yet done ! save time : 1.1908080577850342 nb_obj : 19 nb_hashtags : 4 time to prepare the origin masks : 6.229131698608398 time for calcul the mask position with numpy : 0.23115181922912598 nb_pixel_total : 5711061 time to create 1 rle with new method : 0.8764255046844482 time for calcul the mask position with numpy : 0.038645029067993164 nb_pixel_total : 84128 time to create 1 rle with old method : 0.09491848945617676 time for calcul the mask position with numpy : 0.03954744338989258 nb_pixel_total : 17356 time to create 1 rle with old method : 0.022850751876831055 time for calcul the mask position with numpy : 0.041055917739868164 nb_pixel_total : 107461 time to create 1 rle with old method : 0.12476110458374023 time for calcul the mask position with numpy : 0.03948974609375 nb_pixel_total : 112632 time to create 1 rle with old method : 0.14945316314697266 time for calcul the mask position with numpy : 0.03464078903198242 nb_pixel_total : 10426 time to create 1 rle with old method : 0.011815071105957031 time for calcul the mask position with numpy : 0.03485608100891113 nb_pixel_total : 96438 time to create 1 rle with old method : 0.1070852279663086 time for calcul the mask position with numpy : 0.0346674919128418 nb_pixel_total : 20209 time to create 1 rle with old method : 0.022517681121826172 time for calcul the mask position with numpy : 0.03917646408081055 nb_pixel_total : 13675 time to create 1 rle with old method : 0.015245676040649414 time for calcul the mask position with numpy : 0.03440141677856445 nb_pixel_total : 9727 time to create 1 rle with old method : 0.010920047760009766 time for calcul the mask position with numpy : 0.03334164619445801 nb_pixel_total : 14128 time to create 1 rle with old method : 0.015858888626098633 time for calcul the mask position with numpy : 0.0367889404296875 nb_pixel_total : 41609 time to create 1 rle with old method : 0.04662203788757324 time for calcul the mask position with numpy : 0.04140019416809082 nb_pixel_total : 146232 time to create 1 rle with old method : 0.18486237525939941 time for calcul the mask position with numpy : 0.03587055206298828 nb_pixel_total : 67836 time to create 1 rle with old method : 0.07503128051757812 time for calcul the mask position with numpy : 0.03477287292480469 nb_pixel_total : 54079 time to create 1 rle with old method : 0.061800241470336914 time for calcul the mask position with numpy : 0.03915262222290039 nb_pixel_total : 9365 time to create 1 rle with old method : 0.010448932647705078 time for calcul the mask position with numpy : 0.0354456901550293 nb_pixel_total : 99772 time to create 1 rle with old method : 0.11031937599182129 time for calcul the mask position with numpy : 0.03784584999084473 nb_pixel_total : 152605 time to create 1 rle with new method : 0.7058925628662109 time for calcul the mask position with numpy : 0.03793764114379883 nb_pixel_total : 23157 time to create 1 rle with old method : 0.03698563575744629 time for calcul the mask position with numpy : 0.04114413261413574 nb_pixel_total : 258344 time to create 1 rle with new method : 0.5714828968048096 create new chi : 4.284188270568848 time to delete rle : 0.0039196014404296875 batch 1 Loaded 39 chid ids of type : 3594 ++++++++++++++++++++++++Number RLEs to save : 14956 TO DO : save crop sub photo not yet done ! save time : 0.8729348182678223 nb_obj : 16 nb_hashtags : 3 time to prepare the origin masks : 5.37035346031189 time for calcul the mask position with numpy : 0.6854121685028076 nb_pixel_total : 5055456 time to create 1 rle with new method : 1.857530117034912 time for calcul the mask position with numpy : 0.022070884704589844 nb_pixel_total : 39422 time to create 1 rle with old method : 0.04711508750915527 time for calcul the mask position with numpy : 0.022393226623535156 nb_pixel_total : 4402 time to create 1 rle with old method : 0.005004405975341797 time for calcul the mask position with numpy : 0.023008108139038086 nb_pixel_total : 46499 time to create 1 rle with old method : 0.05364632606506348 time for calcul the mask position with numpy : 0.035607099533081055 nb_pixel_total : 914373 time to create 1 rle with new method : 0.5757648944854736 time for calcul the mask position with numpy : 0.022909879684448242 nb_pixel_total : 172598 time to create 1 rle with new method : 0.4840669631958008 time for calcul the mask position with numpy : 0.022882938385009766 nb_pixel_total : 136686 time to create 1 rle with old method : 0.150986909866333 time for calcul the mask position with numpy : 0.022011518478393555 nb_pixel_total : 58556 time to create 1 rle with old method : 0.06243896484375 time for calcul the mask position with numpy : 0.028465747833251953 nb_pixel_total : 16861 time to create 1 rle with old method : 0.01772785186767578 time for calcul the mask position with numpy : 0.033583879470825195 nb_pixel_total : 18620 time to create 1 rle with old method : 0.019742727279663086 time for calcul the mask position with numpy : 0.0338139533996582 nb_pixel_total : 75195 time to create 1 rle with old method : 0.08039689064025879 time for calcul the mask position with numpy : 0.03382229804992676 nb_pixel_total : 58089 time to create 1 rle with old method : 0.06368112564086914 time for calcul the mask position with numpy : 0.036344051361083984 nb_pixel_total : 130236 time to create 1 rle with old method : 0.14403724670410156 time for calcul the mask position with numpy : 0.03354454040527344 nb_pixel_total : 43012 time to create 1 rle with old method : 0.04609847068786621 time for calcul the mask position with numpy : 0.0342411994934082 nb_pixel_total : 49833 time to create 1 rle with old method : 0.056894540786743164 time for calcul the mask position with numpy : 0.034893035888671875 nb_pixel_total : 102560 time to create 1 rle with old method : 0.1327500343322754 time for calcul the mask position with numpy : 0.05174970626831055 nb_pixel_total : 127842 time to create 1 rle with old method : 0.1859419345855713 create new chi : 5.2472968101501465 time to delete rle : 0.0023572444915771484 batch 1 Loaded 33 chid ids of type : 3594 +++++++++++++++++++++++Number RLEs to save : 15602 TO DO : save crop sub photo not yet done ! save time : 0.92348313331604 nb_obj : 40 nb_hashtags : 4 time to prepare the origin masks : 4.082832336425781 time for calcul the mask position with numpy : 0.6832654476165771 nb_pixel_total : 5711835 time to create 1 rle with new method : 0.7388594150543213 time for calcul the mask position with numpy : 0.02938246726989746 nb_pixel_total : 18525 time to create 1 rle with old method : 0.023311614990234375 time for calcul the mask position with numpy : 0.03233075141906738 nb_pixel_total : 15536 time to create 1 rle with old method : 0.01747584342956543 time for calcul the mask position with numpy : 0.030454397201538086 nb_pixel_total : 100373 time to create 1 rle with old method : 0.11162114143371582 time for calcul the mask position with numpy : 0.029692649841308594 nb_pixel_total : 43513 time to create 1 rle with old method : 0.05022311210632324 time for calcul the mask position with numpy : 0.03433990478515625 nb_pixel_total : 12250 time to create 1 rle with old method : 0.016088008880615234 time for calcul the mask position with numpy : 0.029949188232421875 nb_pixel_total : 7202 time to create 1 rle with old method : 0.008300304412841797 time for calcul the mask position with numpy : 0.029626846313476562 nb_pixel_total : 16399 time to create 1 rle with old method : 0.018928050994873047 time for calcul the mask position with numpy : 0.03298187255859375 nb_pixel_total : 38732 time to create 1 rle with old method : 0.04517197608947754 time for calcul the mask position with numpy : 0.02919769287109375 nb_pixel_total : 13154 time to create 1 rle with old method : 0.02017498016357422 time for calcul the mask position with numpy : 0.033270835876464844 nb_pixel_total : 22500 time to create 1 rle with old method : 0.03595900535583496 time for calcul the mask position with numpy : 0.029042959213256836 nb_pixel_total : 171 time to create 1 rle with old method : 0.00028634071350097656 time for calcul the mask position with numpy : 0.02891826629638672 nb_pixel_total : 25752 time to create 1 rle with old method : 0.029051780700683594 time for calcul the mask position with numpy : 0.02947402000427246 nb_pixel_total : 61055 time to create 1 rle with old method : 0.06985855102539062 time for calcul the mask position with numpy : 0.02899026870727539 nb_pixel_total : 26742 time to create 1 rle with old method : 0.030365705490112305 time for calcul the mask position with numpy : 0.029831886291503906 nb_pixel_total : 70957 time to create 1 rle with old method : 0.08320426940917969 time for calcul the mask position with numpy : 0.03152799606323242 nb_pixel_total : 31461 time to create 1 rle with old method : 0.040409088134765625 time for calcul the mask position with numpy : 0.03122258186340332 nb_pixel_total : 22621 time to create 1 rle with old method : 0.032775163650512695 time for calcul the mask position with numpy : 0.030272483825683594 nb_pixel_total : 48547 time to create 1 rle with old method : 0.05489540100097656 time for calcul the mask position with numpy : 0.029387235641479492 nb_pixel_total : 25771 time to create 1 rle with old method : 0.028979778289794922 time for calcul the mask position with numpy : 0.029134511947631836 nb_pixel_total : 22791 time to create 1 rle with old method : 0.02559828758239746 time for calcul the mask position with numpy : 0.029398441314697266 nb_pixel_total : 49370 time to create 1 rle with old method : 0.055527448654174805 time for calcul the mask position with numpy : 0.030421733856201172 nb_pixel_total : 140545 time to create 1 rle with old method : 0.15676093101501465 time for calcul the mask position with numpy : 0.029465436935424805 nb_pixel_total : 19136 time to create 1 rle with old method : 0.021513938903808594 time for calcul the mask position with numpy : 0.029576539993286133 nb_pixel_total : 1998 time to create 1 rle with old method : 0.003143787384033203 time for calcul the mask position with numpy : 0.030231475830078125 nb_pixel_total : 26270 time to create 1 rle with old method : 0.02940082550048828 time for calcul the mask position with numpy : 0.029254913330078125 nb_pixel_total : 3264 time to create 1 rle with old method : 0.003963947296142578 time for calcul the mask position with numpy : 0.030810832977294922 nb_pixel_total : 47382 time to create 1 rle with old method : 0.05302286148071289 time for calcul the mask position with numpy : 0.029152631759643555 nb_pixel_total : 5203 time to create 1 rle with old method : 0.006027936935424805 time for calcul the mask position with numpy : 0.028963565826416016 nb_pixel_total : 6390 time to create 1 rle with old method : 0.007473468780517578 time for calcul the mask position with numpy : 0.029333114624023438 nb_pixel_total : 103 time to create 1 rle with old method : 0.00015306472778320312 time for calcul the mask position with numpy : 0.029646635055541992 nb_pixel_total : 27845 time to create 1 rle with old method : 0.03190946578979492 time for calcul the mask position with numpy : 0.030297517776489258 nb_pixel_total : 20363 time to create 1 rle with old method : 0.02306222915649414 time for calcul the mask position with numpy : 0.029124736785888672 nb_pixel_total : 7376 time to create 1 rle with old method : 0.008412837982177734 time for calcul the mask position with numpy : 0.03172802925109863 nb_pixel_total : 100181 time to create 1 rle with old method : 0.11156511306762695 time for calcul the mask position with numpy : 0.029680728912353516 nb_pixel_total : 32018 time to create 1 rle with old method : 0.03577446937561035 time for calcul the mask position with numpy : 0.02955341339111328 nb_pixel_total : 24614 time to create 1 rle with old method : 0.02734661102294922 time for calcul the mask position with numpy : 0.02928781509399414 nb_pixel_total : 104470 time to create 1 rle with old method : 0.14075589179992676 time for calcul the mask position with numpy : 0.029016733169555664 nb_pixel_total : 20638 time to create 1 rle with old method : 0.023374319076538086 time for calcul the mask position with numpy : 0.02913975715637207 nb_pixel_total : 24720 time to create 1 rle with old method : 0.027911663055419922 time for calcul the mask position with numpy : 0.029451847076416016 nb_pixel_total : 52467 time to create 1 rle with old method : 0.059211015701293945 create new chi : 4.231130838394165 time to delete rle : 0.003839254379272461 batch 1 Loaded 81 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 21268 TO DO : save crop sub photo not yet done ! save time : 1.2413415908813477 nb_obj : 28 nb_hashtags : 4 time to prepare the origin masks : 3.8870692253112793 time for calcul the mask position with numpy : 0.5063228607177734 nb_pixel_total : 6038891 time to create 1 rle with new method : 0.45360612869262695 time for calcul the mask position with numpy : 0.029174089431762695 nb_pixel_total : 13007 time to create 1 rle with old method : 0.014686346054077148 time for calcul the mask position with numpy : 0.028997182846069336 nb_pixel_total : 4382 time to create 1 rle with old method : 0.0050737857818603516 time for calcul the mask position with numpy : 0.02895951271057129 nb_pixel_total : 13973 time to create 1 rle with old method : 0.01546478271484375 time for calcul the mask position with numpy : 0.02938103675842285 nb_pixel_total : 47095 time to create 1 rle with old method : 0.052263736724853516 time for calcul the mask position with numpy : 0.02914142608642578 nb_pixel_total : 14260 time to create 1 rle with old method : 0.016103506088256836 time for calcul the mask position with numpy : 0.0338895320892334 nb_pixel_total : 155744 time to create 1 rle with new method : 0.5921666622161865 time for calcul the mask position with numpy : 0.03221249580383301 nb_pixel_total : 28037 time to create 1 rle with old method : 0.03172183036804199 time for calcul the mask position with numpy : 0.0297391414642334 nb_pixel_total : 15130 time to create 1 rle with old method : 0.017343997955322266 time for calcul the mask position with numpy : 0.029235363006591797 nb_pixel_total : 12516 time to create 1 rle with old method : 0.014300823211669922 time for calcul the mask position with numpy : 0.029517412185668945 nb_pixel_total : 58279 time to create 1 rle with old method : 0.06642699241638184 time for calcul the mask position with numpy : 0.02972865104675293 nb_pixel_total : 30873 time to create 1 rle with old method : 0.04982256889343262 time for calcul the mask position with numpy : 0.03324484825134277 nb_pixel_total : 32861 time to create 1 rle with old method : 0.037580251693725586 time for calcul the mask position with numpy : 0.029709815979003906 nb_pixel_total : 37483 time to create 1 rle with old method : 0.04227137565612793 time for calcul the mask position with numpy : 0.029099225997924805 nb_pixel_total : 14207 time to create 1 rle with old method : 0.019446611404418945 time for calcul the mask position with numpy : 0.03069925308227539 nb_pixel_total : 1396 time to create 1 rle with old method : 0.0019567012786865234 time for calcul the mask position with numpy : 0.029727458953857422 nb_pixel_total : 42011 time to create 1 rle with old method : 0.0470280647277832 time for calcul the mask position with numpy : 0.028749942779541016 nb_pixel_total : 58431 time to create 1 rle with old method : 0.06568503379821777 time for calcul the mask position with numpy : 0.028916597366333008 nb_pixel_total : 38076 time to create 1 rle with old method : 0.04212594032287598 time for calcul the mask position with numpy : 0.02895832061767578 nb_pixel_total : 19638 time to create 1 rle with old method : 0.022345781326293945 time for calcul the mask position with numpy : 0.02853703498840332 nb_pixel_total : 62375 time to create 1 rle with old method : 0.06879329681396484 time for calcul the mask position with numpy : 0.02797389030456543 nb_pixel_total : 21926 time to create 1 rle with old method : 0.02375316619873047 time for calcul the mask position with numpy : 0.028090476989746094 nb_pixel_total : 6776 time to create 1 rle with old method : 0.007617473602294922 time for calcul the mask position with numpy : 0.028411149978637695 nb_pixel_total : 12550 time to create 1 rle with old method : 0.013809680938720703 time for calcul the mask position with numpy : 0.028240442276000977 nb_pixel_total : 10863 time to create 1 rle with old method : 0.011895179748535156 time for calcul the mask position with numpy : 0.028455257415771484 nb_pixel_total : 62185 time to create 1 rle with old method : 0.09581708908081055 time for calcul the mask position with numpy : 0.029174089431762695 nb_pixel_total : 40382 time to create 1 rle with old method : 0.04503607749938965 time for calcul the mask position with numpy : 0.029874324798583984 nb_pixel_total : 129485 time to create 1 rle with old method : 0.17460036277770996 time for calcul the mask position with numpy : 0.029233217239379883 nb_pixel_total : 27408 time to create 1 rle with old method : 0.030942678451538086 create new chi : 3.4733316898345947 time to delete rle : 0.0025475025177001953 batch 1 Loaded 57 chid ids of type : 3594 +++++++++++++++++++++++++++++++++Number RLEs to save : 14663 TO DO : save crop sub photo not yet done ! save time : 0.8563592433929443 nb_obj : 28 nb_hashtags : 3 time to prepare the origin masks : 3.6211998462677 time for calcul the mask position with numpy : 0.48667240142822266 nb_pixel_total : 6261050 time to create 1 rle with new method : 0.5090653896331787 time for calcul the mask position with numpy : 0.028905868530273438 nb_pixel_total : 6504 time to create 1 rle with old method : 0.007271289825439453 time for calcul the mask position with numpy : 0.028899192810058594 nb_pixel_total : 20699 time to create 1 rle with old method : 0.023291587829589844 time for calcul the mask position with numpy : 0.029036998748779297 nb_pixel_total : 14898 time to create 1 rle with old method : 0.016720056533813477 time for calcul the mask position with numpy : 0.029053688049316406 nb_pixel_total : 19461 time to create 1 rle with old method : 0.02154397964477539 time for calcul the mask position with numpy : 0.0294189453125 nb_pixel_total : 32474 time to create 1 rle with old method : 0.03613686561584473 time for calcul the mask position with numpy : 0.03253293037414551 nb_pixel_total : 59520 time to create 1 rle with old method : 0.06977605819702148 time for calcul the mask position with numpy : 0.033204078674316406 nb_pixel_total : 60871 time to create 1 rle with old method : 0.09882378578186035 time for calcul the mask position with numpy : 0.03330373764038086 nb_pixel_total : 8703 time to create 1 rle with old method : 0.015152454376220703 time for calcul the mask position with numpy : 0.061643362045288086 nb_pixel_total : 9346 time to create 1 rle with old method : 0.07497549057006836 time for calcul the mask position with numpy : 0.045302629470825195 nb_pixel_total : 14281 time to create 1 rle with old method : 0.016119956970214844 time for calcul the mask position with numpy : 0.029465198516845703 nb_pixel_total : 15190 time to create 1 rle with old method : 0.017043113708496094 time for calcul the mask position with numpy : 0.029331684112548828 nb_pixel_total : 21410 time to create 1 rle with old method : 0.026845216751098633 time for calcul the mask position with numpy : 0.031034469604492188 nb_pixel_total : 38186 time to create 1 rle with old method : 0.05544304847717285 time for calcul the mask position with numpy : 0.031781673431396484 nb_pixel_total : 46682 time to create 1 rle with old method : 0.05192995071411133 time for calcul the mask position with numpy : 0.029878616333007812 nb_pixel_total : 18930 time to create 1 rle with old method : 0.021248579025268555 time for calcul the mask position with numpy : 0.030157089233398438 nb_pixel_total : 8803 time to create 1 rle with old method : 0.009934663772583008 time for calcul the mask position with numpy : 0.03168964385986328 nb_pixel_total : 12002 time to create 1 rle with old method : 0.013471126556396484 time for calcul the mask position with numpy : 0.029950857162475586 nb_pixel_total : 8094 time to create 1 rle with old method : 0.009447574615478516 time for calcul the mask position with numpy : 0.031072378158569336 nb_pixel_total : 6725 time to create 1 rle with old method : 0.007888555526733398 time for calcul the mask position with numpy : 0.03362774848937988 nb_pixel_total : 7618 time to create 1 rle with old method : 0.012563467025756836 time for calcul the mask position with numpy : 0.03271365165710449 nb_pixel_total : 16247 time to create 1 rle with old method : 0.018476009368896484 time for calcul the mask position with numpy : 0.03232383728027344 nb_pixel_total : 24423 time to create 1 rle with old method : 0.0273282527923584 time for calcul the mask position with numpy : 0.03014826774597168 nb_pixel_total : 141720 time to create 1 rle with old method : 0.15905427932739258 time for calcul the mask position with numpy : 0.029059410095214844 nb_pixel_total : 13025 time to create 1 rle with old method : 0.014592170715332031 time for calcul the mask position with numpy : 0.029459714889526367 nb_pixel_total : 45313 time to create 1 rle with old method : 0.07690167427062988 time for calcul the mask position with numpy : 0.03751826286315918 nb_pixel_total : 64698 time to create 1 rle with old method : 0.10145020484924316 time for calcul the mask position with numpy : 0.029618501663208008 nb_pixel_total : 40161 time to create 1 rle with old method : 0.04693341255187988 time for calcul the mask position with numpy : 0.02952718734741211 nb_pixel_total : 13206 time to create 1 rle with old method : 0.015114545822143555 create new chi : 3.007664918899536 time to delete rle : 0.002221822738647461 batch 1 Loaded 57 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 13879 TO DO : save crop sub photo not yet done ! save time : 0.8556482791900635 nb_obj : 44 nb_hashtags : 3 time to prepare the origin masks : 4.040281534194946 time for calcul the mask position with numpy : 0.5563664436340332 nb_pixel_total : 5878185 time to create 1 rle with new method : 0.6586019992828369 time for calcul the mask position with numpy : 0.03115105628967285 nb_pixel_total : 12402 time to create 1 rle with old method : 0.013938665390014648 time for calcul the mask position with numpy : 0.0313870906829834 nb_pixel_total : 18372 time to create 1 rle with old method : 0.020734548568725586 time for calcul the mask position with numpy : 0.030052900314331055 nb_pixel_total : 101675 time to create 1 rle with old method : 0.11263227462768555 time for calcul the mask position with numpy : 0.02900409698486328 nb_pixel_total : 9889 time to create 1 rle with old method : 0.015367984771728516 time for calcul the mask position with numpy : 0.0327761173248291 nb_pixel_total : 4663 time to create 1 rle with old method : 0.007657527923583984 time for calcul the mask position with numpy : 0.03277087211608887 nb_pixel_total : 18822 time to create 1 rle with old method : 0.020847558975219727 time for calcul the mask position with numpy : 0.02876567840576172 nb_pixel_total : 6170 time to create 1 rle with old method : 0.006921529769897461 time for calcul the mask position with numpy : 0.02863931655883789 nb_pixel_total : 6038 time to create 1 rle with old method : 0.006756782531738281 time for calcul the mask position with numpy : 0.028607606887817383 nb_pixel_total : 9601 time to create 1 rle with old method : 0.010931730270385742 time for calcul the mask position with numpy : 0.0290374755859375 nb_pixel_total : 24250 time to create 1 rle with old method : 0.02673172950744629 time for calcul the mask position with numpy : 0.028159618377685547 nb_pixel_total : 24343 time to create 1 rle with old method : 0.027333736419677734 time for calcul the mask position with numpy : 0.02912759780883789 nb_pixel_total : 28805 time to create 1 rle with old method : 0.032698631286621094 time for calcul the mask position with numpy : 0.029297351837158203 nb_pixel_total : 30197 time to create 1 rle with old method : 0.033641815185546875 time for calcul the mask position with numpy : 0.028996944427490234 nb_pixel_total : 32907 time to create 1 rle with old method : 0.03705024719238281 time for calcul the mask position with numpy : 0.029325008392333984 nb_pixel_total : 52695 time to create 1 rle with old method : 0.05918240547180176 time for calcul the mask position with numpy : 0.029830217361450195 nb_pixel_total : 35913 time to create 1 rle with old method : 0.04056739807128906 time for calcul the mask position with numpy : 0.0290069580078125 nb_pixel_total : 11097 time to create 1 rle with old method : 0.01254582405090332 time for calcul the mask position with numpy : 0.02992105484008789 nb_pixel_total : 34517 time to create 1 rle with old method : 0.03856348991394043 time for calcul the mask position with numpy : 0.02897787094116211 nb_pixel_total : 6184 time to create 1 rle with old method : 0.006984710693359375 time for calcul the mask position with numpy : 0.028968334197998047 nb_pixel_total : 22483 time to create 1 rle with old method : 0.025699853897094727 time for calcul the mask position with numpy : 0.029065608978271484 nb_pixel_total : 2362 time to create 1 rle with old method : 0.002737760543823242 time for calcul the mask position with numpy : 0.028981924057006836 nb_pixel_total : 4902 time to create 1 rle with old method : 0.005566120147705078 time for calcul the mask position with numpy : 0.029009580612182617 nb_pixel_total : 13346 time to create 1 rle with old method : 0.015331745147705078 time for calcul the mask position with numpy : 0.028948068618774414 nb_pixel_total : 10902 time to create 1 rle with old method : 0.012208700180053711 time for calcul the mask position with numpy : 0.031060218811035156 nb_pixel_total : 12173 time to create 1 rle with old method : 0.019748687744140625 time for calcul the mask position with numpy : 0.033394813537597656 nb_pixel_total : 46596 time to create 1 rle with old method : 0.05433201789855957 time for calcul the mask position with numpy : 0.029955387115478516 nb_pixel_total : 122313 time to create 1 rle with old method : 0.13599538803100586 time for calcul the mask position with numpy : 0.028970718383789062 nb_pixel_total : 12913 time to create 1 rle with old method : 0.014359474182128906 time for calcul the mask position with numpy : 0.02906012535095215 nb_pixel_total : 22806 time to create 1 rle with old method : 0.025209426879882812 time for calcul the mask position with numpy : 0.028935909271240234 nb_pixel_total : 13609 time to create 1 rle with old method : 0.015254735946655273 time for calcul the mask position with numpy : 0.02923297882080078 nb_pixel_total : 30885 time to create 1 rle with old method : 0.03461289405822754 time for calcul the mask position with numpy : 0.0293428897857666 nb_pixel_total : 58308 time to create 1 rle with old method : 0.06450271606445312 time for calcul the mask position with numpy : 0.029551267623901367 nb_pixel_total : 69053 time to create 1 rle with old method : 0.07657480239868164 time for calcul the mask position with numpy : 0.03005504608154297 nb_pixel_total : 46313 time to create 1 rle with old method : 0.0512082576751709 time for calcul the mask position with numpy : 0.029140233993530273 nb_pixel_total : 30797 time to create 1 rle with old method : 0.03405880928039551 time for calcul the mask position with numpy : 0.029045581817626953 nb_pixel_total : 23755 time to create 1 rle with old method : 0.0264279842376709 time for calcul the mask position with numpy : 0.028915882110595703 nb_pixel_total : 5594 time to create 1 rle with old method : 0.006214618682861328 time for calcul the mask position with numpy : 0.02902960777282715 nb_pixel_total : 26034 time to create 1 rle with old method : 0.029080629348754883 time for calcul the mask position with numpy : 0.028851032257080078 nb_pixel_total : 7302 time to create 1 rle with old method : 0.008165597915649414 time for calcul the mask position with numpy : 0.029005050659179688 nb_pixel_total : 3894 time to create 1 rle with old method : 0.00449824333190918 time for calcul the mask position with numpy : 0.029003381729125977 nb_pixel_total : 4103 time to create 1 rle with old method : 0.004511356353759766 time for calcul the mask position with numpy : 0.029581308364868164 nb_pixel_total : 72959 time to create 1 rle with old method : 0.08136677742004395 time for calcul the mask position with numpy : 0.030045032501220703 nb_pixel_total : 12419 time to create 1 rle with old method : 0.013858318328857422 time for calcul the mask position with numpy : 0.028926372528076172 nb_pixel_total : 27694 time to create 1 rle with old method : 0.03080439567565918 create new chi : 3.876206398010254 time to delete rle : 0.0032968521118164062 batch 1 Loaded 89 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 20419 TO DO : save crop sub photo not yet done ! save time : 1.1488840579986572 nb_obj : 14 nb_hashtags : 4 time to prepare the origin masks : 5.302076578140259 time for calcul the mask position with numpy : 0.5403702259063721 nb_pixel_total : 6215879 time to create 1 rle with new method : 0.6082777976989746 time for calcul the mask position with numpy : 0.020931482315063477 nb_pixel_total : 18672 time to create 1 rle with old method : 0.021008968353271484 time for calcul the mask position with numpy : 0.02090144157409668 nb_pixel_total : 29184 time to create 1 rle with old method : 0.0332026481628418 time for calcul the mask position with numpy : 0.021524667739868164 nb_pixel_total : 57153 time to create 1 rle with old method : 0.06438708305358887 time for calcul the mask position with numpy : 0.02137303352355957 nb_pixel_total : 100180 time to create 1 rle with old method : 0.1119391918182373 time for calcul the mask position with numpy : 0.02280569076538086 nb_pixel_total : 13304 time to create 1 rle with old method : 0.015119552612304688 time for calcul the mask position with numpy : 0.04342317581176758 nb_pixel_total : 67313 time to create 1 rle with old method : 0.09087347984313965 time for calcul the mask position with numpy : 0.03656601905822754 nb_pixel_total : 64960 time to create 1 rle with old method : 0.07761287689208984 time for calcul the mask position with numpy : 0.03665328025817871 nb_pixel_total : 8541 time to create 1 rle with old method : 0.010043144226074219 time for calcul the mask position with numpy : 0.03424715995788574 nb_pixel_total : 14473 time to create 1 rle with old method : 0.01639413833618164 time for calcul the mask position with numpy : 0.03271675109863281 nb_pixel_total : 9642 time to create 1 rle with old method : 0.011364936828613281 time for calcul the mask position with numpy : 0.03386497497558594 nb_pixel_total : 16841 time to create 1 rle with old method : 0.01895451545715332 time for calcul the mask position with numpy : 0.03779411315917969 nb_pixel_total : 246863 time to create 1 rle with new method : 1.0220460891723633 time for calcul the mask position with numpy : 0.023553848266601562 nb_pixel_total : 39607 time to create 1 rle with old method : 0.04497718811035156 time for calcul the mask position with numpy : 0.02294325828552246 nb_pixel_total : 147628 time to create 1 rle with old method : 0.17867588996887207 create new chi : 3.331827163696289 time to delete rle : 0.001642465591430664 batch 1 Loaded 29 chid ids of type : 3594 +++++++++++++++++++Number RLEs to save : 11258 TO DO : save crop sub photo not yet done ! save time : 0.6704168319702148 nb_obj : 41 nb_hashtags : 4 time to prepare the origin masks : 4.471172571182251 time for calcul the mask position with numpy : 0.5329582691192627 nb_pixel_total : 5365047 time to create 1 rle with new method : 0.7081787586212158 time for calcul the mask position with numpy : 0.029973268508911133 nb_pixel_total : 15604 time to create 1 rle with old method : 0.017703771591186523 time for calcul the mask position with numpy : 0.029647350311279297 nb_pixel_total : 113841 time to create 1 rle with old method : 0.12537527084350586 time for calcul the mask position with numpy : 0.029160737991333008 nb_pixel_total : 36484 time to create 1 rle with old method : 0.04085540771484375 time for calcul the mask position with numpy : 0.032134294509887695 nb_pixel_total : 22955 time to create 1 rle with old method : 0.025590181350708008 time for calcul the mask position with numpy : 0.02869391441345215 nb_pixel_total : 23515 time to create 1 rle with old method : 0.028439998626708984 time for calcul the mask position with numpy : 0.029701948165893555 nb_pixel_total : 82966 time to create 1 rle with old method : 0.09233689308166504 time for calcul the mask position with numpy : 0.029302358627319336 nb_pixel_total : 75155 time to create 1 rle with old method : 0.08680367469787598 time for calcul the mask position with numpy : 0.029102087020874023 nb_pixel_total : 20339 time to create 1 rle with old method : 0.022729158401489258 time for calcul the mask position with numpy : 0.029377222061157227 nb_pixel_total : 29544 time to create 1 rle with old method : 0.03283095359802246 time for calcul the mask position with numpy : 0.029141664505004883 nb_pixel_total : 53166 time to create 1 rle with old method : 0.05885767936706543 time for calcul the mask position with numpy : 0.02899646759033203 nb_pixel_total : 19780 time to create 1 rle with old method : 0.02199530601501465 time for calcul the mask position with numpy : 0.028856754302978516 nb_pixel_total : 43846 time to create 1 rle with old method : 0.048569679260253906 time for calcul the mask position with numpy : 0.028871536254882812 nb_pixel_total : 18589 time to create 1 rle with old method : 0.0207064151763916 time for calcul the mask position with numpy : 0.029192209243774414 nb_pixel_total : 45209 time to create 1 rle with old method : 0.05007576942443848 time for calcul the mask position with numpy : 0.029441356658935547 nb_pixel_total : 38844 time to create 1 rle with old method : 0.0441279411315918 time for calcul the mask position with numpy : 0.030561208724975586 nb_pixel_total : 41583 time to create 1 rle with old method : 0.046976327896118164 time for calcul the mask position with numpy : 0.02930164337158203 nb_pixel_total : 29096 time to create 1 rle with old method : 0.04166865348815918 time for calcul the mask position with numpy : 0.032807111740112305 nb_pixel_total : 35630 time to create 1 rle with old method : 0.04531741142272949 time for calcul the mask position with numpy : 0.03272199630737305 nb_pixel_total : 50818 time to create 1 rle with old method : 0.07062649726867676 time for calcul the mask position with numpy : 0.028919219970703125 nb_pixel_total : 42679 time to create 1 rle with old method : 0.0472257137298584 time for calcul the mask position with numpy : 0.029702425003051758 nb_pixel_total : 105356 time to create 1 rle with old method : 0.11799263954162598 time for calcul the mask position with numpy : 0.029099702835083008 nb_pixel_total : 15762 time to create 1 rle with old method : 0.017516613006591797 time for calcul the mask position with numpy : 0.02925729751586914 nb_pixel_total : 35604 time to create 1 rle with old method : 0.03968167304992676 time for calcul the mask position with numpy : 0.028972625732421875 nb_pixel_total : 11215 time to create 1 rle with old method : 0.01257014274597168 time for calcul the mask position with numpy : 0.028975725173950195 nb_pixel_total : 56013 time to create 1 rle with old method : 0.06260561943054199 time for calcul the mask position with numpy : 0.028681278228759766 nb_pixel_total : 22700 time to create 1 rle with old method : 0.02782154083251953 time for calcul the mask position with numpy : 0.029006004333496094 nb_pixel_total : 1978 time to create 1 rle with old method : 0.002317190170288086 time for calcul the mask position with numpy : 0.029248714447021484 nb_pixel_total : 54627 time to create 1 rle with old method : 0.060605525970458984 time for calcul the mask position with numpy : 0.028878450393676758 nb_pixel_total : 44194 time to create 1 rle with old method : 0.049303531646728516 time for calcul the mask position with numpy : 0.029068946838378906 nb_pixel_total : 67154 time to create 1 rle with old method : 0.07617592811584473 time for calcul the mask position with numpy : 0.03094005584716797 nb_pixel_total : 121006 time to create 1 rle with old method : 0.15924859046936035 time for calcul the mask position with numpy : 0.03296804428100586 nb_pixel_total : 17170 time to create 1 rle with old method : 0.022920608520507812 time for calcul the mask position with numpy : 0.029279232025146484 nb_pixel_total : 10051 time to create 1 rle with old method : 0.011835098266601562 time for calcul the mask position with numpy : 0.029250144958496094 nb_pixel_total : 18588 time to create 1 rle with old method : 0.02788710594177246 time for calcul the mask position with numpy : 0.035860538482666016 nb_pixel_total : 24236 time to create 1 rle with old method : 0.033922433853149414 time for calcul the mask position with numpy : 0.02936100959777832 nb_pixel_total : 32820 time to create 1 rle with old method : 0.036679744720458984 time for calcul the mask position with numpy : 0.029628276824951172 nb_pixel_total : 30998 time to create 1 rle with old method : 0.0342559814453125 time for calcul the mask position with numpy : 0.029778242111206055 nb_pixel_total : 69522 time to create 1 rle with old method : 0.07657623291015625 time for calcul the mask position with numpy : 0.02953338623046875 nb_pixel_total : 49239 time to create 1 rle with old method : 0.05478692054748535 time for calcul the mask position with numpy : 0.02991175651550293 nb_pixel_total : 44582 time to create 1 rle with old method : 0.050727128982543945 time for calcul the mask position with numpy : 0.03435015678405762 nb_pixel_total : 12735 time to create 1 rle with old method : 0.01501011848449707 create new chi : 4.464707136154175 time to delete rle : 0.005112409591674805 batch 1 Loaded 83 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 23210 TO DO : save crop sub photo not yet done ! save time : 1.3424384593963623 nb_obj : 41 nb_hashtags : 3 time to prepare the origin masks : 3.99853515625 time for calcul the mask position with numpy : 0.47190427780151367 nb_pixel_total : 5793274 time to create 1 rle with new method : 0.9133708477020264 time for calcul the mask position with numpy : 0.028421640396118164 nb_pixel_total : 6091 time to create 1 rle with old method : 0.006877422332763672 time for calcul the mask position with numpy : 0.02924489974975586 nb_pixel_total : 7994 time to create 1 rle with old method : 0.011910200119018555 time for calcul the mask position with numpy : 0.030759572982788086 nb_pixel_total : 23334 time to create 1 rle with old method : 0.031157732009887695 time for calcul the mask position with numpy : 0.02954244613647461 nb_pixel_total : 24111 time to create 1 rle with old method : 0.028697729110717773 time for calcul the mask position with numpy : 0.03028559684753418 nb_pixel_total : 20265 time to create 1 rle with old method : 0.022688865661621094 time for calcul the mask position with numpy : 0.029251575469970703 nb_pixel_total : 39444 time to create 1 rle with old method : 0.05013084411621094 time for calcul the mask position with numpy : 0.03065967559814453 nb_pixel_total : 41939 time to create 1 rle with old method : 0.04665422439575195 time for calcul the mask position with numpy : 0.03454089164733887 nb_pixel_total : 40759 time to create 1 rle with old method : 0.045191049575805664 time for calcul the mask position with numpy : 0.0300445556640625 nb_pixel_total : 28812 time to create 1 rle with old method : 0.03491616249084473 time for calcul the mask position with numpy : 0.03403115272521973 nb_pixel_total : 15223 time to create 1 rle with old method : 0.02963709831237793 time for calcul the mask position with numpy : 0.03547048568725586 nb_pixel_total : 21167 time to create 1 rle with old method : 0.024449825286865234 time for calcul the mask position with numpy : 0.029883623123168945 nb_pixel_total : 4512 time to create 1 rle with old method : 0.0051250457763671875 time for calcul the mask position with numpy : 0.030310392379760742 nb_pixel_total : 18731 time to create 1 rle with old method : 0.020900487899780273 time for calcul the mask position with numpy : 0.03459501266479492 nb_pixel_total : 160877 time to create 1 rle with new method : 0.48076701164245605 time for calcul the mask position with numpy : 0.02941751480102539 nb_pixel_total : 34212 time to create 1 rle with old method : 0.03820919990539551 time for calcul the mask position with numpy : 0.029519319534301758 nb_pixel_total : 14318 time to create 1 rle with old method : 0.01644134521484375 time for calcul the mask position with numpy : 0.029331684112548828 nb_pixel_total : 14167 time to create 1 rle with old method : 0.01746678352355957 time for calcul the mask position with numpy : 0.03183174133300781 nb_pixel_total : 48102 time to create 1 rle with old method : 0.05374574661254883 time for calcul the mask position with numpy : 0.029749155044555664 nb_pixel_total : 21633 time to create 1 rle with old method : 0.024120569229125977 time for calcul the mask position with numpy : 0.030493497848510742 nb_pixel_total : 46937 time to create 1 rle with old method : 0.052474021911621094 time for calcul the mask position with numpy : 0.029028654098510742 nb_pixel_total : 20930 time to create 1 rle with old method : 0.024536848068237305 time for calcul the mask position with numpy : 0.0342869758605957 nb_pixel_total : 55666 time to create 1 rle with old method : 0.07615351676940918 time for calcul the mask position with numpy : 0.029135704040527344 nb_pixel_total : 42040 time to create 1 rle with old method : 0.04671812057495117 time for calcul the mask position with numpy : 0.02968430519104004 nb_pixel_total : 10074 time to create 1 rle with old method : 0.011494874954223633 time for calcul the mask position with numpy : 0.029491186141967773 nb_pixel_total : 44601 time to create 1 rle with old method : 0.05132913589477539 time for calcul the mask position with numpy : 0.029315710067749023 nb_pixel_total : 22768 time to create 1 rle with old method : 0.0387578010559082 time for calcul the mask position with numpy : 0.03407430648803711 nb_pixel_total : 11183 time to create 1 rle with old method : 0.01852560043334961 time for calcul the mask position with numpy : 0.03494691848754883 nb_pixel_total : 157891 time to create 1 rle with new method : 0.5984714031219482 time for calcul the mask position with numpy : 0.02922534942626953 nb_pixel_total : 456 time to create 1 rle with old method : 0.0007793903350830078 time for calcul the mask position with numpy : 0.029559612274169922 nb_pixel_total : 9608 time to create 1 rle with old method : 0.010846614837646484 time for calcul the mask position with numpy : 0.030923128128051758 nb_pixel_total : 32846 time to create 1 rle with old method : 0.036879539489746094 time for calcul the mask position with numpy : 0.02913641929626465 nb_pixel_total : 23991 time to create 1 rle with old method : 0.026840925216674805 time for calcul the mask position with numpy : 0.029122352600097656 nb_pixel_total : 47811 time to create 1 rle with old method : 0.05704808235168457 time for calcul the mask position with numpy : 0.032820940017700195 nb_pixel_total : 6377 time to create 1 rle with old method : 0.010408639907836914 time for calcul the mask position with numpy : 0.03246879577636719 nb_pixel_total : 46259 time to create 1 rle with old method : 0.05182600021362305 time for calcul the mask position with numpy : 0.029056549072265625 nb_pixel_total : 9532 time to create 1 rle with old method : 0.010694503784179688 time for calcul the mask position with numpy : 0.028872966766357422 nb_pixel_total : 4416 time to create 1 rle with old method : 0.0051233768463134766 time for calcul the mask position with numpy : 0.029026269912719727 nb_pixel_total : 39265 time to create 1 rle with old method : 0.043729305267333984 time for calcul the mask position with numpy : 0.028921842575073242 nb_pixel_total : 20700 time to create 1 rle with old method : 0.023324012756347656 time for calcul the mask position with numpy : 0.02901744842529297 nb_pixel_total : 11776 time to create 1 rle with old method : 0.013347148895263672 time for calcul the mask position with numpy : 0.02890801429748535 nb_pixel_total : 6148 time to create 1 rle with old method : 0.007079124450683594 create new chi : 4.9281394481658936 time to delete rle : 0.005018472671508789 batch 1 Loaded 83 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 20485 TO DO : save crop sub photo not yet done ! save time : 1.2328217029571533 nb_obj : 29 nb_hashtags : 4 time to prepare the origin masks : 3.9774632453918457 time for calcul the mask position with numpy : 0.36046886444091797 nb_pixel_total : 5792994 time to create 1 rle with new method : 0.733954668045044 time for calcul the mask position with numpy : 0.029024124145507812 nb_pixel_total : 18645 time to create 1 rle with old method : 0.020638227462768555 time for calcul the mask position with numpy : 0.029012203216552734 nb_pixel_total : 22900 time to create 1 rle with old method : 0.02448296546936035 time for calcul the mask position with numpy : 0.02938556671142578 nb_pixel_total : 25592 time to create 1 rle with old method : 0.028023958206176758 time for calcul the mask position with numpy : 0.029878854751586914 nb_pixel_total : 226440 time to create 1 rle with new method : 0.5541987419128418 time for calcul the mask position with numpy : 0.028104543685913086 nb_pixel_total : 27419 time to create 1 rle with old method : 0.02964925765991211 time for calcul the mask position with numpy : 0.028824806213378906 nb_pixel_total : 106077 time to create 1 rle with old method : 0.11354637145996094 time for calcul the mask position with numpy : 0.027835845947265625 nb_pixel_total : 11777 time to create 1 rle with old method : 0.013167381286621094 time for calcul the mask position with numpy : 0.028023719787597656 nb_pixel_total : 18160 time to create 1 rle with old method : 0.0205075740814209 time for calcul the mask position with numpy : 0.028966665267944336 nb_pixel_total : 28503 time to create 1 rle with old method : 0.03205108642578125 time for calcul the mask position with numpy : 0.0291900634765625 nb_pixel_total : 34951 time to create 1 rle with old method : 0.04017949104309082 time for calcul the mask position with numpy : 0.029460668563842773 nb_pixel_total : 21933 time to create 1 rle with old method : 0.02504110336303711 time for calcul the mask position with numpy : 0.0284731388092041 nb_pixel_total : 18372 time to create 1 rle with old method : 0.02093958854675293 time for calcul the mask position with numpy : 0.029116392135620117 nb_pixel_total : 29378 time to create 1 rle with old method : 0.03265500068664551 time for calcul the mask position with numpy : 0.028716087341308594 nb_pixel_total : 13535 time to create 1 rle with old method : 0.01528310775756836 time for calcul the mask position with numpy : 0.029125690460205078 nb_pixel_total : 29699 time to create 1 rle with old method : 0.03405261039733887 time for calcul the mask position with numpy : 0.030946016311645508 nb_pixel_total : 46814 time to create 1 rle with old method : 0.05310511589050293 time for calcul the mask position with numpy : 0.028972148895263672 nb_pixel_total : 96802 time to create 1 rle with old method : 0.10831642150878906 time for calcul the mask position with numpy : 0.02894735336303711 nb_pixel_total : 48784 time to create 1 rle with old method : 0.054967641830444336 time for calcul the mask position with numpy : 0.02900552749633789 nb_pixel_total : 33534 time to create 1 rle with old method : 0.037967681884765625 time for calcul the mask position with numpy : 0.029204368591308594 nb_pixel_total : 30284 time to create 1 rle with old method : 0.033759355545043945 time for calcul the mask position with numpy : 0.028769493103027344 nb_pixel_total : 22256 time to create 1 rle with old method : 0.024478912353515625 time for calcul the mask position with numpy : 0.0288240909576416 nb_pixel_total : 30970 time to create 1 rle with old method : 0.0340883731842041 time for calcul the mask position with numpy : 0.0288693904876709 nb_pixel_total : 74389 time to create 1 rle with old method : 0.08040046691894531 time for calcul the mask position with numpy : 0.029540300369262695 nb_pixel_total : 105604 time to create 1 rle with old method : 0.11490964889526367 time for calcul the mask position with numpy : 0.029201507568359375 nb_pixel_total : 85470 time to create 1 rle with old method : 0.11970782279968262 time for calcul the mask position with numpy : 0.027586936950683594 nb_pixel_total : 11075 time to create 1 rle with old method : 0.011780977249145508 time for calcul the mask position with numpy : 0.027181148529052734 nb_pixel_total : 22029 time to create 1 rle with old method : 0.0231781005859375 time for calcul the mask position with numpy : 0.0272214412689209 nb_pixel_total : 8164 time to create 1 rle with old method : 0.008507013320922852 time for calcul the mask position with numpy : 0.0289764404296875 nb_pixel_total : 7690 time to create 1 rle with old method : 0.008540868759155273 create new chi : 3.7096779346466064 time to delete rle : 0.0024971961975097656 batch 1 Loaded 59 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 16663 TO DO : save crop sub photo not yet done ! save time : 1.0493721961975098 nb_obj : 30 nb_hashtags : 4 time to prepare the origin masks : 3.6956050395965576 time for calcul the mask position with numpy : 0.4067709445953369 nb_pixel_total : 6012018 time to create 1 rle with new method : 0.636544942855835 time for calcul the mask position with numpy : 0.03221392631530762 nb_pixel_total : 163468 time to create 1 rle with new method : 0.5605919361114502 time for calcul the mask position with numpy : 0.028194904327392578 nb_pixel_total : 24554 time to create 1 rle with old method : 0.026481151580810547 time for calcul the mask position with numpy : 0.027204275131225586 nb_pixel_total : 15494 time to create 1 rle with old method : 0.01634955406188965 time for calcul the mask position with numpy : 0.026911258697509766 nb_pixel_total : 22111 time to create 1 rle with old method : 0.022861242294311523 time for calcul the mask position with numpy : 0.02835679054260254 nb_pixel_total : 39003 time to create 1 rle with old method : 0.042421817779541016 time for calcul the mask position with numpy : 0.02767634391784668 nb_pixel_total : 16337 time to create 1 rle with old method : 0.017372608184814453 time for calcul the mask position with numpy : 0.027701377868652344 nb_pixel_total : 58785 time to create 1 rle with old method : 0.06154584884643555 time for calcul the mask position with numpy : 0.026879310607910156 nb_pixel_total : 23872 time to create 1 rle with old method : 0.025836467742919922 time for calcul the mask position with numpy : 0.02813720703125 nb_pixel_total : 40344 time to create 1 rle with old method : 0.04279041290283203 time for calcul the mask position with numpy : 0.02752065658569336 nb_pixel_total : 12310 time to create 1 rle with old method : 0.013355731964111328 time for calcul the mask position with numpy : 0.027462244033813477 nb_pixel_total : 28015 time to create 1 rle with old method : 0.030130386352539062 time for calcul the mask position with numpy : 0.027863502502441406 nb_pixel_total : 48299 time to create 1 rle with old method : 0.05296897888183594 time for calcul the mask position with numpy : 0.028388023376464844 nb_pixel_total : 85860 time to create 1 rle with old method : 0.08990764617919922 time for calcul the mask position with numpy : 0.027945756912231445 nb_pixel_total : 28991 time to create 1 rle with old method : 0.03186202049255371 time for calcul the mask position with numpy : 0.027553558349609375 nb_pixel_total : 32344 time to create 1 rle with old method : 0.03472161293029785 time for calcul the mask position with numpy : 0.027296066284179688 nb_pixel_total : 13589 time to create 1 rle with old method : 0.014428138732910156 time for calcul the mask position with numpy : 0.028136014938354492 nb_pixel_total : 61931 time to create 1 rle with old method : 0.06698226928710938 time for calcul the mask position with numpy : 0.02801990509033203 nb_pixel_total : 10523 time to create 1 rle with old method : 0.011574983596801758 time for calcul the mask position with numpy : 0.02860093116760254 nb_pixel_total : 51780 time to create 1 rle with old method : 0.05700325965881348 time for calcul the mask position with numpy : 0.028006315231323242 nb_pixel_total : 25484 time to create 1 rle with old method : 0.027781248092651367 time for calcul the mask position with numpy : 0.02836465835571289 nb_pixel_total : 14755 time to create 1 rle with old method : 0.01627945899963379 time for calcul the mask position with numpy : 0.028279542922973633 nb_pixel_total : 44952 time to create 1 rle with old method : 0.047844648361206055 time for calcul the mask position with numpy : 0.02833271026611328 nb_pixel_total : 11849 time to create 1 rle with old method : 0.012653827667236328 time for calcul the mask position with numpy : 0.028464555740356445 nb_pixel_total : 4869 time to create 1 rle with old method : 0.0055561065673828125 time for calcul the mask position with numpy : 0.028396129608154297 nb_pixel_total : 57120 time to create 1 rle with old method : 0.06294798851013184 time for calcul the mask position with numpy : 0.027751445770263672 nb_pixel_total : 6786 time to create 1 rle with old method : 0.007390499114990234 time for calcul the mask position with numpy : 0.028275489807128906 nb_pixel_total : 5925 time to create 1 rle with old method : 0.006476402282714844 time for calcul the mask position with numpy : 0.02794194221496582 nb_pixel_total : 5916 time to create 1 rle with old method : 0.0066263675689697266 time for calcul the mask position with numpy : 0.02870488166809082 nb_pixel_total : 56279 time to create 1 rle with old method : 0.06130051612854004 time for calcul the mask position with numpy : 0.028350353240966797 nb_pixel_total : 26677 time to create 1 rle with old method : 0.029532909393310547 create new chi : 3.445329189300537 time to delete rle : 0.002621889114379883 batch 1 Loaded 61 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 17540 TO DO : save crop sub photo not yet done ! save time : 1.1045820713043213 nb_obj : 9 nb_hashtags : 2 time to prepare the origin masks : 4.075049638748169 time for calcul the mask position with numpy : 0.5442140102386475 nb_pixel_total : 6892551 time to create 1 rle with new method : 0.6232800483703613 time for calcul the mask position with numpy : 0.03420066833496094 nb_pixel_total : 30300 time to create 1 rle with old method : 0.03299379348754883 time for calcul the mask position with numpy : 0.03760504722595215 nb_pixel_total : 16152 time to create 1 rle with old method : 0.027072906494140625 time for calcul the mask position with numpy : 0.04313492774963379 nb_pixel_total : 22369 time to create 1 rle with old method : 0.027493715286254883 time for calcul the mask position with numpy : 0.03520917892456055 nb_pixel_total : 14047 time to create 1 rle with old method : 0.017685651779174805 time for calcul the mask position with numpy : 0.03498506546020508 nb_pixel_total : 15004 time to create 1 rle with old method : 0.01647472381591797 time for calcul the mask position with numpy : 0.021624088287353516 nb_pixel_total : 21772 time to create 1 rle with old method : 0.023761272430419922 time for calcul the mask position with numpy : 0.020997047424316406 nb_pixel_total : 11814 time to create 1 rle with old method : 0.012978315353393555 time for calcul the mask position with numpy : 0.022874832153320312 nb_pixel_total : 15880 time to create 1 rle with old method : 0.017339468002319336 time for calcul the mask position with numpy : 0.02071833610534668 nb_pixel_total : 10351 time to create 1 rle with old method : 0.011522531509399414 create new chi : 1.6604313850402832 time to delete rle : 0.0011806488037109375 batch 1 Loaded 19 chid ids of type : 3594 ++++++++++++Number RLEs to save : 5072 TO DO : save crop sub photo not yet done ! save time : 0.3847076892852783 nb_obj : 28 nb_hashtags : 3 time to prepare the origin masks : 4.009091377258301 time for calcul the mask position with numpy : 0.6207492351531982 nb_pixel_total : 5922391 time to create 1 rle with new method : 0.7627794742584229 time for calcul the mask position with numpy : 0.030669689178466797 nb_pixel_total : 146140 time to create 1 rle with old method : 0.18174481391906738 time for calcul the mask position with numpy : 0.028623104095458984 nb_pixel_total : 23883 time to create 1 rle with old method : 0.02612614631652832 time for calcul the mask position with numpy : 0.028406858444213867 nb_pixel_total : 24560 time to create 1 rle with old method : 0.027492761611938477 time for calcul the mask position with numpy : 0.030642032623291016 nb_pixel_total : 21596 time to create 1 rle with old method : 0.035468101501464844 time for calcul the mask position with numpy : 0.03266096115112305 nb_pixel_total : 38422 time to create 1 rle with old method : 0.04240727424621582 time for calcul the mask position with numpy : 0.028852462768554688 nb_pixel_total : 42794 time to create 1 rle with old method : 0.04732227325439453 time for calcul the mask position with numpy : 0.027657270431518555 nb_pixel_total : 2289 time to create 1 rle with old method : 0.002552509307861328 time for calcul the mask position with numpy : 0.02829766273498535 nb_pixel_total : 33632 time to create 1 rle with old method : 0.03719663619995117 time for calcul the mask position with numpy : 0.028743982315063477 nb_pixel_total : 11525 time to create 1 rle with old method : 0.01277780532836914 time for calcul the mask position with numpy : 0.029008150100708008 nb_pixel_total : 31756 time to create 1 rle with old method : 0.03475356101989746 time for calcul the mask position with numpy : 0.028661251068115234 nb_pixel_total : 55700 time to create 1 rle with old method : 0.059374094009399414 time for calcul the mask position with numpy : 0.028164148330688477 nb_pixel_total : 83182 time to create 1 rle with old method : 0.0895547866821289 time for calcul the mask position with numpy : 0.028455734252929688 nb_pixel_total : 22372 time to create 1 rle with old method : 0.02408909797668457 time for calcul the mask position with numpy : 0.02823472023010254 nb_pixel_total : 34382 time to create 1 rle with old method : 0.03797626495361328 time for calcul the mask position with numpy : 0.0279085636138916 nb_pixel_total : 5876 time to create 1 rle with old method : 0.006392478942871094 time for calcul the mask position with numpy : 0.028301239013671875 nb_pixel_total : 122103 time to create 1 rle with old method : 0.13430237770080566 time for calcul the mask position with numpy : 0.02953791618347168 nb_pixel_total : 7882 time to create 1 rle with old method : 0.009056806564331055 time for calcul the mask position with numpy : 0.030176877975463867 nb_pixel_total : 35678 time to create 1 rle with old method : 0.0391080379486084 time for calcul the mask position with numpy : 0.028657197952270508 nb_pixel_total : 31370 time to create 1 rle with old method : 0.0340266227722168 time for calcul the mask position with numpy : 0.028078794479370117 nb_pixel_total : 47054 time to create 1 rle with old method : 0.050350189208984375 time for calcul the mask position with numpy : 0.028978586196899414 nb_pixel_total : 29661 time to create 1 rle with old method : 0.03196120262145996 time for calcul the mask position with numpy : 0.027736186981201172 nb_pixel_total : 82537 time to create 1 rle with old method : 0.0908195972442627 time for calcul the mask position with numpy : 0.028965234756469727 nb_pixel_total : 11364 time to create 1 rle with old method : 0.012735843658447266 time for calcul the mask position with numpy : 0.029149532318115234 nb_pixel_total : 60514 time to create 1 rle with old method : 0.06826353073120117 time for calcul the mask position with numpy : 0.02940511703491211 nb_pixel_total : 7406 time to create 1 rle with old method : 0.008335113525390625 time for calcul the mask position with numpy : 0.028957128524780273 nb_pixel_total : 13064 time to create 1 rle with old method : 0.01479029655456543 time for calcul the mask position with numpy : 0.028979778289794922 nb_pixel_total : 77743 time to create 1 rle with old method : 0.0856020450592041 time for calcul the mask position with numpy : 0.029224157333374023 nb_pixel_total : 23364 time to create 1 rle with old method : 0.02602696418762207 create new chi : 3.501734495162964 time to delete rle : 0.002757549285888672 batch 1 Loaded 57 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++Number RLEs to save : 16417 TO DO : save crop sub photo not yet done ! save time : 1.072056770324707 nb_obj : 31 nb_hashtags : 5 time to prepare the origin masks : 3.74189829826355 time for calcul the mask position with numpy : 0.33887290954589844 nb_pixel_total : 6199556 time to create 1 rle with new method : 0.6352226734161377 time for calcul the mask position with numpy : 0.029123544692993164 nb_pixel_total : 11452 time to create 1 rle with old method : 0.012744903564453125 time for calcul the mask position with numpy : 0.02924060821533203 nb_pixel_total : 18412 time to create 1 rle with old method : 0.020462751388549805 time for calcul the mask position with numpy : 0.029228925704956055 nb_pixel_total : 23576 time to create 1 rle with old method : 0.02651357650756836 time for calcul the mask position with numpy : 0.02910757064819336 nb_pixel_total : 11149 time to create 1 rle with old method : 0.012734651565551758 time for calcul the mask position with numpy : 0.03302335739135742 nb_pixel_total : 30675 time to create 1 rle with old method : 0.05008745193481445 time for calcul the mask position with numpy : 0.031584739685058594 nb_pixel_total : 14109 time to create 1 rle with old method : 0.015735387802124023 time for calcul the mask position with numpy : 0.029006004333496094 nb_pixel_total : 18767 time to create 1 rle with old method : 0.02237725257873535 time for calcul the mask position with numpy : 0.03141474723815918 nb_pixel_total : 18603 time to create 1 rle with old method : 0.02084517478942871 time for calcul the mask position with numpy : 0.029498815536499023 nb_pixel_total : 33798 time to create 1 rle with old method : 0.03769731521606445 time for calcul the mask position with numpy : 0.029419898986816406 nb_pixel_total : 50864 time to create 1 rle with old method : 0.05925726890563965 time for calcul the mask position with numpy : 0.032140254974365234 nb_pixel_total : 17693 time to create 1 rle with old method : 0.019773244857788086 time for calcul the mask position with numpy : 0.029262542724609375 nb_pixel_total : 75779 time to create 1 rle with old method : 0.08600115776062012 time for calcul the mask position with numpy : 0.028951406478881836 nb_pixel_total : 18589 time to create 1 rle with old method : 0.020910024642944336 time for calcul the mask position with numpy : 0.029296159744262695 nb_pixel_total : 89601 time to create 1 rle with old method : 0.10062980651855469 time for calcul the mask position with numpy : 0.03199601173400879 nb_pixel_total : 28972 time to create 1 rle with old method : 0.04828166961669922 time for calcul the mask position with numpy : 0.03368878364562988 nb_pixel_total : 16723 time to create 1 rle with old method : 0.019568920135498047 time for calcul the mask position with numpy : 0.02935028076171875 nb_pixel_total : 36890 time to create 1 rle with old method : 0.04104113578796387 time for calcul the mask position with numpy : 0.02873516082763672 nb_pixel_total : 23174 time to create 1 rle with old method : 0.03824019432067871 time for calcul the mask position with numpy : 0.032807111740112305 nb_pixel_total : 18974 time to create 1 rle with old method : 0.021155357360839844 time for calcul the mask position with numpy : 0.029240131378173828 nb_pixel_total : 70632 time to create 1 rle with old method : 0.07907795906066895 time for calcul the mask position with numpy : 0.03042125701904297 nb_pixel_total : 29318 time to create 1 rle with old method : 0.03262186050415039 time for calcul the mask position with numpy : 0.03114175796508789 nb_pixel_total : 8307 time to create 1 rle with old method : 0.009321212768554688 time for calcul the mask position with numpy : 0.029523849487304688 nb_pixel_total : 54978 time to create 1 rle with old method : 0.06142258644104004 time for calcul the mask position with numpy : 0.02931833267211914 nb_pixel_total : 14555 time to create 1 rle with old method : 0.01631903648376465 time for calcul the mask position with numpy : 0.029200315475463867 nb_pixel_total : 10361 time to create 1 rle with old method : 0.011536836624145508 time for calcul the mask position with numpy : 0.030437946319580078 nb_pixel_total : 51744 time to create 1 rle with old method : 0.0597381591796875 time for calcul the mask position with numpy : 0.02917337417602539 nb_pixel_total : 12165 time to create 1 rle with old method : 0.013350963592529297 time for calcul the mask position with numpy : 0.028860092163085938 nb_pixel_total : 18492 time to create 1 rle with old method : 0.019924402236938477 time for calcul the mask position with numpy : 0.02853703498840332 nb_pixel_total : 8126 time to create 1 rle with old method : 0.008824825286865234 time for calcul the mask position with numpy : 0.02817535400390625 nb_pixel_total : 8038 time to create 1 rle with old method : 0.008874654769897461 time for calcul the mask position with numpy : 0.0286865234375 nb_pixel_total : 6168 time to create 1 rle with old method : 0.00691533088684082 create new chi : 2.941927909851074 time to delete rle : 0.0025522708892822266 batch 1 Loaded 63 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 16184 TO DO : save crop sub photo not yet done ! save time : 0.9878582954406738 nb_obj : 40 nb_hashtags : 5 time to prepare the origin masks : 3.974242925643921 time for calcul the mask position with numpy : 0.4428226947784424 nb_pixel_total : 6042519 time to create 1 rle with new method : 0.6989090442657471 time for calcul the mask position with numpy : 0.028784990310668945 nb_pixel_total : 12647 time to create 1 rle with old method : 0.01418304443359375 time for calcul the mask position with numpy : 0.02909374237060547 nb_pixel_total : 8168 time to create 1 rle with old method : 0.009193181991577148 time for calcul the mask position with numpy : 0.028921842575073242 nb_pixel_total : 31988 time to create 1 rle with old method : 0.03593850135803223 time for calcul the mask position with numpy : 0.029130935668945312 nb_pixel_total : 25823 time to create 1 rle with old method : 0.0287322998046875 time for calcul the mask position with numpy : 0.03139305114746094 nb_pixel_total : 18797 time to create 1 rle with old method : 0.029708385467529297 time for calcul the mask position with numpy : 0.033113956451416016 nb_pixel_total : 9278 time to create 1 rle with old method : 0.013770341873168945 time for calcul the mask position with numpy : 0.029666662216186523 nb_pixel_total : 22421 time to create 1 rle with old method : 0.024489879608154297 time for calcul the mask position with numpy : 0.028310775756835938 nb_pixel_total : 11712 time to create 1 rle with old method : 0.012944936752319336 time for calcul the mask position with numpy : 0.02864360809326172 nb_pixel_total : 5877 time to create 1 rle with old method : 0.006678581237792969 time for calcul the mask position with numpy : 0.02907872200012207 nb_pixel_total : 26448 time to create 1 rle with old method : 0.0288999080657959 time for calcul the mask position with numpy : 0.02898240089416504 nb_pixel_total : 68509 time to create 1 rle with old method : 0.07537508010864258 time for calcul the mask position with numpy : 0.029099702835083008 nb_pixel_total : 13056 time to create 1 rle with old method : 0.014659404754638672 time for calcul the mask position with numpy : 0.029253482818603516 nb_pixel_total : 23500 time to create 1 rle with old method : 0.03763151168823242 time for calcul the mask position with numpy : 0.03315591812133789 nb_pixel_total : 18824 time to create 1 rle with old method : 0.025869131088256836 time for calcul the mask position with numpy : 0.029608964920043945 nb_pixel_total : 21038 time to create 1 rle with old method : 0.02514815330505371 time for calcul the mask position with numpy : 0.028409242630004883 nb_pixel_total : 63745 time to create 1 rle with old method : 0.06971573829650879 time for calcul the mask position with numpy : 0.02863144874572754 nb_pixel_total : 33469 time to create 1 rle with old method : 0.03637361526489258 time for calcul the mask position with numpy : 0.02903294563293457 nb_pixel_total : 35626 time to create 1 rle with old method : 0.03949093818664551 time for calcul the mask position with numpy : 0.02831721305847168 nb_pixel_total : 17685 time to create 1 rle with old method : 0.019429445266723633 time for calcul the mask position with numpy : 0.028493881225585938 nb_pixel_total : 15520 time to create 1 rle with old method : 0.01676344871520996 time for calcul the mask position with numpy : 0.02815842628479004 nb_pixel_total : 37968 time to create 1 rle with old method : 0.04369974136352539 time for calcul the mask position with numpy : 0.029181718826293945 nb_pixel_total : 93386 time to create 1 rle with old method : 0.10254216194152832 time for calcul the mask position with numpy : 0.03051304817199707 nb_pixel_total : 34767 time to create 1 rle with old method : 0.038681745529174805 time for calcul the mask position with numpy : 0.028896808624267578 nb_pixel_total : 18077 time to create 1 rle with old method : 0.01961374282836914 time for calcul the mask position with numpy : 0.02817559242248535 nb_pixel_total : 24496 time to create 1 rle with old method : 0.027071475982666016 time for calcul the mask position with numpy : 0.028459787368774414 nb_pixel_total : 26276 time to create 1 rle with old method : 0.028858661651611328 time for calcul the mask position with numpy : 0.028470277786254883 nb_pixel_total : 34638 time to create 1 rle with old method : 0.03837156295776367 time for calcul the mask position with numpy : 0.028879404067993164 nb_pixel_total : 17349 time to create 1 rle with old method : 0.019484758377075195 time for calcul the mask position with numpy : 0.02906346321105957 nb_pixel_total : 81105 time to create 1 rle with old method : 0.09050941467285156 time for calcul the mask position with numpy : 0.02832341194152832 nb_pixel_total : 9145 time to create 1 rle with old method : 0.010222911834716797 time for calcul the mask position with numpy : 0.02843952178955078 nb_pixel_total : 21844 time to create 1 rle with old method : 0.023784875869750977 time for calcul the mask position with numpy : 0.02840447425842285 nb_pixel_total : 10972 time to create 1 rle with old method : 0.012115955352783203 time for calcul the mask position with numpy : 0.028216838836669922 nb_pixel_total : 14059 time to create 1 rle with old method : 0.015215873718261719 time for calcul the mask position with numpy : 0.028210163116455078 nb_pixel_total : 15409 time to create 1 rle with old method : 0.016794204711914062 time for calcul the mask position with numpy : 0.02855706214904785 nb_pixel_total : 41928 time to create 1 rle with old method : 0.04612612724304199 time for calcul the mask position with numpy : 0.028896570205688477 nb_pixel_total : 8297 time to create 1 rle with old method : 0.008963346481323242 time for calcul the mask position with numpy : 0.02838730812072754 nb_pixel_total : 6436 time to create 1 rle with old method : 0.00716400146484375 time for calcul the mask position with numpy : 0.02859973907470703 nb_pixel_total : 8151 time to create 1 rle with old method : 0.008872747421264648 time for calcul the mask position with numpy : 0.028379440307617188 nb_pixel_total : 7646 time to create 1 rle with old method : 0.008236169815063477 time for calcul the mask position with numpy : 0.027903318405151367 nb_pixel_total : 11641 time to create 1 rle with old method : 0.012191057205200195 create new chi : 3.483104944229126 time to delete rle : 0.0032036304473876953 batch 1 Loaded 81 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 19054 TO DO : save crop sub photo not yet done ! save time : 1.2411227226257324 nb_obj : 40 nb_hashtags : 5 time to prepare the origin masks : 3.900055170059204 time for calcul the mask position with numpy : 0.41475629806518555 nb_pixel_total : 5868924 time to create 1 rle with new method : 0.5802254676818848 time for calcul the mask position with numpy : 0.028257131576538086 nb_pixel_total : 12424 time to create 1 rle with old method : 0.013431310653686523 time for calcul the mask position with numpy : 0.028695344924926758 nb_pixel_total : 9693 time to create 1 rle with old method : 0.010859966278076172 time for calcul the mask position with numpy : 0.028827667236328125 nb_pixel_total : 30454 time to create 1 rle with old method : 0.03295636177062988 time for calcul the mask position with numpy : 0.027780532836914062 nb_pixel_total : 11710 time to create 1 rle with old method : 0.01497197151184082 time for calcul the mask position with numpy : 0.028731346130371094 nb_pixel_total : 24950 time to create 1 rle with old method : 0.027125120162963867 time for calcul the mask position with numpy : 0.027962923049926758 nb_pixel_total : 9318 time to create 1 rle with old method : 0.009971141815185547 time for calcul the mask position with numpy : 0.027352094650268555 nb_pixel_total : 12197 time to create 1 rle with old method : 0.013005256652832031 time for calcul the mask position with numpy : 0.027718544006347656 nb_pixel_total : 31958 time to create 1 rle with old method : 0.03364300727844238 time for calcul the mask position with numpy : 0.027137041091918945 nb_pixel_total : 11812 time to create 1 rle with old method : 0.012525558471679688 time for calcul the mask position with numpy : 0.02763843536376953 nb_pixel_total : 23533 time to create 1 rle with old method : 0.0251007080078125 time for calcul the mask position with numpy : 0.02788686752319336 nb_pixel_total : 5028 time to create 1 rle with old method : 0.005738496780395508 time for calcul the mask position with numpy : 0.027987003326416016 nb_pixel_total : 27626 time to create 1 rle with old method : 0.029575586318969727 time for calcul the mask position with numpy : 0.027458667755126953 nb_pixel_total : 19001 time to create 1 rle with old method : 0.020241498947143555 time for calcul the mask position with numpy : 0.02729940414428711 nb_pixel_total : 35036 time to create 1 rle with old method : 0.038923025131225586 time for calcul the mask position with numpy : 0.028519868850708008 nb_pixel_total : 26371 time to create 1 rle with old method : 0.02875065803527832 time for calcul the mask position with numpy : 0.02771925926208496 nb_pixel_total : 25380 time to create 1 rle with old method : 0.02702927589416504 time for calcul the mask position with numpy : 0.028244972229003906 nb_pixel_total : 122363 time to create 1 rle with old method : 0.1340622901916504 time for calcul the mask position with numpy : 0.028897762298583984 nb_pixel_total : 17604 time to create 1 rle with old method : 0.019604206085205078 time for calcul the mask position with numpy : 0.029039621353149414 nb_pixel_total : 81697 time to create 1 rle with old method : 0.08742928504943848 time for calcul the mask position with numpy : 0.028184175491333008 nb_pixel_total : 84352 time to create 1 rle with old method : 0.09140682220458984 time for calcul the mask position with numpy : 0.028119564056396484 nb_pixel_total : 32473 time to create 1 rle with old method : 0.0348668098449707 time for calcul the mask position with numpy : 0.027946949005126953 nb_pixel_total : 33384 time to create 1 rle with old method : 0.03482174873352051 time for calcul the mask position with numpy : 0.02724766731262207 nb_pixel_total : 26499 time to create 1 rle with old method : 0.030892610549926758 time for calcul the mask position with numpy : 0.027779102325439453 nb_pixel_total : 16159 time to create 1 rle with old method : 0.017223119735717773 time for calcul the mask position with numpy : 0.028127431869506836 nb_pixel_total : 26575 time to create 1 rle with old method : 0.0288999080657959 time for calcul the mask position with numpy : 0.027861356735229492 nb_pixel_total : 34398 time to create 1 rle with old method : 0.03683972358703613 time for calcul the mask position with numpy : 0.031900882720947266 nb_pixel_total : 77289 time to create 1 rle with old method : 0.09608983993530273 time for calcul the mask position with numpy : 0.030512094497680664 nb_pixel_total : 13571 time to create 1 rle with old method : 0.018676280975341797 time for calcul the mask position with numpy : 0.029653072357177734 nb_pixel_total : 80017 time to create 1 rle with old method : 0.08948564529418945 time for calcul the mask position with numpy : 0.028985977172851562 nb_pixel_total : 27082 time to create 1 rle with old method : 0.030201435089111328 time for calcul the mask position with numpy : 0.028221845626831055 nb_pixel_total : 8626 time to create 1 rle with old method : 0.00937962532043457 time for calcul the mask position with numpy : 0.02805328369140625 nb_pixel_total : 40725 time to create 1 rle with old method : 0.04412531852722168 time for calcul the mask position with numpy : 0.027788400650024414 nb_pixel_total : 58629 time to create 1 rle with old method : 0.06256413459777832 time for calcul the mask position with numpy : 0.027707338333129883 nb_pixel_total : 10663 time to create 1 rle with old method : 0.011385440826416016 time for calcul the mask position with numpy : 0.027916908264160156 nb_pixel_total : 12510 time to create 1 rle with old method : 0.013941764831542969 time for calcul the mask position with numpy : 0.02795243263244629 nb_pixel_total : 17052 time to create 1 rle with old method : 0.01809072494506836 time for calcul the mask position with numpy : 0.027491092681884766 nb_pixel_total : 16854 time to create 1 rle with old method : 0.017982959747314453 time for calcul the mask position with numpy : 0.027827024459838867 nb_pixel_total : 8676 time to create 1 rle with old method : 0.009538888931274414 time for calcul the mask position with numpy : 0.028416872024536133 nb_pixel_total : 7469 time to create 1 rle with old method : 0.00802922248840332 time for calcul the mask position with numpy : 0.028360366821289062 nb_pixel_total : 10158 time to create 1 rle with old method : 0.011603593826293945 create new chi : 3.462252140045166 time to delete rle : 0.002935171127319336 batch 1 Loaded 81 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 19420 TO DO : save crop sub photo not yet done ! save time : 1.1555957794189453 nb_obj : 46 nb_hashtags : 3 time to prepare the origin masks : 12.68641185760498 time for calcul the mask position with numpy : 0.5478878021240234 nb_pixel_total : 5985114 time to create 1 rle with new method : 0.7425992488861084 time for calcul the mask position with numpy : 0.02725696563720703 nb_pixel_total : 8501 time to create 1 rle with old method : 0.00920414924621582 time for calcul the mask position with numpy : 0.027658462524414062 nb_pixel_total : 14500 time to create 1 rle with old method : 0.015416145324707031 time for calcul the mask position with numpy : 0.0279233455657959 nb_pixel_total : 15360 time to create 1 rle with old method : 0.01678919792175293 time for calcul the mask position with numpy : 0.02809882164001465 nb_pixel_total : 21545 time to create 1 rle with old method : 0.022920846939086914 time for calcul the mask position with numpy : 0.02802443504333496 nb_pixel_total : 32883 time to create 1 rle with old method : 0.03584766387939453 time for calcul the mask position with numpy : 0.030257463455200195 nb_pixel_total : 39496 time to create 1 rle with old method : 0.042824506759643555 time for calcul the mask position with numpy : 0.028342008590698242 nb_pixel_total : 16642 time to create 1 rle with old method : 0.018431663513183594 time for calcul the mask position with numpy : 0.029455184936523438 nb_pixel_total : 23308 time to create 1 rle with old method : 0.03828167915344238 time for calcul the mask position with numpy : 0.03243517875671387 nb_pixel_total : 22195 time to create 1 rle with old method : 0.02466416358947754 time for calcul the mask position with numpy : 0.02873086929321289 nb_pixel_total : 53678 time to create 1 rle with old method : 0.05735349655151367 time for calcul the mask position with numpy : 0.0279998779296875 nb_pixel_total : 19984 time to create 1 rle with old method : 0.021520137786865234 time for calcul the mask position with numpy : 0.02736639976501465 nb_pixel_total : 19025 time to create 1 rle with old method : 0.020032882690429688 time for calcul the mask position with numpy : 0.027481794357299805 nb_pixel_total : 5594 time to create 1 rle with old method : 0.006217241287231445 time for calcul the mask position with numpy : 0.02824544906616211 nb_pixel_total : 25481 time to create 1 rle with old method : 0.02772212028503418 time for calcul the mask position with numpy : 0.028406620025634766 nb_pixel_total : 48514 time to create 1 rle with old method : 0.052927255630493164 time for calcul the mask position with numpy : 0.0284576416015625 nb_pixel_total : 4061 time to create 1 rle with old method : 0.004530191421508789 time for calcul the mask position with numpy : 0.02815866470336914 nb_pixel_total : 8760 time to create 1 rle with old method : 0.009742498397827148 time for calcul the mask position with numpy : 0.027490615844726562 nb_pixel_total : 14334 time to create 1 rle with old method : 0.015518665313720703 time for calcul the mask position with numpy : 0.027621984481811523 nb_pixel_total : 15123 time to create 1 rle with old method : 0.0167236328125 time for calcul the mask position with numpy : 0.028661727905273438 nb_pixel_total : 15736 time to create 1 rle with old method : 0.017181873321533203 time for calcul the mask position with numpy : 0.028286218643188477 nb_pixel_total : 47289 time to create 1 rle with old method : 0.05148792266845703 time for calcul the mask position with numpy : 0.028711795806884766 nb_pixel_total : 380 time to create 1 rle with old method : 0.0005998611450195312 time for calcul the mask position with numpy : 0.03447675704956055 nb_pixel_total : 31760 time to create 1 rle with old method : 0.03492307662963867 time for calcul the mask position with numpy : 0.027900218963623047 nb_pixel_total : 18468 time to create 1 rle with old method : 0.019843101501464844 time for calcul the mask position with numpy : 0.028270244598388672 nb_pixel_total : 758 time to create 1 rle with old method : 0.0010695457458496094 time for calcul the mask position with numpy : 0.028502702713012695 nb_pixel_total : 38285 time to create 1 rle with old method : 0.04203200340270996 time for calcul the mask position with numpy : 0.02886343002319336 nb_pixel_total : 65494 time to create 1 rle with old method : 0.07284736633300781 time for calcul the mask position with numpy : 0.028355836868286133 nb_pixel_total : 227 time to create 1 rle with old method : 0.0005254745483398438 time for calcul the mask position with numpy : 0.028083324432373047 nb_pixel_total : 42958 time to create 1 rle with old method : 0.045758962631225586 time for calcul the mask position with numpy : 0.02831435203552246 nb_pixel_total : 20806 time to create 1 rle with old method : 0.02312636375427246 time for calcul the mask position with numpy : 0.03117966651916504 nb_pixel_total : 35486 time to create 1 rle with old method : 0.04566025733947754 time for calcul the mask position with numpy : 0.03492569923400879 nb_pixel_total : 148382 time to create 1 rle with old method : 0.16863584518432617 time for calcul the mask position with numpy : 0.028529882431030273 nb_pixel_total : 742 time to create 1 rle with old method : 0.0013592243194580078 time for calcul the mask position with numpy : 0.027945995330810547 nb_pixel_total : 1004 time to create 1 rle with old method : 0.0012772083282470703 time for calcul the mask position with numpy : 0.028503894805908203 nb_pixel_total : 31120 time to create 1 rle with old method : 0.03406047821044922 time for calcul the mask position with numpy : 0.028731584548950195 nb_pixel_total : 22959 time to create 1 rle with old method : 0.02528095245361328 time for calcul the mask position with numpy : 0.02846240997314453 nb_pixel_total : 216 time to create 1 rle with old method : 0.0004405975341796875 time for calcul the mask position with numpy : 0.028919696807861328 nb_pixel_total : 46935 time to create 1 rle with old method : 0.05102849006652832 time for calcul the mask position with numpy : 0.02964925765991211 nb_pixel_total : 3666 time to create 1 rle with old method : 0.004322052001953125 time for calcul the mask position with numpy : 0.028446197509765625 nb_pixel_total : 32895 time to create 1 rle with old method : 0.03568553924560547 time for calcul the mask position with numpy : 0.028635501861572266 nb_pixel_total : 8348 time to create 1 rle with old method : 0.009557008743286133 time for calcul the mask position with numpy : 0.029514312744140625 nb_pixel_total : 5216 time to create 1 rle with old method : 0.005810260772705078 time for calcul the mask position with numpy : 0.02873849868774414 nb_pixel_total : 10600 time to create 1 rle with old method : 0.01168513298034668 time for calcul the mask position with numpy : 0.02847909927368164 nb_pixel_total : 6629 time to create 1 rle with old method : 0.006990909576416016 time for calcul the mask position with numpy : 0.028014183044433594 nb_pixel_total : 3495 time to create 1 rle with old method : 0.003935813903808594 time for calcul the mask position with numpy : 0.028217077255249023 nb_pixel_total : 16288 time to create 1 rle with old method : 0.017457008361816406 create new chi : 3.841266632080078 time to delete rle : 0.003551483154296875 batch 1 Loaded 122 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 21319 TO DO : save crop sub photo not yet done ! save time : 1.3030357360839844 nb_obj : 23 nb_hashtags : 3 time to prepare the origin masks : 8.146746397018433 time for calcul the mask position with numpy : 0.446807861328125 nb_pixel_total : 6530855 time to create 1 rle with new method : 1.03271484375 time for calcul the mask position with numpy : 0.029522180557250977 nb_pixel_total : 15418 time to create 1 rle with old method : 0.01724553108215332 time for calcul the mask position with numpy : 0.02967667579650879 nb_pixel_total : 43637 time to create 1 rle with old method : 0.051282644271850586 time for calcul the mask position with numpy : 0.028131484985351562 nb_pixel_total : 13912 time to create 1 rle with old method : 0.015237569808959961 time for calcul the mask position with numpy : 0.030054807662963867 nb_pixel_total : 10351 time to create 1 rle with old method : 0.013811826705932617 time for calcul the mask position with numpy : 0.02935338020324707 nb_pixel_total : 41973 time to create 1 rle with old method : 0.04703092575073242 time for calcul the mask position with numpy : 0.030173540115356445 nb_pixel_total : 16294 time to create 1 rle with old method : 0.019734621047973633 time for calcul the mask position with numpy : 0.031009912490844727 nb_pixel_total : 12976 time to create 1 rle with old method : 0.01457071304321289 time for calcul the mask position with numpy : 0.029415369033813477 nb_pixel_total : 1784 time to create 1 rle with old method : 0.0022416114807128906 time for calcul the mask position with numpy : 0.029354572296142578 nb_pixel_total : 12126 time to create 1 rle with old method : 0.013675928115844727 time for calcul the mask position with numpy : 0.029174327850341797 nb_pixel_total : 13140 time to create 1 rle with old method : 0.0150604248046875 time for calcul the mask position with numpy : 0.029019594192504883 nb_pixel_total : 33748 time to create 1 rle with old method : 0.03897237777709961 time for calcul the mask position with numpy : 0.03245997428894043 nb_pixel_total : 15609 time to create 1 rle with old method : 0.018263816833496094 time for calcul the mask position with numpy : 0.029366016387939453 nb_pixel_total : 16759 time to create 1 rle with old method : 0.01892375946044922 time for calcul the mask position with numpy : 0.033124446868896484 nb_pixel_total : 74064 time to create 1 rle with old method : 0.144240140914917 time for calcul the mask position with numpy : 0.03250575065612793 nb_pixel_total : 36662 time to create 1 rle with old method : 0.042391061782836914 time for calcul the mask position with numpy : 0.02891087532043457 nb_pixel_total : 3627 time to create 1 rle with old method : 0.00402522087097168 time for calcul the mask position with numpy : 0.02872443199157715 nb_pixel_total : 34436 time to create 1 rle with old method : 0.037978410720825195 time for calcul the mask position with numpy : 0.028126239776611328 nb_pixel_total : 15890 time to create 1 rle with old method : 0.01729726791381836 time for calcul the mask position with numpy : 0.028748035430908203 nb_pixel_total : 22928 time to create 1 rle with old method : 0.025728940963745117 time for calcul the mask position with numpy : 0.02936697006225586 nb_pixel_total : 38980 time to create 1 rle with old method : 0.04316830635070801 time for calcul the mask position with numpy : 0.029001951217651367 nb_pixel_total : 9032 time to create 1 rle with old method : 0.010099172592163086 time for calcul the mask position with numpy : 0.028903961181640625 nb_pixel_total : 14596 time to create 1 rle with old method : 0.016433238983154297 time for calcul the mask position with numpy : 0.02902531623840332 nb_pixel_total : 21443 time to create 1 rle with old method : 0.024042606353759766 create new chi : 2.8563339710235596 time to delete rle : 0.0021381378173828125 batch 1 Loaded 60 chid ids of type : 3594 ++++++++++++++++++++++++++++Number RLEs to save : 12071 TO DO : save crop sub photo not yet done ! save time : 0.7369673252105713 nb_obj : 32 nb_hashtags : 4 time to prepare the origin masks : 13.004978656768799 time for calcul the mask position with numpy : 0.994269847869873 nb_pixel_total : 5854393 time to create 1 rle with new method : 0.4234941005706787 time for calcul the mask position with numpy : 0.03040766716003418 nb_pixel_total : 51713 time to create 1 rle with old method : 0.05843830108642578 time for calcul the mask position with numpy : 0.028980731964111328 nb_pixel_total : 51042 time to create 1 rle with old method : 0.06013846397399902 time for calcul the mask position with numpy : 0.029497623443603516 nb_pixel_total : 43061 time to create 1 rle with old method : 0.04736971855163574 time for calcul the mask position with numpy : 0.02961564064025879 nb_pixel_total : 18363 time to create 1 rle with old method : 0.02070021629333496 time for calcul the mask position with numpy : 0.02921319007873535 nb_pixel_total : 130 time to create 1 rle with old method : 0.0002980232238769531 time for calcul the mask position with numpy : 0.02944493293762207 nb_pixel_total : 12613 time to create 1 rle with old method : 0.015021800994873047 time for calcul the mask position with numpy : 0.029855012893676758 nb_pixel_total : 16908 time to create 1 rle with old method : 0.028926610946655273 time for calcul the mask position with numpy : 0.03349566459655762 nb_pixel_total : 3612 time to create 1 rle with old method : 0.005988359451293945 time for calcul the mask position with numpy : 0.030533790588378906 nb_pixel_total : 27104 time to create 1 rle with old method : 0.030153274536132812 time for calcul the mask position with numpy : 0.031838417053222656 nb_pixel_total : 10408 time to create 1 rle with old method : 0.016010761260986328 time for calcul the mask position with numpy : 0.037795066833496094 nb_pixel_total : 23772 time to create 1 rle with old method : 0.044554710388183594 time for calcul the mask position with numpy : 0.032388925552368164 nb_pixel_total : 25890 time to create 1 rle with old method : 0.033049583435058594 time for calcul the mask position with numpy : 0.03265213966369629 nb_pixel_total : 39773 time to create 1 rle with old method : 0.0453798770904541 time for calcul the mask position with numpy : 0.02934575080871582 nb_pixel_total : 21931 time to create 1 rle with old method : 0.02533268928527832 time for calcul the mask position with numpy : 0.032472848892211914 nb_pixel_total : 20171 time to create 1 rle with old method : 0.022929906845092773 time for calcul the mask position with numpy : 0.03161168098449707 nb_pixel_total : 56076 time to create 1 rle with old method : 0.06346249580383301 time for calcul the mask position with numpy : 0.029361486434936523 nb_pixel_total : 23926 time to create 1 rle with old method : 0.026708602905273438 time for calcul the mask position with numpy : 0.0314791202545166 nb_pixel_total : 18981 time to create 1 rle with old method : 0.0307464599609375 time for calcul the mask position with numpy : 0.033020973205566406 nb_pixel_total : 25259 time to create 1 rle with old method : 0.03243207931518555 time for calcul the mask position with numpy : 0.03141069412231445 nb_pixel_total : 41948 time to create 1 rle with old method : 0.046707868576049805 time for calcul the mask position with numpy : 0.029836654663085938 nb_pixel_total : 41151 time to create 1 rle with old method : 0.04967021942138672 time for calcul the mask position with numpy : 0.03011941909790039 nb_pixel_total : 70190 time to create 1 rle with old method : 0.07586526870727539 time for calcul the mask position with numpy : 0.02972888946533203 nb_pixel_total : 36137 time to create 1 rle with old method : 0.04086589813232422 time for calcul the mask position with numpy : 0.0294952392578125 nb_pixel_total : 16442 time to create 1 rle with old method : 0.02335810661315918 time for calcul the mask position with numpy : 0.03570723533630371 nb_pixel_total : 97418 time to create 1 rle with old method : 0.12274003028869629 time for calcul the mask position with numpy : 0.029924869537353516 nb_pixel_total : 42717 time to create 1 rle with old method : 0.09166169166564941 time for calcul the mask position with numpy : 0.033620357513427734 nb_pixel_total : 13318 time to create 1 rle with old method : 0.015033245086669922 time for calcul the mask position with numpy : 0.03123617172241211 nb_pixel_total : 154778 time to create 1 rle with new method : 0.785088062286377 time for calcul the mask position with numpy : 0.029490232467651367 nb_pixel_total : 34164 time to create 1 rle with old method : 0.03826284408569336 time for calcul the mask position with numpy : 0.029999732971191406 nb_pixel_total : 122411 time to create 1 rle with old method : 0.161055326461792 time for calcul the mask position with numpy : 0.029269933700561523 nb_pixel_total : 2672 time to create 1 rle with old method : 0.0030858516693115234 time for calcul the mask position with numpy : 0.029018402099609375 nb_pixel_total : 31768 time to create 1 rle with old method : 0.03540658950805664 create new chi : 4.56985330581665 time to delete rle : 0.0032165050506591797 batch 1 Loaded 84 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 18485 TO DO : save crop sub photo not yet done ! save time : 1.067230224609375 nb_obj : 28 nb_hashtags : 2 time to prepare the origin masks : 13.216203451156616 time for calcul the mask position with numpy : 0.487194299697876 nb_pixel_total : 6086612 time to create 1 rle with new method : 0.8140172958374023 time for calcul the mask position with numpy : 0.027050256729125977 nb_pixel_total : 58149 time to create 1 rle with old method : 0.060202836990356445 time for calcul the mask position with numpy : 0.02689647674560547 nb_pixel_total : 55515 time to create 1 rle with old method : 0.05875515937805176 time for calcul the mask position with numpy : 0.02745509147644043 nb_pixel_total : 45829 time to create 1 rle with old method : 0.04783439636230469 time for calcul the mask position with numpy : 0.026759862899780273 nb_pixel_total : 12980 time to create 1 rle with old method : 0.013698339462280273 time for calcul the mask position with numpy : 0.028333425521850586 nb_pixel_total : 26665 time to create 1 rle with old method : 0.028748035430908203 time for calcul the mask position with numpy : 0.02884650230407715 nb_pixel_total : 33981 time to create 1 rle with old method : 0.036748647689819336 time for calcul the mask position with numpy : 0.02848196029663086 nb_pixel_total : 17880 time to create 1 rle with old method : 0.02007150650024414 time for calcul the mask position with numpy : 0.029223203659057617 nb_pixel_total : 38975 time to create 1 rle with old method : 0.043729543685913086 time for calcul the mask position with numpy : 0.02788710594177246 nb_pixel_total : 35847 time to create 1 rle with old method : 0.03854012489318848 time for calcul the mask position with numpy : 0.027704477310180664 nb_pixel_total : 21131 time to create 1 rle with old method : 0.022497892379760742 time for calcul the mask position with numpy : 0.028605222702026367 nb_pixel_total : 121745 time to create 1 rle with old method : 0.13000249862670898 time for calcul the mask position with numpy : 0.02843618392944336 nb_pixel_total : 48482 time to create 1 rle with old method : 0.05307316780090332 time for calcul the mask position with numpy : 0.028653383255004883 nb_pixel_total : 16624 time to create 1 rle with old method : 0.018358707427978516 time for calcul the mask position with numpy : 0.029788732528686523 nb_pixel_total : 74046 time to create 1 rle with old method : 0.08142209053039551 time for calcul the mask position with numpy : 0.0284268856048584 nb_pixel_total : 25698 time to create 1 rle with old method : 0.027753829956054688 time for calcul the mask position with numpy : 0.028322935104370117 nb_pixel_total : 22637 time to create 1 rle with old method : 0.024312496185302734 time for calcul the mask position with numpy : 0.0284268856048584 nb_pixel_total : 12932 time to create 1 rle with old method : 0.013900518417358398 time for calcul the mask position with numpy : 0.02839517593383789 nb_pixel_total : 16536 time to create 1 rle with old method : 0.017877578735351562 time for calcul the mask position with numpy : 0.02831268310546875 nb_pixel_total : 39295 time to create 1 rle with old method : 0.0574796199798584 time for calcul the mask position with numpy : 0.03384208679199219 nb_pixel_total : 16270 time to create 1 rle with old method : 0.017615079879760742 time for calcul the mask position with numpy : 0.030202150344848633 nb_pixel_total : 18288 time to create 1 rle with old method : 0.0318140983581543 time for calcul the mask position with numpy : 0.03254961967468262 nb_pixel_total : 40 time to create 1 rle with old method : 0.0002567768096923828 time for calcul the mask position with numpy : 0.02808237075805664 nb_pixel_total : 35940 time to create 1 rle with old method : 0.038367271423339844 time for calcul the mask position with numpy : 0.027714014053344727 nb_pixel_total : 4562 time to create 1 rle with old method : 0.004828929901123047 time for calcul the mask position with numpy : 0.027990102767944336 nb_pixel_total : 14723 time to create 1 rle with old method : 0.01586461067199707 time for calcul the mask position with numpy : 0.028243064880371094 nb_pixel_total : 76698 time to create 1 rle with old method : 0.08295822143554688 time for calcul the mask position with numpy : 0.027973651885986328 nb_pixel_total : 22291 time to create 1 rle with old method : 0.024003267288208008 time for calcul the mask position with numpy : 0.028185367584228516 nb_pixel_total : 49869 time to create 1 rle with old method : 0.05317854881286621 create new chi : 3.2015881538391113 time to delete rle : 0.003693103790283203 batch 1 Loaded 73 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 16596 TO DO : save crop sub photo not yet done ! save time : 1.009666919708252 nb_obj : 13 nb_hashtags : 2 time to prepare the origin masks : 6.425865888595581 time for calcul the mask position with numpy : 0.5977277755737305 nb_pixel_total : 6598894 time to create 1 rle with new method : 0.5469326972961426 time for calcul the mask position with numpy : 0.028878450393676758 nb_pixel_total : 8371 time to create 1 rle with old method : 0.009689092636108398 time for calcul the mask position with numpy : 0.029036521911621094 nb_pixel_total : 45683 time to create 1 rle with old method : 0.05115389823913574 time for calcul the mask position with numpy : 0.02858734130859375 nb_pixel_total : 48984 time to create 1 rle with old method : 0.0538029670715332 time for calcul the mask position with numpy : 0.028467655181884766 nb_pixel_total : 47901 time to create 1 rle with old method : 0.052008628845214844 time for calcul the mask position with numpy : 0.028514385223388672 nb_pixel_total : 5364 time to create 1 rle with old method : 0.010290384292602539 time for calcul the mask position with numpy : 0.02895975112915039 nb_pixel_total : 2015 time to create 1 rle with old method : 0.002496480941772461 time for calcul the mask position with numpy : 0.03026890754699707 nb_pixel_total : 121040 time to create 1 rle with old method : 0.13104534149169922 time for calcul the mask position with numpy : 0.028710126876831055 nb_pixel_total : 32106 time to create 1 rle with old method : 0.03623318672180176 time for calcul the mask position with numpy : 0.028660297393798828 nb_pixel_total : 31667 time to create 1 rle with old method : 0.03482484817504883 time for calcul the mask position with numpy : 0.028500795364379883 nb_pixel_total : 19724 time to create 1 rle with old method : 0.021796464920043945 time for calcul the mask position with numpy : 0.028695106506347656 nb_pixel_total : 34304 time to create 1 rle with old method : 0.03800511360168457 time for calcul the mask position with numpy : 0.028458356857299805 nb_pixel_total : 16874 time to create 1 rle with old method : 0.01835799217224121 time for calcul the mask position with numpy : 0.028341054916381836 nb_pixel_total : 37313 time to create 1 rle with old method : 0.050850629806518555 create new chi : 2.093557596206665 time to delete rle : 0.0017309188842773438 batch 1 Loaded 35 chid ids of type : 3594 ++++++++++++++++++++Number RLEs to save : 8340 TO DO : save crop sub photo not yet done ! save time : 0.5160000324249268 nb_obj : 39 nb_hashtags : 3 time to prepare the origin masks : 11.527241945266724 time for calcul the mask position with numpy : 0.9530212879180908 nb_pixel_total : 6093381 time to create 1 rle with new method : 0.7541112899780273 time for calcul the mask position with numpy : 0.02873373031616211 nb_pixel_total : 10162 time to create 1 rle with old method : 0.01146388053894043 time for calcul the mask position with numpy : 0.033489227294921875 nb_pixel_total : 50933 time to create 1 rle with old method : 0.05669522285461426 time for calcul the mask position with numpy : 0.029283761978149414 nb_pixel_total : 14641 time to create 1 rle with old method : 0.02136397361755371 time for calcul the mask position with numpy : 0.03560447692871094 nb_pixel_total : 42764 time to create 1 rle with old method : 0.07008600234985352 time for calcul the mask position with numpy : 0.0346677303314209 nb_pixel_total : 13550 time to create 1 rle with old method : 0.016527414321899414 time for calcul the mask position with numpy : 0.030591964721679688 nb_pixel_total : 23233 time to create 1 rle with old method : 0.026117324829101562 time for calcul the mask position with numpy : 0.032195329666137695 nb_pixel_total : 97156 time to create 1 rle with old method : 0.10384440422058105 time for calcul the mask position with numpy : 0.027804136276245117 nb_pixel_total : 15322 time to create 1 rle with old method : 0.016686439514160156 time for calcul the mask position with numpy : 0.03020000457763672 nb_pixel_total : 40611 time to create 1 rle with old method : 0.04376578330993652 time for calcul the mask position with numpy : 0.028116226196289062 nb_pixel_total : 48445 time to create 1 rle with old method : 0.05264759063720703 time for calcul the mask position with numpy : 0.028028488159179688 nb_pixel_total : 31536 time to create 1 rle with old method : 0.034529924392700195 time for calcul the mask position with numpy : 0.026956558227539062 nb_pixel_total : 10629 time to create 1 rle with old method : 0.011306524276733398 time for calcul the mask position with numpy : 0.028582096099853516 nb_pixel_total : 13335 time to create 1 rle with old method : 0.014658451080322266 time for calcul the mask position with numpy : 0.028408050537109375 nb_pixel_total : 17573 time to create 1 rle with old method : 0.019361257553100586 time for calcul the mask position with numpy : 0.02834916114807129 nb_pixel_total : 11990 time to create 1 rle with old method : 0.013221502304077148 time for calcul the mask position with numpy : 0.028443336486816406 nb_pixel_total : 27619 time to create 1 rle with old method : 0.030562162399291992 time for calcul the mask position with numpy : 0.028852462768554688 nb_pixel_total : 43316 time to create 1 rle with old method : 0.04788994789123535 time for calcul the mask position with numpy : 0.02859330177307129 nb_pixel_total : 64753 time to create 1 rle with old method : 0.0725409984588623 time for calcul the mask position with numpy : 0.028762102127075195 nb_pixel_total : 68458 time to create 1 rle with old method : 0.07592225074768066 time for calcul the mask position with numpy : 0.02871870994567871 nb_pixel_total : 16336 time to create 1 rle with old method : 0.018431663513183594 time for calcul the mask position with numpy : 0.028855323791503906 nb_pixel_total : 18533 time to create 1 rle with old method : 0.02119135856628418 time for calcul the mask position with numpy : 0.028914928436279297 nb_pixel_total : 19979 time to create 1 rle with old method : 0.02327895164489746 time for calcul the mask position with numpy : 0.028970718383789062 nb_pixel_total : 38838 time to create 1 rle with old method : 0.04447364807128906 time for calcul the mask position with numpy : 0.029601573944091797 nb_pixel_total : 1799 time to create 1 rle with old method : 0.0023713111877441406 time for calcul the mask position with numpy : 0.028794050216674805 nb_pixel_total : 2438 time to create 1 rle with old method : 0.0031578540802001953 time for calcul the mask position with numpy : 0.028924942016601562 nb_pixel_total : 14951 time to create 1 rle with old method : 0.017066478729248047 time for calcul the mask position with numpy : 0.030667543411254883 nb_pixel_total : 183 time to create 1 rle with old method : 0.0003409385681152344 time for calcul the mask position with numpy : 0.028914928436279297 nb_pixel_total : 31030 time to create 1 rle with old method : 0.0350492000579834 time for calcul the mask position with numpy : 0.029614925384521484 nb_pixel_total : 238 time to create 1 rle with old method : 0.0007998943328857422 time for calcul the mask position with numpy : 0.03006744384765625 nb_pixel_total : 33531 time to create 1 rle with old method : 0.040065765380859375 time for calcul the mask position with numpy : 0.03133106231689453 nb_pixel_total : 280 time to create 1 rle with old method : 0.00042939186096191406 time for calcul the mask position with numpy : 0.028803348541259766 nb_pixel_total : 4444 time to create 1 rle with old method : 0.005091190338134766 time for calcul the mask position with numpy : 0.029212474822998047 nb_pixel_total : 30347 time to create 1 rle with old method : 0.03417396545410156 time for calcul the mask position with numpy : 0.031966209411621094 nb_pixel_total : 186 time to create 1 rle with old method : 0.0004913806915283203 time for calcul the mask position with numpy : 0.029102087020874023 nb_pixel_total : 26501 time to create 1 rle with old method : 0.030241727828979492 time for calcul the mask position with numpy : 0.0295257568359375 nb_pixel_total : 33935 time to create 1 rle with old method : 0.038314104080200195 time for calcul the mask position with numpy : 0.028707027435302734 nb_pixel_total : 834 time to create 1 rle with old method : 0.0011882781982421875 time for calcul the mask position with numpy : 0.02919936180114746 nb_pixel_total : 35448 time to create 1 rle with old method : 0.03979206085205078 time for calcul the mask position with numpy : 0.029271602630615234 nb_pixel_total : 1002 time to create 1 rle with old method : 0.0016150474548339844 create new chi : 3.9959938526153564 time to delete rle : 0.003304004669189453 batch 1 Loaded 101 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 18727 TO DO : save crop sub photo not yet done ! save time : 1.1555354595184326 nb_obj : 21 nb_hashtags : 2 time to prepare the origin masks : 8.347184658050537 time for calcul the mask position with numpy : 1.412987470626831 nb_pixel_total : 6430026 time to create 1 rle with new method : 0.6166191101074219 time for calcul the mask position with numpy : 0.030582427978515625 nb_pixel_total : 50602 time to create 1 rle with old method : 0.12453746795654297 time for calcul the mask position with numpy : 0.03827023506164551 nb_pixel_total : 43892 time to create 1 rle with old method : 0.053697824478149414 time for calcul the mask position with numpy : 0.03316545486450195 nb_pixel_total : 18505 time to create 1 rle with old method : 0.029584646224975586 time for calcul the mask position with numpy : 0.029936790466308594 nb_pixel_total : 21349 time to create 1 rle with old method : 0.024602174758911133 time for calcul the mask position with numpy : 0.029329776763916016 nb_pixel_total : 21728 time to create 1 rle with old method : 0.024306535720825195 time for calcul the mask position with numpy : 0.030573606491088867 nb_pixel_total : 78734 time to create 1 rle with old method : 0.08771920204162598 time for calcul the mask position with numpy : 0.030611515045166016 nb_pixel_total : 31554 time to create 1 rle with old method : 0.03975081443786621 time for calcul the mask position with numpy : 0.03483724594116211 nb_pixel_total : 20667 time to create 1 rle with old method : 0.022958993911743164 time for calcul the mask position with numpy : 0.028964757919311523 nb_pixel_total : 28875 time to create 1 rle with old method : 0.03717207908630371 time for calcul the mask position with numpy : 0.03285503387451172 nb_pixel_total : 18007 time to create 1 rle with old method : 0.02964496612548828 time for calcul the mask position with numpy : 0.02943563461303711 nb_pixel_total : 24971 time to create 1 rle with old method : 0.028255939483642578 time for calcul the mask position with numpy : 0.029373884201049805 nb_pixel_total : 17818 time to create 1 rle with old method : 0.02028942108154297 time for calcul the mask position with numpy : 0.03447556495666504 nb_pixel_total : 66018 time to create 1 rle with old method : 0.1048581600189209 time for calcul the mask position with numpy : 0.03328895568847656 nb_pixel_total : 22339 time to create 1 rle with old method : 0.027747392654418945 time for calcul the mask position with numpy : 0.032353878021240234 nb_pixel_total : 22931 time to create 1 rle with old method : 0.026033878326416016 time for calcul the mask position with numpy : 0.030283689498901367 nb_pixel_total : 16913 time to create 1 rle with old method : 0.019079923629760742 time for calcul the mask position with numpy : 0.030028343200683594 nb_pixel_total : 31554 time to create 1 rle with old method : 0.03560280799865723 time for calcul the mask position with numpy : 0.029513835906982422 nb_pixel_total : 34290 time to create 1 rle with old method : 0.03878068923950195 time for calcul the mask position with numpy : 0.029393672943115234 nb_pixel_total : 4327 time to create 1 rle with old method : 0.004928112030029297 time for calcul the mask position with numpy : 0.0313875675201416 nb_pixel_total : 34264 time to create 1 rle with old method : 0.038480281829833984 time for calcul the mask position with numpy : 0.03051447868347168 nb_pixel_total : 10876 time to create 1 rle with old method : 0.017734527587890625 create new chi : 3.566168785095215 time to delete rle : 0.002592802047729492 batch 1 Loaded 52 chid ids of type : 3594 ++++++++++++++++++++++++++++Number RLEs to save : 11920 TO DO : save crop sub photo not yet done ! save time : 0.7093772888183594 nb_obj : 9 nb_hashtags : 3 time to prepare the origin masks : 11.152128458023071 time for calcul the mask position with numpy : 0.8235478401184082 nb_pixel_total : 6689909 time to create 1 rle with new method : 0.9320423603057861 time for calcul the mask position with numpy : 0.03647303581237793 nb_pixel_total : 44753 time to create 1 rle with old method : 0.04935169219970703 time for calcul the mask position with numpy : 0.03570079803466797 nb_pixel_total : 23207 time to create 1 rle with old method : 0.025187969207763672 time for calcul the mask position with numpy : 0.03408050537109375 nb_pixel_total : 46598 time to create 1 rle with old method : 0.05130410194396973 time for calcul the mask position with numpy : 0.03528118133544922 nb_pixel_total : 17668 time to create 1 rle with old method : 0.019894838333129883 time for calcul the mask position with numpy : 0.033759355545043945 nb_pixel_total : 33215 time to create 1 rle with old method : 0.037158966064453125 time for calcul the mask position with numpy : 0.03422379493713379 nb_pixel_total : 26488 time to create 1 rle with old method : 0.02983403205871582 time for calcul the mask position with numpy : 0.023462772369384766 nb_pixel_total : 37985 time to create 1 rle with old method : 0.0427091121673584 time for calcul the mask position with numpy : 0.023328304290771484 nb_pixel_total : 57528 time to create 1 rle with old method : 0.0644826889038086 time for calcul the mask position with numpy : 0.023144006729125977 nb_pixel_total : 72889 time to create 1 rle with old method : 0.08374929428100586 create new chi : 2.4720754623413086 time to delete rle : 0.0013360977172851562 batch 1 Loaded 25 chid ids of type : 3594 +++++++++++++++++Number RLEs to save : 7320 TO DO : save crop sub photo not yet done ! save time : 0.4509880542755127 nb_obj : 32 nb_hashtags : 4 time to prepare the origin masks : 11.892267227172852 time for calcul the mask position with numpy : 0.5215606689453125 nb_pixel_total : 6145301 time to create 1 rle with new method : 0.6082034111022949 time for calcul the mask position with numpy : 0.029675960540771484 nb_pixel_total : 44452 time to create 1 rle with old method : 0.04902768135070801 time for calcul the mask position with numpy : 0.029711484909057617 nb_pixel_total : 44856 time to create 1 rle with old method : 0.05344748497009277 time for calcul the mask position with numpy : 0.028903484344482422 nb_pixel_total : 49590 time to create 1 rle with old method : 0.054320573806762695 time for calcul the mask position with numpy : 0.029918432235717773 nb_pixel_total : 9692 time to create 1 rle with old method : 0.0110015869140625 time for calcul the mask position with numpy : 0.0294344425201416 nb_pixel_total : 17630 time to create 1 rle with old method : 0.0205535888671875 time for calcul the mask position with numpy : 0.029758691787719727 nb_pixel_total : 6146 time to create 1 rle with old method : 0.007101297378540039 time for calcul the mask position with numpy : 0.02938055992126465 nb_pixel_total : 17708 time to create 1 rle with old method : 0.01993107795715332 time for calcul the mask position with numpy : 0.02991318702697754 nb_pixel_total : 30628 time to create 1 rle with old method : 0.03426933288574219 time for calcul the mask position with numpy : 0.038610219955444336 nb_pixel_total : 33523 time to create 1 rle with old method : 0.04198789596557617 time for calcul the mask position with numpy : 0.031311750411987305 nb_pixel_total : 11157 time to create 1 rle with old method : 0.014185428619384766 time for calcul the mask position with numpy : 0.03583121299743652 nb_pixel_total : 24077 time to create 1 rle with old method : 0.02682042121887207 time for calcul the mask position with numpy : 0.029996871948242188 nb_pixel_total : 29778 time to create 1 rle with old method : 0.033036231994628906 time for calcul the mask position with numpy : 0.02904677391052246 nb_pixel_total : 7143 time to create 1 rle with old method : 0.007928133010864258 time for calcul the mask position with numpy : 0.029039621353149414 nb_pixel_total : 19001 time to create 1 rle with old method : 0.022349834442138672 time for calcul the mask position with numpy : 0.028449296951293945 nb_pixel_total : 25048 time to create 1 rle with old method : 0.026828289031982422 time for calcul the mask position with numpy : 0.0277254581451416 nb_pixel_total : 41561 time to create 1 rle with old method : 0.04533863067626953 time for calcul the mask position with numpy : 0.028642892837524414 nb_pixel_total : 62562 time to create 1 rle with old method : 0.06749153137207031 time for calcul the mask position with numpy : 0.027966022491455078 nb_pixel_total : 16334 time to create 1 rle with old method : 0.019159793853759766 time for calcul the mask position with numpy : 0.02904033660888672 nb_pixel_total : 12590 time to create 1 rle with old method : 0.013235092163085938 time for calcul the mask position with numpy : 0.027116775512695312 nb_pixel_total : 3425 time to create 1 rle with old method : 0.003737211227416992 time for calcul the mask position with numpy : 0.02870035171508789 nb_pixel_total : 34854 time to create 1 rle with old method : 0.04573869705200195 time for calcul the mask position with numpy : 0.03286099433898926 nb_pixel_total : 17665 time to create 1 rle with old method : 0.027835607528686523 time for calcul the mask position with numpy : 0.028647184371948242 nb_pixel_total : 35055 time to create 1 rle with old method : 0.03926539421081543 time for calcul the mask position with numpy : 0.028812170028686523 nb_pixel_total : 397 time to create 1 rle with old method : 0.0006606578826904297 time for calcul the mask position with numpy : 0.02908039093017578 nb_pixel_total : 20459 time to create 1 rle with old method : 0.0227658748626709 time for calcul the mask position with numpy : 0.028806209564208984 nb_pixel_total : 445 time to create 1 rle with old method : 0.000690460205078125 time for calcul the mask position with numpy : 0.028429746627807617 nb_pixel_total : 40002 time to create 1 rle with old method : 0.04479789733886719 time for calcul the mask position with numpy : 0.03365945816040039 nb_pixel_total : 127749 time to create 1 rle with old method : 0.1435105800628662 time for calcul the mask position with numpy : 0.02936697006225586 nb_pixel_total : 30071 time to create 1 rle with old method : 0.03398013114929199 time for calcul the mask position with numpy : 0.029511213302612305 nb_pixel_total : 16703 time to create 1 rle with old method : 0.018706321716308594 time for calcul the mask position with numpy : 0.029503583908081055 nb_pixel_total : 41721 time to create 1 rle with old method : 0.047428131103515625 time for calcul the mask position with numpy : 0.029532670974731445 nb_pixel_total : 32917 time to create 1 rle with old method : 0.03753829002380371 create new chi : 3.166935682296753 time to delete rle : 0.004078388214111328 batch 1 Loaded 82 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 16643 TO DO : save crop sub photo not yet done ! save time : 1.015209674835205 nb_obj : 27 nb_hashtags : 3 time to prepare the origin masks : 15.13972783088684 time for calcul the mask position with numpy : 1.1030025482177734 nb_pixel_total : 6043996 time to create 1 rle with new method : 0.6385583877563477 time for calcul the mask position with numpy : 0.029248476028442383 nb_pixel_total : 19256 time to create 1 rle with old method : 0.022127866744995117 time for calcul the mask position with numpy : 0.030112504959106445 nb_pixel_total : 53512 time to create 1 rle with old method : 0.06320977210998535 time for calcul the mask position with numpy : 0.028967618942260742 nb_pixel_total : 49983 time to create 1 rle with old method : 0.05677032470703125 time for calcul the mask position with numpy : 0.030954599380493164 nb_pixel_total : 8150 time to create 1 rle with old method : 0.009650707244873047 time for calcul the mask position with numpy : 0.03469395637512207 nb_pixel_total : 18917 time to create 1 rle with old method : 0.02215266227722168 time for calcul the mask position with numpy : 0.029372215270996094 nb_pixel_total : 9622 time to create 1 rle with old method : 0.011011838912963867 time for calcul the mask position with numpy : 0.029544591903686523 nb_pixel_total : 35595 time to create 1 rle with old method : 0.040380239486694336 time for calcul the mask position with numpy : 0.029509782791137695 nb_pixel_total : 31840 time to create 1 rle with old method : 0.03548264503479004 time for calcul the mask position with numpy : 0.030513525009155273 nb_pixel_total : 45416 time to create 1 rle with old method : 0.05341649055480957 time for calcul the mask position with numpy : 0.02911829948425293 nb_pixel_total : 55201 time to create 1 rle with old method : 0.0725858211517334 time for calcul the mask position with numpy : 0.033098697662353516 nb_pixel_total : 38851 time to create 1 rle with old method : 0.05965709686279297 time for calcul the mask position with numpy : 0.04439854621887207 nb_pixel_total : 7722 time to create 1 rle with old method : 0.013031482696533203 time for calcul the mask position with numpy : 0.03527474403381348 nb_pixel_total : 10908 time to create 1 rle with old method : 0.01221013069152832 time for calcul the mask position with numpy : 0.030839920043945312 nb_pixel_total : 41567 time to create 1 rle with old method : 0.06635808944702148 time for calcul the mask position with numpy : 0.035750627517700195 nb_pixel_total : 18836 time to create 1 rle with old method : 0.02660846710205078 time for calcul the mask position with numpy : 0.02931952476501465 nb_pixel_total : 43362 time to create 1 rle with old method : 0.0483551025390625 time for calcul the mask position with numpy : 0.029167652130126953 nb_pixel_total : 66583 time to create 1 rle with old method : 0.07419085502624512 time for calcul the mask position with numpy : 0.029131650924682617 nb_pixel_total : 15779 time to create 1 rle with old method : 0.01766037940979004 time for calcul the mask position with numpy : 0.029514074325561523 nb_pixel_total : 20361 time to create 1 rle with old method : 0.023067235946655273 time for calcul the mask position with numpy : 0.029660463333129883 nb_pixel_total : 33006 time to create 1 rle with old method : 0.0369565486907959 time for calcul the mask position with numpy : 0.02958822250366211 nb_pixel_total : 42781 time to create 1 rle with old method : 0.04788374900817871 time for calcul the mask position with numpy : 0.029746294021606445 nb_pixel_total : 39195 time to create 1 rle with old method : 0.04400014877319336 time for calcul the mask position with numpy : 0.030406713485717773 nb_pixel_total : 88764 time to create 1 rle with old method : 0.1005864143371582 time for calcul the mask position with numpy : 0.029268503189086914 nb_pixel_total : 981 time to create 1 rle with old method : 0.0012440681457519531 time for calcul the mask position with numpy : 0.031327009201049805 nb_pixel_total : 186511 time to create 1 rle with new method : 0.8787662982940674 time for calcul the mask position with numpy : 0.0315394401550293 nb_pixel_total : 11792 time to create 1 rle with old method : 0.019541501998901367 time for calcul the mask position with numpy : 0.03332853317260742 nb_pixel_total : 11753 time to create 1 rle with old method : 0.013705253601074219 create new chi : 4.519209623336792 time to delete rle : 0.002890348434448242 batch 1 Loaded 68 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 16746 TO DO : save crop sub photo not yet done ! save time : 1.0153744220733643 nb_obj : 42 nb_hashtags : 3 time to prepare the origin masks : 13.43739938735962 time for calcul the mask position with numpy : 0.4342970848083496 nb_pixel_total : 5580506 time to create 1 rle with new method : 1.0284919738769531 time for calcul the mask position with numpy : 0.02996206283569336 nb_pixel_total : 15422 time to create 1 rle with old method : 0.017465829849243164 time for calcul the mask position with numpy : 0.030533313751220703 nb_pixel_total : 14560 time to create 1 rle with old method : 0.024075984954833984 time for calcul the mask position with numpy : 0.03422904014587402 nb_pixel_total : 22684 time to create 1 rle with old method : 0.02698540687561035 time for calcul the mask position with numpy : 0.029181241989135742 nb_pixel_total : 31117 time to create 1 rle with old method : 0.03357219696044922 time for calcul the mask position with numpy : 0.028534650802612305 nb_pixel_total : 2970 time to create 1 rle with old method : 0.003837108612060547 time for calcul the mask position with numpy : 0.029302597045898438 nb_pixel_total : 48526 time to create 1 rle with old method : 0.06597423553466797 time for calcul the mask position with numpy : 0.03377127647399902 nb_pixel_total : 28453 time to create 1 rle with old method : 0.04804205894470215 time for calcul the mask position with numpy : 0.029220104217529297 nb_pixel_total : 14983 time to create 1 rle with old method : 0.015836477279663086 time for calcul the mask position with numpy : 0.028640031814575195 nb_pixel_total : 9388 time to create 1 rle with old method : 0.010528087615966797 time for calcul the mask position with numpy : 0.02879166603088379 nb_pixel_total : 39049 time to create 1 rle with old method : 0.042197465896606445 time for calcul the mask position with numpy : 0.028178930282592773 nb_pixel_total : 16831 time to create 1 rle with old method : 0.017638683319091797 time for calcul the mask position with numpy : 0.02733135223388672 nb_pixel_total : 23194 time to create 1 rle with old method : 0.02582097053527832 time for calcul the mask position with numpy : 0.029376506805419922 nb_pixel_total : 37447 time to create 1 rle with old method : 0.04109334945678711 time for calcul the mask position with numpy : 0.029947996139526367 nb_pixel_total : 22214 time to create 1 rle with old method : 0.024797677993774414 time for calcul the mask position with numpy : 0.031537771224975586 nb_pixel_total : 142164 time to create 1 rle with old method : 0.16393494606018066 time for calcul the mask position with numpy : 0.029761791229248047 nb_pixel_total : 67098 time to create 1 rle with old method : 0.0730743408203125 time for calcul the mask position with numpy : 0.02997422218322754 nb_pixel_total : 143912 time to create 1 rle with old method : 0.15708684921264648 time for calcul the mask position with numpy : 0.029671192169189453 nb_pixel_total : 6014 time to create 1 rle with old method : 0.006780862808227539 time for calcul the mask position with numpy : 0.02974867820739746 nb_pixel_total : 15358 time to create 1 rle with old method : 0.017295122146606445 time for calcul the mask position with numpy : 0.029561281204223633 nb_pixel_total : 7986 time to create 1 rle with old method : 0.00896310806274414 time for calcul the mask position with numpy : 0.03022480010986328 nb_pixel_total : 41261 time to create 1 rle with old method : 0.045891523361206055 time for calcul the mask position with numpy : 0.030611515045166016 nb_pixel_total : 77359 time to create 1 rle with old method : 0.08644342422485352 time for calcul the mask position with numpy : 0.029815673828125 nb_pixel_total : 33505 time to create 1 rle with old method : 0.03728461265563965 time for calcul the mask position with numpy : 0.031391143798828125 nb_pixel_total : 81679 time to create 1 rle with old method : 0.14342021942138672 time for calcul the mask position with numpy : 0.036740779876708984 nb_pixel_total : 17400 time to create 1 rle with old method : 0.019257545471191406 time for calcul the mask position with numpy : 0.028458595275878906 nb_pixel_total : 1226 time to create 1 rle with old method : 0.0014739036560058594 time for calcul the mask position with numpy : 0.02877211570739746 nb_pixel_total : 10792 time to create 1 rle with old method : 0.011568546295166016 time for calcul the mask position with numpy : 0.02820420265197754 nb_pixel_total : 14072 time to create 1 rle with old method : 0.015052556991577148 time for calcul the mask position with numpy : 0.027858495712280273 nb_pixel_total : 18860 time to create 1 rle with old method : 0.020174503326416016 time for calcul the mask position with numpy : 0.028069257736206055 nb_pixel_total : 18932 time to create 1 rle with old method : 0.020136594772338867 time for calcul the mask position with numpy : 0.028083324432373047 nb_pixel_total : 25239 time to create 1 rle with old method : 0.03096914291381836 time for calcul the mask position with numpy : 0.03219342231750488 nb_pixel_total : 16866 time to create 1 rle with old method : 0.01831817626953125 time for calcul the mask position with numpy : 0.029120445251464844 nb_pixel_total : 74180 time to create 1 rle with old method : 0.08088517189025879 time for calcul the mask position with numpy : 0.02809906005859375 nb_pixel_total : 18474 time to create 1 rle with old method : 0.01990985870361328 time for calcul the mask position with numpy : 0.027971267700195312 nb_pixel_total : 28544 time to create 1 rle with old method : 0.030587196350097656 time for calcul the mask position with numpy : 0.029363393783569336 nb_pixel_total : 85940 time to create 1 rle with old method : 0.09316182136535645 time for calcul the mask position with numpy : 0.029225826263427734 nb_pixel_total : 23333 time to create 1 rle with old method : 0.02616262435913086 time for calcul the mask position with numpy : 0.030260324478149414 nb_pixel_total : 68675 time to create 1 rle with old method : 0.0974569320678711 time for calcul the mask position with numpy : 0.029463529586791992 nb_pixel_total : 15107 time to create 1 rle with old method : 0.016991615295410156 time for calcul the mask position with numpy : 0.029303550720214844 nb_pixel_total : 52765 time to create 1 rle with old method : 0.05945396423339844 time for calcul the mask position with numpy : 0.02918410301208496 nb_pixel_total : 11619 time to create 1 rle with old method : 0.012972831726074219 time for calcul the mask position with numpy : 0.02909398078918457 nb_pixel_total : 24536 time to create 1 rle with old method : 0.027355194091796875 create new chi : 4.4968695640563965 time to delete rle : 0.0077092647552490234 batch 1 Loaded 103 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 20770 TO DO : save crop sub photo not yet done ! save time : 1.2601616382598877 nb_obj : 30 nb_hashtags : 4 time to prepare the origin masks : 13.110639095306396 time for calcul the mask position with numpy : 0.4701964855194092 nb_pixel_total : 5998844 time to create 1 rle with new method : 0.6814961433410645 time for calcul the mask position with numpy : 0.030808448791503906 nb_pixel_total : 54558 time to create 1 rle with old method : 0.05973696708679199 time for calcul the mask position with numpy : 0.028913259506225586 nb_pixel_total : 45545 time to create 1 rle with old method : 0.0525364875793457 time for calcul the mask position with numpy : 0.028466463088989258 nb_pixel_total : 47023 time to create 1 rle with old method : 0.05117630958557129 time for calcul the mask position with numpy : 0.027655363082885742 nb_pixel_total : 2608 time to create 1 rle with old method : 0.0030541419982910156 time for calcul the mask position with numpy : 0.027754545211791992 nb_pixel_total : 26686 time to create 1 rle with old method : 0.028929948806762695 time for calcul the mask position with numpy : 0.02875685691833496 nb_pixel_total : 108606 time to create 1 rle with old method : 0.11658501625061035 time for calcul the mask position with numpy : 0.028380155563354492 nb_pixel_total : 31079 time to create 1 rle with old method : 0.033243417739868164 time for calcul the mask position with numpy : 0.027459383010864258 nb_pixel_total : 23367 time to create 1 rle with old method : 0.025958776473999023 time for calcul the mask position with numpy : 0.028657913208007812 nb_pixel_total : 38405 time to create 1 rle with old method : 0.041623592376708984 time for calcul the mask position with numpy : 0.028311729431152344 nb_pixel_total : 20549 time to create 1 rle with old method : 0.022528886795043945 time for calcul the mask position with numpy : 0.028380870819091797 nb_pixel_total : 27359 time to create 1 rle with old method : 0.029163837432861328 time for calcul the mask position with numpy : 0.028684616088867188 nb_pixel_total : 20050 time to create 1 rle with old method : 0.021422624588012695 time for calcul the mask position with numpy : 0.02798295021057129 nb_pixel_total : 28172 time to create 1 rle with old method : 0.030997514724731445 time for calcul the mask position with numpy : 0.02796006202697754 nb_pixel_total : 23701 time to create 1 rle with old method : 0.026365041732788086 time for calcul the mask position with numpy : 0.028174400329589844 nb_pixel_total : 18372 time to create 1 rle with old method : 0.019834041595458984 time for calcul the mask position with numpy : 0.02792835235595703 nb_pixel_total : 17590 time to create 1 rle with old method : 0.019573688507080078 time for calcul the mask position with numpy : 0.02854323387145996 nb_pixel_total : 26190 time to create 1 rle with old method : 0.02877640724182129 time for calcul the mask position with numpy : 0.028700828552246094 nb_pixel_total : 27476 time to create 1 rle with old method : 0.03197979927062988 time for calcul the mask position with numpy : 0.03061056137084961 nb_pixel_total : 69898 time to create 1 rle with old method : 0.07642674446105957 time for calcul the mask position with numpy : 0.028232336044311523 nb_pixel_total : 20103 time to create 1 rle with old method : 0.0219419002532959 time for calcul the mask position with numpy : 0.02800440788269043 nb_pixel_total : 43895 time to create 1 rle with old method : 0.048013925552368164 time for calcul the mask position with numpy : 0.02763843536376953 nb_pixel_total : 63625 time to create 1 rle with old method : 0.06931662559509277 time for calcul the mask position with numpy : 0.0277559757232666 nb_pixel_total : 16120 time to create 1 rle with old method : 0.017302989959716797 time for calcul the mask position with numpy : 0.0278322696685791 nb_pixel_total : 37964 time to create 1 rle with old method : 0.04047584533691406 time for calcul the mask position with numpy : 0.02810072898864746 nb_pixel_total : 24392 time to create 1 rle with old method : 0.039700984954833984 time for calcul the mask position with numpy : 0.03285980224609375 nb_pixel_total : 31477 time to create 1 rle with old method : 0.03985881805419922 time for calcul the mask position with numpy : 0.028042078018188477 nb_pixel_total : 9611 time to create 1 rle with old method : 0.010446310043334961 time for calcul the mask position with numpy : 0.027613401412963867 nb_pixel_total : 3147 time to create 1 rle with old method : 0.0034787654876708984 time for calcul the mask position with numpy : 0.02791571617126465 nb_pixel_total : 112312 time to create 1 rle with old method : 0.11590003967285156 time for calcul the mask position with numpy : 0.026686906814575195 nb_pixel_total : 31516 time to create 1 rle with old method : 0.033881187438964844 create new chi : 3.20029616355896 time to delete rle : 0.002583742141723633 batch 1 Loaded 77 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 16751 TO DO : save crop sub photo not yet done ! save time : 1.1321215629577637 nb_obj : 13 nb_hashtags : 3 time to prepare the origin masks : 5.046604633331299 time for calcul the mask position with numpy : 0.8123681545257568 nb_pixel_total : 6774362 time to create 1 rle with new method : 0.6247057914733887 time for calcul the mask position with numpy : 0.02934408187866211 nb_pixel_total : 12663 time to create 1 rle with old method : 0.014592885971069336 time for calcul the mask position with numpy : 0.0303189754486084 nb_pixel_total : 47011 time to create 1 rle with old method : 0.05431056022644043 time for calcul the mask position with numpy : 0.02901172637939453 nb_pixel_total : 17190 time to create 1 rle with old method : 0.019229650497436523 time for calcul the mask position with numpy : 0.02868175506591797 nb_pixel_total : 13402 time to create 1 rle with old method : 0.015024423599243164 time for calcul the mask position with numpy : 0.029132604598999023 nb_pixel_total : 14561 time to create 1 rle with old method : 0.01630854606628418 time for calcul the mask position with numpy : 0.029565095901489258 nb_pixel_total : 67310 time to create 1 rle with old method : 0.07374453544616699 time for calcul the mask position with numpy : 0.02837204933166504 nb_pixel_total : 17434 time to create 1 rle with old method : 0.019314289093017578 time for calcul the mask position with numpy : 0.028165340423583984 nb_pixel_total : 12039 time to create 1 rle with old method : 0.01301431655883789 time for calcul the mask position with numpy : 0.028295278549194336 nb_pixel_total : 27655 time to create 1 rle with old method : 0.03011465072631836 time for calcul the mask position with numpy : 0.027736902236938477 nb_pixel_total : 9249 time to create 1 rle with old method : 0.010024309158325195 time for calcul the mask position with numpy : 0.028439044952392578 nb_pixel_total : 10732 time to create 1 rle with old method : 0.011615276336669922 time for calcul the mask position with numpy : 0.028557300567626953 nb_pixel_total : 13506 time to create 1 rle with old method : 0.014791011810302734 time for calcul the mask position with numpy : 0.028160810470581055 nb_pixel_total : 13126 time to create 1 rle with old method : 0.014400482177734375 create new chi : 2.151120662689209 time to delete rle : 0.0011212825775146484 batch 1 Loaded 35 chid ids of type : 3594 +++++++++++++Number RLEs to save : 6918 TO DO : save crop sub photo not yet done ! save time : 0.4237487316131592 nb_obj : 42 nb_hashtags : 5 time to prepare the origin masks : 16.858129262924194 time for calcul the mask position with numpy : 0.5322110652923584 nb_pixel_total : 5790893 time to create 1 rle with new method : 0.6661248207092285 time for calcul the mask position with numpy : 0.028810739517211914 nb_pixel_total : 2776 time to create 1 rle with old method : 0.003205537796020508 time for calcul the mask position with numpy : 0.02870488166809082 nb_pixel_total : 23062 time to create 1 rle with old method : 0.025455951690673828 time for calcul the mask position with numpy : 0.031618595123291016 nb_pixel_total : 10576 time to create 1 rle with old method : 0.012440204620361328 time for calcul the mask position with numpy : 0.029091596603393555 nb_pixel_total : 10306 time to create 1 rle with old method : 0.015161991119384766 time for calcul the mask position with numpy : 0.02906036376953125 nb_pixel_total : 42 time to create 1 rle with old method : 0.0002124309539794922 time for calcul the mask position with numpy : 0.0291440486907959 nb_pixel_total : 10234 time to create 1 rle with old method : 0.016941547393798828 time for calcul the mask position with numpy : 0.03277444839477539 nb_pixel_total : 16287 time to create 1 rle with old method : 0.02642202377319336 time for calcul the mask position with numpy : 0.02952432632446289 nb_pixel_total : 9957 time to create 1 rle with old method : 0.011052131652832031 time for calcul the mask position with numpy : 0.027819156646728516 nb_pixel_total : 35977 time to create 1 rle with old method : 0.03871011734008789 time for calcul the mask position with numpy : 0.028325319290161133 nb_pixel_total : 11475 time to create 1 rle with old method : 0.012473583221435547 time for calcul the mask position with numpy : 0.028526782989501953 nb_pixel_total : 14307 time to create 1 rle with old method : 0.01564335823059082 time for calcul the mask position with numpy : 0.028717517852783203 nb_pixel_total : 148 time to create 1 rle with old method : 0.0002999305725097656 time for calcul the mask position with numpy : 0.02896738052368164 nb_pixel_total : 38028 time to create 1 rle with old method : 0.04237866401672363 time for calcul the mask position with numpy : 0.028969526290893555 nb_pixel_total : 20515 time to create 1 rle with old method : 0.022476673126220703 time for calcul the mask position with numpy : 0.028230667114257812 nb_pixel_total : 45427 time to create 1 rle with old method : 0.049916744232177734 time for calcul the mask position with numpy : 0.02794027328491211 nb_pixel_total : 16991 time to create 1 rle with old method : 0.01883840560913086 time for calcul the mask position with numpy : 0.028415918350219727 nb_pixel_total : 126920 time to create 1 rle with old method : 0.1372690200805664 time for calcul the mask position with numpy : 0.028596162796020508 nb_pixel_total : 69273 time to create 1 rle with old method : 0.07814979553222656 time for calcul the mask position with numpy : 0.029385805130004883 nb_pixel_total : 36401 time to create 1 rle with old method : 0.04224348068237305 time for calcul the mask position with numpy : 0.02985095977783203 nb_pixel_total : 4420 time to create 1 rle with old method : 0.0051746368408203125 time for calcul the mask position with numpy : 0.029649972915649414 nb_pixel_total : 19658 time to create 1 rle with old method : 0.02208566665649414 time for calcul the mask position with numpy : 0.028957128524780273 nb_pixel_total : 41096 time to create 1 rle with old method : 0.04523897171020508 time for calcul the mask position with numpy : 0.028344392776489258 nb_pixel_total : 6842 time to create 1 rle with old method : 0.0076296329498291016 time for calcul the mask position with numpy : 0.028337478637695312 nb_pixel_total : 11769 time to create 1 rle with old method : 0.013156890869140625 time for calcul the mask position with numpy : 0.028904438018798828 nb_pixel_total : 39377 time to create 1 rle with old method : 0.05419921875 time for calcul the mask position with numpy : 0.03216910362243652 nb_pixel_total : 19205 time to create 1 rle with old method : 0.021554231643676758 time for calcul the mask position with numpy : 0.033100128173828125 nb_pixel_total : 25840 time to create 1 rle with old method : 0.029692649841308594 time for calcul the mask position with numpy : 0.03106975555419922 nb_pixel_total : 34686 time to create 1 rle with old method : 0.04156923294067383 time for calcul the mask position with numpy : 0.029412269592285156 nb_pixel_total : 9768 time to create 1 rle with old method : 0.011109113693237305 time for calcul the mask position with numpy : 0.03200793266296387 nb_pixel_total : 37332 time to create 1 rle with old method : 0.04297065734863281 time for calcul the mask position with numpy : 0.031621694564819336 nb_pixel_total : 15455 time to create 1 rle with old method : 0.01733851432800293 time for calcul the mask position with numpy : 0.028886795043945312 nb_pixel_total : 11928 time to create 1 rle with old method : 0.01343393325805664 time for calcul the mask position with numpy : 0.02904057502746582 nb_pixel_total : 11231 time to create 1 rle with old method : 0.012584447860717773 time for calcul the mask position with numpy : 0.030940532684326172 nb_pixel_total : 7857 time to create 1 rle with old method : 0.013537883758544922 time for calcul the mask position with numpy : 0.03639507293701172 nb_pixel_total : 81814 time to create 1 rle with old method : 0.12603211402893066 time for calcul the mask position with numpy : 0.029059648513793945 nb_pixel_total : 19852 time to create 1 rle with old method : 0.023820161819458008 time for calcul the mask position with numpy : 0.029175758361816406 nb_pixel_total : 56242 time to create 1 rle with old method : 0.0656428337097168 time for calcul the mask position with numpy : 0.029160261154174805 nb_pixel_total : 52369 time to create 1 rle with old method : 0.07644248008728027 time for calcul the mask position with numpy : 0.03312516212463379 nb_pixel_total : 44031 time to create 1 rle with old method : 0.05039072036743164 time for calcul the mask position with numpy : 0.02892327308654785 nb_pixel_total : 26612 time to create 1 rle with old method : 0.02958393096923828 time for calcul the mask position with numpy : 0.029253005981445312 nb_pixel_total : 77793 time to create 1 rle with old method : 0.10143780708312988 time for calcul the mask position with numpy : 0.0337367057800293 nb_pixel_total : 105468 time to create 1 rle with old method : 0.11765360832214355 create new chi : 3.9995992183685303 time to delete rle : 0.0035753250122070312 batch 1 Loaded 107 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 20424 TO DO : save crop sub photo not yet done ! save time : 1.2866604328155518 nb_obj : 18 nb_hashtags : 4 time to prepare the origin masks : 7.081884384155273 time for calcul the mask position with numpy : 0.49596619606018066 nb_pixel_total : 6422291 time to create 1 rle with new method : 0.887916088104248 time for calcul the mask position with numpy : 0.029102802276611328 nb_pixel_total : 52391 time to create 1 rle with old method : 0.060552120208740234 time for calcul the mask position with numpy : 0.02956533432006836 nb_pixel_total : 44718 time to create 1 rle with old method : 0.05315113067626953 time for calcul the mask position with numpy : 0.02851581573486328 nb_pixel_total : 29632 time to create 1 rle with old method : 0.03188967704772949 time for calcul the mask position with numpy : 0.028139114379882812 nb_pixel_total : 11102 time to create 1 rle with old method : 0.012660026550292969 time for calcul the mask position with numpy : 0.029016494750976562 nb_pixel_total : 36160 time to create 1 rle with old method : 0.03916764259338379 time for calcul the mask position with numpy : 0.02793264389038086 nb_pixel_total : 13608 time to create 1 rle with old method : 0.014801979064941406 time for calcul the mask position with numpy : 0.02769756317138672 nb_pixel_total : 12287 time to create 1 rle with old method : 0.013333320617675781 time for calcul the mask position with numpy : 0.027881383895874023 nb_pixel_total : 12664 time to create 1 rle with old method : 0.014010190963745117 time for calcul the mask position with numpy : 0.02865910530090332 nb_pixel_total : 42590 time to create 1 rle with old method : 0.04843497276306152 time for calcul the mask position with numpy : 0.03003668785095215 nb_pixel_total : 30274 time to create 1 rle with old method : 0.03390145301818848 time for calcul the mask position with numpy : 0.030005693435668945 nb_pixel_total : 2450 time to create 1 rle with old method : 0.00436854362487793 time for calcul the mask position with numpy : 0.03366351127624512 nb_pixel_total : 70792 time to create 1 rle with old method : 0.08812236785888672 time for calcul the mask position with numpy : 0.028743743896484375 nb_pixel_total : 33226 time to create 1 rle with old method : 0.03607177734375 time for calcul the mask position with numpy : 0.0281064510345459 nb_pixel_total : 44610 time to create 1 rle with old method : 0.048537254333496094 time for calcul the mask position with numpy : 0.029157638549804688 nb_pixel_total : 169167 time to create 1 rle with new method : 1.977419137954712 time for calcul the mask position with numpy : 0.027800798416137695 nb_pixel_total : 420 time to create 1 rle with old method : 0.0009660720825195312 time for calcul the mask position with numpy : 0.02819228172302246 nb_pixel_total : 21573 time to create 1 rle with old method : 0.023246288299560547 time for calcul the mask position with numpy : 0.028310537338256836 nb_pixel_total : 285 time to create 1 rle with old method : 0.0006718635559082031 create new chi : 4.475081205368042 time to delete rle : 0.0024454593658447266 batch 1 Loaded 46 chid ids of type : 3594 ++++++++++++++++++++++++Number RLEs to save : 11162 TO DO : save crop sub photo not yet done ! save time : 0.7015085220336914 nb_obj : 26 nb_hashtags : 3 time to prepare the origin masks : 7.813153982162476 time for calcul the mask position with numpy : 0.5925307273864746 nb_pixel_total : 6522624 time to create 1 rle with new method : 0.521104097366333 time for calcul the mask position with numpy : 0.029397964477539062 nb_pixel_total : 21176 time to create 1 rle with old method : 0.02421092987060547 time for calcul the mask position with numpy : 0.029370784759521484 nb_pixel_total : 6454 time to create 1 rle with old method : 0.007405281066894531 time for calcul the mask position with numpy : 0.029522180557250977 nb_pixel_total : 5237 time to create 1 rle with old method : 0.006053924560546875 time for calcul the mask position with numpy : 0.030679941177368164 nb_pixel_total : 13056 time to create 1 rle with old method : 0.014723539352416992 time for calcul the mask position with numpy : 0.03007221221923828 nb_pixel_total : 4398 time to create 1 rle with old method : 0.005027055740356445 time for calcul the mask position with numpy : 0.0296781063079834 nb_pixel_total : 24179 time to create 1 rle with old method : 0.02790355682373047 time for calcul the mask position with numpy : 0.029651165008544922 nb_pixel_total : 34861 time to create 1 rle with old method : 0.059468984603881836 time for calcul the mask position with numpy : 0.038176774978637695 nb_pixel_total : 30972 time to create 1 rle with old method : 0.03504037857055664 time for calcul the mask position with numpy : 0.03140711784362793 nb_pixel_total : 25494 time to create 1 rle with old method : 0.029546022415161133 time for calcul the mask position with numpy : 0.029747486114501953 nb_pixel_total : 7311 time to create 1 rle with old method : 0.008241653442382812 time for calcul the mask position with numpy : 0.03085947036743164 nb_pixel_total : 50791 time to create 1 rle with old method : 0.057433128356933594 time for calcul the mask position with numpy : 0.03186941146850586 nb_pixel_total : 90701 time to create 1 rle with old method : 0.10410666465759277 time for calcul the mask position with numpy : 0.029929637908935547 nb_pixel_total : 50593 time to create 1 rle with old method : 0.056583404541015625 time for calcul the mask position with numpy : 0.030050039291381836 nb_pixel_total : 14147 time to create 1 rle with old method : 0.01586771011352539 time for calcul the mask position with numpy : 0.0296323299407959 nb_pixel_total : 783 time to create 1 rle with old method : 0.0011086463928222656 time for calcul the mask position with numpy : 0.029052734375 nb_pixel_total : 495 time to create 1 rle with old method : 0.0008006095886230469 time for calcul the mask position with numpy : 0.029072284698486328 nb_pixel_total : 51691 time to create 1 rle with old method : 0.05704951286315918 time for calcul the mask position with numpy : 0.029474735260009766 nb_pixel_total : 12065 time to create 1 rle with old method : 0.013561725616455078 time for calcul the mask position with numpy : 0.029611825942993164 nb_pixel_total : 19750 time to create 1 rle with old method : 0.02207040786743164 time for calcul the mask position with numpy : 0.029294967651367188 nb_pixel_total : 320 time to create 1 rle with old method : 0.0005197525024414062 time for calcul the mask position with numpy : 0.029268264770507812 nb_pixel_total : 13045 time to create 1 rle with old method : 0.014700651168823242 time for calcul the mask position with numpy : 0.02927398681640625 nb_pixel_total : 6641 time to create 1 rle with old method : 0.007527828216552734 time for calcul the mask position with numpy : 0.029474973678588867 nb_pixel_total : 15168 time to create 1 rle with old method : 0.017090797424316406 time for calcul the mask position with numpy : 0.03274416923522949 nb_pixel_total : 13144 time to create 1 rle with old method : 0.02112579345703125 time for calcul the mask position with numpy : 0.03882622718811035 nb_pixel_total : 15105 time to create 1 rle with old method : 0.022259235382080078 time for calcul the mask position with numpy : 0.029715776443481445 nb_pixel_total : 39 time to create 1 rle with old method : 0.00017642974853515625 create new chi : 2.583838701248169 time to delete rle : 0.0033714771270751953 batch 1 Loaded 66 chid ids of type : 3594 +++++++++++++++++++++++++++++++Number RLEs to save : 11578 TO DO : save crop sub photo not yet done ! save time : 0.7057602405548096 nb_obj : 17 nb_hashtags : 4 time to prepare the origin masks : 6.281977415084839 time for calcul the mask position with numpy : 0.4109683036804199 nb_pixel_total : 5909945 time to create 1 rle with new method : 0.5884840488433838 time for calcul the mask position with numpy : 0.029506206512451172 nb_pixel_total : 149070 time to create 1 rle with old method : 0.16518640518188477 time for calcul the mask position with numpy : 0.028794050216674805 nb_pixel_total : 21541 time to create 1 rle with old method : 0.02392864227294922 time for calcul the mask position with numpy : 0.030355453491210938 nb_pixel_total : 385869 time to create 1 rle with new method : 0.4088430404663086 time for calcul the mask position with numpy : 0.028829574584960938 nb_pixel_total : 10687 time to create 1 rle with old method : 0.011885643005371094 time for calcul the mask position with numpy : 0.029234647750854492 nb_pixel_total : 154732 time to create 1 rle with new method : 0.4187498092651367 time for calcul the mask position with numpy : 0.028868436813354492 nb_pixel_total : 38335 time to create 1 rle with old method : 0.04241132736206055 time for calcul the mask position with numpy : 0.028990507125854492 nb_pixel_total : 34819 time to create 1 rle with old method : 0.03880047798156738 time for calcul the mask position with numpy : 0.02869129180908203 nb_pixel_total : 10488 time to create 1 rle with old method : 0.011596918106079102 time for calcul the mask position with numpy : 0.028899431228637695 nb_pixel_total : 57437 time to create 1 rle with old method : 0.06374621391296387 time for calcul the mask position with numpy : 0.029109954833984375 nb_pixel_total : 60943 time to create 1 rle with old method : 0.06849241256713867 time for calcul the mask position with numpy : 0.029183626174926758 nb_pixel_total : 32542 time to create 1 rle with old method : 0.036546945571899414 time for calcul the mask position with numpy : 0.029654502868652344 nb_pixel_total : 44538 time to create 1 rle with old method : 0.04969429969787598 time for calcul the mask position with numpy : 0.028875350952148438 nb_pixel_total : 53 time to create 1 rle with old method : 0.00017380714416503906 time for calcul the mask position with numpy : 0.028923511505126953 nb_pixel_total : 53151 time to create 1 rle with old method : 0.059180259704589844 time for calcul the mask position with numpy : 0.028830289840698242 nb_pixel_total : 1275 time to create 1 rle with old method : 0.0018610954284667969 time for calcul the mask position with numpy : 0.029286623001098633 nb_pixel_total : 74644 time to create 1 rle with old method : 0.08234357833862305 time for calcul the mask position with numpy : 0.02895808219909668 nb_pixel_total : 10171 time to create 1 rle with old method : 0.011394739151000977 create new chi : 3.0704445838928223 time to delete rle : 0.0019519329071044922 batch 1 Loaded 44 chid ids of type : 3594 ++++++++++++++++++Number RLEs to save : 12336 TO DO : save crop sub photo not yet done ! save time : 0.7562601566314697 nb_obj : 21 nb_hashtags : 3 time to prepare the origin masks : 8.816814422607422 time for calcul the mask position with numpy : 0.44463086128234863 nb_pixel_total : 5660065 time to create 1 rle with new method : 0.6281399726867676 time for calcul the mask position with numpy : 0.02927994728088379 nb_pixel_total : 61332 time to create 1 rle with old method : 0.06817221641540527 time for calcul the mask position with numpy : 0.028986454010009766 nb_pixel_total : 1079 time to create 1 rle with old method : 0.0016529560089111328 time for calcul the mask position with numpy : 0.0299222469329834 nb_pixel_total : 143198 time to create 1 rle with old method : 0.16690516471862793 time for calcul the mask position with numpy : 0.030860424041748047 nb_pixel_total : 14730 time to create 1 rle with old method : 0.016539573669433594 time for calcul the mask position with numpy : 0.02937030792236328 nb_pixel_total : 112933 time to create 1 rle with old method : 0.13928866386413574 time for calcul the mask position with numpy : 0.030358076095581055 nb_pixel_total : 238240 time to create 1 rle with new method : 0.7941484451293945 time for calcul the mask position with numpy : 0.029270410537719727 nb_pixel_total : 8571 time to create 1 rle with old method : 0.009711265563964844 time for calcul the mask position with numpy : 0.029241323471069336 nb_pixel_total : 9720 time to create 1 rle with old method : 0.01087641716003418 time for calcul the mask position with numpy : 0.029287099838256836 nb_pixel_total : 8914 time to create 1 rle with old method : 0.010016441345214844 time for calcul the mask position with numpy : 0.030211448669433594 nb_pixel_total : 47961 time to create 1 rle with old method : 0.05358600616455078 time for calcul the mask position with numpy : 0.02979731559753418 nb_pixel_total : 6763 time to create 1 rle with old method : 0.00766754150390625 time for calcul the mask position with numpy : 0.030953168869018555 nb_pixel_total : 23522 time to create 1 rle with old method : 0.026302814483642578 time for calcul the mask position with numpy : 0.030272722244262695 nb_pixel_total : 50569 time to create 1 rle with old method : 0.0567474365234375 time for calcul the mask position with numpy : 0.03216218948364258 nb_pixel_total : 152886 time to create 1 rle with new method : 0.617983341217041 time for calcul the mask position with numpy : 0.030037403106689453 nb_pixel_total : 29101 time to create 1 rle with old method : 0.0337982177734375 time for calcul the mask position with numpy : 0.03555631637573242 nb_pixel_total : 261574 time to create 1 rle with new method : 0.43636512756347656 time for calcul the mask position with numpy : 0.032108306884765625 nb_pixel_total : 39723 time to create 1 rle with old method : 0.04502725601196289 time for calcul the mask position with numpy : 0.0296938419342041 nb_pixel_total : 109421 time to create 1 rle with old method : 0.12284517288208008 time for calcul the mask position with numpy : 0.029973745346069336 nb_pixel_total : 25957 time to create 1 rle with old method : 0.029091596603393555 time for calcul the mask position with numpy : 0.030050039291381836 nb_pixel_total : 19617 time to create 1 rle with old method : 0.021856307983398438 time for calcul the mask position with numpy : 0.029200315475463867 nb_pixel_total : 24364 time to create 1 rle with old method : 0.027365446090698242 create new chi : 4.525742292404175 time to delete rle : 0.004294633865356445 batch 1 Loaded 56 chid ids of type : 3594 +++++++++++++++++++++++++++Number RLEs to save : 14599 TO DO : save crop sub photo not yet done ! save time : 0.8254320621490479 map_output_result : {1349966732: (0.0, 'Should be the crop_list due to order', 0), 1349966660: (0.0, 'Should be the crop_list due to order', 0), 1349966354: (0.0, 'Should be the crop_list due to order', 0), 1349961943: (0.0, 'Should be the crop_list due to order', 0), 1349961891: (0.0, 'Should be the crop_list due to order', 0), 1349961839: (0.0, 'Should be the crop_list due to order', 0), 1349961800: (0.0, 'Should be the crop_list due to order', 0), 1349961767: (0.0, 'Should be the crop_list due to order', 0), 1349961734: (0.0, 'Should be the crop_list due to order', 0), 1349961640: (0.0, 'Should be the crop_list due to order', 0), 1349961635: (0.0, 'Should be the crop_list due to order', 0), 1349961631: (0.0, 'Should be the crop_list due to order', 0), 1349961616: (0.0, 'Should be the crop_list due to order', 0), 1349961516: (0.0, 'Should be the crop_list due to order', 0), 1349961428: (0.0, 'Should be the crop_list due to order', 0), 1349961376: (0.0, 'Should be the crop_list due to order', 0), 1349937321: (0.0, 'Should be the crop_list due to order', 0), 1349937155: (0.0, 'Should be the crop_list due to order', 0), 1349937147: (0.0, 'Should be the crop_list due to order', 0), 1349937135: (0.0, 'Should be the crop_list due to order', 0), 1349937081: (0.0, 'Should be the crop_list due to order', 0), 1349936992: (0.0, 'Should be the crop_list due to order', 0), 1349936918: (0.0, 'Should be the crop_list due to order', 0), 1349936837: (0.0, 'Should be the crop_list due to order', 0), 1349936733: (0.0, 'Should be the crop_list due to order', 0), 1349936730: (0.0, 'Should be the crop_list due to order', 0), 1349936639: (0.0, 'Should be the crop_list due to order', 0), 1349936585: (0.0, 'Should be the crop_list due to order', 0), 1349936572: (0.0, 'Should be the crop_list due to order', 0), 1349936545: (0.0, 'Should be the crop_list due to order', 0), 1349935734: (0.0, 'Should be the crop_list due to order', 0), 1349935703: (0.0, 'Should be the crop_list due to order', 0), 1349926878: (0.0, 'Should be the crop_list due to order', 0), 1349926869: (0.0, 'Should be the crop_list due to order', 0), 1349926855: (0.0, 'Should be the crop_list due to order', 0), 1349926843: (0.0, 'Should be the crop_list due to order', 0), 1349926834: (0.0, 'Should be the crop_list due to order', 0), 1349926735: (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 [1349966732, 1349966660, 1349966354, 1349961943, 1349961891, 1349961839, 1349961800, 1349961767, 1349961734, 1349961640, 1349961635, 1349961631, 1349961616, 1349961516, 1349961428, 1349961376, 1349937321, 1349937155, 1349937147, 1349937135, 1349937081, 1349936992, 1349936918, 1349936837, 1349936733, 1349936730, 1349936639, 1349936585, 1349936572, 1349936545, 1349935734, 1349935703, 1349926878, 1349926869, 1349926855, 1349926843, 1349926834, 1349926735] Looping around the photos to save general results len do output : 38 /1349966732.Didn't retrieve data . /1349966660.Didn't retrieve data . /1349966354.Didn't retrieve data . /1349961943.Didn't retrieve data . /1349961891.Didn't retrieve data . /1349961839.Didn't retrieve data . /1349961800.Didn't retrieve data . /1349961767.Didn't retrieve data . /1349961734.Didn't retrieve data . /1349961640.Didn't retrieve data . /1349961635.Didn't retrieve data . /1349961631.Didn't retrieve data . /1349961616.Didn't retrieve data . /1349961516.Didn't retrieve data . /1349961428.Didn't retrieve data . /1349961376.Didn't retrieve data . /1349937321.Didn't retrieve data . /1349937155.Didn't retrieve data . /1349937147.Didn't retrieve data . /1349937135.Didn't retrieve data . /1349937081.Didn't retrieve data . /1349936992.Didn't retrieve data . /1349936918.Didn't retrieve data . /1349936837.Didn't retrieve data . /1349936733.Didn't retrieve data . /1349936730.Didn't retrieve data . /1349936639.Didn't retrieve data . /1349936585.Didn't retrieve data . /1349936572.Didn't retrieve data . /1349936545.Didn't retrieve data . /1349935734.Didn't retrieve data . /1349935703.Didn't retrieve data . /1349926878.Didn't retrieve data . /1349926869.Didn't retrieve data . /1349926855.Didn't retrieve data . /1349926843.Didn't retrieve data . /1349926834.Didn't retrieve data . /1349926735.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, '2723483') ('3318', '22050503', '1349966732', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349966660', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349966354', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961943', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961891', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961839', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961800', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961767', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961734', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961640', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961635', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961631', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961616', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961516', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961428', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961376', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937321', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937155', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937147', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937135', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937081', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936992', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936918', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936837', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936733', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936730', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936639', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936585', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936572', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936545', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349935734', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349935703', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926878', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926869', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926855', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926843', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926834', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926735', None, None, None, None, None, '2723483') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 114 time used for this insertion : 0.01608896255493164 save_final save missing photos in datou_result : time spend for datou_step_exec : 462.9207615852356 time spend to save output : 0.017270326614379883 total time spend for step 3 : 462.93803191185 step4:ventilate_hashtags_in_portfolio Tue Apr 15 21:58:34 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 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 : 22050503 get user id for portfolio 22050503 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`=22050503 AND mptpi.`type`=3594 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('carton','pehd','autre','background','flou','mal_croppe','metal','papier','pet_clair','pet_fonce','environnement')) 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`=22050503 AND mptpi.`type`=3594 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('carton','pehd','autre','background','flou','mal_croppe','metal','papier','pet_clair','pet_fonce','environnement')) 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`=22050503 AND mptpi.`type`=3594 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('carton','pehd','autre','background','flou','mal_croppe','metal','papier','pet_clair','pet_fonce','environnement')) AND mptpi.`min_score`=0.5 To do lien utilise dans velours : https://www.fotonower.com/velours/22051230,22051231,22051232,22051233,22051234,22051235,22051236,22051237,22051238,22051239,22051240?tags=carton,pehd,autre,background,flou,mal_croppe,metal,papier,pet_clair,pet_fonce,environnement Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral [1349966732, 1349966660, 1349966354, 1349961943, 1349961891, 1349961839, 1349961800, 1349961767, 1349961734, 1349961640, 1349961635, 1349961631, 1349961616, 1349961516, 1349961428, 1349961376, 1349937321, 1349937155, 1349937147, 1349937135, 1349937081, 1349936992, 1349936918, 1349936837, 1349936733, 1349936730, 1349936639, 1349936585, 1349936572, 1349936545, 1349935734, 1349935703, 1349926878, 1349926869, 1349926855, 1349926843, 1349926834, 1349926735] Looping around the photos to save general results len do output : 1 /22050503. 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, '2723483') ('3318', '22050503', '1349966732', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349966660', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349966354', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961943', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961891', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961839', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961800', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961767', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961734', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961640', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961635', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961631', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961616', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961516', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961428', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961376', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937321', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937155', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937147', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937135', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937081', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936992', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936918', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936837', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936733', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936730', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936639', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936585', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936572', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936545', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349935734', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349935703', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926878', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926869', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926855', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926843', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926834', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926735', None, None, None, None, None, '2723483') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 39 time used for this insertion : 0.017998456954956055 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.8466384410858154 time spend to save output : 0.01844048500061035 total time spend for step 4 : 0.8650789260864258 step5:final Tue Apr 15 21:58:35 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 : {1349966732: ('0.14085696298804612',), 1349966660: ('0.14085696298804612',), 1349966354: ('0.14085696298804612',), 1349961943: ('0.14085696298804612',), 1349961891: ('0.14085696298804612',), 1349961839: ('0.14085696298804612',), 1349961800: ('0.14085696298804612',), 1349961767: ('0.14085696298804612',), 1349961734: ('0.14085696298804612',), 1349961640: ('0.14085696298804612',), 1349961635: ('0.14085696298804612',), 1349961631: ('0.14085696298804612',), 1349961616: ('0.14085696298804612',), 1349961516: ('0.14085696298804612',), 1349961428: ('0.14085696298804612',), 1349961376: ('0.14085696298804612',), 1349937321: ('0.14085696298804612',), 1349937155: ('0.14085696298804612',), 1349937147: ('0.14085696298804612',), 1349937135: ('0.14085696298804612',), 1349937081: ('0.14085696298804612',), 1349936992: ('0.14085696298804612',), 1349936918: ('0.14085696298804612',), 1349936837: ('0.14085696298804612',), 1349936733: ('0.14085696298804612',), 1349936730: ('0.14085696298804612',), 1349936639: ('0.14085696298804612',), 1349936585: ('0.14085696298804612',), 1349936572: ('0.14085696298804612',), 1349936545: ('0.14085696298804612',), 1349935734: ('0.14085696298804612',), 1349935703: ('0.14085696298804612',), 1349926878: ('0.14085696298804612',), 1349926869: ('0.14085696298804612',), 1349926855: ('0.14085696298804612',), 1349926843: ('0.14085696298804612',), 1349926834: ('0.14085696298804612',), 1349926735: ('0.14085696298804612',)} new output for save of step final : {1349966732: ('0.14085696298804612',), 1349966660: ('0.14085696298804612',), 1349966354: ('0.14085696298804612',), 1349961943: ('0.14085696298804612',), 1349961891: ('0.14085696298804612',), 1349961839: ('0.14085696298804612',), 1349961800: ('0.14085696298804612',), 1349961767: ('0.14085696298804612',), 1349961734: ('0.14085696298804612',), 1349961640: ('0.14085696298804612',), 1349961635: ('0.14085696298804612',), 1349961631: ('0.14085696298804612',), 1349961616: ('0.14085696298804612',), 1349961516: ('0.14085696298804612',), 1349961428: ('0.14085696298804612',), 1349961376: ('0.14085696298804612',), 1349937321: ('0.14085696298804612',), 1349937155: ('0.14085696298804612',), 1349937147: ('0.14085696298804612',), 1349937135: ('0.14085696298804612',), 1349937081: ('0.14085696298804612',), 1349936992: ('0.14085696298804612',), 1349936918: ('0.14085696298804612',), 1349936837: ('0.14085696298804612',), 1349936733: ('0.14085696298804612',), 1349936730: ('0.14085696298804612',), 1349936639: ('0.14085696298804612',), 1349936585: ('0.14085696298804612',), 1349936572: ('0.14085696298804612',), 1349936545: ('0.14085696298804612',), 1349935734: ('0.14085696298804612',), 1349935703: ('0.14085696298804612',), 1349926878: ('0.14085696298804612',), 1349926869: ('0.14085696298804612',), 1349926855: ('0.14085696298804612',), 1349926843: ('0.14085696298804612',), 1349926834: ('0.14085696298804612',), 1349926735: ('0.14085696298804612',)} [1349966732, 1349966660, 1349966354, 1349961943, 1349961891, 1349961839, 1349961800, 1349961767, 1349961734, 1349961640, 1349961635, 1349961631, 1349961616, 1349961516, 1349961428, 1349961376, 1349937321, 1349937155, 1349937147, 1349937135, 1349937081, 1349936992, 1349936918, 1349936837, 1349936733, 1349936730, 1349936639, 1349936585, 1349936572, 1349936545, 1349935734, 1349935703, 1349926878, 1349926869, 1349926855, 1349926843, 1349926834, 1349926735] Looping around the photos to save general results len do output : 38 /1349966732.Didn't retrieve data . /1349966660.Didn't retrieve data . /1349966354.Didn't retrieve data . /1349961943.Didn't retrieve data . /1349961891.Didn't retrieve data . /1349961839.Didn't retrieve data . /1349961800.Didn't retrieve data . /1349961767.Didn't retrieve data . /1349961734.Didn't retrieve data . /1349961640.Didn't retrieve data . /1349961635.Didn't retrieve data . /1349961631.Didn't retrieve data . /1349961616.Didn't retrieve data . /1349961516.Didn't retrieve data . /1349961428.Didn't retrieve data . /1349961376.Didn't retrieve data . /1349937321.Didn't retrieve data . /1349937155.Didn't retrieve data . /1349937147.Didn't retrieve data . /1349937135.Didn't retrieve data . /1349937081.Didn't retrieve data . /1349936992.Didn't retrieve data . /1349936918.Didn't retrieve data . /1349936837.Didn't retrieve data . /1349936733.Didn't retrieve data . /1349936730.Didn't retrieve data . /1349936639.Didn't retrieve data . /1349936585.Didn't retrieve data . /1349936572.Didn't retrieve data . /1349936545.Didn't retrieve data . /1349935734.Didn't retrieve data . /1349935703.Didn't retrieve data . /1349926878.Didn't retrieve data . /1349926869.Didn't retrieve data . /1349926855.Didn't retrieve data . /1349926843.Didn't retrieve data . /1349926834.Didn't retrieve data . /1349926735.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, '2723483') ('3318', '22050503', '1349966732', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349966660', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349966354', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961943', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961891', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961839', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961800', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961767', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961734', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961640', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961635', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961631', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961616', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961516', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961428', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961376', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937321', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937155', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937147', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937135', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937081', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936992', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936918', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936837', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936733', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936730', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936639', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936585', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936572', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936545', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349935734', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349935703', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926878', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926869', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926855', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926843', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926834', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926735', None, None, None, None, None, '2723483') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 114 time used for this insertion : 0.016164779663085938 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.10389995574951172 time spend to save output : 0.01754903793334961 total time spend for step 5 : 0.12144899368286133 step6:blur_detection Tue Apr 15 21:58:35 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/1744745429_1294677_1349966732_42e794b8182bf84080b4d2473922cc44.jpg resize: (2160, 3264) 1349966732 -2.759960689904942 treat image : temp/1744745429_1294677_1349966660_46c558fa261d75ae60b4ff09dd4a1506.jpg resize: (2160, 3264) 1349966660 -3.6423952310064656 treat image : temp/1744745429_1294677_1349966354_ad5ffc17a5ec2d12e8c072a4992d63f9.jpg resize: (2160, 3264) 1349966354 1.6665261122484003 treat image : temp/1744745429_1294677_1349961943_b8c29501f5d2d5d0bd1b8265a923640a.jpg resize: (2160, 3264) 1349961943 -3.4763297454294833 treat image : temp/1744745429_1294677_1349961891_13667800cf1185d0eeae4131016125ed.jpg resize: (2160, 3264) 1349961891 -3.5638632170610167 treat image : temp/1744745429_1294677_1349961839_f4b451ae59ce85cca05ba76db27b542a.jpg resize: (2160, 3264) 1349961839 -3.7473375039616363 treat image : temp/1744745429_1294677_1349961800_719f49a22afc32a2c4800912731f9d69.jpg resize: (2160, 3264) 1349961800 -4.46487996329803 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28.jpg resize: (2160, 3264) 1349961767 -3.9963408584628395 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9.jpg resize: (2160, 3264) 1349961734 -4.290000745571976 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039.jpg resize: (2160, 3264) 1349961640 -5.860587693281128 treat image : temp/1744745429_1294677_1349961635_daf509bdf876f39600e2b300682d55db.jpg resize: (2160, 3264) 1349961635 -2.3085281471398233 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5.jpg resize: (2160, 3264) 1349961631 -6.494606977354032 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8.jpg resize: (2160, 3264) 1349961616 -6.267987868604908 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95.jpg resize: (2160, 3264) 1349961516 -5.805313424589609 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8.jpg resize: (2160, 3264) 1349961428 -5.095596423110986 treat image : temp/1744745429_1294677_1349961376_e920086c82705fc72a2b7d58a66ac6f1.jpg resize: (2160, 3264) 1349961376 -2.3606673633386137 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f.jpg resize: (2160, 3264) 1349937321 -5.947933087257705 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f.jpg resize: (2160, 3264) 1349937155 -6.650602500755737 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45.jpg resize: (2160, 3264) 1349937147 -6.634633419340701 treat image : temp/1744745429_1294677_1349937135_6152891fb4818b091b2d2b080b290e3b.jpg resize: (2160, 3264) 1349937135 -6.663946224478437 treat image : temp/1744745429_1294677_1349937081_ef74016ccdbd4f7646240b3a735ede60.jpg resize: (2160, 3264) 1349937081 -6.518523520514571 treat image : temp/1744745429_1294677_1349936992_6ba4af5b70a3ed5c3dc5b487d8d53bd3.jpg resize: (2160, 3264) 1349936992 -5.4669880179731605 treat image : temp/1744745429_1294677_1349936918_c658b51f17ee2d5c3da6e7c4601fa5fb.jpg resize: (2160, 3264) 1349936918 -6.694426907957827 treat image : temp/1744745429_1294677_1349936837_ec1c9ccf674464d1ea2ae64187fb1caa.jpg resize: (2160, 3264) 1349936837 -6.5620202537064705 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87.jpg resize: (2160, 3264) 1349936733 -5.766651449892757 treat image : temp/1744745429_1294677_1349936730_3f25372a48d8e55b1c6533447f3e7b2a.jpg resize: (2160, 3264) 1349936730 -6.197611553922319 treat image : temp/1744745429_1294677_1349936639_ebd9eff1d967b4bb9a6b51bb9d0c779d.jpg resize: (2160, 3264) 1349936639 -4.116684645130978 treat image : temp/1744745429_1294677_1349936585_d0aa27e01c61a8d38791f3986f03cd53.jpg resize: (2160, 3264) 1349936585 -0.8093456846469523 treat image : temp/1744745429_1294677_1349936572_c12f18883523be3f51950225e6f37b46.jpg resize: (2160, 3264) 1349936572 -6.646272025370569 treat image : temp/1744745429_1294677_1349936545_298ca8f677e2d20e4f29afe8022e1f64.jpg resize: (2160, 3264) 1349936545 -6.494650655281634 treat image : temp/1744745429_1294677_1349935734_29c09cb941c98f17021ceac47eb6ae37.jpg resize: (2160, 3264) 1349935734 -2.889572588872418 treat image : temp/1744745429_1294677_1349935703_2ee21de49bd24d8c9ecbc1ef034c8fc0.jpg resize: (2160, 3264) 1349935703 -6.582896940315201 treat image : temp/1744745429_1294677_1349926878_e2552c3d67c67d50a37bae2cf86b5ca2.jpg resize: (2160, 3264) 1349926878 -3.6479138924467667 treat image : temp/1744745429_1294677_1349926869_97aa8480bacc76ae961c99674754f7c3.jpg resize: (2160, 3264) 1349926869 -1.2001754045489212 treat image : temp/1744745429_1294677_1349926855_b160922774419fb77dce7b1da024398d.jpg resize: (2160, 3264) 1349926855 -1.7654126165274018 treat image : temp/1744745429_1294677_1349926843_56e61e154742e0b74540ced67b7a6b40.jpg resize: (2160, 3264) 1349926843 -2.6896523875350984 treat image : temp/1744745429_1294677_1349926834_0bcc4f2840f5923e0934784aea4ba5ea.jpg resize: (2160, 3264) 1349926834 -0.575578589858721 treat image : temp/1744745429_1294677_1349926735_fe2d37cea732d40632fb7fe205ced58a.jpg resize: (2160, 3264) 1349926735 -3.491725100380012 treat image : temp/1744745429_1294677_1349966732_42e794b8182bf84080b4d2473922cc44_rle_crop_3747376071_0.png resize: (223, 267) 1350017094 -2.8198260144300615 treat image : temp/1744745429_1294677_1349966732_42e794b8182bf84080b4d2473922cc44_rle_crop_3747376051_0.png resize: (97, 154) 1350017095 -2.0435707725965506 treat image : temp/1744745429_1294677_1349966732_42e794b8182bf84080b4d2473922cc44_rle_crop_3747376059_0.png resize: (199, 207) 1350017096 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temp/1744745429_1294677_1349961891_13667800cf1185d0eeae4131016125ed_rle_crop_3747376149_0.png resize: (131, 220) 1350017148 -2.0863188500993397 treat image : temp/1744745429_1294677_1349961891_13667800cf1185d0eeae4131016125ed_rle_crop_3747376141_0.png resize: (120, 189) 1350017149 -2.5639706191922276 treat image : temp/1744745429_1294677_1349961891_13667800cf1185d0eeae4131016125ed_rle_crop_3747376136_0.png resize: (134, 92) 1350017150 -3.105598498317963 treat image : temp/1744745429_1294677_1349961891_13667800cf1185d0eeae4131016125ed_rle_crop_3747376133_0.png resize: (238, 133) 1350017151 -1.263921088361433 treat image : temp/1744745429_1294677_1349961891_13667800cf1185d0eeae4131016125ed_rle_crop_3747376140_0.png resize: (196, 400) 1350017152 -1.8694673890225753 treat image : temp/1744745429_1294677_1349961891_13667800cf1185d0eeae4131016125ed_rle_crop_3747376150_0.png resize: (443, 746) 1350017153 -1.4389903362801102 treat image : 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temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376215_0.png resize: (526, 396) 1350017193 -1.2308747087686214 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376228_0.png resize: (211, 277) 1350017194 -2.281766727752568 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376217_0.png resize: (218, 174) 1350017195 -2.182915219955361 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376213_0.png resize: (128, 188) 1350017196 -1.5362474287391457 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376234_0.png resize: (112, 104) 1350017197 -1.2102045595911128 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376222_0.png resize: (238, 159) 1350017198 -0.18326528145875257 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376208_0.png resize: (213, 104) 1350017199 -1.6287479031530927 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376219_0.png resize: (108, 137) 1350017200 -1.1218769583501127 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376218_0.png resize: (378, 296) 1350017201 -1.5413412462625566 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376210_0.png resize: (275, 273) 1350017202 -1.5546533006810381 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376232_0.png resize: (249, 238) 1350017203 -3.2506462803184504 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376211_0.png resize: (247, 319) 1350017204 -2.1030864859511955 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376226_0.png resize: (103, 186) 1350017205 -0.8068560053475983 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376224_0.png resize: (115, 150) 1350017206 -2.4198194496910146 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376227_0.png resize: (228, 185) 1350017207 -3.0528336442559665 treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28_rle_crop_3747376220_0.png resize: (159, 132) 1350017208 -1.4992269588251714 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376255_0.png resize: (367, 354) 1350017209 -3.2594041976432155 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376254_0.png resize: (226, 216) 1350017210 -0.8348828484948417 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376250_0.png resize: (266, 345) 1350017211 -2.062153055922894 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376252_0.png resize: (311, 324) 1350017212 -2.713853426260738 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376249_0.png resize: (388, 468) 1350017213 -3.7167363822380572 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376260_0.png resize: (136, 110) 1350017214 -1.8641244172999314 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376241_0.png resize: (80, 221) 1350017215 -2.3995425956693737 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376237_0.png resize: (167, 193) 1350017216 -1.668368682167774 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376240_0.png resize: (152, 308) 1350017217 -2.2922301505462945 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376262_0.png resize: (123, 116) 1350017219 -2.756472703688962 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376245_0.png resize: (348, 390) 1350017220 -2.541969762030361 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376243_0.png resize: (119, 189) 1350017222 -3.560552908601934 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376258_0.png resize: (147, 144) 1350017223 -2.9546328872267007 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376253_0.png resize: (218, 173) 1350017224 -1.9818744486993893 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376261_0.png resize: (139, 87) 1350017225 -2.1361028186863247 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376246_0.png resize: (100, 90) 1350017226 -0.014968312620207447 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376259_0.png resize: (230, 274) 1350017227 -2.286448131252834 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376244_0.png resize: (165, 159) 1350017228 -1.3508121850844865 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376239_0.png resize: (211, 153) 1350017229 -1.2800605623703014 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376251_0.png resize: (92, 113) 1350017230 -0.13423829368868448 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376248_0.png resize: (144, 156) 1350017231 -2.913343020595987 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376235_0.png resize: (173, 208) 1350017232 -3.2170445771837546 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376242_0.png resize: (153, 67) 1350017233 -2.1790034364718265 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376247_0.png resize: (163, 205) 1350017234 -1.0246039705481658 treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9_rle_crop_3747376257_0.png resize: (155, 107) 1350017235 -4.383116950632133 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376287_0.png resize: (201, 168) 1350017236 -2.224063019877028 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376268_0.png resize: (173, 96) 1350017238 -3.4156829518547913 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376284_0.png resize: (226, 236) 1350017239 -2.688399197801943 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376281_0.png resize: (255, 238) 1350017240 -3.227979358174334 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376265_0.png resize: (108, 78) 1350017241 -0.7751985192341748 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376277_0.png resize: (270, 261) 1350017242 -2.3418443834307596 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376273_0.png resize: (80, 84) 1350017243 -2.335800060695043 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376290_0.png resize: (112, 68) 1350017244 -0.5884986075803201 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376304_0.png resize: (359, 442) 1350017245 -3.874215203538929 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376293_0.png resize: (147, 170) 1350017246 -1.3377960381157508 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376278_0.png resize: (192, 204) 1350017247 -4.049355351008631 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376263_0.png resize: (88, 193) 1350017248 -3.505387389534797 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376300_0.png resize: (193, 155) 1350017249 -3.447057526620345 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376285_0.png resize: (190, 227) 1350017250 -3.98241677848461 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376288_0.png resize: (118, 187) 1350017251 -2.5604614631370133 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376294_0.png resize: (103, 86) 1350017252 -1.9533989319439984 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376301_0.png resize: (259, 296) 1350017253 -2.9708272243688074 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376271_0.png resize: (198, 196) 1350017254 -2.143307339382219 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376272_0.png resize: (221, 178) 1350017255 -3.983739663415629 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376296_0.png resize: (199, 145) 1350017256 -3.074792623462369 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376286_0.png resize: (80, 86) 1350017257 -3.012354711517791 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376302_0.png resize: (111, 120) 1350017258 -2.6460128789119026 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376306_0.png resize: (126, 120) 1350017259 -2.598860833190051 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376274_0.png resize: (144, 127) 1350017260 -3.2691063841149965 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376276_0.png resize: (145, 142) 1350017262 -3.6756099138637515 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376305_0.png resize: (142, 207) 1350017263 -4.5997560892470615 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376270_0.png resize: (233, 199) 1350017264 -2.5531453334092884 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376303_0.png resize: (213, 227) 1350017265 -3.8941368614412126 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376279_0.png resize: (123, 91) 1350017266 -2.3302403139026655 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376267_0.png resize: (203, 230) 1350017267 -4.14428412288176 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376269_0.png resize: (106, 97) 1350017268 -2.2171990414024867 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376275_0.png resize: (143, 129) 1350017269 -3.2943345609390433 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376298_0.png resize: (82, 64) 1350017270 -3.140481274988668 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376289_0.png resize: (255, 214) 1350017271 -3.5184380285176795 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376280_0.png resize: (221, 177) 1350017272 -3.748912142613926 treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039_rle_crop_3747376299_0.png resize: (499, 322) 1350017273 -2.6242332347224058 treat image : temp/1744745429_1294677_1349961635_daf509bdf876f39600e2b300682d55db_rle_crop_3747376309_0.png resize: (1099, 413) 1350017274 -1.4605864315520205 treat image : temp/1744745429_1294677_1349961635_daf509bdf876f39600e2b300682d55db_rle_crop_3747376314_0.png resize: (360, 211) 1350017275 -0.5601688568172247 treat image : temp/1744745429_1294677_1349961635_daf509bdf876f39600e2b300682d55db_rle_crop_3747376319_0.png resize: (241, 160) 1350017276 -0.7271895816313353 treat image : temp/1744745429_1294677_1349961635_daf509bdf876f39600e2b300682d55db_rle_crop_3747376307_0.png resize: (560, 398) 1350017277 -0.0012739780041249684 treat image : temp/1744745429_1294677_1349961635_daf509bdf876f39600e2b300682d55db_rle_crop_3747376310_0.png resize: (276, 105) 1350017278 -0.657178602066129 treat image : temp/1744745429_1294677_1349961635_daf509bdf876f39600e2b300682d55db_rle_crop_3747376318_0.png resize: (231, 456) 1350017279 -1.5168151604966909 treat image : temp/1744745429_1294677_1349961635_daf509bdf876f39600e2b300682d55db_rle_crop_3747376312_0.png resize: (113, 148) 1350017280 1.8812414759456089 treat image : temp/1744745429_1294677_1349961635_daf509bdf876f39600e2b300682d55db_rle_crop_3747376308_0.png resize: (233, 275) 1350017281 -1.4666030713854479 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376340_0.png resize: (263, 324) 1350017282 -2.5752098054407835 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376333_0.png resize: (281, 200) 1350017283 -2.930445864322626 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376321_0.png resize: (113, 183) 1350017284 -2.5453869544499086 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376348_0.png resize: (90, 164) 1350017285 -1.2982488012617606 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376343_0.png resize: (199, 162) 1350017286 -2.6042916823956723 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376336_0.png resize: (161, 241) 1350017288 -2.1494207182996377 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376325_0.png resize: (260, 302) 1350017289 -3.762059371587028 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376330_0.png resize: (263, 301) 1350017290 -2.6956536612094117 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376338_0.png resize: (245, 251) 1350017291 -3.9082860836822295 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376355_0.png resize: (217, 316) 1350017292 -3.684840920674859 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376328_0.png resize: (110, 175) 1350017293 -1.7064036208707953 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376331_0.png resize: (317, 531) 1350017294 -5.223232236512564 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376351_0.png resize: (319, 301) 1350017295 -4.296945119287507 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376326_0.png resize: (192, 178) 1350017296 -4.698825330696874 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376356_0.png resize: (199, 365) 1350017297 -4.46101345559681 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376360_0.png resize: (180, 167) 1350017298 -1.6735975277091417 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376335_0.png resize: (249, 307) 1350017299 -3.260273398198465 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376352_0.png resize: (208, 183) 1350017300 -3.3008153594683147 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376323_0.png resize: (340, 285) 1350017301 -3.4729796589424953 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376337_0.png resize: (160, 188) 1350017302 -4.051942094894532 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376347_0.png resize: (253, 238) 1350017303 -4.248925662926217 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376349_0.png resize: (144, 175) 1350017304 -3.4201394072433193 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376332_0.png resize: (230, 319) 1350017305 -5.548502669967458 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376358_0.png resize: (197, 101) 1350017306 -4.513552783393282 treat image : temp/1744745429_1294677_1349961631_636e691cb31c5006d4abba6ca677a9c5_rle_crop_3747376350_0.png resize: (217, 140) 1350017307 -2.9770978944262905 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376401_0.png resize: (373, 110) 1350017309 -2.9303429702072825 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376364_0.png resize: (436, 496) 1350017310 -3.4619177193528894 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376376_0.png resize: (121, 242) 1350017311 -2.2341267250289953 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376382_0.png resize: (246, 263) 1350017312 -2.2626646851575316 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376400_0.png resize: (287, 171) 1350017313 -2.9356448025867454 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376402_0.png resize: (82, 147) 1350017314 -2.535618426150871 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376370_0.png resize: (315, 303) 1350017315 -2.9962467944154176 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376387_0.png resize: (293, 316) 1350017316 -4.181533043340357 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376365_0.png resize: (68, 146) 1350017317 -2.256333509066759 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376368_0.png resize: (199, 94) 1350017318 -4.379065549657205 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376367_0.png resize: (305, 230) 1350017319 -2.8489108912466072 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376372_0.png resize: (286, 255) 1350017320 -4.241968674432628 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376363_0.png resize: (133, 132) 1350017321 -3.6303298574458056 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376375_0.png resize: (279, 134) 1350017322 -2.253296079025858 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376379_0.png resize: (216, 224) 1350017323 -2.993804718413062 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376388_0.png resize: (198, 218) 1350017324 -4.837732105281432 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376391_0.png resize: (126, 134) 1350017325 -2.309245041908497 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376383_0.png resize: (178, 280) 1350017326 -4.134884880851903 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376392_0.png resize: (109, 129) 1350017327 -2.349839176934935 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376398_0.png resize: (168, 177) 1350017328 -4.740002309602421 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376373_0.png resize: (249, 170) 1350017329 -4.8116891475365495 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376378_0.png resize: (149, 274) 1350017330 -1.873004281186145 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376366_0.png resize: (196, 208) 1350017331 -3.43261805529423 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376397_0.png resize: (309, 218) 1350017332 -3.269713629015781 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376374_0.png resize: (199, 180) 1350017333 -4.107903163458826 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376377_0.png resize: (323, 243) 1350017334 -3.2397908493380005 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376381_0.png resize: (83, 141) 1350017335 -1.610310680269962 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376384_0.png resize: (146, 124) 1350017337 -3.7113742630992257 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376395_0.png resize: (85, 84) 1350017338 1.401906867751984 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376390_0.png resize: (240, 195) 1350017339 -4.194995811484489 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376369_0.png resize: (478, 459) 1350017340 -4.3337579157682145 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376386_0.png resize: (254, 274) 1350017341 -4.9551045308004085 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376362_0.png resize: (172, 186) 1350017342 -3.7397513567963525 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376385_0.png resize: (208, 306) 1350017343 -4.624255316385095 treat image : temp/1744745429_1294677_1349961616_a37ebbe09e8a21a1a3ae25bcfddc21c8_rle_crop_3747376380_0.png resize: (232, 88) 1350017344 -3.5958345252760875 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376412_0.png resize: (206, 204) 1350017345 -1.8657025132137603 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376411_0.png resize: (294, 295) 1350017346 -3.587391895575487 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376420_0.png resize: (344, 436) 1350017347 -2.1798291532449587 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376425_0.png resize: (150, 236) 1350017348 -2.957148329962767 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376416_0.png resize: (201, 200) 1350017349 -2.909742216248836 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376415_0.png resize: (251, 450) 1350017351 -3.2465725506667336 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376426_0.png resize: (77, 132) 1350017352 -1.892273965596378 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376409_0.png resize: (172, 157) 1350017353 -2.921853262005716 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376422_0.png resize: (56, 168) 1350017354 -1.014025266495333 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376424_0.png resize: (187, 90) 1350017355 -0.5898308610227506 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376429_0.png resize: (247, 132) 1350017356 -3.7870734940978457 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376417_0.png resize: (356, 384) 1350017357 -3.8198073990135373 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376423_0.png resize: (203, 203) 1350017358 -4.754718286993371 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376406_0.png resize: (145, 237) 1350017359 -0.28199018577139456 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376428_0.png resize: (235, 205) 1350017360 -4.152224861439899 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376419_0.png resize: (169, 295) 1350017361 -4.112870498877784 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376403_0.png resize: (126, 121) 1350017362 -1.3794626949833877 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376410_0.png resize: (262, 237) 1350017363 -3.956835848320533 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376421_0.png resize: (158, 171) 1350017364 -2.864706890139784 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376413_0.png resize: (550, 344) 1350017365 -4.270660532587636 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376404_0.png resize: (303, 516) 1350017366 -4.53590363128034 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376408_0.png resize: (294, 190) 1350017367 -3.9160993278197864 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376414_0.png resize: (140, 207) 1350017368 1.2002948499789317 treat image : temp/1744745429_1294677_1349961516_39ebfc636223c9a49b5db9b8b88d3d95_rle_crop_3747376405_0.png resize: (175, 234) 1350017369 -1.1413986153133013 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376460_0.png resize: (124, 115) 1350017370 -3.418505036112766 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376433_0.png resize: (83, 114) 1350017371 -1.9450885690150168 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376435_0.png resize: (108, 145) 1350017372 -2.0273792594795865 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376451_0.png resize: (236, 117) 1350017373 -2.4277083205435317 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376458_0.png resize: (272, 308) 1350017374 -3.0526930751817662 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376440_0.png resize: (285, 283) 1350017375 -4.3174888729516585 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376437_0.png resize: (164, 105) 1350017376 -3.3241735101668928 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376446_0.png resize: (374, 338) 1350017377 -3.0857438788468565 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376459_0.png resize: (168, 133) 1350017378 -1.9142144159144538 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376432_0.png resize: (143, 136) 1350017379 -2.1331636566144683 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376439_0.png resize: (320, 137) 1350017380 -4.228626655827818 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376447_0.png resize: (192, 240) 1350017381 -2.914535415758269 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376436_0.png resize: (534, 356) 1350017383 -4.573197282046833 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376445_0.png resize: (262, 247) 1350017384 -2.250644001873208 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376454_0.png resize: (333, 330) 1350017385 -3.758449053254625 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376450_0.png resize: (232, 253) 1350017386 -3.92738589470925 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376448_0.png resize: (290, 332) 1350017387 -2.4099228647295745 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376434_0.png resize: (189, 169) 1350017388 -1.6905460730937112 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376453_0.png resize: (264, 137) 1350017389 -5.117340593967059 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376442_0.png resize: (197, 305) 1350017390 -4.47943360904563 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376456_0.png resize: (200, 117) 1350017391 -3.9483896448731537 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376444_0.png resize: (181, 177) 1350017392 -1.645648123897685 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376443_0.png resize: (104, 90) 1350017393 -1.3704975277030438 treat image : temp/1744745429_1294677_1349961428_1d0f6cbe18f5870aeb7d9ff00769b8b8_rle_crop_3747376452_0.png resize: (93, 98) 1350017394 -2.1738078320179266 treat image : temp/1744745429_1294677_1349961376_e920086c82705fc72a2b7d58a66ac6f1_rle_crop_3747376467_0.png resize: (155, 149) 1350017395 -2.475017770954738 treat image : temp/1744745429_1294677_1349961376_e920086c82705fc72a2b7d58a66ac6f1_rle_crop_3747376463_0.png resize: (180, 127) 1350017396 -1.3812447530179386 treat image : temp/1744745429_1294677_1349961376_e920086c82705fc72a2b7d58a66ac6f1_rle_crop_3747376465_0.png resize: (223, 221) 1350017397 -1.7822727104486558 treat image : temp/1744745429_1294677_1349961376_e920086c82705fc72a2b7d58a66ac6f1_rle_crop_3747376462_0.png resize: (70, 194) 1350017398 -0.6112258125307543 treat image : temp/1744745429_1294677_1349961376_e920086c82705fc72a2b7d58a66ac6f1_rle_crop_3747376468_0.png resize: (161, 260) 1350017399 -2.567990876157545 treat image : temp/1744745429_1294677_1349961376_e920086c82705fc72a2b7d58a66ac6f1_rle_crop_3747376470_0.png resize: (164, 265) 1350017400 0.09774309476325901 treat image : temp/1744745429_1294677_1349961376_e920086c82705fc72a2b7d58a66ac6f1_rle_crop_3747376464_0.png resize: (117, 178) 1350017402 -0.70053850674258 treat image : temp/1744745429_1294677_1349961376_e920086c82705fc72a2b7d58a66ac6f1_rle_crop_3747376466_0.png resize: (135, 176) 1350017403 -3.31742392652135 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376471_0.png resize: (88, 125) 1350017404 -2.407122432511715 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376482_0.png resize: (102, 140) 1350017405 -2.575714374647796 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376495_0.png resize: (347, 280) 1350017406 -4.159997775574375 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376488_0.png resize: (298, 249) 1350017407 -4.776760178065257 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376481_0.png resize: (439, 444) 1350017408 -4.3638170707032184 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376487_0.png resize: (84, 86) 1350017409 -3.864194174895917 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376477_0.png resize: (133, 141) 1350017410 -2.259875862795858 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376473_0.png resize: (347, 153) 1350017411 -4.496016624016211 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376475_0.png resize: (158, 244) 1350017412 -3.7047927854520584 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376497_0.png resize: (241, 266) 1350017413 -3.589335272485116 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376479_0.png resize: (530, 329) 1350017414 -5.287166724369109 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376472_0.png resize: (200, 233) 1350017415 -2.4021586442842504 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376494_0.png resize: (102, 109) 1350017416 -4.098874214935716 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376484_0.png resize: (228, 257) 1350017417 -4.703526453302078 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376496_0.png resize: (188, 277) 1350017418 -4.3989969053847275 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376491_0.png resize: (235, 348) 1350017419 -3.0969480258251103 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376486_0.png resize: (286, 434) 1350017420 -4.5471734539679085 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376474_0.png resize: (204, 193) 1350017421 -3.6928125294972176 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376498_0.png resize: (349, 349) 1350017422 -3.5999060590610403 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376480_0.png resize: (269, 174) 1350017424 -5.654792022596905 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376492_0.png resize: (186, 220) 1350017425 -4.264991446579696 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376489_0.png resize: (153, 151) 1350017426 -3.6754479984935804 treat image : temp/1744745429_1294677_1349937321_47315eb55cbdb01ac75dbfc57b441f6f_rle_crop_3747376483_0.png resize: (128, 31) 1350017427 -3.6683414019953586 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376502_0.png resize: (310, 153) 1350017428 -2.7648343059323666 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376525_0.png resize: (430, 179) 1350017429 -2.594590548097897 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376526_0.png resize: (155, 146) 1350017430 -1.6910490589376825 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376500_0.png resize: (431, 290) 1350017431 -3.1723202647901156 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376514_0.png resize: (202, 119) 1350017432 -2.004940804602324 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376524_0.png resize: (167, 195) 1350017434 -4.305326052159702 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376509_0.png resize: (243, 105) 1350017435 -0.5959700677076825 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376519_0.png resize: (153, 118) 1350017436 -2.3762872693797177 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376522_0.png resize: (106, 217) 1350017437 -2.139705327760848 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376520_0.png resize: (162, 146) 1350017438 -3.6912882972007752 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376499_0.png resize: (267, 230) 1350017439 -2.656583833943466 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376501_0.png resize: (267, 167) 1350017440 -4.570495074730651 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376510_0.png resize: (188, 127) 1350017441 -4.100868197457903 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376511_0.png resize: (156, 95) 1350017442 -3.6277199242333293 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376506_0.png resize: (194, 182) 1350017443 -4.215305558648193 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376505_0.png resize: (164, 127) 1350017444 -3.4738838894799415 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376507_0.png resize: (292, 150) 1350017445 -4.186557285190829 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376523_0.png resize: (111, 109) 1350017446 -2.828335979774351 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376503_0.png resize: (184, 284) 1350017447 -4.781152219877224 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376518_0.png resize: (162, 190) 1350017448 -4.491738231616941 treat image : temp/1744745429_1294677_1349937155_8e0491be4619b3d72d9068b1886e6f3f_rle_crop_3747376512_0.png resize: (100, 83) 1350017449 -3.5179633034703746 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376532_0.png resize: (276, 146) 1350017450 -2.894797694287526 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376569_0.png resize: (542, 197) 1350017451 -3.075893275481722 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376563_0.png resize: (208, 120) 1350017452 -2.698137716326283 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376531_0.png resize: (469, 279) 1350017453 -3.056673839762697 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376536_0.png resize: (206, 145) 1350017454 -2.440503067193463 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376554_0.png resize: (193, 206) 1350017456 -4.1065932765364055 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376550_0.png resize: (171, 219) 1350017457 -1.9003428041316108 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376552_0.png resize: (128, 267) 1350017458 -3.0178210844986855 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376540_0.png resize: (227, 107) 1350017459 -0.41710576354255896 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376551_0.png resize: (154, 131) 1350017461 -2.8497100664978845 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376544_0.png resize: (109, 175) 1350017462 -2.1643800490808043 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376566_0.png resize: (183, 380) 1350017463 -4.185109685760556 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376541_0.png resize: (155, 159) 1350017464 -3.4975764480874787 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376553_0.png resize: (292, 340) 1350017465 -5.012803916517323 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376530_0.png resize: (262, 220) 1350017466 -2.70786297733772 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376557_0.png resize: (218, 178) 1350017467 -2.5444122962749356 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376537_0.png resize: (263, 166) 1350017469 -4.019170235146187 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376542_0.png resize: (77, 245) 1350017470 -3.3330694848131746 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376559_0.png resize: (197, 518) 1350017471 -5.609023663868131 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376546_0.png resize: (128, 106) 1350017472 -3.2671649495334396 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376535_0.png resize: (187, 128) 1350017473 -3.8870543847445886 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376561_0.png resize: (197, 309) 1350017474 -4.12939415395909 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376545_0.png resize: (284, 207) 1350017475 -4.419683823932463 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376549_0.png resize: (259, 126) 1350017476 -1.710787536218168 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376534_0.png resize: (174, 130) 1350017477 -3.65665356184106 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376564_0.png resize: (92, 115) 1350017478 -2.518791263141239 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376556_0.png resize: (146, 187) 1350017480 -4.818949312104153 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376533_0.png resize: (199, 273) 1350017481 -5.053076867086663 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376555_0.png resize: (95, 97) 1350017482 -3.6334589042931746 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376538_0.png resize: (144, 119) 1350017483 -0.9356963617168923 treat image : temp/1744745429_1294677_1349937147_ffe37391b77198780041a8ef88286d45_rle_crop_3747376562_0.png resize: (97, 131) 1350017484 -3.2720969786540453 treat image : 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temp/1744745429_1294677_1349936837_ec1c9ccf674464d1ea2ae64187fb1caa_bib_crop_3746978748_0.jpg resize: (249, 292) 1350017706 -3.9513221424750493 treat image : temp/1744745429_1294677_1349936837_ec1c9ccf674464d1ea2ae64187fb1caa_bib_crop_3746978732_0.jpg resize: (402, 465) 1350017707 -3.844530917851858 treat image : temp/1744745429_1294677_1349936837_ec1c9ccf674464d1ea2ae64187fb1caa_rle_crop_3746975109_0.png resize: (109, 177) 1350017708 -2.0307339431958993 treat image : temp/1744745429_1294677_1349936837_ec1c9ccf674464d1ea2ae64187fb1caa_bib_crop_3746978725_0.jpg resize: (108, 176) 1350017709 -2.2085513858136405 treat image : temp/1744745429_1294677_1349936837_ec1c9ccf674464d1ea2ae64187fb1caa_rle_crop_3746975104_0.png resize: (218, 255) 1350017710 -3.3502330424045534 treat image : temp/1744745429_1294677_1349936837_ec1c9ccf674464d1ea2ae64187fb1caa_bib_crop_3746978728_0.jpg resize: (217, 254) 1350017711 -4.742074208481812 treat image : temp/1744745429_1294677_1349936837_ec1c9ccf674464d1ea2ae64187fb1caa_bib_crop_3746978730_0.jpg resize: (297, 173) 1350017712 -4.696452168071521 treat image : temp/1744745429_1294677_1349936837_ec1c9ccf674464d1ea2ae64187fb1caa_rle_crop_3746975099_0.png resize: (298, 174) 1350017713 -4.844614321911981 treat image : temp/1744745429_1294677_1349936837_ec1c9ccf674464d1ea2ae64187fb1caa_rle_crop_3746975108_0.png resize: (130, 129) 1350017714 -4.368335487739976 treat image : temp/1744745429_1294677_1349936837_ec1c9ccf674464d1ea2ae64187fb1caa_bib_crop_3746978738_0.jpg resize: (129, 128) 1350017715 -4.39607844149561 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_rle_crop_3746975121_0.png resize: (71, 95) 1350017716 0.7505590686676972 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_bib_crop_3746978846_0.jpg resize: (70, 94) 1350017717 3.9379340420887825 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_bib_crop_3746978842_0.jpg resize: (248, 379) 1350017718 -1.6396648761280856 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_rle_crop_3746975125_0.png resize: (249, 380) 1350017719 -1.5822064010338779 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_rle_crop_3746975124_0.png resize: (268, 153) 1350017720 -1.7251893168010493 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_bib_crop_3746978843_0.jpg resize: (267, 152) 1350017721 -0.7125620975340289 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_rle_crop_3746975123_0.png resize: (165, 198) 1350017722 -3.1951117686660755 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_bib_crop_3746978844_0.jpg resize: (164, 197) 1350017723 -2.644802720736821 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_rle_crop_3746975120_0.png resize: (194, 237) 1350017724 -2.4113784314304056 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_bib_crop_3746978847_0.jpg resize: (193, 236) 1350017725 -0.890175626791284 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_rle_crop_3746975130_0.png resize: (359, 508) 1350017726 -3.4631895388208416 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_bib_crop_3746978837_0.jpg resize: (358, 507) 1350017727 -4.126577206241341 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_rle_crop_3746975129_0.png resize: (227, 341) 1350017728 -3.9027974077252505 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_bib_crop_3746978838_0.jpg resize: (226, 340) 1350017729 -3.8431260575153985 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_rle_crop_3746975131_0.png resize: (166, 234) 1350017730 0.1396904490635924 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_bib_crop_3746978836_0.jpg resize: (70, 213) 1350017731 1.0330925331227903 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_rle_crop_3746975126_0.png resize: (146, 139) 1350017732 -2.4633210611019565 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_bib_crop_3746978841_0.jpg resize: (145, 138) 1350017733 -1.7914353772305445 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_rle_crop_3746975127_0.png resize: (223, 287) 1350017734 -2.0912861285873277 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_bib_crop_3746978840_0.jpg resize: (222, 286) 1350017735 -1.31959285558741 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_rle_crop_3746975128_0.png resize: (213, 197) 1350017736 -3.161079413625644 treat image : temp/1744745429_1294677_1349936733_9f88b02f7643c0c5521527c8f4659a87_bib_crop_3746978839_0.jpg resize: (212, 196) 1350017737 -3.3332547911555817 treat image : temp/1744745429_1294677_1349936730_3f25372a48d8e55b1c6533447f3e7b2a_rle_crop_3746975152_0.png resize: (468, 178) 1350017738 -2.8443671417565866 treat image : temp/1744745429_1294677_1349936730_3f25372a48d8e55b1c6533447f3e7b2a_bib_crop_3746979673_0.jpg resize: (467, 177) 1350017739 2.246621626669356 treat image : temp/1744745429_1294677_1349936730_3f25372a48d8e55b1c6533447f3e7b2a_rle_crop_3746975136_0.png resize: (404, 363) 1350017740 -2.6567918705911207 treat image : temp/1744745429_1294677_1349936730_3f25372a48d8e55b1c6533447f3e7b2a_bib_crop_3746979662_0.jpg resize: (403, 362) 1350017741 -1.2412086417427775 treat image : 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temp/1744745429_1294677_1349936730_3f25372a48d8e55b1c6533447f3e7b2a_rle_crop_3746975145_0.png resize: (152, 181) 1350017748 -2.69084722386225 treat image : temp/1744745429_1294677_1349936730_3f25372a48d8e55b1c6533447f3e7b2a_bib_crop_3746979669_0.jpg resize: (151, 180) 1350017749 0.0036143665208684204 treat image : temp/1744745429_1294677_1349936730_3f25372a48d8e55b1c6533447f3e7b2a_rle_crop_3746975164_0.png resize: (212, 162) 1350017750 -2.577768905358817 treat image : temp/1744745429_1294677_1349936730_3f25372a48d8e55b1c6533447f3e7b2a_bib_crop_3746979661_0.jpg resize: (211, 161) 1350017751 -1.3594368775741665 treat image : temp/1744745429_1294677_1349936730_3f25372a48d8e55b1c6533447f3e7b2a_bib_crop_3746979657_0.jpg resize: (242, 398) 1350017752 -0.9554045801451694 treat image : temp/1744745429_1294677_1349936730_3f25372a48d8e55b1c6533447f3e7b2a_rle_crop_3746975153_0.png resize: (243, 399) 1350017753 -2.114247423199102 treat image : 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list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 1499 time used for this insertion : 0.1100165843963623 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 1499 time used for this insertion : 0.2995419502258301 save missing photos in datou_result : time spend for datou_step_exec : 157.49169850349426 time spend to save output : 0.42534446716308594 total time spend for step 6 : 157.91704297065735 step7:brightness Tue Apr 15 22:01:13 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 calcul brightness treat image : temp/1744745429_1294677_1349966732_42e794b8182bf84080b4d2473922cc44.jpg treat image : temp/1744745429_1294677_1349966660_46c558fa261d75ae60b4ff09dd4a1506.jpg treat image : temp/1744745429_1294677_1349966354_ad5ffc17a5ec2d12e8c072a4992d63f9.jpg treat image : temp/1744745429_1294677_1349961943_b8c29501f5d2d5d0bd1b8265a923640a.jpg treat image : temp/1744745429_1294677_1349961891_13667800cf1185d0eeae4131016125ed.jpg treat image : temp/1744745429_1294677_1349961839_f4b451ae59ce85cca05ba76db27b542a.jpg treat image : temp/1744745429_1294677_1349961800_719f49a22afc32a2c4800912731f9d69.jpg treat image : temp/1744745429_1294677_1349961767_85c77b57af4d3e77203c1eb76c064d28.jpg treat image : temp/1744745429_1294677_1349961734_db3b9d9f71967e1e78684321e7fdb9e9.jpg treat image : temp/1744745429_1294677_1349961640_fc5faa1ac192f9fdb1cc31bb0c7c1039.jpg treat image : 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save_photo_hashtag_id_thcl_score : 1499 time used for this insertion : 0.09250807762145996 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 1499 time used for this insertion : 0.2485063076019287 save missing photos in datou_result : time spend for datou_step_exec : 40.50737118721008 time spend to save output : 0.35349273681640625 total time spend for step 7 : 40.86086392402649 step8:velours_tree Tue Apr 15 22:01:53 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 : 1.754542350769043 time spend to save output : 5.8650970458984375e-05 total time spend for step 8 : 1.754601001739502 step9:send_mail_cod Tue Apr 15 22:01:55 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_P22050503_15-04-2025_22_01_55.pdf 22051230 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 .imagette220512301744747315 22051231 change filename to text .change filename to text .change filename to text .imagette220512311744747317 22051232 change filename to text .change filename to text .change filename to text .change 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.change filename to text .change filename to text .change filename to text .imagette220512391744747322 SELECT h.hashtag,pcr.value FROM MTRUser.portfolio_carac_ratio pcr, MTRBack.hashtags h where pcr.portfolio_id=22050503 and hashtag_type = 3594 and pcr.hashtag_id = h.hashtag_id; velour_link : https://www.fotonower.com/velours/22051230,22051231,22051232,22051233,22051234,22051235,22051236,22051237,22051238,22051239,22051240?tags=carton,pehd,autre,background,flou,mal_croppe,metal,papier,pet_clair,pet_fonce,environnement args[1349966732] : ((1349966732, -2.759960689904942, 492609224), (1349966732, -0.1832811322130552, 496442774), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349966660] : ((1349966660, -3.6423952310064656, 492609224), (1349966660, -0.2525242405041392, 496442774), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349966354] : ((1349966354, 1.6665261122484003, 492688767), (1349966354, -0.27908540848067065, 496442774), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349961943] : ((1349961943, -3.4763297454294833, 492609224), (1349961943, -0.09491828276763174, 496442774), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349961891] : ((1349961891, -3.5638632170610167, 492609224), (1349961891, -0.12909868458126308, 496442774), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349961839] : ((1349961839, -3.7473375039616363, 492609224), (1349961839, -0.11628141493813131, 496442774), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349961800] : ((1349961800, -4.46487996329803, 492609224), (1349961800, 0.07278929323041375, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349961767] : ((1349961767, -3.9963408584628395, 492609224), (1349961767, 0.18392775185106802, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349961734] : ((1349961734, -4.290000745571976, 492609224), (1349961734, 0.04531987985155634, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349961640] : ((1349961640, -5.860587693281128, 492609224), (1349961640, -0.012091278625452949, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349961635] : ((1349961635, -2.3085281471398233, 492609224), (1349961635, 0.017766763859871616, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349961631] : ((1349961631, -6.494606977354032, 492609224), (1349961631, 0.1688889538205189, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349961616] : ((1349961616, -6.267987868604908, 492609224), (1349961616, 0.12040235467459165, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349961516] : ((1349961516, -5.805313424589609, 492609224), (1349961516, -0.18932065862096123, 496442774), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349961428] : ((1349961428, -5.095596423110986, 492609224), (1349961428, -0.1820312072749001, 496442774), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349961376] : ((1349961376, -2.3606673633386137, 492609224), (1349961376, -0.07787906747793444, 496442774), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349937321] : ((1349937321, -5.947933087257705, 492609224), (1349937321, -0.2506212185573075, 496442774), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349937155] : ((1349937155, -6.650602500755737, 492609224), (1349937155, 0.02023440966560287, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349937147] : ((1349937147, -6.634633419340701, 492609224), (1349937147, 0.00972816610227214, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349937135] : ((1349937135, -6.663946224478437, 492609224), (1349937135, 0.04093340175389114, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349937081] : ((1349937081, -6.518523520514571, 492609224), (1349937081, 0.02878370926928302, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349936992] : ((1349936992, -5.4669880179731605, 492609224), (1349936992, -0.481770026270658, 501862349), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349936918] : ((1349936918, -6.694426907957827, 492609224), (1349936918, 0.148886346487455, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349936837] : ((1349936837, -6.5620202537064705, 492609224), (1349936837, 0.07566246754571253, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349936733] : ((1349936733, -5.766651449892757, 492609224), (1349936733, 1.1916689849755582, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349936730] : ((1349936730, -6.197611553922319, 492609224), (1349936730, 0.07158612091391746, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349936639] : ((1349936639, -4.116684645130978, 492609224), (1349936639, -0.6399559074324445, 501862349), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349936585] : ((1349936585, -0.8093456846469523, 492688767), (1349936585, 0.26154350995382464, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349936572] : ((1349936572, -6.646272025370569, 492609224), (1349936572, 0.02607416062656195, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349936545] : ((1349936545, -6.494650655281634, 492609224), (1349936545, 0.03252013631283206, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349935734] : ((1349935734, -2.889572588872418, 492609224), (1349935734, 0.051423712207463584, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349935703] : ((1349935703, -6.582896940315201, 492609224), (1349935703, 0.09865524529739075, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349926878] : ((1349926878, -3.6479138924467667, 492609224), (1349926878, -0.10694007640934022, 496442774), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349926869] : ((1349926869, -1.2001754045489212, 492688767), (1349926869, -0.13683677931291371, 496442774), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349926855] : ((1349926855, -1.7654126165274018, 492688767), (1349926855, 0.01081141450150362, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349926843] : ((1349926843, -2.6896523875350984, 492609224), (1349926843, -0.0306280009666605, 2107752395), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349926834] : ((1349926834, -0.575578589858721, 492688767), (1349926834, -0.17897224372254322, 496442774), '0.14085696298804612') We are sending mail with results at report@fotonower.com args[1349926735] : ((1349926735, -3.491725100380012, 492609224), (1349926735, -0.15090881643971144, 496442774), '0.14085696298804612') We are sending mail with results at report@fotonower.com refus_total : 0.14085696298804612 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=22050503 AND mpp.hide_status=0 ORDER BY mpp.order LIMIT 0, 1000 SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (1349936837,1349961635,1349961631,1349961616,1349937321,1349937155,1349937147,1349937135,1349937081,1349936992,1349936918,1349961800,1349936730,1349936639,1349936572,1349936545,1349935734,1349935703,1349966732,1349961839) Found this number of photos: 20 begin to download photo : 1349936837 begin to download photo : 1349937155 begin to download photo : 1349936918 begin to download photo : 1349936545 download finish for photo 1349936545 begin to download photo : 1349935734 download finish for photo 1349936837 begin to download photo : 1349961635 download finish for photo 1349936918 begin to download photo : 1349961800 download finish for photo 1349937155 begin to download photo : 1349937147 download finish for photo 1349961635 begin to download photo : 1349961631 download finish for photo 1349935734 begin to download photo : 1349935703 download finish for photo 1349961800 begin to download photo : 1349936730 download finish for photo 1349937147 begin to download photo : 1349937135 download finish for photo 1349961631 begin to download photo : 1349961616 download finish for photo 1349937135 begin to download photo : 1349937081 download finish for photo 1349936730 begin to download photo : 1349936639 download finish for photo 1349935703 begin to download photo : 1349966732 download finish for photo 1349961616 begin to download photo : 1349937321 download finish for photo 1349936639 begin to download photo : 1349936572 download finish for photo 1349966732 begin to download photo : 1349961839 download finish for photo 1349937081 begin to download photo : 1349936992 download finish for photo 1349937321 download finish for photo 1349936572 download finish for photo 1349961839 download finish for photo 1349936992 start upload file to ovh https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22050503_15-04-2025_22_01_55.pdf results_Auto_P22050503_15-04-2025_22_01_55.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22050503_15-04-2025_22_01_55.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','22050503','results_Auto_P22050503_15-04-2025_22_01_55.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22050503_15-04-2025_22_01_55.pdf','pdf','','1.16','0.14085696298804612') message_in_mail: Bonjour,
Veuillez trouver ci dessous les résultats du service carac on demand pour le portfolio: https://www.fotonower.com/view/22050503

https://www.fotonower.com/image?json=false&list_photos_id=1349966732
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349966660
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349966354
La photo est trop floue, merci de reprendre une photo.(avec le score = 1.6665261122484003)
https://www.fotonower.com/image?json=false&list_photos_id=1349961943
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349961891
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349961839
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349961800
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349961767
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349961734
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349961640
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349961635
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349961631
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349961616
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349961516
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349961428
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349961376
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349937321
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349937155
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349937147
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349937135
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349937081
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349936992
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349936918
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349936837
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349936733
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349936730
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349936639
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349936585
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349936572
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349936545
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349935734
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349935703
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349926878
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349926869
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349926855
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349926843
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349926834
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349926735
Bravo, la photo est bien prise.

Dans ces conditions,le taux de refus est: 14.09%
Veuillez trouver les photos des contaminants.

exemples de contaminants: carton: https://www.fotonower.com/view/22051230?limit=200
exemples de contaminants: pehd: https://www.fotonower.com/view/22051231?limit=200
exemples de contaminants: autre: https://www.fotonower.com/view/22051232?limit=200
exemples de contaminants: metal: https://www.fotonower.com/view/22051236?limit=200
exemples de contaminants: papier: https://www.fotonower.com/view/22051237?limit=200
exemples de contaminants: pet_clair: https://www.fotonower.com/view/22051238?limit=200
exemples de contaminants: pet_fonce: https://www.fotonower.com/view/22051239?limit=200
Veuillez trouver le rapport en pdf:https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22050503_15-04-2025_22_01_55.pdf.

Lien vers velours :https://www.fotonower.com/velours/22051230,22051231,22051232,22051233,22051234,22051235,22051236,22051237,22051238,22051239,22051240?tags=carton,pehd,autre,background,flou,mal_croppe,metal,papier,pet_clair,pet_fonce,environnement.


L'équipe Fotonower 202 b'' Server: nginx Date: Tue, 15 Apr 2025 20:02:09 GMT Content-Length: 0 Connection: close X-Message-Id: 7Jqxx42JSFGlkn-jkGQbEw 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 [1349966732, 1349966660, 1349966354, 1349961943, 1349961891, 1349961839, 1349961800, 1349961767, 1349961734, 1349961640, 1349961635, 1349961631, 1349961616, 1349961516, 1349961428, 1349961376, 1349937321, 1349937155, 1349937147, 1349937135, 1349937081, 1349936992, 1349936918, 1349936837, 1349936733, 1349936730, 1349936639, 1349936585, 1349936572, 1349936545, 1349935734, 1349935703, 1349926878, 1349926869, 1349926855, 1349926843, 1349926834, 1349926735] 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, '2723483') ('3318', '22050503', '1349966732', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349966660', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349966354', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961943', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961891', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961839', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961800', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961767', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961734', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961640', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961635', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961631', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961616', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961516', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961428', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961376', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937321', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937155', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937147', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937135', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937081', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936992', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936918', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936837', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936733', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936730', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936639', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936585', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936572', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936545', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349935734', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349935703', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926878', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926869', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926855', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926843', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926834', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926735', None, None, None, None, None, '2723483') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 38 time used for this insertion : 0.01690959930419922 save_final save missing photos in datou_result : time spend for datou_step_exec : 13.505134105682373 time spend to save output : 0.0172727108001709 total time spend for step 9 : 13.522406816482544 step10:split_time_score Tue Apr 15 22:02:09 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 ! 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'}] (('16', 9), ('17', 29)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} 15042025 22050503 Nombre de photos uploadées : 38 / 23040 (0%) 15042025 22050503 Nombre de photos taguées (types de déchets): 0 / 38 (0%) 15042025 22050503 Nombre de photos taguées (volume) : 0 / 38 (0%) elapsed_time : load_data_split_time_score 1.6689300537109375e-06 elapsed_time : order_list_meta_photo_and_scores 5.4836273193359375e-06 ?????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0016717910766601562 elapsed_time : insert_dashboard_record_day_entry 0.0275423526763916 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 : 0.20541652095918328 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22027920_15-04-2025_12_49_09.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22027920 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`=22027920 AND mptpi.`type`=3594 To do Qualite : 0.10993276470020877 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22027923_15-04-2025_12_24_55.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22027923 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`=22027923 AND mptpi.`type`=3594 To do Qualite : 0.05652087531411031 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22028718_15-04-2025_13_11_53.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22028718 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`=22028718 AND mptpi.`type`=3726 To do find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22049536 order by id desc limit 1 Qualite : 0.14085696298804612 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22050503_15-04-2025_22_01_55.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22050503 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`=22050503 AND mptpi.`type`=3594 To do Qualite : 0.04204030528478445 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22049539_15-04-2025_21_13_12.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22049539 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`=22049539 AND mptpi.`type`=3726 To do Qualite : 0.1399238807723525 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22049544_15-04-2025_21_21_53.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22049544 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`=22049544 AND mptpi.`type`=3594 To do Qualite : 0.1389535804325939 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P22050507_15-04-2025_21_29_01.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 22050507 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`=22050507 AND mptpi.`type`=3594 To do NUMBER BATCH : 0 # DISPLAY ALL COLLECTED DATA : {'15042025': {'nb_upload': 38, '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 [1349966732, 1349966660, 1349966354, 1349961943, 1349961891, 1349961839, 1349961800, 1349961767, 1349961734, 1349961640, 1349961635, 1349961631, 1349961616, 1349961516, 1349961428, 1349961376, 1349937321, 1349937155, 1349937147, 1349937135, 1349937081, 1349936992, 1349936918, 1349936837, 1349936733, 1349936730, 1349936639, 1349936585, 1349936572, 1349936545, 1349935734, 1349935703, 1349926878, 1349926869, 1349926855, 1349926843, 1349926834, 1349926735] Looping around the photos to save general results len do output : 1 /22050503Didn'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, '2723483') ('3318', '22050503', '1349966732', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349966660', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349966354', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961943', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961891', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961839', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961800', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961767', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961734', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961640', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961635', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961631', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961616', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961516', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961428', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349961376', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937321', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937155', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937147', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937135', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349937081', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936992', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936918', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936837', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936733', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936730', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936639', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936585', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936572', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349936545', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349935734', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349935703', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926878', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926869', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926855', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926843', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926834', None, None, None, None, None, '2723483') ('3318', None, None, None, None, None, None, None, '2723483') ('3318', '22050503', '1349926735', None, None, None, None, None, '2723483') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 39 time used for this insertion : 0.021243572235107422 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.442643404006958 time spend to save output : 0.021683454513549805 total time spend for step 10 : 1.4643268585205078 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 38 set_done_treatment 930.40user 438.08system 31:46.32elapsed 71%CPU (0avgtext+0avgdata 11032412maxresident)k 44101480inputs+579160outputs (1422193major+73226919minor)pagefaults 0swaps