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 : 3472646 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 : ['4344820'] with mtr_portfolio_ids : ['30413755'] and first list_photo_ids : [] new path : /proc/3472646/ 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 , BFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 7 ; length of list_pids : 7 ; length of list_args : 7 time to download the photos : 1.3245842456817627 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 Mon Feb 16 14:10:31 2026 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 havn't enough memory gpu , need / 3000 l 3632 free memory gpu now : 2111 wait 20 seconds l 3637 free memory gpu now : 2111 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2026-02-16 14:10:53.736053: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2026-02-16 14:10:53.762426: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493010000 Hz 2026-02-16 14:10:53.764482: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f07ec000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2026-02-16 14:10:53.764529: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2026-02-16 14:10:53.767881: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2026-02-16 14:10:53.906265: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2fd890c0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2026-02-16 14:10:53.906312: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2026-02-16 14:10:53.907146: 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 2026-02-16 14:10:53.926498: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-16 14:10:53.929372: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-16 14:10:53.931865: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2026-02-16 14:10:53.933275: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2026-02-16 14:10:53.935651: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2026-02-16 14:10:53.936870: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2026-02-16 14:10:53.941608: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-16 14:10:53.942718: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2026-02-16 14:10:53.942790: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-16 14:10:53.943393: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2026-02-16 14:10:53.943412: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2026-02-16 14:10:53.943434: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2026-02-16 14:10:53.944284: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1734 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. 2026-02-16 14:10:54.208871: 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 2026-02-16 14:10:54.208950: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-16 14:10:54.208970: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-16 14:10:54.208988: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2026-02-16 14:10:54.209005: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2026-02-16 14:10:54.209022: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2026-02-16 14:10:54.209039: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2026-02-16 14:10:54.209056: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-16 14:10:54.209967: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2026-02-16 14:10:54.210932: 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 2026-02-16 14:10:54.210967: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-16 14:10:54.210985: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-16 14:10:54.211002: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2026-02-16 14:10:54.211019: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2026-02-16 14:10:54.211035: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2026-02-16 14:10:54.211061: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2026-02-16 14:10:54.211078: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-16 14:10:54.211978: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2026-02-16 14:10:54.212007: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2026-02-16 14:10:54.212017: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2026-02-16 14:10:54.212026: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2026-02-16 14:10:54.212980: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1734 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 : [] 2026-02-16 14:11:02.834473: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-16 14:11:03.018190: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-16 14:11:04.334914: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-16 14:11:04.334968: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-16 14:11:04.341496: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-16 14:11:04.341520: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-16 14:11:04.392506: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-16 14:11:04.392561: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-16 14:11:04.435759: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.09GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-16 14:11:04.435801: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.09GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-16 14:11:04.488041: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.15GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-16 14:11:04.488086: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.15GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-16 14:11:04.489795: W tensorflow/core/common_runtime/bfc_allocator.cc:311] Garbage collection: deallocate free memory regions (i.e., allocations) so that we can re-allocate a larger region to avoid OOM due to memory fragmentation. If you see this message frequently, you are running near the threshold of the available device memory and re-allocation may incur great performance overhead. You may try smaller batch sizes to observe the performance impact. Set TF_ENABLE_GPU_GARBAGE_COLLECTION=false if you'd like to disable this feature. 2026-02-16 14:11:04.507662: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.508555: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.552751: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.553332: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.555048: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.555611: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.562049: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.562642: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.564518: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.565073: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.571671: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.572215: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.573883: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.574453: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.605094: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.605659: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.606213: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.606779: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.610309: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.610861: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.626218: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.626803: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.627366: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.627913: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.640199: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.640750: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.641307: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.641855: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.646088: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.646651: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.651102: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.651650: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.663571: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.664153: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.668236: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.668785: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.669602: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.670160: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.680668: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.681245: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.681807: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.682409: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.682961: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.683536: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.726435: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.726497: W tensorflow/core/kernels/gpu_utils.cc:49] Failed to allocate memory for convolution redzone checking; skipping this check. This is benign and only means that we won't check cudnn for out-of-bounds reads and writes. This message will only be printed once. 2026-02-16 14:11:04.727418: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.728326: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.735457: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.736008: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.743892: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.744441: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.760624: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.761386: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.761990: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.762547: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.766543: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.767088: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.767634: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.768182: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.769299: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.779301: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.779942: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.789166: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.789869: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.790529: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.791140: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.791697: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-16 14:11:04.792351: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.19G (1283391488 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory local folder : /data/models_weight/learn_RUBBIA_REFUS_AMIENS_23 /data/models_weight/learn_RUBBIA_REFUS_AMIENS_23/mask_model.h5 size_local : 256009536 size in s3 : 256009536 create time local : 2021-08-09 09:43:22 create time in s3 : 2021-08-06 18:54:04 mask_model.h5 already exist and didn't need to update list_images length : 7 NEW PHOTO Processing 1 images image shape: (2160, 3840, 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: 3840.00000 nb d'objets trouves : 100 NEW PHOTO Processing 1 images image shape: (2160, 3840, 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: 3840.00000 nb d'objets trouves : 100 NEW PHOTO Processing 1 images image shape: (2160, 3840, 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: 3840.00000 nb d'objets trouves : 90 NEW PHOTO Processing 1 images image shape: (2160, 3840, 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: 3840.00000 nb d'objets trouves : 85 NEW PHOTO Processing 1 images image shape: (2160, 3840, 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: 3840.00000 nb d'objets trouves : 100 NEW PHOTO Processing 1 images image shape: (2160, 3840, 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: 3840.00000 nb d'objets trouves : 83 NEW PHOTO Processing 1 images image shape: (2160, 3840, 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: 3840.00000 nb d'objets trouves : 100 Detection mask done ! Trying to reset tf kernel 3473013 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 918 tf kernel not reseted sub process len(results) : 7 len(list_Values) 0 None max_time_sub_proc : 3600 parent process len(results) : 7 len(list_Values) 0 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 : 2111 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'] DEBUG bbox = [1704, 1080, 1992, 1284] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.1341691017150879 nb_pixel_total : 29101 time to create 1 rle with old method : 0.03751039505004883 length of segment : 280 DEBUG bbox = [1806, 810, 2094, 1020] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.11873888969421387 nb_pixel_total : 42392 time to create 1 rle with old method : 0.04971480369567871 length of segment : 245 DEBUG bbox = [126, 294, 348, 504] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.13449501991271973 nb_pixel_total : 20848 time to create 1 rle with old method : 0.0279238224029541 length of segment : 202 DEBUG bbox = [1614, 1896, 1764, 2070] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.062296152114868164 nb_pixel_total : 16587 time to create 1 rle with old method : 0.024916410446166992 length of segment : 130 DEBUG bbox = [354, 1572, 744, 2022] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.3890974521636963 nb_pixel_total : 79036 time to create 1 rle with old method : 0.09461355209350586 length of segment : 331 DEBUG bbox = [984, 1296, 1512, 1770] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.4447147846221924 nb_pixel_total : 152185 time to create 1 rle with new method : 0.0158843994140625 length of segment : 522 DEBUG bbox = [264, 1008, 618, 1470] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.35663628578186035 nb_pixel_total : 62943 time to create 1 rle with old method : 0.07937765121459961 length of segment : 382 DEBUG bbox = [1182, 3348, 1344, 3504] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.07245945930480957 nb_pixel_total : 15541 time to create 1 rle with old method : 0.02484440803527832 length of segment : 156 DEBUG bbox = [906, 12, 1104, 228] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.11420989036560059 nb_pixel_total : 26620 time to create 1 rle with old method : 0.0516507625579834 length of segment : 175 DEBUG bbox = [858, 1158, 1014, 1392] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.09547162055969238 nb_pixel_total : 19818 time to create 1 rle with old method : 0.026660919189453125 length of segment : 143 DEBUG bbox = [330, 660, 558, 1002] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.12232732772827148 nb_pixel_total : 41470 time to create 1 rle with old method : 0.05272507667541504 length of segment : 206 DEBUG bbox = [24, 420, 306, 738] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.17941641807556152 nb_pixel_total : 40897 time to create 1 rle with old method : 0.050501108169555664 length of segment : 369 DEBUG bbox = [618, 1116, 900, 1662] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.2647974491119385 nb_pixel_total : 84301 time to create 1 rle with old method : 0.1379833221435547 length of segment : 218 DEBUG bbox = [90, 576, 348, 876] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0580441951751709 nb_pixel_total : 38777 time to create 1 rle with old method : 0.052671194076538086 length of segment : 245 DEBUG bbox = [180, 840, 450, 1212] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0464167594909668 nb_pixel_total : 52221 time to create 1 rle with old method : 0.06577086448669434 length of segment : 369 DEBUG bbox = [864, 360, 1224, 1068] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.4022974967956543 nb_pixel_total : 161155 time to create 1 rle with new method : 0.012805461883544922 length of segment : 361 DEBUG bbox = [678, 3678, 906, 3840] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.11820268630981445 nb_pixel_total : 17821 time to create 1 rle with old method : 0.024259328842163086 length of segment : 211 DEBUG bbox = [1020, 1176, 1164, 1320] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.010591983795166016 nb_pixel_total : 13448 time to create 1 rle with old method : 0.0182650089263916 length of segment : 140 DEBUG bbox = [228, 1242, 414, 1410] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.010759353637695312 nb_pixel_total : 17293 time to create 1 rle with old method : 0.022969722747802734 length of segment : 179 DEBUG bbox = [912, 3300, 1122, 3480] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.11189818382263184 nb_pixel_total : 18226 time to create 1 rle with old method : 0.025525808334350586 length of segment : 287 DEBUG bbox = [1056, 60, 1386, 300] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.14937257766723633 nb_pixel_total : 45968 time to create 1 rle with old method : 0.05639457702636719 length of segment : 327 DEBUG bbox = [384, 3150, 504, 3270] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.057885169982910156 nb_pixel_total : 9630 time to create 1 rle with old method : 0.014832019805908203 length of segment : 119 DEBUG bbox = [834, 2790, 1128, 3276] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.2333662509918213 nb_pixel_total : 69255 time to create 1 rle with old method : 0.08453845977783203 length of segment : 302 DEBUG bbox = [384, 2220, 720, 2778] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.35904717445373535 nb_pixel_total : 93292 time to create 1 rle with old method : 0.10764503479003906 length of segment : 329 DEBUG bbox = [138, 774, 300, 966] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0032629966735839844 nb_pixel_total : 15845 time to create 1 rle with old method : 0.021076679229736328 length of segment : 145 DEBUG bbox = [1014, 3462, 1218, 3540] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.029805660247802734 nb_pixel_total : 4348 time to create 1 rle with old method : 0.009438276290893555 length of segment : 220 DEBUG bbox = [1716, 1668, 1854, 1830] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.05577707290649414 nb_pixel_total : 13711 time to create 1 rle with old method : 0.02536487579345703 length of segment : 108 DEBUG bbox = [1524, 936, 1746, 1110] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.07742452621459961 nb_pixel_total : 16287 time to create 1 rle with old method : 0.02247905731201172 length of segment : 210 DEBUG bbox = [324, 360, 816, 744] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.2789497375488281 nb_pixel_total : 42263 time to create 1 rle with old method : 0.05109906196594238 length of segment : 486 DEBUG bbox = [1770, 42, 2154, 432] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.26890063285827637 nb_pixel_total : 95750 time to create 1 rle with old method : 0.11730837821960449 length of segment : 489 DEBUG bbox = [252, 1488, 498, 1656] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.04059958457946777 nb_pixel_total : 15621 time to create 1 rle with old method : 0.022081375122070312 length of segment : 187 DEBUG bbox = [600, 1704, 894, 2100] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.08698582649230957 nb_pixel_total : 53641 time to create 1 rle with old method : 0.06521105766296387 length of segment : 241 DEBUG bbox = [1206, 576, 1476, 1038] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.2020580768585205 nb_pixel_total : 71841 time to create 1 rle with old method : 0.09938549995422363 length of segment : 316 DEBUG bbox = [414, 2742, 624, 2964] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.053887128829956055 nb_pixel_total : 19414 time to create 1 rle with old method : 0.026463747024536133 length of segment : 190 DEBUG bbox = [30, 1740, 264, 2064] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.19236516952514648 nb_pixel_total : 49970 time to create 1 rle with old method : 0.06819558143615723 length of segment : 268 DEBUG bbox = [1314, 2622, 1470, 2820] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.07672238349914551 nb_pixel_total : 21203 time to create 1 rle with old method : 0.030028581619262695 length of segment : 148 DEBUG bbox = [126, 2238, 330, 2502] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.13183188438415527 nb_pixel_total : 27356 time to create 1 rle with old method : 0.03429770469665527 length of segment : 196 DEBUG bbox = [234, 186, 552, 378] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.06991124153137207 nb_pixel_total : 30315 time to create 1 rle with old method : 0.04173588752746582 length of segment : 259 DEBUG bbox = [18, 2160, 162, 2298] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.034087181091308594 nb_pixel_total : 10992 time to create 1 rle with old method : 0.01739954948425293 length of segment : 138 DEBUG bbox = [570, 72, 816, 210] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.09075331687927246 nb_pixel_total : 17566 time to create 1 rle with old method : 0.026822805404663086 length of segment : 225 DEBUG bbox = [480, 2082, 780, 2220] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.028493642807006836 nb_pixel_total : 18576 time to create 1 rle with old method : 0.026352405548095703 length of segment : 279 DEBUG bbox = [804, 1428, 954, 1680] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.026381969451904297 nb_pixel_total : 18514 time to create 1 rle with old method : 0.025564193725585938 length of segment : 125 DEBUG bbox = [528, 3042, 726, 3198] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.09613561630249023 nb_pixel_total : 17983 time to create 1 rle with old method : 0.031012296676635742 length of segment : 196 DEBUG bbox = [738, 3198, 978, 3468] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.07988357543945312 nb_pixel_total : 26302 time to create 1 rle with old method : 0.03520560264587402 length of segment : 214 DEBUG bbox = [1146, 2550, 1374, 2676] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.08385109901428223 nb_pixel_total : 18333 time to create 1 rle with old method : 0.02455449104309082 length of segment : 212 DEBUG bbox = [1848, 1380, 1998, 1584] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.05626630783081055 nb_pixel_total : 16930 time to create 1 rle with old method : 0.025331974029541016 length of segment : 143 DEBUG bbox = [156, 1710, 426, 2100] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.06988954544067383 nb_pixel_total : 46039 time to create 1 rle with old method : 0.056356191635131836 length of segment : 296 DEBUG bbox = [120, 2502, 456, 2784] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.13161897659301758 nb_pixel_total : 58305 time to create 1 rle with old method : 0.07025027275085449 length of segment : 338 DEBUG bbox = [306, 2166, 462, 2382] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.017737150192260742 nb_pixel_total : 12558 time to create 1 rle with old method : 0.017336606979370117 length of segment : 143 DEBUG bbox = [30, 2298, 174, 2586] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.041890621185302734 nb_pixel_total : 26395 time to create 1 rle with old method : 0.03663945198059082 length of segment : 143 DEBUG bbox = [492, 2070, 822, 2484] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0461575984954834 nb_pixel_total : 66989 time to create 1 rle with old method : 0.09250283241271973 length of segment : 377 DEBUG bbox = [672, 2892, 870, 3090] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.06933426856994629 nb_pixel_total : 20069 time to create 1 rle with old method : 0.027499914169311523 length of segment : 252 DEBUG bbox = [1098, 258, 1224, 384] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001012563705444336 nb_pixel_total : 7850 time to create 1 rle with old method : 0.009732246398925781 length of segment : 110 DEBUG bbox = [414, 1194, 990, 1998] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.04288053512573242 nb_pixel_total : 137211 time to create 1 rle with old method : 0.19153046607971191 length of segment : 615 DEBUG bbox = [540, 1980, 678, 2106] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0008339881896972656 nb_pixel_total : 10998 time to create 1 rle with old method : 0.012615442276000977 length of segment : 130 DEBUG bbox = [0, 216, 138, 456] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.04981708526611328 nb_pixel_total : 23153 time to create 1 rle with old method : 0.032121896743774414 length of segment : 128 DEBUG bbox = [198, 1632, 474, 1746] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004875659942626953 nb_pixel_total : 13478 time to create 1 rle with old method : 0.017969608306884766 length of segment : 247 DEBUG bbox = [150, 1680, 654, 2238] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.015480279922485352 nb_pixel_total : 48483 time to create 1 rle with old method : 0.0656585693359375 length of segment : 520 DEBUG bbox = [888, 1338, 996, 1476] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0002727508544921875 nb_pixel_total : 7674 time to create 1 rle with old method : 0.009046792984008789 length of segment : 103 DEBUG bbox = [12, 90, 120, 198] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.017848730087280273 nb_pixel_total : 5614 time to create 1 rle with old method : 0.006604433059692383 length of segment : 102 DEBUG bbox = [1206, 564, 1506, 1038] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.021335363388061523 nb_pixel_total : 72041 time to create 1 rle with old method : 0.09079146385192871 length of segment : 324 DEBUG bbox = [1560, 2778, 1800, 2970] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002007007598876953 nb_pixel_total : 18003 time to create 1 rle with old method : 0.020724058151245117 length of segment : 164 DEBUG bbox = [840, 2586, 1056, 2898] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.005323171615600586 nb_pixel_total : 41634 time to create 1 rle with old method : 0.053853750228881836 length of segment : 228 DEBUG bbox = [1602, 3360, 1728, 3480] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0008099079132080078 nb_pixel_total : 10916 time to create 1 rle with old method : 0.01294851303100586 length of segment : 133 DEBUG bbox = [1692, 3210, 1842, 3300] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0007672309875488281 nb_pixel_total : 7572 time to create 1 rle with old method : 0.009082555770874023 length of segment : 146 DEBUG bbox = [570, 2064, 750, 2256] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002440214157104492 nb_pixel_total : 15109 time to create 1 rle with old method : 0.020513057708740234 length of segment : 173 DEBUG bbox = [1314, 2580, 1512, 2724] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0013573169708251953 nb_pixel_total : 16615 time to create 1 rle with old method : 0.019208192825317383 length of segment : 184 DEBUG bbox = [852, 474, 1074, 606] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0021371841430664062 nb_pixel_total : 17099 time to create 1 rle with old method : 0.01991868019104004 length of segment : 195 DEBUG bbox = [1440, 3144, 1596, 3264] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0009415149688720703 nb_pixel_total : 10800 time to create 1 rle with old method : 0.01251983642578125 length of segment : 147 DEBUG bbox = [342, 2856, 516, 2988] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.021933317184448242 nb_pixel_total : 15187 time to create 1 rle with old method : 0.022681474685668945 length of segment : 171 DEBUG bbox = [1734, 3156, 1824, 3240] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.000335693359375 nb_pixel_total : 4879 time to create 1 rle with old method : 0.005953311920166016 length of segment : 97 DEBUG bbox = [486, 3306, 708, 3552] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.02095961570739746 nb_pixel_total : 31877 time to create 1 rle with old method : 0.04946565628051758 length of segment : 209 DEBUG bbox = [1110, 1800, 1332, 1992] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0024132728576660156 nb_pixel_total : 22060 time to create 1 rle with old method : 0.02774953842163086 length of segment : 217 DEBUG bbox = [468, 0, 1314, 480] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.09639906883239746 nb_pixel_total : 225759 time to create 1 rle with new method : 0.030542850494384766 length of segment : 942 DEBUG bbox = [684, 138, 954, 450] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0015778541564941406 nb_pixel_total : 48864 time to create 1 rle with old method : 0.05680561065673828 length of segment : 250 DEBUG bbox = [468, 2874, 696, 3006] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.009505748748779297 nb_pixel_total : 15915 time to create 1 rle with old method : 0.02268528938293457 length of segment : 178 DEBUG bbox = [1530, 1770, 1764, 2112] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.003356456756591797 nb_pixel_total : 35905 time to create 1 rle with old method : 0.04347729682922363 length of segment : 224 DEBUG bbox = [1176, 618, 1362, 792] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0015265941619873047 nb_pixel_total : 21394 time to create 1 rle with old method : 0.025042295455932617 length of segment : 174 DEBUG bbox = [1398, 2964, 1512, 3066] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0006804466247558594 nb_pixel_total : 6247 time to create 1 rle with old method : 0.0076258182525634766 length of segment : 97 DEBUG bbox = [414, 2976, 672, 3204] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00911259651184082 nb_pixel_total : 10918 time to create 1 rle with old method : 0.012772321701049805 length of segment : 279 DEBUG bbox = [18, 282, 198, 534] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.022273540496826172 nb_pixel_total : 30810 time to create 1 rle with old method : 0.04101705551147461 length of segment : 186 DEBUG bbox = [984, 606, 1158, 738] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0015587806701660156 nb_pixel_total : 12838 time to create 1 rle with old method : 0.014244556427001953 length of segment : 151 DEBUG bbox = [258, 3198, 438, 3456] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.029012441635131836 nb_pixel_total : 23406 time to create 1 rle with old method : 0.030698299407958984 length of segment : 163 DEBUG bbox = [1314, 30, 1674, 468] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00635981559753418 nb_pixel_total : 75493 time to create 1 rle with old method : 0.0821232795715332 length of segment : 295 DEBUG bbox = [1782, 3144, 1860, 3246] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0002651214599609375 nb_pixel_total : 4323 time to create 1 rle with old method : 0.0052127838134765625 length of segment : 90 DEBUG bbox = [1206, 1230, 1356, 1392] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0011246204376220703 nb_pixel_total : 11314 time to create 1 rle with old method : 0.013200998306274414 length of segment : 138 DEBUG bbox = [1380, 2814, 1554, 2982] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0011034011840820312 nb_pixel_total : 15000 time to create 1 rle with old method : 0.017435550689697266 length of segment : 172 DEBUG bbox = [264, 2598, 432, 2784] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.023787736892700195 nb_pixel_total : 14942 time to create 1 rle with old method : 0.022993803024291992 length of segment : 155 DEBUG bbox = [282, 468, 510, 720] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0324702262878418 nb_pixel_total : 29754 time to create 1 rle with old method : 0.03534865379333496 length of segment : 219 DEBUG bbox = [1356, 672, 1560, 888] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0017235279083251953 nb_pixel_total : 26295 time to create 1 rle with old method : 0.029535531997680664 length of segment : 204 DEBUG bbox = [1200, 3216, 1512, 3372] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0019037723541259766 nb_pixel_total : 27613 time to create 1 rle with old method : 0.030797481536865234 length of segment : 275 DEBUG bbox = [1386, 3150, 1506, 3234] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00027441978454589844 nb_pixel_total : 4981 time to create 1 rle with old method : 0.0058362483978271484 length of segment : 121 DEBUG bbox = [798, 2148, 984, 2316] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0062503814697265625 nb_pixel_total : 16608 time to create 1 rle with old method : 0.021532058715820312 length of segment : 161 DEBUG bbox = [1584, 2874, 1872, 3084] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001970052719116211 nb_pixel_total : 24923 time to create 1 rle with old method : 0.027698040008544922 length of segment : 348 DEBUG bbox = [630, 498, 858, 618] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.010403156280517578 nb_pixel_total : 14426 time to create 1 rle with old method : 0.02047419548034668 length of segment : 260 DEBUG bbox = [672, 1062, 840, 1284] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.019908428192138672 nb_pixel_total : 18239 time to create 1 rle with old method : 0.025061368942260742 length of segment : 171 DEBUG bbox = [756, 1164, 918, 1362] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.005369663238525391 nb_pixel_total : 13364 time to create 1 rle with old method : 0.017414331436157227 length of segment : 145 DEBUG bbox = [690, 2262, 1002, 2688] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.030130386352539062 nb_pixel_total : 48778 time to create 1 rle with old method : 0.05606985092163086 length of segment : 338 DEBUG bbox = [474, 1656, 882, 2064] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.06551647186279297 nb_pixel_total : 99321 time to create 1 rle with old method : 0.11018490791320801 length of segment : 382 DEBUG bbox = [1170, 1866, 1488, 2094] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002359628677368164 nb_pixel_total : 32179 time to create 1 rle with old method : 0.03571581840515137 length of segment : 345 DEBUG bbox = [810, 1524, 1182, 1860] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.008045434951782227 nb_pixel_total : 63388 time to create 1 rle with old method : 0.07055878639221191 length of segment : 402 DEBUG bbox = [1488, 3276, 1578, 3354] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0002663135528564453 nb_pixel_total : 3953 time to create 1 rle with old method : 0.0044574737548828125 length of segment : 85 DEBUG bbox = [150, 60, 714, 534] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.08122730255126953 nb_pixel_total : 124017 time to create 1 rle with old method : 0.1367044448852539 length of segment : 488 DEBUG bbox = [852, 408, 1032, 528] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00037479400634765625 nb_pixel_total : 13958 time to create 1 rle with old method : 0.015146493911743164 length of segment : 285 DEBUG bbox = [1362, 3042, 1512, 3198] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0005428791046142578 nb_pixel_total : 4311 time to create 1 rle with old method : 0.0050449371337890625 length of segment : 161 DEBUG bbox = [1248, 468, 1338, 594] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00039768218994140625 nb_pixel_total : 5936 time to create 1 rle with old method : 0.006796836853027344 length of segment : 79 DEBUG bbox = [1338, 3726, 1758, 3840] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002314329147338867 nb_pixel_total : 35328 time to create 1 rle with old method : 0.03872084617614746 length of segment : 421 DEBUG bbox = [618, 558, 792, 690] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0018153190612792969 nb_pixel_total : 5576 time to create 1 rle with old method : 0.006402254104614258 length of segment : 159 DEBUG bbox = [828, 636, 1020, 918] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0031304359436035156 nb_pixel_total : 29008 time to create 1 rle with old method : 0.03195452690124512 length of segment : 245 DEBUG bbox = [456, 2472, 654, 2670] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.016811370849609375 nb_pixel_total : 20992 time to create 1 rle with old method : 0.02465653419494629 length of segment : 209 DEBUG bbox = [210, 2280, 312, 2454] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.010419130325317383 nb_pixel_total : 6511 time to create 1 rle with old method : 0.011205673217773438 length of segment : 84 DEBUG bbox = [1776, 1644, 1998, 1794] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0014045238494873047 nb_pixel_total : 21368 time to create 1 rle with old method : 0.02361011505126953 length of segment : 216 DEBUG bbox = [1704, 3402, 1848, 3510] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001012563705444336 nb_pixel_total : 7910 time to create 1 rle with old method : 0.008732795715332031 length of segment : 112 DEBUG bbox = [1284, 1326, 1440, 1416] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0005574226379394531 nb_pixel_total : 8858 time to create 1 rle with old method : 0.010681629180908203 length of segment : 145 DEBUG bbox = [342, 2292, 588, 2514] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.022184133529663086 nb_pixel_total : 32135 time to create 1 rle with old method : 0.037862539291381836 length of segment : 285 DEBUG bbox = [1758, 2778, 1896, 2892] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0004582405090332031 nb_pixel_total : 9133 time to create 1 rle with old method : 0.010214090347290039 length of segment : 125 DEBUG bbox = [390, 2556, 762, 2886] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.009801387786865234 nb_pixel_total : 52053 time to create 1 rle with old method : 0.059008121490478516 length of segment : 497 DEBUG bbox = [1104, 3438, 1200, 3570] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0005674362182617188 nb_pixel_total : 8187 time to create 1 rle with old method : 0.009395360946655273 length of segment : 85 DEBUG bbox = [330, 2070, 588, 2304] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.015926361083984375 nb_pixel_total : 33540 time to create 1 rle with old method : 0.044538021087646484 length of segment : 243 DEBUG bbox = [984, 294, 1146, 504] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0004696846008300781 nb_pixel_total : 17891 time to create 1 rle with old method : 0.019520044326782227 length of segment : 152 DEBUG bbox = [786, 3744, 954, 3834] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.003424406051635742 nb_pixel_total : 11365 time to create 1 rle with old method : 0.014684677124023438 length of segment : 165 DEBUG bbox = [1032, 174, 1344, 462] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0009374618530273438 nb_pixel_total : 28237 time to create 1 rle with old method : 0.030551910400390625 length of segment : 349 DEBUG bbox = [1332, 2976, 1452, 3060] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0002741813659667969 nb_pixel_total : 3593 time to create 1 rle with old method : 0.004020214080810547 length of segment : 90 DEBUG bbox = [798, 2586, 1650, 3378] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.025522470474243164 nb_pixel_total : 228405 time to create 1 rle with new method : 0.04134535789489746 length of segment : 788 DEBUG bbox = [120, 576, 324, 744] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.025000333786010742 nb_pixel_total : 19261 time to create 1 rle with old method : 0.025201082229614258 length of segment : 190 DEBUG bbox = [762, 1410, 906, 1566] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.007463932037353516 nb_pixel_total : 13093 time to create 1 rle with old method : 0.019965410232543945 length of segment : 130 DEBUG bbox = [366, 864, 606, 1098] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.02152705192565918 nb_pixel_total : 32181 time to create 1 rle with old method : 0.04089856147766113 length of segment : 206 DEBUG bbox = [504, 66, 726, 432] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002794504165649414 nb_pixel_total : 45497 time to create 1 rle with old method : 0.048905134201049805 length of segment : 176 DEBUG bbox = [1584, 618, 2004, 1038] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.007901668548583984 nb_pixel_total : 56435 time to create 1 rle with old method : 0.05989670753479004 length of segment : 375 DEBUG bbox = [156, 582, 324, 762] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0019118785858154297 nb_pixel_total : 18476 time to create 1 rle with old method : 0.02084207534790039 length of segment : 172 DEBUG bbox = [864, 2268, 1068, 2580] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0012574195861816406 nb_pixel_total : 26332 time to create 1 rle with old method : 0.029114484786987305 length of segment : 275 DEBUG bbox = [1062, 3498, 1272, 3774] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.01941084861755371 nb_pixel_total : 25593 time to create 1 rle with old method : 0.03241562843322754 length of segment : 193 DEBUG bbox = [1626, 2004, 2088, 2226] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.017183780670166016 nb_pixel_total : 48100 time to create 1 rle with old method : 0.055174827575683594 length of segment : 453 DEBUG bbox = [174, 1134, 318, 1332] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0047149658203125 nb_pixel_total : 14121 time to create 1 rle with old method : 0.017374515533447266 length of segment : 112 DEBUG bbox = [270, 1254, 408, 1488] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.027472734451293945 nb_pixel_total : 15187 time to create 1 rle with old method : 0.020800113677978516 length of segment : 118 DEBUG bbox = [1674, 912, 1848, 1062] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001392364501953125 nb_pixel_total : 13868 time to create 1 rle with old method : 0.014788150787353516 length of segment : 163 DEBUG bbox = [12, 1428, 258, 1860] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.009411811828613281 nb_pixel_total : 61305 time to create 1 rle with old method : 0.06594729423522949 length of segment : 241 DEBUG bbox = [540, 30, 852, 156] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0035278797149658203 nb_pixel_total : 20362 time to create 1 rle with old method : 0.0245816707611084 length of segment : 292 DEBUG bbox = [336, 1092, 618, 1380] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.03266739845275879 nb_pixel_total : 38228 time to create 1 rle with old method : 0.04604077339172363 length of segment : 284 DEBUG bbox = [1686, 480, 1962, 732] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0037262439727783203 nb_pixel_total : 31944 time to create 1 rle with old method : 0.03376364707946777 length of segment : 240 DEBUG bbox = [342, 762, 588, 1014] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.03335142135620117 nb_pixel_total : 31187 time to create 1 rle with old method : 0.03683590888977051 length of segment : 221 DEBUG bbox = [1644, 2184, 1944, 2610] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.006516933441162109 nb_pixel_total : 80610 time to create 1 rle with old method : 0.08391308784484863 length of segment : 351 DEBUG bbox = [0, 0, 594, 366] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.06833958625793457 nb_pixel_total : 126106 time to create 1 rle with old method : 0.1351487636566162 length of segment : 565 DEBUG bbox = [1248, 744, 1500, 1128] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.009807348251342773 nb_pixel_total : 54083 time to create 1 rle with old method : 0.05713152885437012 length of segment : 257 DEBUG bbox = [228, 2184, 456, 2388] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.022579669952392578 nb_pixel_total : 13256 time to create 1 rle with old method : 0.014041900634765625 length of segment : 169 DEBUG bbox = [432, 2562, 642, 2724] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.012332916259765625 nb_pixel_total : 15887 time to create 1 rle with old method : 0.01694774627685547 length of segment : 190 DEBUG bbox = [372, 1578, 660, 1740] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.026366710662841797 nb_pixel_total : 30623 time to create 1 rle with old method : 0.031167268753051758 length of segment : 278 DEBUG bbox = [906, 660, 1296, 1146] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.08317780494689941 nb_pixel_total : 99139 time to create 1 rle with old method : 0.1011650562286377 length of segment : 395 DEBUG bbox = [2064, 1452, 2154, 1620] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.006171226501464844 nb_pixel_total : 11608 time to create 1 rle with old method : 0.017466306686401367 length of segment : 91 DEBUG bbox = [12, 1728, 312, 2004] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.003896951675415039 nb_pixel_total : 53558 time to create 1 rle with old method : 0.05524444580078125 length of segment : 307 DEBUG bbox = [1812, 720, 1980, 972] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0017559528350830078 nb_pixel_total : 23699 time to create 1 rle with old method : 0.02480340003967285 length of segment : 233 DEBUG bbox = [360, 1950, 678, 2484] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.03677058219909668 nb_pixel_total : 60753 time to create 1 rle with old method : 0.07544517517089844 length of segment : 497 DEBUG bbox = [1602, 1680, 1830, 1908] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0032165050506591797 nb_pixel_total : 23805 time to create 1 rle with old method : 0.024909496307373047 length of segment : 309 DEBUG bbox = [942, 2172, 1254, 2544] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.06286454200744629 nb_pixel_total : 44107 time to create 1 rle with old method : 0.04667520523071289 length of segment : 249 DEBUG bbox = [36, 666, 282, 840] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004859209060668945 nb_pixel_total : 22757 time to create 1 rle with old method : 0.0239565372467041 length of segment : 221 DEBUG bbox = [1458, 948, 2058, 1560] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.04378557205200195 nb_pixel_total : 132594 time to create 1 rle with old method : 0.14365220069885254 length of segment : 522 DEBUG bbox = [1470, 3540, 1614, 3696] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0011768341064453125 nb_pixel_total : 14268 time to create 1 rle with old method : 0.015613794326782227 length of segment : 129 DEBUG bbox = [126, 1944, 396, 2280] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.006944894790649414 nb_pixel_total : 50025 time to create 1 rle with old method : 0.0562899112701416 length of segment : 265 DEBUG bbox = [1176, 1104, 1290, 1236] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004082441329956055 nb_pixel_total : 9171 time to create 1 rle with old method : 0.011232376098632812 length of segment : 104 DEBUG bbox = [1362, 1890, 1674, 2226] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0060346126556396484 nb_pixel_total : 50723 time to create 1 rle with old method : 0.0536196231842041 length of segment : 249 DEBUG bbox = [1332, 528, 1536, 726] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004439353942871094 nb_pixel_total : 22633 time to create 1 rle with old method : 0.026992082595825195 length of segment : 202 DEBUG bbox = [12, 2076, 138, 2166] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0022470951080322266 nb_pixel_total : 7378 time to create 1 rle with old method : 0.008166790008544922 length of segment : 106 DEBUG bbox = [198, 942, 498, 1134] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0035254955291748047 nb_pixel_total : 32971 time to create 1 rle with old method : 0.03484368324279785 length of segment : 277 DEBUG bbox = [1596, 60, 1842, 216] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002580881118774414 nb_pixel_total : 23119 time to create 1 rle with old method : 0.024626970291137695 length of segment : 243 DEBUG bbox = [0, 1224, 180, 1422] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002531290054321289 nb_pixel_total : 21309 time to create 1 rle with old method : 0.022858381271362305 length of segment : 159 DEBUG bbox = [336, 1368, 570, 1602] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.007043123245239258 nb_pixel_total : 26904 time to create 1 rle with old method : 0.03151440620422363 length of segment : 203 DEBUG bbox = [1086, 444, 1350, 756] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.011610031127929688 nb_pixel_total : 48331 time to create 1 rle with old method : 0.054381370544433594 length of segment : 272 DEBUG bbox = [1134, 1458, 1404, 1734] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.017382144927978516 nb_pixel_total : 28500 time to create 1 rle with old method : 0.0350956916809082 length of segment : 240 DEBUG bbox = [102, 2448, 372, 2676] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0071163177490234375 nb_pixel_total : 15794 time to create 1 rle with old method : 0.02026844024658203 length of segment : 230 DEBUG bbox = [1992, 1356, 2148, 1458] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0016040802001953125 nb_pixel_total : 10869 time to create 1 rle with old method : 0.011716365814208984 length of segment : 138 DEBUG bbox = [1938, 942, 2088, 1104] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0007936954498291016 nb_pixel_total : 11734 time to create 1 rle with old method : 0.012771368026733398 length of segment : 175 DEBUG bbox = [1260, 3228, 1398, 3318] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0005602836608886719 nb_pixel_total : 8963 time to create 1 rle with old method : 0.009521961212158203 length of segment : 122 DEBUG bbox = [534, 612, 768, 804] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002740621566772461 nb_pixel_total : 27609 time to create 1 rle with old method : 0.02909994125366211 length of segment : 229 DEBUG bbox = [192, 1398, 372, 1608] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0012965202331542969 nb_pixel_total : 8794 time to create 1 rle with old method : 0.00963592529296875 length of segment : 134 DEBUG bbox = [420, 1758, 654, 1896] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004794597625732422 nb_pixel_total : 15729 time to create 1 rle with old method : 0.019675493240356445 length of segment : 199 DEBUG bbox = [1686, 2184, 1788, 2250] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00010919570922851562 nb_pixel_total : 3164 time to create 1 rle with old method : 0.003438234329223633 length of segment : 95 DEBUG bbox = [1122, 1176, 1308, 1476] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.012224197387695312 nb_pixel_total : 32760 time to create 1 rle with old method : 0.04020571708679199 length of segment : 172 DEBUG bbox = [24, 1680, 234, 1968] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0021164417266845703 nb_pixel_total : 38109 time to create 1 rle with old method : 0.04015707969665527 length of segment : 315 DEBUG bbox = [1008, 3426, 1320, 3678] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0027365684509277344 nb_pixel_total : 43771 time to create 1 rle with old method : 0.04764986038208008 length of segment : 311 DEBUG bbox = [366, 1920, 564, 2160] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0031080245971679688 nb_pixel_total : 28031 time to create 1 rle with old method : 0.029528141021728516 length of segment : 185 DEBUG bbox = [1434, 2634, 1752, 2856] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002359628677368164 nb_pixel_total : 37803 time to create 1 rle with old method : 0.04056048393249512 length of segment : 308 DEBUG bbox = [882, 2418, 1194, 2904] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004860401153564453 nb_pixel_total : 91818 time to create 1 rle with old method : 0.10005903244018555 length of segment : 301 DEBUG bbox = [1524, 1992, 1656, 2214] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0010318756103515625 nb_pixel_total : 18393 time to create 1 rle with old method : 0.02027583122253418 length of segment : 169 DEBUG bbox = [1554, 2496, 1818, 2754] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0016963481903076172 nb_pixel_total : 44369 time to create 1 rle with old method : 0.04754304885864258 length of segment : 289 DEBUG bbox = [1134, 2154, 1332, 2382] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001504659652709961 nb_pixel_total : 23931 time to create 1 rle with old method : 0.025747060775756836 length of segment : 185 DEBUG bbox = [1524, 2220, 1950, 2538] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.003754854202270508 nb_pixel_total : 82419 time to create 1 rle with old method : 0.08736610412597656 length of segment : 404 DEBUG bbox = [642, 1896, 1014, 2496] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.007077217102050781 nb_pixel_total : 108282 time to create 1 rle with old method : 0.1133718490600586 length of segment : 343 DEBUG bbox = [1404, 0, 2160, 888] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.021728992462158203 nb_pixel_total : 454564 time to create 1 rle with new method : 0.8948757648468018 length of segment : 747 DEBUG bbox = [1134, 3300, 1452, 3420] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001325368881225586 nb_pixel_total : 21019 time to create 1 rle with old method : 0.02318716049194336 length of segment : 266 DEBUG bbox = [444, 420, 738, 732] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.003170013427734375 nb_pixel_total : 42848 time to create 1 rle with old method : 0.04534578323364258 length of segment : 286 DEBUG bbox = [798, 3204, 948, 3390] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0011055469512939453 nb_pixel_total : 19755 time to create 1 rle with old method : 0.024576902389526367 length of segment : 149 DEBUG bbox = [1428, 2196, 1572, 2370] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0007190704345703125 nb_pixel_total : 10373 time to create 1 rle with old method : 0.011317253112792969 length of segment : 113 DEBUG bbox = [42, 12, 588, 450] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00907444953918457 nb_pixel_total : 115404 time to create 1 rle with old method : 0.12158966064453125 length of segment : 614 DEBUG bbox = [1680, 3228, 1794, 3384] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0006940364837646484 nb_pixel_total : 11388 time to create 1 rle with old method : 0.012304544448852539 length of segment : 96 DEBUG bbox = [600, 966, 852, 1194] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001943826675415039 nb_pixel_total : 19785 time to create 1 rle with old method : 0.021190404891967773 length of segment : 231 DEBUG bbox = [414, 1314, 558, 1572] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001430511474609375 nb_pixel_total : 19938 time to create 1 rle with old method : 0.02166891098022461 length of segment : 131 DEBUG bbox = [342, 1110, 726, 1386] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0032575130462646484 nb_pixel_total : 53832 time to create 1 rle with old method : 0.05606961250305176 length of segment : 340 DEBUG bbox = [864, 588, 1074, 996] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0029304027557373047 nb_pixel_total : 40807 time to create 1 rle with old method : 0.043821096420288086 length of segment : 256 DEBUG bbox = [1638, 1908, 1974, 2232] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0032312870025634766 nb_pixel_total : 48442 time to create 1 rle with old method : 0.05329108238220215 length of segment : 455 DEBUG bbox = [1578, 1272, 2094, 1860] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.008907318115234375 nb_pixel_total : 123987 time to create 1 rle with old method : 0.1301419734954834 length of segment : 657 DEBUG bbox = [1416, 630, 1542, 894] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.000476837158203125 nb_pixel_total : 11204 time to create 1 rle with old method : 0.012491941452026367 length of segment : 86 DEBUG bbox = [702, 504, 882, 804] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001636505126953125 nb_pixel_total : 30351 time to create 1 rle with old method : 0.03184151649475098 length of segment : 178 DEBUG bbox = [444, 18, 882, 372] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.003968000411987305 nb_pixel_total : 72997 time to create 1 rle with old method : 0.08363103866577148 length of segment : 479 DEBUG bbox = [444, 3012, 630, 3228] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001617431640625 nb_pixel_total : 23127 time to create 1 rle with old method : 0.024317502975463867 length of segment : 173 DEBUG bbox = [18, 1554, 174, 1740] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0010249614715576172 nb_pixel_total : 15204 time to create 1 rle with old method : 0.0164031982421875 length of segment : 146 DEBUG bbox = [108, 2274, 396, 2634] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0035371780395507812 nb_pixel_total : 41057 time to create 1 rle with old method : 0.04294586181640625 length of segment : 271 DEBUG bbox = [1776, 2718, 1932, 2910] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0009696483612060547 nb_pixel_total : 16894 time to create 1 rle with old method : 0.01796245574951172 length of segment : 128 DEBUG bbox = [1530, 3084, 1662, 3156] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00043272972106933594 nb_pixel_total : 5994 time to create 1 rle with old method : 0.006635427474975586 length of segment : 105 DEBUG bbox = [102, 288, 354, 678] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002251863479614258 nb_pixel_total : 18139 time to create 1 rle with old method : 0.020043134689331055 length of segment : 218 DEBUG bbox = [1176, 2352, 1446, 2772] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.003340482711791992 nb_pixel_total : 74409 time to create 1 rle with old method : 0.077850341796875 length of segment : 259 DEBUG bbox = [426, 1986, 720, 2292] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0019588470458984375 nb_pixel_total : 42165 time to create 1 rle with old method : 0.04837179183959961 length of segment : 366 DEBUG bbox = [552, 756, 798, 954] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0013856887817382812 nb_pixel_total : 33380 time to create 1 rle with old method : 0.03516077995300293 length of segment : 230 DEBUG bbox = [168, 1134, 354, 1338] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0015614032745361328 nb_pixel_total : 20096 time to create 1 rle with old method : 0.023244619369506836 length of segment : 190 DEBUG bbox = [1470, 852, 1842, 1308] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004735708236694336 nb_pixel_total : 41560 time to create 1 rle with old method : 0.0461122989654541 length of segment : 350 DEBUG bbox = [1578, 624, 2040, 852] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0013031959533691406 nb_pixel_total : 68735 time to create 1 rle with old method : 0.07091093063354492 length of segment : 430 DEBUG bbox = [816, 2472, 936, 2604] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0003764629364013672 nb_pixel_total : 9986 time to create 1 rle with old method : 0.011640071868896484 length of segment : 117 DEBUG bbox = [1074, 60, 1446, 294] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004549264907836914 nb_pixel_total : 49303 time to create 1 rle with old method : 0.09117770195007324 length of segment : 351 DEBUG bbox = [702, 1170, 906, 1416] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0015461444854736328 nb_pixel_total : 23133 time to create 1 rle with old method : 0.02828240394592285 length of segment : 187 DEBUG bbox = [1794, 894, 2148, 1452] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004552602767944336 nb_pixel_total : 72897 time to create 1 rle with old method : 0.08325076103210449 length of segment : 300 DEBUG bbox = [444, 1836, 684, 2022] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0013990402221679688 nb_pixel_total : 23764 time to create 1 rle with old method : 0.02724313735961914 length of segment : 238 DEBUG bbox = [48, 576, 312, 912] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00312042236328125 nb_pixel_total : 41879 time to create 1 rle with old method : 0.04802060127258301 length of segment : 280 DEBUG bbox = [1782, 1026, 1920, 1212] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0003554821014404297 nb_pixel_total : 14039 time to create 1 rle with old method : 0.016215085983276367 length of segment : 125 DEBUG bbox = [570, 3024, 888, 3300] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0026831626892089844 nb_pixel_total : 44004 time to create 1 rle with old method : 0.05028486251831055 length of segment : 316 DEBUG bbox = [1440, 1296, 1662, 1650] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0019867420196533203 nb_pixel_total : 35697 time to create 1 rle with old method : 0.04447007179260254 length of segment : 244 DEBUG bbox = [2070, 732, 2154, 984] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0004322528839111328 nb_pixel_total : 16363 time to create 1 rle with old method : 0.025146961212158203 length of segment : 85 DEBUG bbox = [6, 258, 168, 522] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0009267330169677734 nb_pixel_total : 29053 time to create 1 rle with old method : 0.03408193588256836 length of segment : 141 DEBUG bbox = [498, 1536, 630, 1650] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0005810260772705078 nb_pixel_total : 9337 time to create 1 rle with old method : 0.011277198791503906 length of segment : 125 DEBUG bbox = [216, 2502, 492, 2802] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002648591995239258 nb_pixel_total : 35464 time to create 1 rle with old method : 0.04720497131347656 length of segment : 317 DEBUG bbox = [1626, 2004, 1878, 2244] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0026700496673583984 nb_pixel_total : 38091 time to create 1 rle with old method : 0.0432589054107666 length of segment : 250 DEBUG bbox = [888, 3714, 1080, 3840] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0011811256408691406 nb_pixel_total : 15350 time to create 1 rle with old method : 0.017355918884277344 length of segment : 169 DEBUG bbox = [240, 2094, 468, 2310] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001968860626220703 nb_pixel_total : 25951 time to create 1 rle with old method : 0.029903888702392578 length of segment : 195 DEBUG bbox = [1620, 1584, 1878, 1758] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0025632381439208984 nb_pixel_total : 23282 time to create 1 rle with old method : 0.02652144432067871 length of segment : 232 DEBUG bbox = [1014, 522, 1488, 1068] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.010045766830444336 nb_pixel_total : 150946 time to create 1 rle with new method : 0.010731935501098633 length of segment : 487 DEBUG bbox = [798, 18, 1782, 336] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.01269984245300293 nb_pixel_total : 197463 time to create 1 rle with new method : 0.015126705169677734 length of segment : 927 DEBUG bbox = [1824, 1284, 2070, 1476] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0022230148315429688 nb_pixel_total : 21152 time to create 1 rle with old method : 0.024356842041015625 length of segment : 242 DEBUG bbox = [1644, 2700, 1836, 2910] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0018215179443359375 nb_pixel_total : 23407 time to create 1 rle with old method : 0.02705979347229004 length of segment : 168 DEBUG bbox = [438, 2676, 594, 2778] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0007519721984863281 nb_pixel_total : 5600 time to create 1 rle with old method : 0.00644683837890625 length of segment : 114 DEBUG bbox = [174, 2436, 492, 2814] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0042572021484375 nb_pixel_total : 57726 time to create 1 rle with old method : 0.06374311447143555 length of segment : 378 DEBUG bbox = [1680, 3516, 2010, 3816] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.003980398178100586 nb_pixel_total : 61769 time to create 1 rle with old method : 0.0659029483795166 length of segment : 322 DEBUG bbox = [366, 984, 588, 1314] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0025873184204101562 nb_pixel_total : 33849 time to create 1 rle with old method : 0.037134647369384766 length of segment : 189 DEBUG bbox = [798, 2802, 1350, 3330] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.010969400405883789 nb_pixel_total : 150685 time to create 1 rle with new method : 0.013296842575073242 length of segment : 530 DEBUG bbox = [1812, 3474, 1938, 3558] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0003292560577392578 nb_pixel_total : 6328 time to create 1 rle with old method : 0.0071103572845458984 length of segment : 113 DEBUG bbox = [648, 336, 882, 894] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004679203033447266 nb_pixel_total : 50340 time to create 1 rle with old method : 0.05573868751525879 length of segment : 191 DEBUG bbox = [1416, 2160, 1608, 2484] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002561807632446289 nb_pixel_total : 32272 time to create 1 rle with old method : 0.03613758087158203 length of segment : 181 DEBUG bbox = [180, 1422, 282, 1590] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0007483959197998047 nb_pixel_total : 8395 time to create 1 rle with old method : 0.009598016738891602 length of segment : 93 DEBUG bbox = [516, 300, 738, 588] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001871347427368164 nb_pixel_total : 40375 time to create 1 rle with old method : 0.04447150230407715 length of segment : 225 DEBUG bbox = [930, 312, 1122, 594] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0016090869903564453 nb_pixel_total : 22461 time to create 1 rle with old method : 0.027616024017333984 length of segment : 158 DEBUG bbox = [408, 2142, 672, 2472] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.003322601318359375 nb_pixel_total : 29707 time to create 1 rle with old method : 0.034041404724121094 length of segment : 206 DEBUG bbox = [1674, 3456, 1782, 3516] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0003228187561035156 nb_pixel_total : 3721 time to create 1 rle with old method : 0.004286289215087891 length of segment : 101 DEBUG bbox = [342, 1638, 492, 1758] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0007636547088623047 nb_pixel_total : 10727 time to create 1 rle with old method : 0.012276887893676758 length of segment : 140 DEBUG bbox = [1434, 2292, 1752, 2778] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00451207160949707 nb_pixel_total : 44306 time to create 1 rle with old method : 0.04904770851135254 length of segment : 231 DEBUG bbox = [1674, 1794, 1914, 2034] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0019617080688476562 nb_pixel_total : 40543 time to create 1 rle with old method : 0.0450901985168457 length of segment : 254 DEBUG bbox = [336, 2502, 624, 2778] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0015087127685546875 nb_pixel_total : 28771 time to create 1 rle with old method : 0.03207039833068848 length of segment : 205 DEBUG bbox = [522, 2664, 666, 2784] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00036334991455078125 nb_pixel_total : 7580 time to create 1 rle with old method : 0.008425474166870117 length of segment : 129 DEBUG bbox = [132, 1950, 342, 2118] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0013284683227539062 nb_pixel_total : 16323 time to create 1 rle with old method : 0.018151044845581055 length of segment : 207 DEBUG bbox = [1866, 1710, 1986, 1848] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0006151199340820312 nb_pixel_total : 9821 time to create 1 rle with old method : 0.011362791061401367 length of segment : 112 DEBUG bbox = [1446, 3174, 1650, 3372] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0015759468078613281 nb_pixel_total : 12528 time to create 1 rle with old method : 0.014223575592041016 length of segment : 181 DEBUG bbox = [564, 906, 702, 1152] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0011990070343017578 nb_pixel_total : 21896 time to create 1 rle with old method : 0.02446746826171875 length of segment : 132 DEBUG bbox = [450, 1584, 726, 1866] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002823352813720703 nb_pixel_total : 34941 time to create 1 rle with old method : 0.038691043853759766 length of segment : 297 DEBUG bbox = [1344, 2034, 1686, 2364] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0024976730346679688 nb_pixel_total : 33172 time to create 1 rle with old method : 0.03754591941833496 length of segment : 401 DEBUG bbox = [486, 1740, 720, 1968] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0012657642364501953 nb_pixel_total : 28557 time to create 1 rle with old method : 0.03191995620727539 length of segment : 218 DEBUG bbox = [1218, 2274, 1392, 2490] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0013608932495117188 nb_pixel_total : 15966 time to create 1 rle with old method : 0.018162965774536133 length of segment : 163 DEBUG bbox = [1692, 930, 1884, 1212] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0021479129791259766 nb_pixel_total : 20682 time to create 1 rle with old method : 0.024186372756958008 length of segment : 204 DEBUG bbox = [1620, 2874, 1920, 3234] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0036809444427490234 nb_pixel_total : 36478 time to create 1 rle with old method : 0.04191875457763672 length of segment : 287 DEBUG bbox = [504, 2520, 678, 2694] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0006341934204101562 nb_pixel_total : 14605 time to create 1 rle with old method : 0.01696324348449707 length of segment : 184 DEBUG bbox = [102, 168, 246, 330] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0010786056518554688 nb_pixel_total : 16401 time to create 1 rle with old method : 0.01920294761657715 length of segment : 135 DEBUG bbox = [12, 1806, 162, 1998] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0012171268463134766 nb_pixel_total : 21775 time to create 1 rle with old method : 0.024972200393676758 length of segment : 145 DEBUG bbox = [1722, 600, 1884, 822] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0015683174133300781 nb_pixel_total : 28970 time to create 1 rle with old method : 0.033182621002197266 length of segment : 155 DEBUG bbox = [450, 1356, 648, 1608] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0016868114471435547 nb_pixel_total : 18113 time to create 1 rle with old method : 0.02141571044921875 length of segment : 168 DEBUG bbox = [624, 1992, 1296, 2616] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.015111923217773438 nb_pixel_total : 122590 time to create 1 rle with old method : 0.13553953170776367 length of segment : 470 DEBUG bbox = [828, 168, 1038, 420] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0008153915405273438 nb_pixel_total : 30448 time to create 1 rle with old method : 0.03381991386413574 length of segment : 188 DEBUG bbox = [576, 3324, 816, 3786] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.003877401351928711 nb_pixel_total : 28168 time to create 1 rle with old method : 0.03136277198791504 length of segment : 201 DEBUG bbox = [1674, 3492, 1770, 3576] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.000152587890625 nb_pixel_total : 2648 time to create 1 rle with old method : 0.0030078887939453125 length of segment : 64 DEBUG bbox = [1680, 3552, 1746, 3654] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 9.799003601074219e-05 nb_pixel_total : 3208 time to create 1 rle with old method : 0.003834962844848633 length of segment : 51 DEBUG bbox = [300, 1494, 426, 1620] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0006642341613769531 nb_pixel_total : 5260 time to create 1 rle with old method : 0.006124258041381836 length of segment : 99 DEBUG bbox = [294, 576, 456, 780] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0013287067413330078 nb_pixel_total : 19374 time to create 1 rle with old method : 0.02146601676940918 length of segment : 142 DEBUG bbox = [18, 1638, 156, 1812] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0008642673492431641 nb_pixel_total : 14561 time to create 1 rle with old method : 0.01638197898864746 length of segment : 129 DEBUG bbox = [792, 3684, 984, 3804] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0006558895111083984 nb_pixel_total : 8167 time to create 1 rle with old method : 0.009239673614501953 length of segment : 295 DEBUG bbox = [1368, 1740, 1530, 2004] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001605987548828125 nb_pixel_total : 20052 time to create 1 rle with old method : 0.02319192886352539 length of segment : 135 DEBUG bbox = [1056, 1038, 1332, 1440] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.003805398941040039 nb_pixel_total : 58673 time to create 1 rle with old method : 0.06601762771606445 length of segment : 248 DEBUG bbox = [768, 2022, 1158, 2550] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0022118091583251953 nb_pixel_total : 92951 time to create 1 rle with old method : 0.09889888763427734 length of segment : 360 DEBUG bbox = [1740, 3492, 1812, 3558] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00011873245239257812 nb_pixel_total : 1930 time to create 1 rle with old method : 0.0023221969604492188 length of segment : 54 DEBUG bbox = [282, 1374, 450, 1530] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0008249282836914062 nb_pixel_total : 13039 time to create 1 rle with old method : 0.014550447463989258 length of segment : 144 DEBUG bbox = [1872, 2442, 1992, 2586] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0006835460662841797 nb_pixel_total : 10104 time to create 1 rle with old method : 0.011322975158691406 length of segment : 110 DEBUG bbox = [144, 1896, 414, 2232] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002975940704345703 nb_pixel_total : 41178 time to create 1 rle with old method : 0.04518580436706543 length of segment : 324 DEBUG bbox = [1092, 3492, 1518, 3840] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.005759239196777344 nb_pixel_total : 75216 time to create 1 rle with old method : 0.08084797859191895 length of segment : 377 DEBUG bbox = [402, 258, 684, 1002] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.006417751312255859 nb_pixel_total : 104351 time to create 1 rle with old method : 0.11659646034240723 length of segment : 311 DEBUG bbox = [438, 2676, 672, 2904] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0018153190612792969 nb_pixel_total : 29885 time to create 1 rle with old method : 0.0328977108001709 length of segment : 210 DEBUG bbox = [1176, 1050, 1338, 1224] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00109100341796875 nb_pixel_total : 15204 time to create 1 rle with old method : 0.016940832138061523 length of segment : 157 DEBUG bbox = [1086, 3000, 1368, 3264] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0025959014892578125 nb_pixel_total : 36366 time to create 1 rle with old method : 0.040387868881225586 length of segment : 250 DEBUG bbox = [378, 18, 678, 276] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0023097991943359375 nb_pixel_total : 47706 time to create 1 rle with old method : 0.054712533950805664 length of segment : 277 DEBUG bbox = [162, 192, 480, 618] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0035996437072753906 nb_pixel_total : 76449 time to create 1 rle with old method : 0.08250784873962402 length of segment : 361 DEBUG bbox = [216, 0, 366, 210] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0009667873382568359 nb_pixel_total : 24081 time to create 1 rle with old method : 0.025861501693725586 length of segment : 147 DEBUG bbox = [498, 2424, 1008, 2802] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.005589008331298828 nb_pixel_total : 72580 time to create 1 rle with old method : 0.0791773796081543 length of segment : 440 DEBUG bbox = [1218, 858, 1368, 1068] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0009775161743164062 nb_pixel_total : 16243 time to create 1 rle with old method : 0.018178462982177734 length of segment : 124 DEBUG bbox = [66, 3126, 240, 3270] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.000982046127319336 nb_pixel_total : 12050 time to create 1 rle with old method : 0.013047456741333008 length of segment : 151 DEBUG bbox = [1716, 1308, 2112, 1794] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.005876064300537109 nb_pixel_total : 85092 time to create 1 rle with old method : 0.09242081642150879 length of segment : 393 DEBUG bbox = [786, 30, 1152, 462] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.005288839340209961 nb_pixel_total : 74171 time to create 1 rle with old method : 0.08052182197570801 length of segment : 411 DEBUG bbox = [810, 3144, 1164, 3498] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0037386417388916016 nb_pixel_total : 74627 time to create 1 rle with old method : 0.0804438591003418 length of segment : 363 DEBUG bbox = [132, 2502, 546, 3144] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00711512565612793 nb_pixel_total : 92405 time to create 1 rle with old method : 0.0995333194732666 length of segment : 338 DEBUG bbox = [498, 3102, 696, 3450] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002305269241333008 nb_pixel_total : 40827 time to create 1 rle with old method : 0.044571876525878906 length of segment : 192 DEBUG bbox = [330, 2286, 480, 2430] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0008044242858886719 nb_pixel_total : 13882 time to create 1 rle with old method : 0.0148468017578125 length of segment : 135 DEBUG bbox = [1344, 2742, 1488, 2886] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0007567405700683594 nb_pixel_total : 10279 time to create 1 rle with old method : 0.01119232177734375 length of segment : 131 DEBUG bbox = [1650, 1158, 1788, 1314] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0007257461547851562 nb_pixel_total : 10665 time to create 1 rle with old method : 0.011851072311401367 length of segment : 118 DEBUG bbox = [210, 864, 474, 1122] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0020666122436523438 nb_pixel_total : 40862 time to create 1 rle with old method : 0.04449820518493652 length of segment : 260 DEBUG bbox = [1674, 420, 1914, 762] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002709627151489258 nb_pixel_total : 43924 time to create 1 rle with old method : 0.04928445816040039 length of segment : 280 DEBUG bbox = [1236, 342, 1542, 846] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00489497184753418 nb_pixel_total : 79942 time to create 1 rle with old method : 0.08560419082641602 length of segment : 303 DEBUG bbox = [762, 1224, 1164, 1614] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.005057334899902344 nb_pixel_total : 74821 time to create 1 rle with old method : 0.08103799819946289 length of segment : 358 DEBUG bbox = [1770, 30, 2154, 576] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.006319999694824219 nb_pixel_total : 137936 time to create 1 rle with old method : 0.15244269371032715 length of segment : 373 DEBUG bbox = [1212, 1194, 1350, 1290] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0004010200500488281 nb_pixel_total : 5476 time to create 1 rle with old method : 0.005969524383544922 length of segment : 138 DEBUG bbox = [222, 648, 528, 750] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0008895397186279297 nb_pixel_total : 22239 time to create 1 rle with old method : 0.023889541625976562 length of segment : 285 DEBUG bbox = [414, 2058, 696, 2262] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001981973648071289 nb_pixel_total : 25848 time to create 1 rle with old method : 0.028796911239624023 length of segment : 282 DEBUG bbox = [666, 1530, 984, 1974] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.003975868225097656 nb_pixel_total : 80951 time to create 1 rle with old method : 0.08800220489501953 length of segment : 285 DEBUG bbox = [1770, 1098, 2052, 1338] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0019445419311523438 nb_pixel_total : 36309 time to create 1 rle with old method : 0.03948855400085449 length of segment : 276 DEBUG bbox = [690, 1926, 918, 2142] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0012371540069580078 nb_pixel_total : 17142 time to create 1 rle with old method : 0.018918275833129883 length of segment : 191 DEBUG bbox = [1278, 2886, 1410, 3012] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0005097389221191406 nb_pixel_total : 8539 time to create 1 rle with old method : 0.009572744369506836 length of segment : 110 DEBUG bbox = [582, 2220, 942, 2448] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0022041797637939453 nb_pixel_total : 44720 time to create 1 rle with old method : 0.0489506721496582 length of segment : 336 DEBUG bbox = [1776, 2028, 1932, 2166] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0008628368377685547 nb_pixel_total : 6774 time to create 1 rle with old method : 0.007825851440429688 length of segment : 189 DEBUG bbox = [270, 3300, 522, 3630] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00267791748046875 nb_pixel_total : 45913 time to create 1 rle with old method : 0.05108141899108887 length of segment : 257 DEBUG bbox = [1830, 1980, 1962, 2064] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0003364086151123047 nb_pixel_total : 5216 time to create 1 rle with old method : 0.005821704864501953 length of segment : 104 DEBUG bbox = [1026, 2748, 1290, 3078] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0024917125701904297 nb_pixel_total : 50039 time to create 1 rle with old method : 0.05401921272277832 length of segment : 258 DEBUG bbox = [438, 1116, 576, 1272] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0007622241973876953 nb_pixel_total : 14226 time to create 1 rle with old method : 0.01567840576171875 length of segment : 126 DEBUG bbox = [906, 1818, 1206, 2130] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002781391143798828 nb_pixel_total : 43700 time to create 1 rle with old method : 0.047240495681762695 length of segment : 304 DEBUG bbox = [420, 3540, 564, 3690] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0005896091461181641 nb_pixel_total : 12478 time to create 1 rle with old method : 0.014137506484985352 length of segment : 129 DEBUG bbox = [1662, 432, 1788, 654] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0004107952117919922 nb_pixel_total : 13192 time to create 1 rle with old method : 0.01522517204284668 length of segment : 111 DEBUG bbox = [846, 1014, 1164, 1212] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0019333362579345703 nb_pixel_total : 19343 time to create 1 rle with old method : 0.021233081817626953 length of segment : 391 DEBUG bbox = [1848, 2148, 2148, 2466] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002811908721923828 nb_pixel_total : 35570 time to create 1 rle with old method : 0.03786444664001465 length of segment : 341 DEBUG bbox = [696, 396, 900, 768] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002318143844604492 nb_pixel_total : 49090 time to create 1 rle with old method : 0.05486011505126953 length of segment : 198 DEBUG bbox = [774, 2022, 1020, 2226] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0008757114410400391 nb_pixel_total : 23260 time to create 1 rle with old method : 0.025278806686401367 length of segment : 254 DEBUG bbox = [984, 2160, 1098, 2304] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0005183219909667969 nb_pixel_total : 8414 time to create 1 rle with old method : 0.009362220764160156 length of segment : 109 DEBUG bbox = [390, 1284, 582, 1446] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0010783672332763672 nb_pixel_total : 15048 time to create 1 rle with old method : 0.01667308807373047 length of segment : 207 DEBUG bbox = [414, 2922, 582, 3108] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00049591064453125 nb_pixel_total : 20815 time to create 1 rle with old method : 0.02267765998840332 length of segment : 167 DEBUG bbox = [240, 3084, 360, 3210] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0003483295440673828 nb_pixel_total : 8637 time to create 1 rle with old method : 0.010043144226074219 length of segment : 103 DEBUG bbox = [72, 756, 300, 942] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001310586929321289 nb_pixel_total : 28520 time to create 1 rle with old method : 0.03104996681213379 length of segment : 232 DEBUG bbox = [1428, 2574, 1848, 3042] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.007148265838623047 nb_pixel_total : 96827 time to create 1 rle with old method : 0.10025238990783691 length of segment : 399 DEBUG bbox = [1632, 90, 1854, 372] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0025391578674316406 nb_pixel_total : 34717 time to create 1 rle with old method : 0.03817033767700195 length of segment : 207 DEBUG bbox = [1326, 3564, 1446, 3660] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0005273818969726562 nb_pixel_total : 6409 time to create 1 rle with old method : 0.00710296630859375 length of segment : 107 DEBUG bbox = [1596, 594, 1824, 762] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0015959739685058594 nb_pixel_total : 19503 time to create 1 rle with old method : 0.021640539169311523 length of segment : 198 DEBUG bbox = [1626, 3654, 1794, 3840] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0012583732604980469 nb_pixel_total : 22520 time to create 1 rle with old method : 0.0243527889251709 length of segment : 162 DEBUG bbox = [774, 288, 1182, 744] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00644993782043457 nb_pixel_total : 83286 time to create 1 rle with old method : 0.09001636505126953 length of segment : 352 DEBUG bbox = [1506, 2970, 1866, 3270] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0030579566955566406 nb_pixel_total : 32215 time to create 1 rle with old method : 0.035224199295043945 length of segment : 388 DEBUG bbox = [1032, 2970, 1254, 3204] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0020248889923095703 nb_pixel_total : 34157 time to create 1 rle with old method : 0.03883981704711914 length of segment : 408 DEBUG bbox = [846, 2712, 1140, 3054] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0033347606658935547 nb_pixel_total : 34691 time to create 1 rle with old method : 0.03830552101135254 length of segment : 270 DEBUG bbox = [1224, 852, 1530, 1188] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0036787986755371094 nb_pixel_total : 45153 time to create 1 rle with old method : 0.04857587814331055 length of segment : 299 DEBUG bbox = [1254, 2154, 1638, 2454] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004282951354980469 nb_pixel_total : 55881 time to create 1 rle with old method : 0.05805397033691406 length of segment : 359 DEBUG bbox = [564, 1812, 810, 2286] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004224300384521484 nb_pixel_total : 74645 time to create 1 rle with old method : 0.08063483238220215 length of segment : 242 DEBUG bbox = [1590, 426, 1842, 630] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0017611980438232422 nb_pixel_total : 26976 time to create 1 rle with old method : 0.02823185920715332 length of segment : 237 DEBUG bbox = [174, 2358, 366, 2634] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0020105838775634766 nb_pixel_total : 31832 time to create 1 rle with old method : 0.033554792404174805 length of segment : 179 DEBUG bbox = [1590, 1458, 1746, 1578] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0008335113525390625 nb_pixel_total : 12187 time to create 1 rle with old method : 0.013164997100830078 length of segment : 166 DEBUG bbox = [1512, 3162, 1752, 3450] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0017206668853759766 nb_pixel_total : 31442 time to create 1 rle with old method : 0.0338292121887207 length of segment : 251 DEBUG bbox = [1566, 1980, 1692, 2088] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0006070137023925781 nb_pixel_total : 8120 time to create 1 rle with old method : 0.008956670761108398 length of segment : 115 DEBUG bbox = [972, 2088, 1266, 2346] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0029757022857666016 nb_pixel_total : 42260 time to create 1 rle with old method : 0.045783281326293945 length of segment : 260 DEBUG bbox = [348, 2076, 612, 2574] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.006986856460571289 nb_pixel_total : 59272 time to create 1 rle with old method : 0.06322574615478516 length of segment : 253 DEBUG bbox = [1182, 2784, 1380, 2880] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0009081363677978516 nb_pixel_total : 10576 time to create 1 rle with old method : 0.01129913330078125 length of segment : 188 DEBUG bbox = [210, 1878, 390, 2094] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0015137195587158203 nb_pixel_total : 15612 time to create 1 rle with old method : 0.01681828498840332 length of segment : 168 DEBUG bbox = [474, 3654, 810, 3816] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002188444137573242 nb_pixel_total : 28403 time to create 1 rle with old method : 0.029764652252197266 length of segment : 320 DEBUG bbox = [96, 246, 372, 564] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0032143592834472656 nb_pixel_total : 42094 time to create 1 rle with old method : 0.0441584587097168 length of segment : 277 DEBUG bbox = [522, 12, 1392, 804] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.01841115951538086 nb_pixel_total : 200879 time to create 1 rle with new method : 0.043931007385253906 length of segment : 1081 DEBUG bbox = [474, 1842, 966, 2598] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.008652210235595703 nb_pixel_total : 141643 time to create 1 rle with old method : 0.1513075828552246 length of segment : 519 DEBUG bbox = [108, 2046, 318, 2322] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0020170211791992188 nb_pixel_total : 26461 time to create 1 rle with old method : 0.029291391372680664 length of segment : 225 DEBUG bbox = [1524, 3336, 1806, 3582] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0019524097442626953 nb_pixel_total : 23564 time to create 1 rle with old method : 0.025748014450073242 length of segment : 321 DEBUG bbox = [1008, 2526, 1302, 2904] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002934694290161133 nb_pixel_total : 46966 time to create 1 rle with old method : 0.04947638511657715 length of segment : 234 DEBUG bbox = [750, 1548, 900, 1716] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0010039806365966797 nb_pixel_total : 11096 time to create 1 rle with old method : 0.01233530044555664 length of segment : 111 DEBUG bbox = [192, 774, 342, 918] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0009014606475830078 nb_pixel_total : 10646 time to create 1 rle with old method : 0.011809110641479492 length of segment : 128 DEBUG bbox = [1860, 1464, 2016, 1602] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0009441375732421875 nb_pixel_total : 14536 time to create 1 rle with old method : 0.015987157821655273 length of segment : 146 DEBUG bbox = [438, 3486, 612, 3732] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0013501644134521484 nb_pixel_total : 30220 time to create 1 rle with old method : 0.03304910659790039 length of segment : 197 DEBUG bbox = [1824, 966, 2022, 1146] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001489400863647461 nb_pixel_total : 23974 time to create 1 rle with old method : 0.026192903518676758 length of segment : 184 DEBUG bbox = [1308, 276, 1566, 642] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0026938915252685547 nb_pixel_total : 53872 time to create 1 rle with old method : 0.057082176208496094 length of segment : 295 DEBUG bbox = [966, 3330, 1320, 3648] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004128456115722656 nb_pixel_total : 38372 time to create 1 rle with old method : 0.04285931587219238 length of segment : 426 DEBUG bbox = [66, 570, 318, 894] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0023686885833740234 nb_pixel_total : 37333 time to create 1 rle with old method : 0.039520263671875 length of segment : 386 DEBUG bbox = [1596, 2082, 1920, 2238] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001827239990234375 nb_pixel_total : 22554 time to create 1 rle with old method : 0.024818897247314453 length of segment : 349 DEBUG bbox = [1134, 1470, 1458, 1662] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.003571748733520508 nb_pixel_total : 36303 time to create 1 rle with old method : 0.03927731513977051 length of segment : 293 DEBUG bbox = [900, 42, 1122, 360] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0008554458618164062 nb_pixel_total : 42234 time to create 1 rle with old method : 0.04603862762451172 length of segment : 237 DEBUG bbox = [846, 1494, 1110, 1728] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002153635025024414 nb_pixel_total : 36598 time to create 1 rle with old method : 0.038883209228515625 length of segment : 259 DEBUG bbox = [1098, 2946, 1290, 3060] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0005197525024414062 nb_pixel_total : 16870 time to create 1 rle with old method : 0.018120527267456055 length of segment : 188 DEBUG bbox = [114, 900, 318, 1092] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0013136863708496094 nb_pixel_total : 20085 time to create 1 rle with old method : 0.02228832244873047 length of segment : 189 DEBUG bbox = [1416, 3666, 1632, 3828] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0014374256134033203 nb_pixel_total : 19458 time to create 1 rle with old method : 0.021606922149658203 length of segment : 200 DEBUG bbox = [540, 30, 984, 456] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.002126455307006836 nb_pixel_total : 92708 time to create 1 rle with old method : 0.09853124618530273 length of segment : 455 DEBUG bbox = [282, 3672, 444, 3828] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0010962486267089844 nb_pixel_total : 16113 time to create 1 rle with old method : 0.017961740493774414 length of segment : 140 DEBUG bbox = [306, 918, 666, 1302] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.005146026611328125 nb_pixel_total : 92962 time to create 1 rle with old method : 0.0994272232055664 length of segment : 360 DEBUG bbox = [330, 486, 528, 732] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001861572265625 nb_pixel_total : 27819 time to create 1 rle with old method : 0.030153989791870117 length of segment : 184 DEBUG bbox = [714, 1668, 912, 1854] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.000946044921875 nb_pixel_total : 21724 time to create 1 rle with old method : 0.023877859115600586 length of segment : 187 DEBUG bbox = [1602, 2136, 1926, 2538] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0034766197204589844 nb_pixel_total : 66650 time to create 1 rle with old method : 0.07370400428771973 length of segment : 327 DEBUG bbox = [666, 738, 912, 984] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.001996755599975586 nb_pixel_total : 30806 time to create 1 rle with old method : 0.03481888771057129 length of segment : 245 DEBUG bbox = [174, 1584, 576, 1998] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004921913146972656 nb_pixel_total : 75104 time to create 1 rle with old method : 0.0821540355682373 length of segment : 391 DEBUG bbox = [204, 2628, 378, 2730] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.000652313232421875 nb_pixel_total : 11583 time to create 1 rle with old method : 0.012712717056274414 length of segment : 170 DEBUG bbox = [738, 2352, 1062, 2658] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0019524097442626953 nb_pixel_total : 36890 time to create 1 rle with old method : 0.039563894271850586 length of segment : 258 DEBUG bbox = [1176, 1044, 1386, 1272] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0012156963348388672 nb_pixel_total : 22121 time to create 1 rle with old method : 0.02363419532775879 length of segment : 197 DEBUG bbox = [1086, 3006, 1566, 3390] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004162788391113281 nb_pixel_total : 28165 time to create 1 rle with old method : 0.03115391731262207 length of segment : 479 DEBUG bbox = [522, 2646, 840, 3012] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.004258632659912109 nb_pixel_total : 57643 time to create 1 rle with old method : 0.06171917915344238 length of segment : 324 DEBUG bbox = [852, 2964, 1110, 3432] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0032958984375 nb_pixel_total : 65429 time to create 1 rle with old method : 0.0731515884399414 length of segment : 224 DEBUG bbox = [54, 570, 198, 864] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0007765293121337891 nb_pixel_total : 22952 time to create 1 rle with old method : 0.026392221450805664 length of segment : 160 DEBUG bbox = [1794, 618, 1974, 756] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0009891986846923828 nb_pixel_total : 14220 time to create 1 rle with old method : 0.016413450241088867 length of segment : 148 DEBUG bbox = [1050, 2916, 1170, 3042] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0002484321594238281 nb_pixel_total : 9379 time to create 1 rle with old method : 0.010706424713134766 length of segment : 115 DEBUG bbox = [12, 2958, 150, 3138] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0011303424835205078 nb_pixel_total : 16884 time to create 1 rle with old method : 0.01900935173034668 length of segment : 133 DEBUG bbox = [1128, 2856, 1560, 3072] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0014967918395996094 nb_pixel_total : 34246 time to create 1 rle with old method : 0.038752079010009766 length of segment : 410 DEBUG bbox = [1332, 1356, 1572, 1614] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0019881725311279297 nb_pixel_total : 30027 time to create 1 rle with old method : 0.033837318420410156 length of segment : 274 DEBUG bbox = [24, 660, 96, 834] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.0003440380096435547 nb_pixel_total : 5519 time to create 1 rle with old method : 0.006711721420288086 length of segment : 72 DEBUG bbox = [324, 792, 444, 936] DEBUG masks shape = (2160, 3840) time for calcul the mask position with numpy : 0.00048804283142089844 nb_pixel_total : 5204 time to create 1 rle with old method : 0.005980014801025391 length of segment : 84 time spent for convertir_results : 39.048421144485474 Inside saveOutput : final : False verbose : 0 eke 12-6-18 : saveMask need to be cleaned for new output ! Number saved : None batch 1 Loaded 399 chid ids of type : 3594 Number RLEs to save : 96838 save missing photos in datou_result : time spend for datou_step_exec : 224.32864499092102 time spend to save output : 6.2947728633880615 total time spend for step 1 : 230.62341785430908 step2:crop_condition Mon Feb 16 14:14:21 2026 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 : 7 ! batch 1 Loaded 399 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 ! map_result returned by crop_photo_return_map_crop : length : 318 About to insert : list_path_to_insert length 318 new photo from crops ! About to upload 318 photos upload in portfolio : 3736932 init cache_photo without model_param we have 318 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1771247719_3472646 INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057724_0.png', 0, 211, 175, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057736_0.png', 0, 189, 323, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057755_0.png', 0, 118, 225, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057753_0.png', 0, 172, 259, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057771_0.png', 0, 239, 125, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057768_0.png', 0, 102, 110, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057718_0.png', 0, 187, 186, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057744_0.png', 0, 247, 401, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057731_0.png', 0, 656, 300, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057727_0.png', 0, 289, 280, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057729_0.png', 0, 275, 233, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057748_0.png', 0, 455, 259, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057726_0.png', 0, 311, 202, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057740_0.png', 0, 181, 140, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057730_0.png', 0, 344, 235, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057722_0.png', 0, 449, 333, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057716_0.png', 0, 192, 280, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057728_0.png', 0, 530, 211, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057733_0.png', 0, 144, 136, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057769_0.png', 0, 797, 499, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057734_0.png', 0, 146, 169, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057721_0.png', 0, 468, 522, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057774_0.png', 0, 125, 103, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057761_0.png', 0, 195, 134, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057757_0.png', 0, 246, 125, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057746_0.png', 0, 130, 187, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057720_0.png', 0, 439, 328, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057772_0.png', 0, 97, 247, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057742_0.png', 0, 148, 104, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057773_0.png', 0, 425, 462, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057747_0.png', 0, 361, 241, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057719_0.png', 0, 163, 130, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057770_0.png', 0, 115, 125, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057766_0.png', 0, 364, 322, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057756_0.png', 0, 118, 279, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057751_0.png', 0, 173, 146, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057749_0.png', 0, 198, 190, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057767_0.png', 0, 194, 181, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057758_0.png', 0, 122, 195, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057737_0.png', 0, 106, 117, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057759_0.png', 0, 245, 214, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057735_0.png', 0, 166, 195, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057723_0.png', 0, 146, 156, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057732_0.png', 0, 143, 189, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057789_0.png', 0, 449, 767, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057799_0.png', 0, 403, 284, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057818_0.png', 0, 462, 465, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057843_0.png', 0, 342, 171, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057837_0.png', 0, 267, 262, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057835_0.png', 0, 197, 151, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057819_0.png', 0, 108, 177, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057821_0.png', 0, 118, 77, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057783_0.png', 0, 121, 193, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057810_0.png', 0, 110, 222, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057823_0.png', 0, 101, 151, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057845_0.png', 0, 171, 162, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057797_0.png', 0, 114, 151, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057793_0.png', 0, 160, 174, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057844_0.png', 0, 315, 362, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057824_0.png', 0, 269, 180, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057805_0.png', 0, 203, 196, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057842_0.png', 0, 225, 206, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057801_0.png', 0, 156, 138, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057829_0.png', 0, 77, 144, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057827_0.png', 0, 133, 215, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057792_0.png', 0, 318, 190, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057788_0.png', 0, 165, 217, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057815_0.png', 0, 190, 297, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057834_0.png', 0, 229, 215, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057808_0.png', 0, 138, 160, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057826_0.png', 0, 121, 84, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057830_0.png', 0, 220, 229, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057825_0.png', 0, 192, 194, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057832_0.png', 0, 272, 359, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057782_0.png', 0, 130, 184, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057839_0.png', 0, 589, 734, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057803_0.png', 0, 160, 155, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057831_0.png', 0, 103, 122, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057777_0.png', 0, 178, 163, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057802_0.png', 0, 165, 148, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057785_0.png', 0, 124, 155, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057791_0.png', 0, 121, 176, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057809_0.png', 0, 180, 264, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057794_0.png', 0, 86, 97, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057838_0.png', 0, 65, 94, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057795_0.png', 0, 179, 203, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057820_0.png', 0, 118, 93, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057800_0.png', 0, 88, 74, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057784_0.png', 0, 105, 141, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057807_0.png', 0, 82, 111, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057786_0.png', 0, 72, 87, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057798_0.png', 0, 226, 163, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057780_0.png', 0, 77, 137, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057806_0.png', 0, 138, 250, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057817_0.png', 0, 74, 74, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057779_0.png', 0, 118, 117, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057828_0.png', 0, 103, 106, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057833_0.png', 0, 125, 81, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057822_0.png', 0, 104, 417, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057858_0.png', 0, 276, 559, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057853_0.png', 0, 115, 291, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057879_0.png', 0, 139, 243, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057882_0.png', 0, 308, 244, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057855_0.png', 0, 204, 239, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057876_0.png', 0, 186, 183, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057888_0.png', 0, 171, 228, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057863_0.png', 0, 422, 350, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057870_0.png', 0, 153, 220, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057866_0.png', 0, 240, 149, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057859_0.png', 0, 382, 220, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057856_0.png', 0, 226, 209, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057886_0.png', 0, 140, 141, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057871_0.png', 0, 467, 485, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057854_0.png', 0, 241, 275, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057874_0.png', 0, 122, 102, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057849_0.png', 0, 165, 109, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057880_0.png', 0, 184, 156, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057850_0.png', 0, 194, 105, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057885_0.png', 0, 99, 134, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057881_0.png', 0, 203, 203, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057889_0.png', 0, 174, 91, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057864_0.png', 0, 166, 88, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057883_0.png', 0, 231, 239, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057862_0.png', 0, 127, 277, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057868_0.png', 0, 212, 212, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057865_0.png', 0, 271, 289, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057890_0.png', 0, 121, 198, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057875_0.png', 0, 314, 240, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057873_0.png', 0, 311, 247, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057848_0.png', 0, 181, 409, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057877_0.png', 0, 81, 105, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057869_0.png', 0, 308, 249, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057891_0.png', 0, 44, 91, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057860_0.png', 0, 152, 159, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057857_0.png', 0, 422, 278, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057884_0.png', 0, 189, 218, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057861_0.png', 0, 141, 190, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057887_0.png', 0, 85, 120, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057847_0.png', 0, 267, 193, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057872_0.png', 0, 145, 128, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057903_0.png', 0, 779, 740, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057908_0.png', 0, 398, 415, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057918_0.png', 0, 340, 343, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057932_0.png', 0, 208, 331, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057941_0.png', 0, 262, 139, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057924_0.png', 0, 330, 217, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057905_0.png', 0, 264, 263, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057917_0.png', 0, 271, 178, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057936_0.png', 0, 305, 218, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057913_0.png', 0, 390, 182, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057930_0.png', 0, 208, 430, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057916_0.png', 0, 206, 86, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057927_0.png', 0, 196, 229, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057929_0.png', 0, 304, 295, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057934_0.png', 0, 464, 273, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057910_0.png', 0, 160, 231, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057937_0.png', 0, 154, 124, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057912_0.png', 0, 250, 328, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057928_0.png', 0, 194, 172, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057915_0.png', 0, 519, 482, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057911_0.png', 0, 234, 122, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057942_0.png', 0, 98, 123, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057935_0.png', 0, 164, 238, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057902_0.png', 0, 567, 269, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057914_0.png', 0, 264, 291, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057926_0.png', 0, 274, 280, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057898_0.png', 0, 220, 123, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057900_0.png', 0, 207, 181, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057907_0.png', 0, 152, 99, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057901_0.png', 0, 312, 395, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057921_0.png', 0, 346, 235, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057931_0.png', 0, 120, 115, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057899_0.png', 0, 242, 262, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057943_0.png', 0, 239, 262, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057896_0.png', 0, 211, 308, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057922_0.png', 0, 185, 128, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057923_0.png', 0, 69, 105, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057909_0.png', 0, 154, 95, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057904_0.png', 0, 108, 266, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057894_0.png', 0, 224, 311, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057949_0.png', 0, 287, 927, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057981_0.png', 0, 160, 133, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057986_0.png', 0, 224, 186, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057961_0.png', 0, 284, 214, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057962_0.png', 0, 209, 158, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057958_0.png', 0, 485, 174, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057948_0.png', 0, 528, 443, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057983_0.png', 0, 222, 155, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057973_0.png', 0, 238, 118, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057978_0.png', 0, 276, 170, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057955_0.png', 0, 327, 161, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057950_0.png', 0, 174, 235, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057984_0.png', 0, 197, 165, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057998_0.png', 0, 124, 138, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057990_0.png', 0, 82, 96, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057947_0.png', 0, 155, 232, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057974_0.png', 0, 269, 230, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057965_0.png', 0, 110, 140, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057992_0.png', 0, 154, 126, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057971_0.png', 0, 129, 109, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057976_0.png', 0, 178, 216, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057994_0.png', 0, 220, 127, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057967_0.png', 0, 230, 215, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057982_0.png', 0, 179, 143, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057985_0.png', 0, 507, 451, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057944_0.png', 0, 221, 246, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057975_0.png', 0, 254, 293, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057946_0.png', 0, 197, 195, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057959_0.png', 0, 301, 177, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057977_0.png', 0, 186, 147, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057966_0.png', 0, 360, 231, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057953_0.png', 0, 343, 286, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057968_0.png', 0, 240, 193, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057980_0.png', 0, 141, 162, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057969_0.png', 0, 102, 129, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057952_0.png', 0, 87, 112, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057951_0.png', 0, 197, 167, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057956_0.png', 0, 461, 530, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057972_0.png', 0, 168, 181, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057987_0.png', 0, 383, 198, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057964_0.png', 0, 51, 94, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057957_0.png', 0, 79, 113, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057997_0.png', 0, 56, 48, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057988_0.png', 0, 58, 58, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057954_0.png', 0, 278, 308, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057989_0.png', 0, 79, 48, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057993_0.png', 0, 110, 186, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057945_0.png', 0, 122, 163, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058008_0.png', 0, 208, 142, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058013_0.png', 0, 406, 275, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058007_0.png', 0, 418, 304, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058002_0.png', 0, 673, 221, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058022_0.png', 0, 468, 276, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058021_0.png', 0, 335, 214, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058040_0.png', 0, 177, 111, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058026_0.png', 0, 96, 273, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058049_0.png', 0, 182, 213, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058010_0.png', 0, 184, 123, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058020_0.png', 0, 255, 257, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058041_0.png', 0, 134, 310, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058004_0.png', 0, 146, 157, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058037_0.png', 0, 154, 121, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058019_0.png', 0, 122, 118, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058025_0.png', 0, 64, 122, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058023_0.png', 0, 367, 314, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058046_0.png', 0, 136, 180, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058012_0.png', 0, 408, 369, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058028_0.png', 0, 432, 274, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058038_0.png', 0, 282, 296, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058000_0.png', 0, 308, 210, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058030_0.png', 0, 187, 164, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058035_0.png', 0, 66, 104, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058044_0.png', 0, 180, 225, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058033_0.png', 0, 116, 125, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058027_0.png', 0, 176, 273, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058042_0.png', 0, 252, 270, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058032_0.png', 0, 187, 319, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058017_0.png', 0, 135, 134, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133057999_0.png', 0, 126, 110, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058015_0.png', 0, 471, 314, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058018_0.png', 0, 114, 131, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058036_0.png', 0, 287, 258, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058031_0.png', 0, 118, 109, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058047_0.png', 0, 183, 164, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058005_0.png', 0, 254, 244, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058048_0.png', 0, 114, 103, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058016_0.png', 0, 344, 186, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058011_0.png', 0, 128, 151, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058014_0.png', 0, 331, 308, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058001_0.png', 0, 325, 361, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058073_0.png', 0, 732, 723, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058093_0.png', 0, 401, 418, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058088_0.png', 0, 301, 198, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058051_0.png', 0, 280, 207, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058072_0.png', 0, 302, 228, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058083_0.png', 0, 334, 255, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058055_0.png', 0, 385, 333, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058062_0.png', 0, 148, 237, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058096_0.png', 0, 214, 182, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058085_0.png', 0, 287, 248, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058053_0.png', 0, 155, 193, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058108_0.png', 0, 133, 148, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058099_0.png', 0, 204, 223, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058079_0.png', 0, 138, 128, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058114_0.png', 0, 86, 75, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058091_0.png', 0, 156, 180, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058082_0.png', 0, 173, 184, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058112_0.png', 0, 239, 201, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058064_0.png', 0, 115, 151, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058087_0.png', 0, 179, 285, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058078_0.png', 0, 154, 111, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058097_0.png', 0, 180, 181, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058070_0.png', 0, 212, 158, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058066_0.png', 0, 94, 115, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058075_0.png', 0, 269, 197, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058086_0.png', 0, 140, 313, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058098_0.png', 0, 381, 319, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058060_0.png', 0, 274, 353, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058102_0.png', 0, 289, 254, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058077_0.png', 0, 288, 210, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058050_0.png', 0, 416, 399, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058101_0.png', 0, 86, 170, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058105_0.png', 0, 274, 311, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058058_0.png', 0, 294, 229, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058069_0.png', 0, 83, 188, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058111_0.png', 0, 198, 355, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058109_0.png', 0, 116, 115, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058090_0.png', 0, 108, 188, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058057_0.png', 0, 229, 219, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058056_0.png', 0, 265, 346, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058104_0.png', 0, 348, 338, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058065_0.png', 0, 261, 225, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058084_0.png', 0, 271, 309, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058076_0.png', 0, 226, 269, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058052_0.png', 0, 91, 105, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058054_0.png', 0, 179, 154, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058092_0.png', 0, 139, 195, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247779), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058094_0.png', 0, 144, 138, 0, 1771247779,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! we have uploaded 318 photos in the portfolio 3736932 time of upload the photos Elapsed time : 75.30066514015198 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 ! map_result returned by crop_photo_return_map_crop : length : 77 About to insert : list_path_to_insert length 77 new photo from crops ! About to upload 77 photos upload in portfolio : 3736932 init cache_photo without model_param we have 77 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1771247813_3472646 INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057745_0.png', 0, 381, 359, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057775_0.png', 0, 90, 94, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057717_0.png', 0, 208, 243, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057743_0.png', 0, 140, 210, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057725_0.png', 0, 229, 143, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057762_0.png', 0, 377, 237, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057750_0.png', 0, 319, 210, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057754_0.png', 0, 122, 138, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057764_0.png', 0, 176, 140, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057739_0.png', 0, 531, 271, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057752_0.png', 0, 219, 194, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057765_0.png', 0, 255, 143, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057763_0.png', 0, 271, 306, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057760_0.png', 0, 122, 212, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057738_0.png', 0, 468, 271, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057790_0.png', 0, 280, 247, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057796_0.png', 0, 224, 163, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057804_0.png', 0, 209, 208, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057840_0.png', 0, 164, 178, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057811_0.png', 0, 201, 157, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057812_0.png', 0, 133, 143, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057841_0.png', 0, 135, 130, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057816_0.png', 0, 331, 290, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057814_0.png', 0, 366, 381, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057781_0.png', 0, 169, 150, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057813_0.png', 0, 371, 261, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057846_0.png', 0, 309, 177, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057778_0.png', 0, 282, 201, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057787_0.png', 0, 211, 209, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057836_0.png', 0, 87, 165, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057851_0.png', 0, 109, 163, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057878_0.png', 0, 170, 277, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057852_0.png', 0, 411, 206, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057893_0.png', 0, 251, 208, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057867_0.png', 0, 517, 280, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057940_0.png', 0, 248, 83, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057933_0.png', 0, 218, 182, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057939_0.png', 0, 309, 170, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057920_0.png', 0, 154, 144, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057895_0.png', 0, 229, 185, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057925_0.png', 0, 397, 246, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057897_0.png', 0, 469, 292, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057919_0.png', 0, 198, 167, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057938_0.png', 0, 234, 291, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057906_0.png', 0, 184, 144, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057991_0.png', 0, 181, 135, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057995_0.png', 0, 343, 222, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057960_0.png', 0, 141, 93, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057970_0.png', 0, 133, 207, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057996_0.png', 0, 486, 316, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057963_0.png', 0, 307, 193, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057979_0.png', 0, 318, 287, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058006_0.png', 0, 255, 250, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058024_0.png', 0, 504, 369, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058029_0.png', 0, 205, 274, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058045_0.png', 0, 129, 107, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058009_0.png', 0, 288, 440, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058003_0.png', 0, 188, 210, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058034_0.png', 0, 306, 238, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058039_0.png', 0, 127, 129, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058107_0.png', 0, 273, 142, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058113_0.png', 0, 164, 61, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058059_0.png', 0, 229, 297, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058095_0.png', 0, 375, 322, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058103_0.png', 0, 190, 191, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058080_0.png', 0, 129, 146, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058089_0.png', 0, 216, 259, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058100_0.png', 0, 327, 373, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058061_0.png', 0, 428, 237, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058074_0.png', 0, 733, 324, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058068_0.png', 0, 488, 206, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058067_0.png', 0, 253, 237, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058063_0.png', 0, 255, 160, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058110_0.png', 0, 171, 126, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058106_0.png', 0, 435, 220, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058081_0.png', 0, 244, 157, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247826), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058071_0.png', 0, 158, 294, 0, 1771247826,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! we have uploaded 77 photos in the portfolio 3736932 time of upload the photos Elapsed time : 17.240800380706787 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 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 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 ! map_result returned by crop_photo_return_map_crop : length : 2 About to insert : list_path_to_insert length 2 new photo from crops ! About to upload 2 photos upload in portfolio : 3736932 init cache_photo without model_param we have 2 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1771247832_3472646 INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247832), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057776_0.png', 0, 455, 261, 0, 1771247832,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247832), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057741_0.png', 0, 42, 178, 0, 1771247832,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! we have uploaded 2 photos in the portfolio 3736932 time of upload the photos Elapsed time : 0.8381390571594238 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 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 ! map_result returned by crop_photo_return_map_crop : length : 2 About to insert : list_path_to_insert length 2 new photo from crops ! About to upload 2 photos upload in portfolio : 3736932 init cache_photo without model_param we have 2 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1771247835_3472646 INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247835), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057892_0.png', 0, 237, 172, 0, 1771247835,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1771247835), 0.0, 0.0, 14, '', 0, 0, '1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058043_0.png', 0, 368, 194, 0, 1771247835,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! we have uploaded 2 photos in the portfolio 3736932 time of upload the photos Elapsed time : 0.7262840270996094 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 Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : crop_condition we use saveGeneral [1408385598, 1408385030, 1408384992, 1408384954, 1408384916, 1408384903, 1408384473] Looping around the photos to save general results len do output : 399 /1408402136Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402137Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402138Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402139Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402140Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402141Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402142Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402143Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402144Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402145Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402146Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402147Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402148Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402149Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402150Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402151Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402152Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402153Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402154Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402155Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402156Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402157Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402158Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402159Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402160Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402161Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402162Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402163Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402164Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402165Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402166Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402167Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402168Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402169Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402170Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402171Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402172Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402173Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402174Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402175Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402176Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402177Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402178Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402179Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402180Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402181Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402182Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402183Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402184Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402185Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402186Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402187Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402188Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402189Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402190Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402191Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402192Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402193Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402194Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402195Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402196Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402197Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402198Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402199Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402200Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402201Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402202Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402203Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402204Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402205Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402206Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402207Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402208Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402209Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402210Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402211Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402212Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402213Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402214Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402215Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402216Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402217Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402218Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402219Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402220Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402221Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402222Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402223Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402224Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402225Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402226Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402227Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402228Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402229Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402230Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402231Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402232Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402233Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402234Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402235Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402236Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402237Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402238Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402239Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402240Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402241Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402242Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402243Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402244Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402245Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402246Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402247Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402248Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402249Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402250Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402251Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402252Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402253Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402254Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402255Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402256Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402257Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402258Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402259Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402260Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402261Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402262Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402263Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402264Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402265Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402266Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402267Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402268Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402269Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402270Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402271Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402272Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402273Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402274Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402275Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402276Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402277Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402278Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402279Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402280Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402281Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402282Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402283Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402284Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402285Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402286Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402287Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402288Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402289Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402290Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402291Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402292Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402293Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402294Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402295Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402296Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402297Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402298Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402299Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402300Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402301Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402302Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402303Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402304Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402305Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402306Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402307Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402308Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402309Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402310Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402311Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402312Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402313Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402314Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402315Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402316Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402317Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402318Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402319Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402320Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402321Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402322Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402323Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402324Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402325Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402326Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402327Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402328Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402329Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402330Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402331Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402332Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402333Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402334Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402335Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402336Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402337Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402338Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402339Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402340Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402341Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402342Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402343Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402344Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402345Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402346Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402347Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402348Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402349Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402350Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402351Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402352Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402353Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402354Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402355Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402356Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402357Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402358Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402359Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402360Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402361Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402362Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402363Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402364Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402365Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402366Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402367Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402368Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402369Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402370Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402371Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402372Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402373Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402374Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402375Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402376Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402377Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402378Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402379Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402380Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402381Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402382Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402383Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402385Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402386Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402387Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402388Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402389Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402390Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402391Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402392Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402393Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402394Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402395Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402396Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402397Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402398Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402399Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402400Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402401Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402402Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402403Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402404Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402405Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402406Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402407Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402408Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402409Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402410Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402411Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402412Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402413Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402414Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402415Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402416Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402417Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402418Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402419Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402420Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402421Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402422Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402423Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402424Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402425Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402426Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402427Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402428Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402429Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402430Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402431Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402432Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402433Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402434Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402435Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402436Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402437Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402438Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402439Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402440Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402441Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402442Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402443Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402444Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402445Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402446Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402447Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402448Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402449Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402450Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402451Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402452Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402453Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402454Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402480Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402483Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402484Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402486Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402488Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402489Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402491Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402493Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402494Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402497Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402498Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402500Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402502Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402503Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402505Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402507Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402508Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402510Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402512Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402514Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402516Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402517Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402519Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402521Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402522Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402525Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402526Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402528Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402530Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402531Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402534Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402535Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402537Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402539Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402540Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402542Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402544Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402545Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402547Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402548Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402549Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402551Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402552Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402553Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402555Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402556Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402558Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402559Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402560Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402562Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402563Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402565Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402567Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402568Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402569Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402571Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402572Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402573Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402575Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402576Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402577Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402579Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402580Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402582Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402583Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402584Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402586Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402587Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402588Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402590Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402591Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402593Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402594Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402595Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402597Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402598Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402599Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402619Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402620Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402648Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1408402649Didn'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, '4344820') ('3318', '30413755', '1408385598', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408385030', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384992', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384954', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384916', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384903', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384473', None, None, None, None, None, '4344820') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 1204 time used for this insertion : 0.13434553146362305 save_final save missing photos in datou_result : time spend for datou_step_exec : 173.71749591827393 time spend to save output : 0.143233060836792 total time spend for step 2 : 173.86072897911072 step3:rle_unique_nms_with_priority Mon Feb 16 14:17:15 2026 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 VR 22-3-18 : For now we do not clean correctly the datou structure Begin step rle-unique-nms batch 1 Loaded 399 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++nb_obj : 61 nb_hashtags : 3 time to prepare the origin masks : 4.776373386383057 time for calcul the mask position with numpy : 1.8269717693328857 nb_pixel_total : 6223936 time to create 1 rle with new method : 1.0881733894348145 time for calcul the mask position with numpy : 0.03759121894836426 nb_pixel_total : 23153 time to create 1 rle with old method : 0.028151988983154297 time for calcul the mask position with numpy : 0.03489518165588379 nb_pixel_total : 5614 time to create 1 rle with old method : 0.006389141082763672 time for calcul the mask position with numpy : 0.03452897071838379 nb_pixel_total : 10992 time to create 1 rle with old method : 0.012572526931762695 time for calcul the mask position with numpy : 0.03476142883300781 nb_pixel_total : 40839 time to create 1 rle with old method : 0.046190738677978516 time for calcul the mask position with numpy : 0.0337526798248291 nb_pixel_total : 49970 time to create 1 rle with old method : 0.05536627769470215 time for calcul the mask position with numpy : 0.03385758399963379 nb_pixel_total : 26395 time to create 1 rle with old method : 0.029712200164794922 time for calcul the mask position with numpy : 0.033392906188964844 nb_pixel_total : 37842 time to create 1 rle with old method : 0.0408174991607666 time for calcul the mask position with numpy : 0.032147884368896484 nb_pixel_total : 27356 time to create 1 rle with old method : 0.029558181762695312 time for calcul the mask position with numpy : 0.032376766204833984 nb_pixel_total : 58305 time to create 1 rle with old method : 0.06335067749023438 time for calcul the mask position with numpy : 0.03335738182067871 nb_pixel_total : 20848 time to create 1 rle with old method : 0.022975921630859375 time for calcul the mask position with numpy : 0.03429532051086426 nb_pixel_total : 15845 time to create 1 rle with old method : 0.0177915096282959 time for calcul the mask position with numpy : 0.03396916389465332 nb_pixel_total : 3614 time to create 1 rle with old method : 0.004305839538574219 time for calcul the mask position with numpy : 0.03377962112426758 nb_pixel_total : 46039 time to create 1 rle with old method : 0.05155467987060547 time for calcul the mask position with numpy : 0.034654855728149414 nb_pixel_total : 52014 time to create 1 rle with old method : 0.0688939094543457 time for calcul the mask position with numpy : 0.03455662727355957 nb_pixel_total : 13478 time to create 1 rle with old method : 0.015240192413330078 time for calcul the mask position with numpy : 0.034653663635253906 nb_pixel_total : 17293 time to create 1 rle with old method : 0.01961517333984375 time for calcul the mask position with numpy : 0.03437471389770508 nb_pixel_total : 30315 time to create 1 rle with old method : 0.03429532051086426 time for calcul the mask position with numpy : 0.03395557403564453 nb_pixel_total : 15621 time to create 1 rle with old method : 0.017426490783691406 time for calcul the mask position with numpy : 0.034806251525878906 nb_pixel_total : 62943 time to create 1 rle with old method : 0.07019901275634766 time for calcul the mask position with numpy : 0.03448677062988281 nb_pixel_total : 12558 time to create 1 rle with old method : 0.014258623123168945 time for calcul the mask position with numpy : 0.034800052642822266 nb_pixel_total : 41470 time to create 1 rle with old method : 0.04678177833557129 time for calcul the mask position with numpy : 0.03447103500366211 nb_pixel_total : 42263 time to create 1 rle with old method : 0.04765439033508301 time for calcul the mask position with numpy : 0.03440070152282715 nb_pixel_total : 9630 time to create 1 rle with old method : 0.010825395584106445 time for calcul the mask position with numpy : 0.035004615783691406 nb_pixel_total : 79036 time to create 1 rle with old method : 0.08881449699401855 time for calcul the mask position with numpy : 0.03647017478942871 nb_pixel_total : 19414 time to create 1 rle with old method : 0.021494626998901367 time for calcul the mask position with numpy : 0.03354191780090332 nb_pixel_total : 6075 time to create 1 rle with old method : 0.007217884063720703 time for calcul the mask position with numpy : 0.033989667892456055 nb_pixel_total : 93292 time to create 1 rle with old method : 0.10257244110107422 time for calcul the mask position with numpy : 0.03392839431762695 nb_pixel_total : 18576 time to create 1 rle with old method : 0.021023988723754883 time for calcul the mask position with numpy : 0.03406071662902832 nb_pixel_total : 17983 time to create 1 rle with old method : 0.0199429988861084 time for calcul the mask position with numpy : 0.03368496894836426 nb_pixel_total : 10998 time to create 1 rle with old method : 0.012268543243408203 time for calcul the mask position with numpy : 0.03359484672546387 nb_pixel_total : 17566 time to create 1 rle with old method : 0.019651174545288086 time for calcul the mask position with numpy : 0.03380942344665527 nb_pixel_total : 53641 time to create 1 rle with old method : 0.05969572067260742 time for calcul the mask position with numpy : 0.03361701965332031 nb_pixel_total : 37179 time to create 1 rle with old method : 0.04024958610534668 time for calcul the mask position with numpy : 0.03323626518249512 nb_pixel_total : 84301 time to create 1 rle with old method : 0.09301519393920898 time for calcul the mask position with numpy : 0.03404998779296875 nb_pixel_total : 20069 time to create 1 rle with old method : 0.022380828857421875 time for calcul the mask position with numpy : 0.03400874137878418 nb_pixel_total : 17821 time to create 1 rle with old method : 0.01989126205444336 time for calcul the mask position with numpy : 0.03410530090332031 nb_pixel_total : 26302 time to create 1 rle with old method : 0.02884387969970703 time for calcul the mask position with numpy : 0.03354501724243164 nb_pixel_total : 18417 time to create 1 rle with old method : 0.02050948143005371 time for calcul the mask position with numpy : 0.03411507606506348 nb_pixel_total : 69255 time to create 1 rle with old method : 0.07658839225769043 time for calcul the mask position with numpy : 0.03394651412963867 nb_pixel_total : 19818 time to create 1 rle with old method : 0.022151470184326172 time for calcul the mask position with numpy : 0.033625125885009766 nb_pixel_total : 7576 time to create 1 rle with old method : 0.008577346801757812 time for calcul the mask position with numpy : 0.033695220947265625 nb_pixel_total : 26620 time to create 1 rle with old method : 0.0296173095703125 time for calcul the mask position with numpy : 0.043404340744018555 nb_pixel_total : 161155 time to create 1 rle with new method : 1.4904165267944336 time for calcul the mask position with numpy : 0.038603782653808594 nb_pixel_total : 18226 time to create 1 rle with old method : 0.02000737190246582 time for calcul the mask position with numpy : 0.033944129943847656 nb_pixel_total : 152185 time to create 1 rle with new method : 1.3588931560516357 time for calcul the mask position with numpy : 0.035279273986816406 nb_pixel_total : 4348 time to create 1 rle with old method : 0.005049943923950195 time for calcul the mask position with numpy : 0.035021305084228516 nb_pixel_total : 13448 time to create 1 rle with old method : 0.015325307846069336 time for calcul the mask position with numpy : 0.03495001792907715 nb_pixel_total : 45968 time to create 1 rle with old method : 0.0517880916595459 time for calcul the mask position with numpy : 0.03528308868408203 nb_pixel_total : 7850 time to create 1 rle with old method : 0.008961677551269531 time for calcul the mask position with numpy : 0.03500723838806152 nb_pixel_total : 18333 time to create 1 rle with old method : 0.02062225341796875 time for calcul the mask position with numpy : 0.03570389747619629 nb_pixel_total : 15541 time to create 1 rle with old method : 0.017589569091796875 time for calcul the mask position with numpy : 0.034827232360839844 nb_pixel_total : 1272 time to create 1 rle with old method : 0.002847909927368164 time for calcul the mask position with numpy : 0.03600001335144043 nb_pixel_total : 71841 time to create 1 rle with old method : 0.08111143112182617 time for calcul the mask position with numpy : 0.03460431098937988 nb_pixel_total : 21203 time to create 1 rle with old method : 0.025823593139648438 time for calcul the mask position with numpy : 0.03582286834716797 nb_pixel_total : 16287 time to create 1 rle with old method : 0.018441200256347656 time for calcul the mask position with numpy : 0.03494095802307129 nb_pixel_total : 16587 time to create 1 rle with old method : 0.018374204635620117 time for calcul the mask position with numpy : 0.034168243408203125 nb_pixel_total : 29101 time to create 1 rle with old method : 0.03245425224304199 time for calcul the mask position with numpy : 0.03413033485412598 nb_pixel_total : 13711 time to create 1 rle with old method : 0.015428543090820312 time for calcul the mask position with numpy : 0.03402996063232422 nb_pixel_total : 95750 time to create 1 rle with old method : 0.10454607009887695 time for calcul the mask position with numpy : 0.03422284126281738 nb_pixel_total : 42392 time to create 1 rle with old method : 0.04656624794006348 time for calcul the mask position with numpy : 0.03732776641845703 nb_pixel_total : 16930 time to create 1 rle with old method : 0.01954793930053711 create new chi : 9.963506698608398 time to delete rle : 0.0378575325012207 batch 1 Loaded 123 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 29377 TO DO : save crop sub photo not yet done ! save time : 1.936838150024414 nb_obj : 69 nb_hashtags : 2 time to prepare the origin masks : 5.111143589019775 time for calcul the mask position with numpy : 0.7610538005828857 nb_pixel_total : 6319742 time to create 1 rle with new method : 0.9956467151641846 time for calcul the mask position with numpy : 0.035709381103515625 nb_pixel_total : 30810 time to create 1 rle with old method : 0.036081552505493164 time for calcul the mask position with numpy : 0.03500533103942871 nb_pixel_total : 19261 time to create 1 rle with old method : 0.02241349220275879 time for calcul the mask position with numpy : 0.03554272651672363 nb_pixel_total : 1178 time to create 1 rle with old method : 0.0015099048614501953 time for calcul the mask position with numpy : 0.03495931625366211 nb_pixel_total : 124005 time to create 1 rle with old method : 0.13985443115234375 time for calcul the mask position with numpy : 0.0352170467376709 nb_pixel_total : 6511 time to create 1 rle with old method : 0.011141538619995117 time for calcul the mask position with numpy : 0.03638052940368652 nb_pixel_total : 14942 time to create 1 rle with old method : 0.01706528663635254 time for calcul the mask position with numpy : 0.038318634033203125 nb_pixel_total : 23406 time to create 1 rle with old method : 0.026301860809326172 time for calcul the mask position with numpy : 0.03792524337768555 nb_pixel_total : 29754 time to create 1 rle with old method : 0.0337827205657959 time for calcul the mask position with numpy : 0.03480172157287598 nb_pixel_total : 15187 time to create 1 rle with old method : 0.017505407333374023 time for calcul the mask position with numpy : 0.03449606895446777 nb_pixel_total : 32135 time to create 1 rle with old method : 0.036722421646118164 time for calcul the mask position with numpy : 0.03611040115356445 nb_pixel_total : 33367 time to create 1 rle with old method : 0.04042387008666992 time for calcul the mask position with numpy : 0.0382695198059082 nb_pixel_total : 32181 time to create 1 rle with old method : 0.040993452072143555 time for calcul the mask position with numpy : 0.04054832458496094 nb_pixel_total : 52053 time to create 1 rle with old method : 0.06063961982727051 time for calcul the mask position with numpy : 0.03534507751464844 nb_pixel_total : 10918 time to create 1 rle with old method : 0.013385295867919922 time for calcul the mask position with numpy : 0.03543257713317871 nb_pixel_total : 20992 time to create 1 rle with old method : 0.024640560150146484 time for calcul the mask position with numpy : 0.03518557548522949 nb_pixel_total : 31877 time to create 1 rle with old method : 0.03893780708312988 time for calcul the mask position with numpy : 0.03751683235168457 nb_pixel_total : 99321 time to create 1 rle with old method : 0.11696982383728027 time for calcul the mask position with numpy : 0.03541302680969238 nb_pixel_total : 15915 time to create 1 rle with old method : 0.019693851470947266 time for calcul the mask position with numpy : 0.03505587577819824 nb_pixel_total : 26307 time to create 1 rle with old method : 0.0297396183013916 time for calcul the mask position with numpy : 0.03535914421081543 nb_pixel_total : 225759 time to create 1 rle with new method : 1.3548166751861572 time for calcul the mask position with numpy : 0.03470420837402344 nb_pixel_total : 15109 time to create 1 rle with old method : 0.017233610153198242 time for calcul the mask position with numpy : 0.03452014923095703 nb_pixel_total : 14426 time to create 1 rle with old method : 0.01642608642578125 time for calcul the mask position with numpy : 0.03473925590515137 nb_pixel_total : 5499 time to create 1 rle with old method : 0.006325483322143555 time for calcul the mask position with numpy : 0.03498530387878418 nb_pixel_total : 18239 time to create 1 rle with old method : 0.020795106887817383 time for calcul the mask position with numpy : 0.03513932228088379 nb_pixel_total : 48778 time to create 1 rle with old method : 0.060759544372558594 time for calcul the mask position with numpy : 0.035173654556274414 nb_pixel_total : 13198 time to create 1 rle with old method : 0.015131473541259766 time for calcul the mask position with numpy : 0.03456854820251465 nb_pixel_total : 13093 time to create 1 rle with old method : 0.014941930770874023 time for calcul the mask position with numpy : 0.03725433349609375 nb_pixel_total : 11365 time to create 1 rle with old method : 0.012695550918579102 time for calcul the mask position with numpy : 0.03515148162841797 nb_pixel_total : 16608 time to create 1 rle with old method : 0.018959760665893555 time for calcul the mask position with numpy : 0.03600168228149414 nb_pixel_total : 213626 time to create 1 rle with new method : 1.0408470630645752 time for calcul the mask position with numpy : 0.033606529235839844 nb_pixel_total : 29008 time to create 1 rle with old method : 0.032074928283691406 time for calcul the mask position with numpy : 0.03431844711303711 nb_pixel_total : 41634 time to create 1 rle with old method : 0.04569244384765625 time for calcul the mask position with numpy : 0.03421664237976074 nb_pixel_total : 9610 time to create 1 rle with old method : 0.01112222671508789 time for calcul the mask position with numpy : 0.03499650955200195 nb_pixel_total : 17099 time to create 1 rle with old method : 0.018869638442993164 time for calcul the mask position with numpy : 0.03312373161315918 nb_pixel_total : 63388 time to create 1 rle with old method : 0.07926774024963379 time for calcul the mask position with numpy : 0.03596949577331543 nb_pixel_total : 20817 time to create 1 rle with old method : 0.023748397827148438 time for calcul the mask position with numpy : 0.0350494384765625 nb_pixel_total : 12838 time to create 1 rle with old method : 0.014638423919677734 time for calcul the mask position with numpy : 0.03510928153991699 nb_pixel_total : 13698 time to create 1 rle with old method : 0.01568126678466797 time for calcul the mask position with numpy : 0.035428524017333984 nb_pixel_total : 14348 time to create 1 rle with old method : 0.01635432243347168 time for calcul the mask position with numpy : 0.0352778434753418 nb_pixel_total : 22060 time to create 1 rle with old method : 0.02497124671936035 time for calcul the mask position with numpy : 0.03489875793457031 nb_pixel_total : 8187 time to create 1 rle with old method : 0.009287357330322266 time for calcul the mask position with numpy : 0.03491711616516113 nb_pixel_total : 32179 time to create 1 rle with old method : 0.0357966423034668 time for calcul the mask position with numpy : 0.03500699996948242 nb_pixel_total : 21394 time to create 1 rle with old method : 0.02763652801513672 time for calcul the mask position with numpy : 0.03931593894958496 nb_pixel_total : 11314 time to create 1 rle with old method : 0.016035795211791992 time for calcul the mask position with numpy : 0.036364078521728516 nb_pixel_total : 27613 time to create 1 rle with old method : 0.03117537498474121 time for calcul the mask position with numpy : 0.03496575355529785 nb_pixel_total : 5936 time to create 1 rle with old method : 0.006814241409301758 time for calcul the mask position with numpy : 0.03497576713562012 nb_pixel_total : 8858 time to create 1 rle with old method : 0.010060787200927734 time for calcul the mask position with numpy : 0.03509640693664551 nb_pixel_total : 16615 time to create 1 rle with old method : 0.01917552947998047 time for calcul the mask position with numpy : 0.035187721252441406 nb_pixel_total : 3476 time to create 1 rle with old method : 0.004019260406494141 time for calcul the mask position with numpy : 0.03513669967651367 nb_pixel_total : 35328 time to create 1 rle with old method : 0.03962516784667969 time for calcul the mask position with numpy : 0.03548073768615723 nb_pixel_total : 75493 time to create 1 rle with old method : 0.08473038673400879 time for calcul the mask position with numpy : 0.03543734550476074 nb_pixel_total : 26295 time to create 1 rle with old method : 0.029602527618408203 time for calcul the mask position with numpy : 0.03579568862915039 nb_pixel_total : 4255 time to create 1 rle with old method : 0.004914045333862305 time for calcul the mask position with numpy : 0.03473353385925293 nb_pixel_total : 2613 time to create 1 rle with old method : 0.00305938720703125 time for calcul the mask position with numpy : 0.034560441970825195 nb_pixel_total : 15000 time to create 1 rle with old method : 0.017189741134643555 time for calcul the mask position with numpy : 0.03500962257385254 nb_pixel_total : 6247 time to create 1 rle with old method : 0.007185697555541992 time for calcul the mask position with numpy : 0.034998416900634766 nb_pixel_total : 10800 time to create 1 rle with old method : 0.012207746505737305 time for calcul the mask position with numpy : 0.03422427177429199 nb_pixel_total : 3953 time to create 1 rle with old method : 0.004506587982177734 time for calcul the mask position with numpy : 0.03427267074584961 nb_pixel_total : 35905 time to create 1 rle with old method : 0.0386812686920166 time for calcul the mask position with numpy : 0.033483028411865234 nb_pixel_total : 24715 time to create 1 rle with old method : 0.027217864990234375 time for calcul the mask position with numpy : 0.0333554744720459 nb_pixel_total : 18003 time to create 1 rle with old method : 0.019093036651611328 time for calcul the mask position with numpy : 0.03452014923095703 nb_pixel_total : 10916 time to create 1 rle with old method : 0.012393474578857422 time for calcul the mask position with numpy : 0.03392934799194336 nb_pixel_total : 56435 time to create 1 rle with old method : 0.06177997589111328 time for calcul the mask position with numpy : 0.03438377380371094 nb_pixel_total : 7572 time to create 1 rle with old method : 0.008523941040039062 time for calcul the mask position with numpy : 0.03432345390319824 nb_pixel_total : 7910 time to create 1 rle with old method : 0.009058237075805664 time for calcul the mask position with numpy : 0.03430652618408203 nb_pixel_total : 4409 time to create 1 rle with old method : 0.005050182342529297 time for calcul the mask position with numpy : 0.06325936317443848 nb_pixel_total : 9133 time to create 1 rle with old method : 0.013323783874511719 time for calcul the mask position with numpy : 0.037638187408447266 nb_pixel_total : 21368 time to create 1 rle with old method : 0.023393630981445312 time for calcul the mask position with numpy : 0.03290224075317383 nb_pixel_total : 2416 time to create 1 rle with old method : 0.0027196407318115234 create new chi : 8.495156288146973 time to delete rle : 0.0040607452392578125 batch 1 Loaded 140 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 31743 TO DO : save crop sub photo not yet done ! save time : 2.0219779014587402 nb_obj : 47 nb_hashtags : 3 time to prepare the origin masks : 4.980549573898315 time for calcul the mask position with numpy : 0.5991535186767578 nb_pixel_total : 6732555 time to create 1 rle with new method : 1.1992721557617188 time for calcul the mask position with numpy : 0.03742575645446777 nb_pixel_total : 126106 time to create 1 rle with old method : 0.14327025413513184 time for calcul the mask position with numpy : 0.03439021110534668 nb_pixel_total : 21309 time to create 1 rle with old method : 0.024114608764648438 time for calcul the mask position with numpy : 0.03655242919921875 nb_pixel_total : 61305 time to create 1 rle with old method : 0.06788849830627441 time for calcul the mask position with numpy : 0.035231590270996094 nb_pixel_total : 7378 time to create 1 rle with old method : 0.008810997009277344 time for calcul the mask position with numpy : 0.03564763069152832 nb_pixel_total : 52554 time to create 1 rle with old method : 0.05979204177856445 time for calcul the mask position with numpy : 0.034880638122558594 nb_pixel_total : 1203 time to create 1 rle with old method : 0.0016341209411621094 time for calcul the mask position with numpy : 0.035591840744018555 nb_pixel_total : 22757 time to create 1 rle with old method : 0.02683401107788086 time for calcul the mask position with numpy : 0.03494620323181152 nb_pixel_total : 15794 time to create 1 rle with old method : 0.018700599670410156 time for calcul the mask position with numpy : 0.03552961349487305 nb_pixel_total : 50025 time to create 1 rle with old method : 0.056702613830566406 time for calcul the mask position with numpy : 0.041018009185791016 nb_pixel_total : 14121 time to create 1 rle with old method : 0.016202926635742188 time for calcul the mask position with numpy : 0.03510403633117676 nb_pixel_total : 32971 time to create 1 rle with old method : 0.03808879852294922 time for calcul the mask position with numpy : 0.0348505973815918 nb_pixel_total : 8794 time to create 1 rle with old method : 0.010327339172363281 time for calcul the mask position with numpy : 0.035297393798828125 nb_pixel_total : 13256 time to create 1 rle with old method : 0.015439271926879883 time for calcul the mask position with numpy : 0.03452777862548828 nb_pixel_total : 15187 time to create 1 rle with old method : 0.017625093460083008 time for calcul the mask position with numpy : 0.03542947769165039 nb_pixel_total : 38228 time to create 1 rle with old method : 0.04323577880859375 time for calcul the mask position with numpy : 0.035478830337524414 nb_pixel_total : 31187 time to create 1 rle with old method : 0.03532099723815918 time for calcul the mask position with numpy : 0.03515219688415527 nb_pixel_total : 26904 time to create 1 rle with old method : 0.03023815155029297 time for calcul the mask position with numpy : 0.03492283821105957 nb_pixel_total : 30623 time to create 1 rle with old method : 0.03472018241882324 time for calcul the mask position with numpy : 0.034795522689819336 nb_pixel_total : 60729 time to create 1 rle with old method : 0.0698537826538086 time for calcul the mask position with numpy : 0.03537321090698242 nb_pixel_total : 15887 time to create 1 rle with old method : 0.018227577209472656 time for calcul the mask position with numpy : 0.03912854194641113 nb_pixel_total : 15729 time to create 1 rle with old method : 0.019670724868774414 time for calcul the mask position with numpy : 0.03574514389038086 nb_pixel_total : 27609 time to create 1 rle with old method : 0.032138824462890625 time for calcul the mask position with numpy : 0.03551983833312988 nb_pixel_total : 20362 time to create 1 rle with old method : 0.023821592330932617 time for calcul the mask position with numpy : 0.0357661247253418 nb_pixel_total : 99139 time to create 1 rle with old method : 0.1109011173248291 time for calcul the mask position with numpy : 0.03526568412780762 nb_pixel_total : 44107 time to create 1 rle with old method : 0.04961085319519043 time for calcul the mask position with numpy : 0.03535819053649902 nb_pixel_total : 25593 time to create 1 rle with old method : 0.0305020809173584 time for calcul the mask position with numpy : 0.03513073921203613 nb_pixel_total : 48331 time to create 1 rle with old method : 0.05492210388183594 time for calcul the mask position with numpy : 0.03534960746765137 nb_pixel_total : 32760 time to create 1 rle with old method : 0.036809444427490234 time for calcul the mask position with numpy : 0.03520798683166504 nb_pixel_total : 28500 time to create 1 rle with old method : 0.03322196006774902 time for calcul the mask position with numpy : 0.03438258171081543 nb_pixel_total : 9171 time to create 1 rle with old method : 0.010670185089111328 time for calcul the mask position with numpy : 0.0351564884185791 nb_pixel_total : 8963 time to create 1 rle with old method : 0.009762048721313477 time for calcul the mask position with numpy : 0.03488731384277344 nb_pixel_total : 54083 time to create 1 rle with old method : 0.0614163875579834 time for calcul the mask position with numpy : 0.03522777557373047 nb_pixel_total : 22633 time to create 1 rle with old method : 0.025577068328857422 time for calcul the mask position with numpy : 0.03539085388183594 nb_pixel_total : 50723 time to create 1 rle with old method : 0.057584285736083984 time for calcul the mask position with numpy : 0.03527045249938965 nb_pixel_total : 14268 time to create 1 rle with old method : 0.016572237014770508 time for calcul the mask position with numpy : 0.037400245666503906 nb_pixel_total : 132594 time to create 1 rle with old method : 0.1684725284576416 time for calcul the mask position with numpy : 0.03547263145446777 nb_pixel_total : 23119 time to create 1 rle with old method : 0.026097774505615234 time for calcul the mask position with numpy : 0.03547167778015137 nb_pixel_total : 23805 time to create 1 rle with old method : 0.027304887771606445 time for calcul the mask position with numpy : 0.0352785587310791 nb_pixel_total : 48100 time to create 1 rle with old method : 0.05738544464111328 time for calcul the mask position with numpy : 0.03564906120300293 nb_pixel_total : 80610 time to create 1 rle with old method : 0.09621739387512207 time for calcul the mask position with numpy : 0.034754276275634766 nb_pixel_total : 13868 time to create 1 rle with old method : 0.0157320499420166 time for calcul the mask position with numpy : 0.03491020202636719 nb_pixel_total : 1873 time to create 1 rle with old method : 0.0022706985473632812 time for calcul the mask position with numpy : 0.034726858139038086 nb_pixel_total : 31944 time to create 1 rle with old method : 0.035970449447631836 time for calcul the mask position with numpy : 0.034674882888793945 nb_pixel_total : 23699 time to create 1 rle with old method : 0.028615474700927734 time for calcul the mask position with numpy : 0.034392356872558594 nb_pixel_total : 11734 time to create 1 rle with old method : 0.013378381729125977 time for calcul the mask position with numpy : 0.036394596099853516 nb_pixel_total : 10602 time to create 1 rle with old method : 0.012014627456665039 time for calcul the mask position with numpy : 0.03528428077697754 nb_pixel_total : 11608 time to create 1 rle with old method : 0.013168573379516602 create new chi : 5.346422910690308 time to delete rle : 0.0050008296966552734 batch 1 Loaded 95 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 23898 TO DO : save crop sub photo not yet done ! save time : 1.5416696071624756 nb_obj : 50 nb_hashtags : 2 time to prepare the origin masks : 5.344991207122803 time for calcul the mask position with numpy : 0.8218038082122803 nb_pixel_total : 5921401 time to create 1 rle with new method : 1.048677682876587 time for calcul the mask position with numpy : 0.035518646240234375 nb_pixel_total : 29027 time to create 1 rle with old method : 0.03652310371398926 time for calcul the mask position with numpy : 0.03478097915649414 nb_pixel_total : 15204 time to create 1 rle with old method : 0.01665210723876953 time for calcul the mask position with numpy : 0.03297066688537598 nb_pixel_total : 41879 time to create 1 rle with old method : 0.04710125923156738 time for calcul the mask position with numpy : 0.035186767578125 nb_pixel_total : 115404 time to create 1 rle with old method : 0.13051199913024902 time for calcul the mask position with numpy : 0.03497910499572754 nb_pixel_total : 18139 time to create 1 rle with old method : 0.020732641220092773 time for calcul the mask position with numpy : 0.03454732894897461 nb_pixel_total : 41057 time to create 1 rle with old method : 0.046682119369506836 time for calcul the mask position with numpy : 0.03423309326171875 nb_pixel_total : 20096 time to create 1 rle with old method : 0.022962570190429688 time for calcul the mask position with numpy : 0.03707265853881836 nb_pixel_total : 35464 time to create 1 rle with old method : 0.03982043266296387 time for calcul the mask position with numpy : 0.03476381301879883 nb_pixel_total : 53832 time to create 1 rle with old method : 0.06021761894226074 time for calcul the mask position with numpy : 0.03487563133239746 nb_pixel_total : 28031 time to create 1 rle with old method : 0.03170347213745117 time for calcul the mask position with numpy : 0.035332679748535156 nb_pixel_total : 19938 time to create 1 rle with old method : 0.02256608009338379 time for calcul the mask position with numpy : 0.03464317321777344 nb_pixel_total : 38658 time to create 1 rle with old method : 0.04881405830383301 time for calcul the mask position with numpy : 0.03757977485656738 nb_pixel_total : 23764 time to create 1 rle with old method : 0.04134678840637207 time for calcul the mask position with numpy : 0.037404537200927734 nb_pixel_total : 23127 time to create 1 rle with old method : 0.028481483459472656 time for calcul the mask position with numpy : 0.03542208671569824 nb_pixel_total : 42848 time to create 1 rle with old method : 0.04837536811828613 time for calcul the mask position with numpy : 0.0356295108795166 nb_pixel_total : 72997 time to create 1 rle with old method : 0.08088970184326172 time for calcul the mask position with numpy : 0.03405642509460449 nb_pixel_total : 9337 time to create 1 rle with old method : 0.010474443435668945 time for calcul the mask position with numpy : 0.034323692321777344 nb_pixel_total : 33380 time to create 1 rle with old method : 0.03695368766784668 time for calcul the mask position with numpy : 0.03461933135986328 nb_pixel_total : 44004 time to create 1 rle with old method : 0.04921984672546387 time for calcul the mask position with numpy : 0.0344395637512207 nb_pixel_total : 19785 time to create 1 rle with old method : 0.022002458572387695 time for calcul the mask position with numpy : 0.035928964614868164 nb_pixel_total : 30351 time to create 1 rle with old method : 0.03510117530822754 time for calcul the mask position with numpy : 0.033876657485961914 nb_pixel_total : 23133 time to create 1 rle with old method : 0.025441408157348633 time for calcul the mask position with numpy : 0.034197330474853516 nb_pixel_total : 108282 time to create 1 rle with old method : 0.1167304515838623 time for calcul the mask position with numpy : 0.03467702865600586 nb_pixel_total : 19755 time to create 1 rle with old method : 0.021788358688354492 time for calcul the mask position with numpy : 0.03306460380554199 nb_pixel_total : 9986 time to create 1 rle with old method : 0.01094508171081543 time for calcul the mask position with numpy : 0.03458666801452637 nb_pixel_total : 40807 time to create 1 rle with old method : 0.04530191421508789 time for calcul the mask position with numpy : 0.03470015525817871 nb_pixel_total : 91818 time to create 1 rle with old method : 0.10042524337768555 time for calcul the mask position with numpy : 0.033809661865234375 nb_pixel_total : 43771 time to create 1 rle with old method : 0.04815268516540527 time for calcul the mask position with numpy : 0.03428316116333008 nb_pixel_total : 49303 time to create 1 rle with old method : 0.05411267280578613 time for calcul the mask position with numpy : 0.0335240364074707 nb_pixel_total : 23931 time to create 1 rle with old method : 0.026415109634399414 time for calcul the mask position with numpy : 0.03436732292175293 nb_pixel_total : 21019 time to create 1 rle with old method : 0.023285865783691406 time for calcul the mask position with numpy : 0.03432869911193848 nb_pixel_total : 74409 time to create 1 rle with old method : 0.08214950561523438 time for calcul the mask position with numpy : 0.038114309310913086 nb_pixel_total : 454564 time to create 1 rle with new method : 0.6311435699462891 time for calcul the mask position with numpy : 0.03484702110290527 nb_pixel_total : 11204 time to create 1 rle with old method : 0.013115644454956055 time for calcul the mask position with numpy : 0.03389549255371094 nb_pixel_total : 37803 time to create 1 rle with old method : 0.04200124740600586 time for calcul the mask position with numpy : 0.0340573787689209 nb_pixel_total : 10373 time to create 1 rle with old method : 0.011471033096313477 time for calcul the mask position with numpy : 0.03438377380371094 nb_pixel_total : 35697 time to create 1 rle with old method : 0.0400388240814209 time for calcul the mask position with numpy : 0.03488564491271973 nb_pixel_total : 41560 time to create 1 rle with old method : 0.04702448844909668 time for calcul the mask position with numpy : 0.034162282943725586 nb_pixel_total : 18393 time to create 1 rle with old method : 0.02001357078552246 time for calcul the mask position with numpy : 0.03352832794189453 nb_pixel_total : 5994 time to create 1 rle with old method : 0.006573677062988281 time for calcul the mask position with numpy : 0.03415846824645996 nb_pixel_total : 82419 time to create 1 rle with old method : 0.09084844589233398 time for calcul the mask position with numpy : 0.03435969352722168 nb_pixel_total : 42471 time to create 1 rle with old method : 0.046732187271118164 time for calcul the mask position with numpy : 0.0337677001953125 nb_pixel_total : 66034 time to create 1 rle with old method : 0.07139945030212402 time for calcul the mask position with numpy : 0.03423333168029785 nb_pixel_total : 123987 time to create 1 rle with old method : 0.13595128059387207 time for calcul the mask position with numpy : 0.038789987564086914 nb_pixel_total : 48442 time to create 1 rle with old method : 0.06812620162963867 time for calcul the mask position with numpy : 0.0340266227722168 nb_pixel_total : 11388 time to create 1 rle with old method : 0.01280069351196289 time for calcul the mask position with numpy : 0.03339743614196777 nb_pixel_total : 14039 time to create 1 rle with old method : 0.015158891677856445 time for calcul the mask position with numpy : 0.03393697738647461 nb_pixel_total : 16894 time to create 1 rle with old method : 0.019104957580566406 time for calcul the mask position with numpy : 0.03403663635253906 nb_pixel_total : 72838 time to create 1 rle with old method : 0.0811760425567627 time for calcul the mask position with numpy : 0.03501391410827637 nb_pixel_total : 16363 time to create 1 rle with old method : 0.018715620040893555 create new chi : 6.488304615020752 time to delete rle : 0.00646209716796875 batch 1 Loaded 101 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 28421 TO DO : save crop sub photo not yet done ! save time : 1.8072543144226074 nb_obj : 55 nb_hashtags : 2 time to prepare the origin masks : 4.65264630317688 time for calcul the mask position with numpy : 0.40683889389038086 nb_pixel_total : 6522996 time to create 1 rle with new method : 1.2358753681182861 time for calcul the mask position with numpy : 0.03437614440917969 nb_pixel_total : 21775 time to create 1 rle with old method : 0.024455547332763672 time for calcul the mask position with numpy : 0.03433847427368164 nb_pixel_total : 14561 time to create 1 rle with old method : 0.0167238712310791 time for calcul the mask position with numpy : 0.03482460975646973 nb_pixel_total : 16401 time to create 1 rle with old method : 0.018547773361206055 time for calcul the mask position with numpy : 0.03463387489318848 nb_pixel_total : 16323 time to create 1 rle with old method : 0.018355607986450195 time for calcul the mask position with numpy : 0.03426384925842285 nb_pixel_total : 8395 time to create 1 rle with old method : 0.009479999542236328 time for calcul the mask position with numpy : 0.03456711769104004 nb_pixel_total : 57726 time to create 1 rle with old method : 0.0650029182434082 time for calcul the mask position with numpy : 0.03387308120727539 nb_pixel_total : 25951 time to create 1 rle with old method : 0.029027223587036133 time for calcul the mask position with numpy : 0.033390045166015625 nb_pixel_total : 13039 time to create 1 rle with old method : 0.01414942741394043 time for calcul the mask position with numpy : 0.03378939628601074 nb_pixel_total : 19374 time to create 1 rle with old method : 0.02191901206970215 time for calcul the mask position with numpy : 0.03427720069885254 nb_pixel_total : 5260 time to create 1 rle with old method : 0.006058216094970703 time for calcul the mask position with numpy : 0.034589529037475586 nb_pixel_total : 10727 time to create 1 rle with old method : 0.012166023254394531 time for calcul the mask position with numpy : 0.03403592109680176 nb_pixel_total : 19125 time to create 1 rle with old method : 0.020290374755859375 time for calcul the mask position with numpy : 0.031809329986572266 nb_pixel_total : 33849 time to create 1 rle with old method : 0.03716564178466797 time for calcul the mask position with numpy : 0.03372550010681152 nb_pixel_total : 5600 time to create 1 rle with old method : 0.006310462951660156 time for calcul the mask position with numpy : 0.033598899841308594 nb_pixel_total : 29707 time to create 1 rle with old method : 0.032058000564575195 time for calcul the mask position with numpy : 0.03280830383300781 nb_pixel_total : 18113 time to create 1 rle with old method : 0.020018339157104492 time for calcul the mask position with numpy : 0.03395819664001465 nb_pixel_total : 34941 time to create 1 rle with old method : 0.03820371627807617 time for calcul the mask position with numpy : 0.03336977958679199 nb_pixel_total : 25745 time to create 1 rle with old method : 0.028460979461669922 time for calcul the mask position with numpy : 0.035875558853149414 nb_pixel_total : 13953 time to create 1 rle with old method : 0.015848159790039062 time for calcul the mask position with numpy : 0.035231828689575195 nb_pixel_total : 40375 time to create 1 rle with old method : 0.04441714286804199 time for calcul the mask position with numpy : 0.033376455307006836 nb_pixel_total : 7563 time to create 1 rle with old method : 0.008303642272949219 time for calcul the mask position with numpy : 0.03391909599304199 nb_pixel_total : 21896 time to create 1 rle with old method : 0.024327516555786133 time for calcul the mask position with numpy : 0.034200429916381836 nb_pixel_total : 28168 time to create 1 rle with old method : 0.030883312225341797 time for calcul the mask position with numpy : 0.03377652168273926 nb_pixel_total : 50340 time to create 1 rle with old method : 0.05482220649719238 time for calcul the mask position with numpy : 0.03473186492919922 nb_pixel_total : 122590 time to create 1 rle with old method : 0.13529324531555176 time for calcul the mask position with numpy : 0.040719032287597656 nb_pixel_total : 5158 time to create 1 rle with old method : 0.006156206130981445 time for calcul the mask position with numpy : 0.03608250617980957 nb_pixel_total : 150685 time to create 1 rle with new method : 0.9879050254821777 time for calcul the mask position with numpy : 0.03409457206726074 nb_pixel_total : 197463 time to create 1 rle with new method : 0.9110274314880371 time for calcul the mask position with numpy : 0.03455376625061035 nb_pixel_total : 30448 time to create 1 rle with old method : 0.04794740676879883 time for calcul the mask position with numpy : 0.03543663024902344 nb_pixel_total : 1450 time to create 1 rle with old method : 0.0021486282348632812 time for calcul the mask position with numpy : 0.03790688514709473 nb_pixel_total : 15350 time to create 1 rle with old method : 0.024158477783203125 time for calcul the mask position with numpy : 0.03878974914550781 nb_pixel_total : 22461 time to create 1 rle with old method : 0.025660991668701172 time for calcul the mask position with numpy : 0.03622245788574219 nb_pixel_total : 150946 time to create 1 rle with new method : 1.5360913276672363 time for calcul the mask position with numpy : 0.0347442626953125 nb_pixel_total : 58673 time to create 1 rle with old method : 0.06497812271118164 time for calcul the mask position with numpy : 0.03369474411010742 nb_pixel_total : 15966 time to create 1 rle with old method : 0.017705440521240234 time for calcul the mask position with numpy : 0.03596758842468262 nb_pixel_total : 30932 time to create 1 rle with old method : 0.034827232360839844 time for calcul the mask position with numpy : 0.034752845764160156 nb_pixel_total : 20052 time to create 1 rle with old method : 0.0225374698638916 time for calcul the mask position with numpy : 0.03515362739562988 nb_pixel_total : 32272 time to create 1 rle with old method : 0.03661012649536133 time for calcul the mask position with numpy : 0.035124778747558594 nb_pixel_total : 12528 time to create 1 rle with old method : 0.014352798461914062 time for calcul the mask position with numpy : 0.035275936126708984 nb_pixel_total : 43875 time to create 1 rle with old method : 0.04984116554260254 time for calcul the mask position with numpy : 0.03502392768859863 nb_pixel_total : 38091 time to create 1 rle with old method : 0.04318881034851074 time for calcul the mask position with numpy : 0.035352230072021484 nb_pixel_total : 36478 time to create 1 rle with old method : 0.04147768020629883 time for calcul the mask position with numpy : 0.035368919372558594 nb_pixel_total : 23282 time to create 1 rle with old method : 0.030124664306640625 time for calcul the mask position with numpy : 0.03632164001464844 nb_pixel_total : 23407 time to create 1 rle with old method : 0.02684617042541504 time for calcul the mask position with numpy : 0.05602598190307617 nb_pixel_total : 40543 time to create 1 rle with old method : 0.05209040641784668 time for calcul the mask position with numpy : 0.03547096252441406 nb_pixel_total : 3721 time to create 1 rle with old method : 0.006444215774536133 time for calcul the mask position with numpy : 0.03569388389587402 nb_pixel_total : 2648 time to create 1 rle with old method : 0.003113269805908203 time for calcul the mask position with numpy : 0.03532242774963379 nb_pixel_total : 2850 time to create 1 rle with old method : 0.0033125877380371094 time for calcul the mask position with numpy : 0.03852653503417969 nb_pixel_total : 61769 time to create 1 rle with old method : 0.07017636299133301 time for calcul the mask position with numpy : 0.03667163848876953 nb_pixel_total : 20682 time to create 1 rle with old method : 0.023595571517944336 time for calcul the mask position with numpy : 0.035108327865600586 nb_pixel_total : 28970 time to create 1 rle with old method : 0.032944440841674805 time for calcul the mask position with numpy : 0.03507876396179199 nb_pixel_total : 1906 time to create 1 rle with old method : 0.0023546218872070312 time for calcul the mask position with numpy : 0.03687000274658203 nb_pixel_total : 6328 time to create 1 rle with old method : 0.00744175910949707 time for calcul the mask position with numpy : 0.035845279693603516 nb_pixel_total : 21152 time to create 1 rle with old method : 0.023881912231445312 time for calcul the mask position with numpy : 0.034758806228637695 nb_pixel_total : 9821 time to create 1 rle with old method : 0.011171817779541016 create new chi : 8.620529651641846 time to delete rle : 0.005632877349853516 batch 1 Loaded 111 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 24992 TO DO : save crop sub photo not yet done ! save time : 1.6033868789672852 nb_obj : 51 nb_hashtags : 3 time to prepare the origin masks : 4.7361180782318115 time for calcul the mask position with numpy : 0.42476725578308105 nb_pixel_total : 6323134 time to create 1 rle with new method : 1.3223307132720947 time for calcul the mask position with numpy : 0.03347015380859375 nb_pixel_total : 12050 time to create 1 rle with old method : 0.012854814529418945 time for calcul the mask position with numpy : 0.034732818603515625 nb_pixel_total : 28520 time to create 1 rle with old method : 0.03369593620300293 time for calcul the mask position with numpy : 0.03589606285095215 nb_pixel_total : 92405 time to create 1 rle with old method : 0.10437130928039551 time for calcul the mask position with numpy : 0.03581666946411133 nb_pixel_total : 76449 time to create 1 rle with old method : 0.0852499008178711 time for calcul the mask position with numpy : 0.034657955169677734 nb_pixel_total : 41178 time to create 1 rle with old method : 0.04562115669250488 time for calcul the mask position with numpy : 0.035196781158447266 nb_pixel_total : 40862 time to create 1 rle with old method : 0.046541690826416016 time for calcul the mask position with numpy : 0.03503298759460449 nb_pixel_total : 24081 time to create 1 rle with old method : 0.026512861251831055 time for calcul the mask position with numpy : 0.0333247184753418 nb_pixel_total : 8637 time to create 1 rle with old method : 0.009796380996704102 time for calcul the mask position with numpy : 0.03389096260070801 nb_pixel_total : 22239 time to create 1 rle with old method : 0.024984121322631836 time for calcul the mask position with numpy : 0.03429579734802246 nb_pixel_total : 45913 time to create 1 rle with old method : 0.05014395713806152 time for calcul the mask position with numpy : 0.034009456634521484 nb_pixel_total : 13882 time to create 1 rle with old method : 0.01511073112487793 time for calcul the mask position with numpy : 0.033808231353759766 nb_pixel_total : 47706 time to create 1 rle with old method : 0.05166816711425781 time for calcul the mask position with numpy : 0.033730268478393555 nb_pixel_total : 15048 time to create 1 rle with old method : 0.01694941520690918 time for calcul the mask position with numpy : 0.03276681900024414 nb_pixel_total : 20815 time to create 1 rle with old method : 0.022633075714111328 time for calcul the mask position with numpy : 0.0335392951965332 nb_pixel_total : 25848 time to create 1 rle with old method : 0.042337894439697266 time for calcul the mask position with numpy : 0.03916811943054199 nb_pixel_total : 12478 time to create 1 rle with old method : 0.014564752578735352 time for calcul the mask position with numpy : 0.035881996154785156 nb_pixel_total : 104351 time to create 1 rle with old method : 0.11779570579528809 time for calcul the mask position with numpy : 0.03522014617919922 nb_pixel_total : 14226 time to create 1 rle with old method : 0.016064882278442383 time for calcul the mask position with numpy : 0.034522056579589844 nb_pixel_total : 29885 time to create 1 rle with old method : 0.0331883430480957 time for calcul the mask position with numpy : 0.035064697265625 nb_pixel_total : 40827 time to create 1 rle with old method : 0.04597616195678711 time for calcul the mask position with numpy : 0.035466670989990234 nb_pixel_total : 72526 time to create 1 rle with old method : 0.08069300651550293 time for calcul the mask position with numpy : 0.03617143630981445 nb_pixel_total : 44720 time to create 1 rle with old method : 0.04892277717590332 time for calcul the mask position with numpy : 0.03413701057434082 nb_pixel_total : 80951 time to create 1 rle with old method : 0.0891413688659668 time for calcul the mask position with numpy : 0.034687042236328125 nb_pixel_total : 49090 time to create 1 rle with old method : 0.05420327186584473 time for calcul the mask position with numpy : 0.033514976501464844 nb_pixel_total : 17142 time to create 1 rle with old method : 0.01898050308227539 time for calcul the mask position with numpy : 0.03941822052001953 nb_pixel_total : 74821 time to create 1 rle with old method : 0.09005856513977051 time for calcul the mask position with numpy : 0.03992581367492676 nb_pixel_total : 23069 time to create 1 rle with old method : 0.03282928466796875 time for calcul the mask position with numpy : 0.03575563430786133 nb_pixel_total : 74171 time to create 1 rle with old method : 0.0857083797454834 time for calcul the mask position with numpy : 0.03597116470336914 nb_pixel_total : 74627 time to create 1 rle with old method : 0.08508110046386719 time for calcul the mask position with numpy : 0.035446882247924805 nb_pixel_total : 19343 time to create 1 rle with old method : 0.023525714874267578 time for calcul the mask position with numpy : 0.035833120346069336 nb_pixel_total : 43700 time to create 1 rle with old method : 0.04916715621948242 time for calcul the mask position with numpy : 0.03531765937805176 nb_pixel_total : 8414 time to create 1 rle with old method : 0.00955510139465332 time for calcul the mask position with numpy : 0.03551983833312988 nb_pixel_total : 50039 time to create 1 rle with old method : 0.056620121002197266 time for calcul the mask position with numpy : 0.036241769790649414 nb_pixel_total : 36366 time to create 1 rle with old method : 0.04445981979370117 time for calcul the mask position with numpy : 0.03751063346862793 nb_pixel_total : 75216 time to create 1 rle with old method : 0.08583831787109375 time for calcul the mask position with numpy : 0.03428983688354492 nb_pixel_total : 15204 time to create 1 rle with old method : 0.016840457916259766 time for calcul the mask position with numpy : 0.03406977653503418 nb_pixel_total : 5476 time to create 1 rle with old method : 0.006160259246826172 time for calcul the mask position with numpy : 0.03387928009033203 nb_pixel_total : 16243 time to create 1 rle with old method : 0.018089771270751953 time for calcul the mask position with numpy : 0.036394596099853516 nb_pixel_total : 79942 time to create 1 rle with old method : 0.09019708633422852 time for calcul the mask position with numpy : 0.03434276580810547 nb_pixel_total : 8539 time to create 1 rle with old method : 0.009683847427368164 time for calcul the mask position with numpy : 0.03420877456665039 nb_pixel_total : 10279 time to create 1 rle with old method : 0.011569738388061523 time for calcul the mask position with numpy : 0.03428292274475098 nb_pixel_total : 10665 time to create 1 rle with old method : 0.011996984481811523 time for calcul the mask position with numpy : 0.034393310546875 nb_pixel_total : 2398 time to create 1 rle with old method : 0.002836942672729492 time for calcul the mask position with numpy : 0.034371376037597656 nb_pixel_total : 43924 time to create 1 rle with old method : 0.05695819854736328 time for calcul the mask position with numpy : 0.03696560859680176 nb_pixel_total : 85092 time to create 1 rle with old method : 0.1113884449005127 time for calcul the mask position with numpy : 0.033711910247802734 nb_pixel_total : 36309 time to create 1 rle with old method : 0.04013824462890625 time for calcul the mask position with numpy : 0.03391313552856445 nb_pixel_total : 137936 time to create 1 rle with old method : 0.14994168281555176 time for calcul the mask position with numpy : 0.033315181732177734 nb_pixel_total : 6774 time to create 1 rle with old method : 0.0075032711029052734 time for calcul the mask position with numpy : 0.03331255912780762 nb_pixel_total : 5216 time to create 1 rle with old method : 0.005598545074462891 time for calcul the mask position with numpy : 0.03344321250915527 nb_pixel_total : 35570 time to create 1 rle with old method : 0.04001283645629883 time for calcul the mask position with numpy : 0.03399825096130371 nb_pixel_total : 10104 time to create 1 rle with old method : 0.011304140090942383 create new chi : 5.835662841796875 time to delete rle : 0.0036318302154541016 batch 1 Loaded 103 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 26519 TO DO : save crop sub photo not yet done ! save time : 1.6582536697387695 nb_obj : 65 nb_hashtags : 2 time to prepare the origin masks : 5.167765140533447 time for calcul the mask position with numpy : 0.7826540470123291 nb_pixel_total : 6012038 time to create 1 rle with new method : 1.1258692741394043 time for calcul the mask position with numpy : 0.0324556827545166 nb_pixel_total : 16884 time to create 1 rle with old method : 0.01804065704345703 time for calcul the mask position with numpy : 0.03221416473388672 nb_pixel_total : 5483 time to create 1 rle with old method : 0.005833625793457031 time for calcul the mask position with numpy : 0.03285503387451172 nb_pixel_total : 4981 time to create 1 rle with old method : 0.005927085876464844 time for calcul the mask position with numpy : 0.032619476318359375 nb_pixel_total : 37157 time to create 1 rle with old method : 0.03957009315490723 time for calcul the mask position with numpy : 0.04040408134460449 nb_pixel_total : 26461 time to create 1 rle with old method : 0.028578519821166992 time for calcul the mask position with numpy : 0.0328371524810791 nb_pixel_total : 42094 time to create 1 rle with old method : 0.05207657814025879 time for calcul the mask position with numpy : 0.032593727111816406 nb_pixel_total : 20085 time to create 1 rle with old method : 0.021994829177856445 time for calcul the mask position with numpy : 0.03268575668334961 nb_pixel_total : 75104 time to create 1 rle with old method : 0.08471274375915527 time for calcul the mask position with numpy : 0.0349879264831543 nb_pixel_total : 31832 time to create 1 rle with old method : 0.03452301025390625 time for calcul the mask position with numpy : 0.03211236000061035 nb_pixel_total : 10646 time to create 1 rle with old method : 0.011576652526855469 time for calcul the mask position with numpy : 0.03219413757324219 nb_pixel_total : 11583 time to create 1 rle with old method : 0.01281428337097168 time for calcul the mask position with numpy : 0.03455781936645508 nb_pixel_total : 15612 time to create 1 rle with old method : 0.017693281173706055 time for calcul the mask position with numpy : 0.03436732292175293 nb_pixel_total : 16113 time to create 1 rle with old method : 0.01792597770690918 time for calcul the mask position with numpy : 0.03356575965881348 nb_pixel_total : 92962 time to create 1 rle with old method : 0.10366177558898926 time for calcul the mask position with numpy : 0.045954227447509766 nb_pixel_total : 27819 time to create 1 rle with old method : 0.031590938568115234 time for calcul the mask position with numpy : 0.0380101203918457 nb_pixel_total : 5204 time to create 1 rle with old method : 0.005621194839477539 time for calcul the mask position with numpy : 0.04372763633728027 nb_pixel_total : 59272 time to create 1 rle with old method : 0.0636754035949707 time for calcul the mask position with numpy : 0.050839900970458984 nb_pixel_total : 30220 time to create 1 rle with old method : 0.03277587890625 time for calcul the mask position with numpy : 0.04243016242980957 nb_pixel_total : 28403 time to create 1 rle with old method : 0.03100895881652832 time for calcul the mask position with numpy : 0.037702322006225586 nb_pixel_total : 57643 time to create 1 rle with old method : 0.06139564514160156 time for calcul the mask position with numpy : 0.03776717185974121 nb_pixel_total : 73541 time to create 1 rle with old method : 0.08031296730041504 time for calcul the mask position with numpy : 0.033567190170288086 nb_pixel_total : 81913 time to create 1 rle with old method : 0.08934712409973145 time for calcul the mask position with numpy : 0.04544353485107422 nb_pixel_total : 74645 time to create 1 rle with old method : 0.08007049560546875 time for calcul the mask position with numpy : 0.03809404373168945 nb_pixel_total : 117615 time to create 1 rle with old method : 0.13016343116760254 time for calcul the mask position with numpy : 0.03371286392211914 nb_pixel_total : 30806 time to create 1 rle with old method : 0.03408050537109375 time for calcul the mask position with numpy : 0.042153358459472656 nb_pixel_total : 21724 time to create 1 rle with old method : 0.023452281951904297 time for calcul the mask position with numpy : 0.036772966384887695 nb_pixel_total : 11096 time to create 1 rle with old method : 0.012447595596313477 time for calcul the mask position with numpy : 0.03274989128112793 nb_pixel_total : 36890 time to create 1 rle with old method : 0.03953814506530762 time for calcul the mask position with numpy : 0.03270912170410156 nb_pixel_total : 83286 time to create 1 rle with old method : 0.08974647521972656 time for calcul the mask position with numpy : 0.0320131778717041 nb_pixel_total : 36598 time to create 1 rle with old method : 0.037734270095825195 time for calcul the mask position with numpy : 0.03261065483093262 nb_pixel_total : 65429 time to create 1 rle with old method : 0.06910014152526855 time for calcul the mask position with numpy : 0.03387594223022461 nb_pixel_total : 34691 time to create 1 rle with old method : 0.03747868537902832 time for calcul the mask position with numpy : 0.03197526931762695 nb_pixel_total : 41345 time to create 1 rle with old method : 0.04410600662231445 time for calcul the mask position with numpy : 0.032276153564453125 nb_pixel_total : 38372 time to create 1 rle with old method : 0.04058432579040527 time for calcul the mask position with numpy : 0.03205156326293945 nb_pixel_total : 42260 time to create 1 rle with old method : 0.045232534408569336 time for calcul the mask position with numpy : 0.032007694244384766 nb_pixel_total : 34157 time to create 1 rle with old method : 0.03605222702026367 time for calcul the mask position with numpy : 0.031702280044555664 nb_pixel_total : 1661 time to create 1 rle with old method : 0.0020949840545654297 time for calcul the mask position with numpy : 0.03213334083557129 nb_pixel_total : 45997 time to create 1 rle with old method : 0.048551321029663086 time for calcul the mask position with numpy : 0.03195548057556152 nb_pixel_total : 10090 time to create 1 rle with old method : 0.010590076446533203 time for calcul the mask position with numpy : 0.032242774963378906 nb_pixel_total : 28165 time to create 1 rle with old method : 0.030052900314331055 time for calcul the mask position with numpy : 0.031734466552734375 nb_pixel_total : 36303 time to create 1 rle with old method : 0.03839588165283203 time for calcul the mask position with numpy : 0.03159809112548828 nb_pixel_total : 32765 time to create 1 rle with old method : 0.03407168388366699 time for calcul the mask position with numpy : 0.03282737731933594 nb_pixel_total : 10576 time to create 1 rle with old method : 0.011193037033081055 time for calcul the mask position with numpy : 0.03248238563537598 nb_pixel_total : 20882 time to create 1 rle with old method : 0.021620750427246094 time for calcul the mask position with numpy : 0.031246185302734375 nb_pixel_total : 45153 time to create 1 rle with old method : 0.04929208755493164 time for calcul the mask position with numpy : 0.03247547149658203 nb_pixel_total : 55881 time to create 1 rle with old method : 0.05866718292236328 time for calcul the mask position with numpy : 0.032442331314086914 nb_pixel_total : 53872 time to create 1 rle with old method : 0.05678296089172363 time for calcul the mask position with numpy : 0.03294730186462402 nb_pixel_total : 6409 time to create 1 rle with old method : 0.006690263748168945 time for calcul the mask position with numpy : 0.03260016441345215 nb_pixel_total : 29379 time to create 1 rle with old method : 0.03093886375427246 time for calcul the mask position with numpy : 0.03178524971008301 nb_pixel_total : 19458 time to create 1 rle with old method : 0.02092766761779785 time for calcul the mask position with numpy : 0.033118486404418945 nb_pixel_total : 96827 time to create 1 rle with old method : 0.10449051856994629 time for calcul the mask position with numpy : 0.034584760665893555 nb_pixel_total : 32215 time to create 1 rle with old method : 0.04187607765197754 time for calcul the mask position with numpy : 0.03365778923034668 nb_pixel_total : 31442 time to create 1 rle with old method : 0.04760479927062988 time for calcul the mask position with numpy : 0.0343320369720459 nb_pixel_total : 23141 time to create 1 rle with old method : 0.0262148380279541 time for calcul the mask position with numpy : 0.0342717170715332 nb_pixel_total : 8120 time to create 1 rle with old method : 0.009140729904174805 time for calcul the mask position with numpy : 0.0327153205871582 nb_pixel_total : 12187 time to create 1 rle with old method : 0.013369321823120117 time for calcul the mask position with numpy : 0.032312631607055664 nb_pixel_total : 22554 time to create 1 rle with old method : 0.0239410400390625 time for calcul the mask position with numpy : 0.03288626670837402 nb_pixel_total : 26976 time to create 1 rle with old method : 0.02914714813232422 time for calcul the mask position with numpy : 0.0331883430480957 nb_pixel_total : 62913 time to create 1 rle with old method : 0.06771659851074219 time for calcul the mask position with numpy : 0.03296971321105957 nb_pixel_total : 19503 time to create 1 rle with old method : 0.02091503143310547 time for calcul the mask position with numpy : 0.03382158279418945 nb_pixel_total : 22520 time to create 1 rle with old method : 0.024995803833007812 time for calcul the mask position with numpy : 0.03417491912841797 nb_pixel_total : 34717 time to create 1 rle with old method : 0.037548065185546875 time for calcul the mask position with numpy : 0.03296399116516113 nb_pixel_total : 14220 time to create 1 rle with old method : 0.01540064811706543 time for calcul the mask position with numpy : 0.03261709213256836 nb_pixel_total : 23974 time to create 1 rle with old method : 0.0257413387298584 time for calcul the mask position with numpy : 0.03231501579284668 nb_pixel_total : 14536 time to create 1 rle with old method : 0.015635013580322266 create new chi : 6.684262990951538 time to delete rle : 0.0050106048583984375 batch 1 Loaded 131 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 34473 TO DO : save crop sub photo not yet done ! save time : 2.1518237590789795 map_output_result : {1408385598: (0.0, 'Should be the crop_list due to order', 0), 1408385030: (0.0, 'Should be the crop_list due to order', 0), 1408384992: (0.0, 'Should be the crop_list due to order', 0), 1408384954: (0.0, 'Should be the crop_list due to order', 0), 1408384916: (0.0, 'Should be the crop_list due to order', 0), 1408384903: (0.0, 'Should be the crop_list due to order', 0), 1408384473: (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 [1408385598, 1408385030, 1408384992, 1408384954, 1408384916, 1408384903, 1408384473] Looping around the photos to save general results len do output : 7 /1408385598.Didn't retrieve data . /1408385030.Didn't retrieve data . /1408384992.Didn't retrieve data . /1408384954.Didn't retrieve data . /1408384916.Didn't retrieve data . /1408384903.Didn't retrieve data . /1408384473.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, '4344820') ('3318', '30413755', '1408385598', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408385030', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384992', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384954', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384916', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384903', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384473', None, None, None, None, None, '4344820') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 21 time used for this insertion : 0.022417068481445312 save_final save missing photos in datou_result : time spend for datou_step_exec : 100.53144359588623 time spend to save output : 0.02596449851989746 total time spend for step 3 : 100.55740809440613 step4:ventilate_hashtags_in_portfolio Mon Feb 16 14:18:56 2026 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 : 30413755 get user id for portfolio 30413755 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`=30413755 AND mptpi.`type`=3594 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('pet_clair','metal','pet_fonce','pehd','mal_croppe','flou','autre','background','papier','carton','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`=30413755 AND mptpi.`type`=3594 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('pet_clair','metal','pet_fonce','pehd','mal_croppe','flou','autre','background','papier','carton','environnement')) AND mptpi.`min_score`=0.5 To do Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") 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`=30413755 AND mptpi.`type`=3594 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('pet_clair','metal','pet_fonce','pehd','mal_croppe','flou','autre','background','papier','carton','environnement')) AND mptpi.`min_score`=0.5 To do lien utilise dans velours : https://marlene.fotonower.com/velours/30414046,30414047,30414048,30414049,30414050,30414051,30414052,30414053,30414054,30414055,30414056?tags=pet_clair,metal,pet_fonce,pehd,mal_croppe,flou,autre,background,papier,carton,environnement Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral [1408385598, 1408385030, 1408384992, 1408384954, 1408384916, 1408384903, 1408384473] Looping around the photos to save general results len do output : 1 /30413755. 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, '4344820') ('3318', '30413755', '1408385598', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408385030', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384992', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384954', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384916', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384903', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384473', None, None, None, None, None, '4344820') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 8 time used for this insertion : 0.019483566284179688 save_final save missing photos in datou_result : time spend for datou_step_exec : 2.059237480163574 time spend to save output : 0.01974630355834961 total time spend for step 4 : 2.078983783721924 step5:final Mon Feb 16 14:18:58 2026 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 : {1408385598: ('0.2412126253858024',), 1408385030: ('0.2412126253858024',), 1408384992: ('0.2412126253858024',), 1408384954: ('0.2412126253858024',), 1408384916: ('0.2412126253858024',), 1408384903: ('0.2412126253858024',), 1408384473: ('0.2412126253858024',)} new output for save of step final : {1408385598: ('0.2412126253858024',), 1408385030: ('0.2412126253858024',), 1408384992: ('0.2412126253858024',), 1408384954: ('0.2412126253858024',), 1408384916: ('0.2412126253858024',), 1408384903: ('0.2412126253858024',), 1408384473: ('0.2412126253858024',)} [1408385598, 1408385030, 1408384992, 1408384954, 1408384916, 1408384903, 1408384473] Looping around the photos to save general results len do output : 7 /1408385598.Didn't retrieve data . /1408385030.Didn't retrieve data . /1408384992.Didn't retrieve data . /1408384954.Didn't retrieve data . /1408384916.Didn't retrieve data . /1408384903.Didn't retrieve data . /1408384473.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, '4344820') ('3318', '30413755', '1408385598', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408385030', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384992', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384954', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384916', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384903', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384473', None, None, None, None, None, '4344820') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 21 time used for this insertion : 0.01715540885925293 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.16499018669128418 time spend to save output : 0.01766228675842285 total time spend for step 5 : 0.18265247344970703 step6:blur_detection Mon Feb 16 14:18:58 2026 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/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6.jpg resize: (2160, 3840) 1408385598 -4.032775053917263 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2.jpg resize: (2160, 3840) 1408385030 -5.251022613157521 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee.jpg resize: (2160, 3840) 1408384992 -4.940704323483338 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7.jpg resize: (2160, 3840) 1408384954 -5.211914146196401 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796.jpg resize: (2160, 3840) 1408384916 -4.88102129853651 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9.jpg resize: (2160, 3840) 1408384903 -5.097002599443283 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888.jpg resize: (2160, 3840) 1408384473 -4.878336360596663 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057724_0.png resize: (175, 211) 1408402136 -3.8279859201878854 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057736_0.png resize: (323, 189) 1408402137 -2.8495003372432928 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057755_0.png resize: (225, 118) 1408402138 -2.5993627145762512 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057753_0.png resize: (259, 172) 1408402139 -2.4419545181855584 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057771_0.png resize: (125, 239) 1408402140 -2.5181688010534877 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057768_0.png resize: (110, 102) 1408402141 -2.8330536833191355 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057718_0.png resize: (186, 187) 1408402142 -3.2052103055921455 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057744_0.png resize: (401, 247) 1408402143 -1.8002126318168907 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057731_0.png resize: (300, 656) 1408402144 -4.493561535532038 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057727_0.png resize: (280, 289) 1408402145 -1.9937415453344018 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057729_0.png resize: (233, 275) 1408402146 -1.8162643348313028 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057748_0.png resize: (259, 455) 1408402147 -3.442408439044767 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057726_0.png resize: (202, 311) 1408402148 -4.084357959846823 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057740_0.png resize: (140, 181) 1408402149 -2.780657248066127 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057730_0.png resize: (235, 344) 1408402150 -3.1396561038193607 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057722_0.png resize: (333, 449) 1408402151 -3.689357114624515 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057716_0.png resize: (280, 192) 1408402152 -4.7692511061750285 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057728_0.png resize: (211, 530) 1408402153 -3.475354764740809 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057733_0.png resize: (136, 144) 1408402154 -3.192322947180016 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057769_0.png resize: (499, 797) 1408402155 -2.5094582633725033 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057734_0.png resize: (169, 146) 1408402156 -3.1687185456473426 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057721_0.png resize: (522, 468) 1408402157 -3.466096772053131 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057774_0.png resize: (103, 125) 1408402158 -3.6949641972284977 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057761_0.png resize: (134, 195) 1408402159 -4.224164355045049 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057757_0.png resize: (125, 246) 1408402160 -2.6538652669800205 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057746_0.png resize: (187, 130) 1408402161 -2.890066238168301 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057720_0.png resize: (328, 439) 1408402162 -2.809635756145186 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057772_0.png resize: (247, 97) 1408402163 -2.899702024027359 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057742_0.png resize: (104, 148) 1408402164 0.7974772624342077 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057773_0.png resize: (462, 425) 1408402165 -2.2108111112074185 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057747_0.png resize: (241, 361) 1408402166 -3.310127926929829 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057719_0.png resize: (130, 163) 1408402167 -4.35994256100339 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057770_0.png resize: (125, 115) 1408402168 -2.727869863401744 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057766_0.png resize: (322, 364) 1408402169 -3.7132642698720844 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057756_0.png resize: (279, 118) 1408402170 -2.655485805974018 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057751_0.png resize: (146, 173) 1408402171 -0.38282338943806316 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057749_0.png resize: (190, 198) 1408402172 -2.753166380891584 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057767_0.png resize: (181, 194) 1408402173 -2.2614020836636226 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057758_0.png resize: (195, 122) 1408402174 -2.6011965288414483 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057737_0.png resize: (117, 106) 1408402175 -3.0347843816159656 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057759_0.png resize: (214, 245) 1408402176 -2.3464628705614414 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057735_0.png resize: (195, 166) 1408402177 -4.206995306268854 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057723_0.png resize: (156, 146) 1408402178 -3.0751082402636025 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057732_0.png resize: (189, 143) 1408402179 -2.2753224693972762 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057789_0.png resize: (767, 449) 1408402180 -4.3398630794097945 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057799_0.png resize: (284, 403) 1408402181 -4.401312294036783 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057818_0.png resize: (465, 462) 1408402182 -4.096363743142933 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057843_0.png resize: (171, 342) 1408402183 -4.287840183553921 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057837_0.png resize: (262, 267) 1408402184 -3.717177193363972 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057835_0.png resize: (151, 197) 1408402185 -3.9120424265360456 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057819_0.png resize: (177, 108) 1408402186 -4.099890295309955 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057821_0.png resize: (77, 118) 1408402187 -3.695004192419912 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057783_0.png resize: (193, 121) 1408402188 -4.782462404236984 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057810_0.png resize: (222, 110) 1408402189 -4.1602606633700265 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057823_0.png resize: (151, 101) 1408402190 -3.9234173990752494 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057845_0.png resize: (162, 171) 1408402191 -4.293247753733744 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057797_0.png resize: (151, 114) 1408402192 -3.9404450869266294 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057793_0.png resize: (174, 160) 1408402193 -2.117304948720638 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057844_0.png resize: (362, 315) 1408402194 -3.642565512666335 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057824_0.png resize: (180, 269) 1408402195 -4.675477661496782 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057805_0.png resize: (196, 203) 1408402196 -4.3379398536078755 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057842_0.png resize: (206, 225) 1408402197 -3.281790439729508 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057801_0.png resize: (138, 156) 1408402198 -3.629436930230143 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057829_0.png resize: (144, 77) 1408402199 -3.219912876957545 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057827_0.png resize: (215, 133) 1408402200 -5.193924933731934 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057792_0.png resize: (190, 318) 1408402201 -3.9006507330922213 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057788_0.png resize: (217, 165) 1408402202 -2.80181743891652 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057815_0.png resize: (297, 190) 1408402203 -3.53033038177458 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057834_0.png resize: (215, 229) 1408402204 -3.376242572589669 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057808_0.png resize: (160, 138) 1408402205 -1.584885787401981 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057826_0.png resize: (84, 121) 1408402206 -1.7971422161497954 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057830_0.png resize: (229, 220) 1408402207 -3.3438229033054214 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057825_0.png resize: (194, 192) 1408402208 -3.130639916238161 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057832_0.png resize: (359, 272) 1408402209 -3.3767856151118503 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057782_0.png resize: (184, 130) 1408402210 -2.519804767715881 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057839_0.png resize: (734, 589) 1408402211 -3.4604057189694846 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057803_0.png resize: (155, 160) 1408402212 -2.211962845172824 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057831_0.png resize: (122, 103) 1408402213 -2.973320677764878 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057777_0.png resize: (163, 178) 1408402214 -2.6769504196682243 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057802_0.png resize: (148, 165) 1408402215 -4.08076826579935 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057785_0.png resize: (155, 124) 1408402216 -2.0906648324155075 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057791_0.png resize: (176, 121) 1408402217 -1.3595709791164594 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057809_0.png resize: (264, 180) 1408402218 -3.5346822754520417 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057794_0.png resize: (97, 86) 1408402219 -1.5442210923651223 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057838_0.png resize: (94, 65) 1408402220 -2.421434981739086 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057795_0.png resize: (203, 179) 1408402221 -3.334414295856589 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057820_0.png resize: (93, 118) 1408402222 -4.437986341321052 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057800_0.png resize: (74, 88) 1408402223 -3.6267316490171515 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057784_0.png resize: (141, 105) 1408402224 -2.4919289366068247 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057807_0.png resize: (111, 82) 1408402225 -3.5143362474491218 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057786_0.png resize: (87, 72) 1408402226 -2.634889452725668 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057798_0.png resize: (163, 226) 1408402227 -2.1403149029973814 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057780_0.png resize: (137, 77) 1408402228 -2.3661939427262455 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057806_0.png resize: (250, 138) 1408402229 -2.872382143962689 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057817_0.png resize: (74, 74) 1408402230 -2.6154532678433062 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057779_0.png resize: (117, 118) 1408402231 -2.6172506938428928 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057828_0.png resize: (106, 103) 1408402232 -1.2568051916689116 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057833_0.png resize: (81, 125) 1408402233 -0.611300184644064 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057822_0.png resize: (417, 104) 1408402234 -2.094336757211154 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057858_0.png resize: (559, 276) 1408402235 -2.4905899425291533 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057853_0.png resize: (291, 115) 1408402236 -2.794111885630356 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057879_0.png resize: (243, 139) 1408402237 -2.801014181553447 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057882_0.png resize: (244, 308) 1408402238 -3.4610992641923337 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057855_0.png resize: (239, 204) 1408402239 -1.1170081694975424 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057876_0.png resize: (183, 186) 1408402240 -2.87865706235738 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057888_0.png resize: (228, 171) 1408402241 -3.577852817648864 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057863_0.png resize: (350, 422) 1408402242 -4.243080189815197 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057870_0.png resize: (220, 153) 1408402243 -3.185235175020326 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057866_0.png resize: (149, 240) 1408402244 -4.911463347911719 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057859_0.png resize: (220, 382) 1408402245 -3.9000224765798253 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057856_0.png resize: (209, 226) 1408402246 -1.901317004317168 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057886_0.png resize: (141, 140) 1408402247 -2.9866609893225298 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057871_0.png resize: (485, 467) 1408402248 -3.1490600201854364 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057854_0.png resize: (275, 241) 1408402249 -3.0276294520244083 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057874_0.png resize: (102, 122) 1408402250 -1.6745248150637309 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057849_0.png resize: (109, 165) 1408402251 -2.7740038201047703 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057880_0.png resize: (156, 184) 1408402252 -4.222205956803923 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057850_0.png resize: (105, 194) 1408402253 -2.8194816992778717 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057885_0.png resize: (134, 99) 1408402254 -2.397680087651493 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057881_0.png resize: (203, 203) 1408402255 -2.7262037263533547 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057889_0.png resize: (91, 174) 1408402256 -0.35886140760122603 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057864_0.png resize: (88, 166) 1408402257 -1.0949809717220809 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057883_0.png resize: (239, 231) 1408402258 -2.890730030922591 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057862_0.png resize: (277, 127) 1408402259 -3.4266419441410063 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057868_0.png resize: (212, 212) 1408402260 -4.5649436531654155 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057865_0.png resize: (289, 271) 1408402261 -4.156500608378589 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057890_0.png resize: (198, 121) 1408402262 -3.5859328345174566 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057875_0.png resize: (240, 314) 1408402263 -3.83056870437211 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057873_0.png resize: (247, 311) 1408402264 -3.182959187926051 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057848_0.png resize: (409, 181) 1408402265 -3.5965721925981646 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057877_0.png resize: (105, 81) 1408402266 -1.7386718587205878 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057869_0.png resize: (249, 308) 1408402267 -2.285427836083629 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057891_0.png resize: (91, 44) 1408402268 -0.6770987997388173 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057860_0.png resize: (159, 152) 1408402269 -3.572153961198285 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057857_0.png resize: (278, 422) 1408402270 -4.123436873415683 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057884_0.png resize: (218, 189) 1408402271 -3.0406394843981848 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057861_0.png resize: (190, 141) 1408402272 -2.749355112571163 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057887_0.png resize: (120, 85) 1408402273 1.7415691241206634 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057847_0.png resize: (193, 267) 1408402274 -2.266249998603651 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057872_0.png resize: (128, 145) 1408402275 -1.1728106883125846 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057903_0.png resize: (740, 779) 1408402276 -2.2479099234668847 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057908_0.png resize: (415, 398) 1408402277 -3.175646230263243 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057918_0.png resize: (343, 340) 1408402278 -3.9010115267567516 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057932_0.png resize: (331, 208) 1408402279 -2.6926432042891166 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057941_0.png resize: (139, 262) 1408402280 -3.2669590455512276 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057924_0.png resize: (217, 330) 1408402281 -3.1818144329834444 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057905_0.png resize: (263, 264) 1408402282 -3.8753332489843495 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057917_0.png resize: (178, 271) 1408402283 -2.951951336458797 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057936_0.png resize: (218, 305) 1408402284 -2.7941215350090274 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057913_0.png resize: (182, 390) 1408402285 -3.686363614166547 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057930_0.png resize: (430, 208) 1408402286 -1.915345441937439 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057916_0.png resize: (86, 206) 1408402287 -1.4083088659126957 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057927_0.png resize: (229, 196) 1408402288 -2.243039148775393 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057929_0.png resize: (295, 304) 1408402289 -2.5572917110182076 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057934_0.png resize: (273, 464) 1408402290 -2.877440672283765 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057910_0.png resize: (231, 160) 1408402291 -3.2605527598548467 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057937_0.png resize: (124, 154) 1408402292 -1.7429441943968755 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057912_0.png resize: (328, 250) 1408402293 -4.174272692805885 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057928_0.png resize: (172, 194) 1408402294 -2.9608281638247878 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057915_0.png resize: (482, 519) 1408402295 -2.983208822830706 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057911_0.png resize: (122, 234) 1408402296 -4.23260741529375 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057942_0.png resize: (123, 98) 1408402297 -2.272185363088955 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057935_0.png resize: (238, 164) 1408402298 -2.4810893350116525 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057902_0.png resize: (269, 567) 1408402299 -4.488582183506589 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057914_0.png resize: (291, 264) 1408402300 -4.249386773583947 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057926_0.png resize: (280, 274) 1408402301 -3.4622073280469827 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057898_0.png resize: (123, 220) 1408402302 -3.4489535622902148 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057900_0.png resize: (181, 207) 1408402303 -4.6499586857727015 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057907_0.png resize: (99, 152) 1408402304 -3.4022114428562227 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057901_0.png resize: (395, 312) 1408402305 -3.438533225041753 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057921_0.png resize: (235, 346) 1408402306 -3.234700254841688 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057931_0.png resize: (115, 120) 1408402307 -3.254611777268668 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057899_0.png resize: (262, 242) 1408402308 -3.8151805480322243 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057943_0.png resize: (262, 239) 1408402309 -4.83960110559389 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057896_0.png resize: (308, 211) 1408402310 -2.951162516730984 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057922_0.png resize: (128, 185) 1408402311 -3.0475288448580606 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057923_0.png resize: (105, 69) 1408402312 -1.268978072640207 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057909_0.png resize: (95, 154) 1408402313 -2.0575188105800395 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057904_0.png resize: (266, 108) 1408402314 -3.1689206149329547 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057894_0.png resize: (311, 224) 1408402315 -3.0514098131195273 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057949_0.png resize: (927, 287) 1408402316 -3.8362094583370636 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057981_0.png resize: (133, 160) 1408402317 -2.0845652381438935 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057986_0.png resize: (186, 224) 1408402318 -3.6936994495998796 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057961_0.png resize: (214, 284) 1408402319 -3.8087071535445856 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057962_0.png resize: (158, 209) 1408402320 -3.1198329228539796 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057958_0.png resize: (174, 485) 1408402321 -4.035920417796756 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057948_0.png resize: (443, 528) 1408402322 -3.511764390739733 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057983_0.png resize: (155, 222) 1408402323 -1.0934510662836396 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057973_0.png resize: (118, 238) 1408402324 -2.72445589810993 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057978_0.png resize: (170, 276) 1408402325 -3.366526502307283 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057955_0.png resize: (161, 327) 1408402326 -3.901877905108686 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057950_0.png resize: (235, 174) 1408402327 -4.245821213136845 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057984_0.png resize: (165, 197) 1408402328 -3.1435429903181467 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057998_0.png resize: (138, 124) 1408402329 -2.543553243040546 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057990_0.png resize: (96, 82) 1408402330 -3.634047002587936 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057947_0.png resize: (232, 155) 1408402331 -4.0039884276563855 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057974_0.png resize: (230, 269) 1408402332 -3.1183874842987342 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057965_0.png resize: (140, 110) 1408402333 -3.4554782233990835 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057992_0.png resize: (126, 154) 1408402334 -1.6119441256869436 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057971_0.png resize: (109, 129) 1408402335 -3.899869369211074 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057976_0.png resize: (216, 178) 1408402336 -3.132212929580711 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057994_0.png resize: (127, 220) 1408402337 -3.2628315877184164 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057967_0.png resize: (215, 230) 1408402338 -4.2300824979882 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057982_0.png resize: (143, 179) 1408402339 -0.13721144466943003 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057985_0.png resize: (451, 507) 1408402340 -3.330136814644171 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057944_0.png resize: (246, 221) 1408402341 -2.0998312499894647 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057975_0.png resize: (293, 254) 1408402342 -2.6347430378045176 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057946_0.png resize: (195, 197) 1408402343 -3.629555731914553 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057959_0.png resize: (177, 301) 1408402344 -4.016302032655351 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057977_0.png resize: (147, 186) 1408402345 -2.9867134468043974 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057966_0.png resize: (231, 360) 1408402346 -3.032803158699382 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057953_0.png resize: (286, 343) 1408402347 -3.5189891275719636 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057968_0.png resize: (193, 240) 1408402348 -2.1784543359441306 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057980_0.png resize: (162, 141) 1408402349 -2.584507937397282 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057969_0.png resize: (129, 102) 1408402350 -2.5175192414027703 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057952_0.png resize: (112, 87) 1408402351 -3.1055706629691464 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057951_0.png resize: (167, 197) 1408402352 -3.37809860014714 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057956_0.png resize: (530, 461) 1408402353 -2.1208388827998985 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057972_0.png resize: (181, 168) 1408402354 -2.806157765065487 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057987_0.png resize: (198, 383) 1408402355 -2.219486667738139 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057964_0.png resize: (94, 51) 1408402356 -0.6070579782509745 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057957_0.png resize: (113, 79) 1408402357 -2.224032054052708 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057997_0.png resize: (48, 56) 1408402358 -0.11451639582930462 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057988_0.png resize: (58, 58) 1408402359 2.0548352097488465 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057954_0.png resize: (308, 278) 1408402360 -2.498114958944972 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057989_0.png resize: (48, 79) 1408402361 -0.0711647702987326 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057993_0.png resize: (186, 110) 1408402362 -3.5305468951676966 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057945_0.png resize: (163, 122) 1408402363 -1.7455691135709357 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058008_0.png resize: (142, 208) 1408402364 -4.343504005295513 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058013_0.png resize: (275, 406) 1408402365 -3.2110425349481497 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058007_0.png resize: (304, 418) 1408402366 -2.776572028332904 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058002_0.png resize: (221, 673) 1408402367 -2.7608705928831987 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058022_0.png resize: (276, 468) 1408402368 -2.992465999899613 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058021_0.png resize: (214, 335) 1408402369 -4.04202489043644 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058040_0.png resize: (111, 177) 1408402370 -3.3052808380045593 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058026_0.png resize: (273, 96) 1408402371 -0.6589595465759758 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058049_0.png resize: (213, 182) 1408402372 -4.101464288164072 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058010_0.png resize: (123, 184) 1408402373 -4.4608098994914736 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058020_0.png resize: (257, 255) 1408402374 -2.2763134100026363 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058041_0.png resize: (310, 134) 1408402375 -4.179981351912227 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058004_0.png resize: (157, 146) 1408402376 -3.704528982157187 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058037_0.png resize: (121, 154) 1408402377 -3.913604141511715 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058019_0.png resize: (118, 122) 1408402378 -2.9567880979354597 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058025_0.png resize: (122, 64) 1408402379 -3.764294878469926 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058023_0.png resize: (314, 367) 1408402380 -3.7946864488797183 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058046_0.png resize: (180, 136) 1408402381 -3.812777198456356 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058012_0.png resize: (369, 408) 1408402382 -3.8674265964629675 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058028_0.png resize: (274, 432) 1408402383 -3.8696945989515856 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058038_0.png resize: (296, 282) 1408402385 -2.1114465154546167 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058000_0.png resize: (210, 308) 1408402386 -3.7030032633402854 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058030_0.png resize: (164, 187) 1408402387 -3.991252997445645 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058035_0.png resize: (104, 66) 1408402388 -0.9706927592105014 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058044_0.png resize: (225, 180) 1408402389 -3.1202931893516657 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058033_0.png resize: (125, 116) 1408402390 -3.391520430996683 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058027_0.png resize: (273, 176) 1408402391 -3.5552892424807987 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058042_0.png resize: (270, 252) 1408402392 -3.8584279245308557 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058032_0.png resize: (319, 187) 1408402393 -4.09736517797568 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058017_0.png resize: (134, 135) 1408402394 -2.395564337512968 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133057999_0.png resize: (110, 126) 1408402395 -2.71581068682436 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058015_0.png resize: (314, 471) 1408402396 -2.819981805144016 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058018_0.png resize: (131, 114) 1408402397 -3.417881681455598 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058036_0.png resize: (258, 287) 1408402398 -3.008597665691241 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058031_0.png resize: (109, 118) 1408402399 -2.2721038369826103 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058047_0.png resize: (164, 183) 1408402400 -2.5398922794005445 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058005_0.png resize: (244, 254) 1408402401 -3.9828913532078394 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058048_0.png resize: (103, 114) 1408402402 -2.062480221958095 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058016_0.png resize: (186, 344) 1408402403 -3.250962385613919 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058011_0.png resize: (151, 128) 1408402404 -2.505027367754957 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058014_0.png resize: (308, 331) 1408402405 -3.198373824676238 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058001_0.png resize: (361, 325) 1408402406 -3.104745030121789 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058073_0.png resize: (723, 732) 1408402407 -3.3153496232233617 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058093_0.png resize: (418, 401) 1408402408 -4.000819063639369 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058088_0.png resize: (198, 301) 1408402409 -3.625723589979802 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058051_0.png resize: (207, 280) 1408402410 -2.925277486766917 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058072_0.png resize: (228, 302) 1408402411 -3.4559837657795067 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058083_0.png resize: (255, 334) 1408402412 -3.851516211588247 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058055_0.png resize: (333, 385) 1408402413 -2.76383309097846 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058062_0.png resize: (237, 148) 1408402414 -4.074470565692348 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058096_0.png resize: (182, 214) 1408402415 -3.8138834442399316 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058085_0.png resize: (248, 287) 1408402416 -3.403107749477383 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058053_0.png resize: (193, 155) 1408402417 -2.6610899777765007 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058108_0.png resize: (148, 133) 1408402418 -1.6749254939316864 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058099_0.png resize: (223, 204) 1408402419 -4.326772402683026 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058079_0.png resize: (128, 138) 1408402420 -3.466061456214604 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058114_0.png resize: (75, 86) 1408402421 -1.6450521081310026 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058091_0.png resize: (180, 156) 1408402422 -3.8293590991169704 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058082_0.png resize: (184, 173) 1408402423 -3.1385771723962534 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058112_0.png resize: (201, 239) 1408402424 -5.099889558024553 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058064_0.png resize: (151, 115) 1408402425 -4.491329856088885 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058087_0.png resize: (285, 179) 1408402426 -3.530673826699216 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058078_0.png resize: (111, 154) 1408402427 -3.533790935966878 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058097_0.png resize: (181, 180) 1408402428 -4.214852042893704 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058070_0.png resize: (158, 212) 1408402429 -3.485850843486995 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058066_0.png resize: (115, 94) 1408402430 -3.026031009858048 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058075_0.png resize: (197, 269) 1408402431 -2.2901942545391845 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058086_0.png resize: (313, 140) 1408402432 -4.3374883018819395 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058098_0.png resize: (319, 381) 1408402433 -3.4583387563318486 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058060_0.png resize: (353, 274) 1408402434 -3.196154083356323 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058102_0.png resize: (254, 289) 1408402435 -2.9694186397158386 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058077_0.png resize: (210, 288) 1408402436 -3.3862168010255767 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058050_0.png resize: (399, 416) 1408402437 -2.1064118324740253 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058101_0.png resize: (170, 86) 1408402438 -2.4159699398380075 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058105_0.png resize: (311, 274) 1408402439 -3.8129412416049706 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058058_0.png resize: (229, 294) 1408402440 -3.348404729288208 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058069_0.png resize: (188, 83) 1408402441 -3.399308078659925 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058111_0.png resize: (355, 198) 1408402442 -3.7703750134195593 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058109_0.png resize: (115, 116) 1408402443 -2.5969091132468733 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058090_0.png resize: (188, 108) 1408402444 -1.0602134520444249 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058057_0.png resize: (219, 229) 1408402445 -4.006659768516431 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058056_0.png resize: (346, 265) 1408402446 -2.8126093691102954 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058104_0.png resize: (338, 348) 1408402447 -3.4320312274206524 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058065_0.png resize: (225, 261) 1408402448 -3.2808515796686715 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058084_0.png resize: (309, 271) 1408402449 -3.7713757646317867 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058076_0.png resize: (269, 226) 1408402450 -3.5161351274396235 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058052_0.png resize: (105, 91) 1408402451 -2.962445033251373 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058054_0.png resize: (154, 179) 1408402452 -2.456837907877229 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058092_0.png resize: (195, 139) 1408402453 -2.12696200709942 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058094_0.png resize: (138, 144) 1408402454 -1.9654650188870988 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057745_0.png resize: (359, 381) 1408402480 -4.540104769101165 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057775_0.png resize: (94, 90) 1408402483 -3.8509977601290464 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057717_0.png resize: (243, 208) 1408402484 -2.8684015564907446 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057743_0.png resize: (210, 140) 1408402486 -4.122319229268585 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057725_0.png resize: (143, 229) 1408402488 -2.9618142514257335 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057762_0.png resize: (237, 377) 1408402489 -2.724056066320217 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057750_0.png resize: (210, 319) 1408402491 -3.2075149603621793 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057754_0.png resize: (138, 122) 1408402493 -3.8869812718050634 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057764_0.png resize: (140, 176) 1408402494 -3.8351595674108627 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057739_0.png resize: (271, 531) 1408402497 -3.638505357200334 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057752_0.png resize: (194, 219) 1408402498 -3.2360371350548505 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057765_0.png resize: (143, 255) 1408402500 -1.0992527650253165 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057763_0.png resize: (306, 271) 1408402502 -4.46853339440926 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057760_0.png resize: (212, 122) 1408402503 -4.226250893108602 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057738_0.png resize: (271, 468) 1408402505 -3.15722850792179 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057790_0.png resize: (247, 280) 1408402507 -3.5436760769302884 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057796_0.png resize: (163, 224) 1408402508 -2.3151702850264595 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057804_0.png resize: (208, 209) 1408402510 -3.178336259119907 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057840_0.png resize: (178, 164) 1408402512 -4.315607424352182 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057811_0.png resize: (157, 201) 1408402514 -4.246662139826979 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057812_0.png resize: (143, 133) 1408402516 -2.660828747470643 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057841_0.png resize: (130, 135) 1408402517 -2.3592800732544714 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057816_0.png resize: (290, 331) 1408402519 -3.386884511749639 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057814_0.png resize: (381, 366) 1408402521 -2.764560072637057 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057781_0.png resize: (150, 169) 1408402522 -3.3244265250301126 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057813_0.png resize: (261, 371) 1408402525 -2.931646537611923 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057846_0.png resize: (177, 309) 1408402526 -3.808411777805493 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057778_0.png resize: (201, 282) 1408402528 -2.6492450865267982 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057787_0.png resize: (209, 211) 1408402530 -1.606383975177021 treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057836_0.png resize: (165, 87) 1408402531 -0.8259266627750163 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057851_0.png resize: (163, 109) 1408402534 -1.634840655335079 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057878_0.png resize: (277, 170) 1408402535 -0.9481830834263189 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057852_0.png resize: (206, 411) 1408402537 -3.280170598283661 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057893_0.png resize: (208, 251) 1408402539 -4.291692618812922 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057867_0.png resize: (280, 517) 1408402540 -4.18645542471983 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057940_0.png resize: (83, 248) 1408402542 -0.6898669520310791 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057933_0.png resize: (182, 218) 1408402544 -3.7307626356810704 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057939_0.png resize: (170, 309) 1408402545 -3.4682691913451347 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057920_0.png resize: (144, 154) 1408402547 -2.4833619342125326 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057895_0.png resize: (185, 229) 1408402548 -3.780920128628473 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057925_0.png resize: (246, 397) 1408402549 -2.5552672934270118 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057897_0.png resize: (292, 469) 1408402551 -4.076117563832904 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057919_0.png resize: (167, 198) 1408402552 -3.6041619821848356 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057938_0.png resize: (291, 234) 1408402553 -4.2044802070553295 treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057906_0.png resize: (144, 184) 1408402555 -2.927211771878641 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057991_0.png resize: (135, 181) 1408402556 -3.353859194173675 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057995_0.png resize: (222, 343) 1408402558 -3.279088717340854 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057960_0.png resize: (93, 141) 1408402559 -2.9703220216775885 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057970_0.png resize: (207, 133) 1408402560 -2.187681100334745 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057996_0.png resize: (316, 486) 1408402562 -3.036449150134454 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057963_0.png resize: (193, 307) 1408402563 -3.567493205497699 treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057979_0.png resize: (287, 318) 1408402565 -2.5086900222284783 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058006_0.png resize: (250, 255) 1408402567 -3.2737764943296828 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058024_0.png resize: (369, 504) 1408402568 -1.9582300792742315 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058029_0.png resize: (274, 205) 1408402569 -3.280329307432782 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058045_0.png resize: (107, 129) 1408402571 -2.453636211785205 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058009_0.png resize: (440, 288) 1408402572 -2.6305452985410054 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058003_0.png resize: (210, 188) 1408402573 -1.4387141376193222 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058034_0.png resize: (238, 306) 1408402575 -2.918235447626104 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058039_0.png resize: (129, 127) 1408402576 -1.510771023977185 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058107_0.png resize: (142, 273) 1408402577 -3.207325659881731 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058113_0.png resize: (61, 164) 1408402579 -3.567729458935358 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058059_0.png resize: (297, 229) 1408402580 -2.3643313086817273 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058095_0.png resize: (322, 375) 1408402582 -4.4742872652925865 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058103_0.png resize: (191, 190) 1408402583 -4.412156741243238 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058080_0.png resize: (146, 129) 1408402584 -1.9264176166480769 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058089_0.png resize: (259, 216) 1408402586 -3.5425105618862527 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058100_0.png resize: (373, 327) 1408402587 -2.092678577295375 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058061_0.png resize: (237, 428) 1408402588 -2.765753644709109 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058074_0.png resize: (324, 733) 1408402590 -3.5123277333975818 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058068_0.png resize: (206, 488) 1408402591 -4.0684214436066215 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058067_0.png resize: (237, 253) 1408402593 -3.0209912653919417 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058063_0.png resize: (160, 255) 1408402594 -2.9422588549195448 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058110_0.png resize: (126, 171) 1408402595 -2.7926547140448723 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058106_0.png resize: (220, 435) 1408402597 -2.5507365419746084 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058081_0.png resize: (157, 244) 1408402598 -2.4055557588455874 treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058071_0.png resize: (294, 158) 1408402599 -2.353507525162263 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057776_0.png resize: (261, 455) 1408402619 -3.492699571370179 treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057741_0.png resize: (178, 42) 1408402620 -4.031712212273203 treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057892_0.png resize: (172, 237) 1408402648 -4.716900684141311 treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058043_0.png resize: (194, 368) 1408402649 -1.023331194582122 Inside saveOutput : final : False verbose : 0 begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 406 time used for this insertion : 0.03927326202392578 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 406 time used for this insertion : 0.12024664878845215 save missing photos in datou_result : time spend for datou_step_exec : 40.71728849411011 time spend to save output : 0.17055439949035645 total time spend for step 6 : 40.887842893600464 step7:brightness Mon Feb 16 14:19:39 2026 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/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6.jpg treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2.jpg treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee.jpg treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7.jpg treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796.jpg treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9.jpg treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888.jpg treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057724_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057736_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057755_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057753_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057771_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057768_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057718_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057744_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057731_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057727_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057729_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057748_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057726_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057740_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057730_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057722_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057716_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057728_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057733_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057769_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057734_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057721_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057774_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057761_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057757_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057746_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057720_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057772_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057742_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057773_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057747_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057719_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057770_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057766_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057756_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057751_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057749_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057767_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057758_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057737_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057759_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057735_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057723_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057732_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057789_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057799_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057818_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057843_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057837_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057835_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057819_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057821_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057783_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057810_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057823_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057845_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057797_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057793_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057844_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057824_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057805_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057842_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057801_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057829_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057827_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057792_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057788_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057815_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057834_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057808_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057826_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057830_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057825_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057832_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057782_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057839_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057803_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057831_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057777_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057802_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057785_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057791_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057809_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057794_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057838_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057795_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057820_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057800_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057784_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057807_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057786_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057798_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057780_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057806_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057817_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057779_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057828_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057833_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057822_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057858_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057853_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057879_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057882_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057855_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057876_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057888_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057863_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057870_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057866_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057859_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057856_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057886_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057871_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057854_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057874_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057849_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057880_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057850_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057885_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057881_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057889_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057864_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057883_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057862_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057868_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057865_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057890_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057875_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057873_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057848_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057877_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057869_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057891_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057860_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057857_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057884_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057861_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057887_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057847_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057872_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057903_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057908_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057918_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057932_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057941_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057924_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057905_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057917_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057936_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057913_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057930_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057916_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057927_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057929_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057934_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057910_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057937_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057912_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057928_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057915_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057911_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057942_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057935_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057902_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057914_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057926_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057898_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057900_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057907_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057901_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057921_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057931_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057899_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057943_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057896_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057922_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057923_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057909_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057904_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057894_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057949_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057981_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057986_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057961_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057962_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057958_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057948_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057983_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057973_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057978_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057955_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057950_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057984_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057998_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057990_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057947_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057974_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057965_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057992_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057971_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057976_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057994_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057967_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057982_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057985_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057944_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057975_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057946_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057959_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057977_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057966_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057953_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057968_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057980_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057969_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057952_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057951_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057956_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057972_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057987_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057964_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057957_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057997_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057988_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057954_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057989_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057993_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057945_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058008_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058013_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058007_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058002_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058022_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058021_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058040_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058026_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058049_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058010_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058020_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058041_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058004_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058037_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058019_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058025_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058023_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058046_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058012_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058028_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058038_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058000_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058030_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058035_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058044_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058033_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058027_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058042_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058032_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058017_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133057999_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058015_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058018_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058036_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058031_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058047_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058005_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058048_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058016_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058011_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058014_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058001_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058073_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058093_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058088_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058051_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058072_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058083_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058055_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058062_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058096_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058085_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058053_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058108_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058099_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058079_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058114_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058091_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058082_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058112_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058064_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058087_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058078_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058097_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058070_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058066_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058075_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058086_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058098_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058060_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058102_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058077_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058050_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058101_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058105_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058058_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058069_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058111_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058109_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058090_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058057_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058056_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058104_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058065_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058084_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058076_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058052_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058054_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058092_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058094_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057745_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057775_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057717_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057743_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057725_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057762_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057750_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057754_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057764_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057739_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057752_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057765_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057763_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057760_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057738_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057790_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057796_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057804_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057840_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057811_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057812_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057841_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057816_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057814_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057781_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057813_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057846_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057778_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057787_0.png treat image : temp/1771247429_3472646_1408385030_c747981d5931e642485069b45384a2d2_rle_crop_4133057836_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057851_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057878_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057852_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057893_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057867_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057940_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057933_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057939_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057920_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057895_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057925_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057897_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057919_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057938_0.png treat image : temp/1771247429_3472646_1408384954_df6ff6853b32af419960cdcd76dad0d7_rle_crop_4133057906_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057991_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057995_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057960_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057970_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057996_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057963_0.png treat image : temp/1771247429_3472646_1408384916_3ba2f90b03ab2b5c4c82cdaee3544796_rle_crop_4133057979_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058006_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058024_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058029_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058045_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058009_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058003_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058034_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058039_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058107_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058113_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058059_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058095_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058103_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058080_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058089_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058100_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058061_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058074_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058068_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058067_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058063_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058110_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058106_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058081_0.png treat image : temp/1771247429_3472646_1408384473_eba1d1a6a6fdc9022e268d8d98f16888_rle_crop_4133058071_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057776_0.png treat image : temp/1771247429_3472646_1408385598_8f21ddaeced7d207ec57e9489eccc6c6_rle_crop_4133057741_0.png treat image : temp/1771247429_3472646_1408384992_8f5500cdb638feb27a3cd84b782003ee_rle_crop_4133057892_0.png treat image : temp/1771247429_3472646_1408384903_dc89e6a7a371d5d6a2c3e36b2c5d7ab9_rle_crop_4133058043_0.png Inside saveOutput : final : False verbose : 0 begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 406 time used for this insertion : 0.03344154357910156 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 406 time used for this insertion : 0.10033512115478516 save missing photos in datou_result : time spend for datou_step_exec : 10.766989707946777 time spend to save output : 0.14128375053405762 total time spend for step 7 : 10.908273458480835 step8:velours_tree Mon Feb 16 14:19:50 2026 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 VR 22-3-18 : For now we do not clean correctly the datou structure can't find the photo_desc_type Inside saveOutput : final : False verbose : 0 ouput is None No outpout to save, returning out of save general time spend for datou_step_exec : 0.7082862854003906 time spend to save output : 4.9114227294921875e-05 total time spend for step 8 : 0.7083353996276855 step9:send_mail_cod Mon Feb 16 14:19:51 2026 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_P30413755_16-02-2026_14_19_51.pdf 30414046 imagette304140461771247991 30414047 imagette304140471771247991 30414048 change filename to text .change filename to text .imagette304140481771247991 30414049 imagette304140491771247991 30414050 imagette304140501771247991 30414051 imagette304140511771247991 30414052 change filename to text .change filename to text .imagette304140521771247991 30414053 imagette304140531771247991 30414054 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 .imagette304140541771247991 30414055 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 .imagette304140551771247993 SELECT h.hashtag,pcr.value FROM MTRUser.portfolio_carac_ratio pcr, MTRBack.hashtags h where pcr.portfolio_id=30413755 and hashtag_type = 3594 and pcr.hashtag_id = h.hashtag_id; velour_link : https://marlene.fotonower.com/velours/30414046,30414047,30414048,30414049,30414050,30414051,30414052,30414053,30414054,30414055,30414056?tags=pet_clair,metal,pet_fonce,pehd,mal_croppe,flou,autre,background,papier,carton,environnement your option no_mail is active, we will not send the real mail to your client args[1408385598] : ((1408385598, -4.032775053917263, 492609224), (1408385598, -0.8044093075986636, 501862349), '0.2412126253858024') We are sending mail with results at report@fotonower.com args[1408385030] : ((1408385030, -5.251022613157521, 492609224), (1408385030, -0.6045707900561029, 501862349), '0.2412126253858024') We are sending mail with results at report@fotonower.com args[1408384992] : ((1408384992, -4.940704323483338, 492609224), (1408384992, -0.30020032616004305, 496442774), '0.2412126253858024') We are sending mail with results at report@fotonower.com args[1408384954] : ((1408384954, -5.211914146196401, 492609224), (1408384954, -0.5669284128939935, 501862349), '0.2412126253858024') We are sending mail with results at report@fotonower.com args[1408384916] : ((1408384916, -4.88102129853651, 492609224), (1408384916, -0.5255903240151257, 501862349), '0.2412126253858024') We are sending mail with results at report@fotonower.com args[1408384903] : ((1408384903, -5.097002599443283, 492609224), (1408384903, -0.4295979633442881, 496442774), '0.2412126253858024') We are sending mail with results at report@fotonower.com args[1408384473] : ((1408384473, -4.878336360596663, 492609224), (1408384473, -0.8450171460904699, 501862349), '0.2412126253858024') We are sending mail with results at report@fotonower.com refus_total : 0.2412126253858024 2022-04-13 10:29:59 0 SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=30413755 AND mpp.hide_status=0 ORDER BY mpp.order LIMIT 0, 1000 start upload file to ovh https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P30413755_16-02-2026_14_19_51.pdf results_Auto_P30413755_16-02-2026_14_19_51.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P30413755_16-02-2026_14_19_51.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','30413755','results_Auto_P30413755_16-02-2026_14_19_51.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P30413755_16-02-2026_14_19_51.pdf','pdf','','0.58','0.2412126253858024') Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : send_mail_cod we use saveGeneral [1408385598, 1408385030, 1408384992, 1408384954, 1408384916, 1408384903, 1408384473] 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, '4344820') ('3318', '30413755', '1408385598', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408385030', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384992', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384954', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384916', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384903', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384473', None, None, None, None, None, '4344820') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 7 time used for this insertion : 0.01537632942199707 save_final save missing photos in datou_result : time spend for datou_step_exec : 6.349491834640503 time spend to save output : 0.01567387580871582 total time spend for step 9 : 6.365165710449219 step10:split_time_score Mon Feb 16 14:19:57 2026 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'}] (('12', 7),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} 16022026 30413755 Nombre de photos uploadées : 7 / 23040 (0%) 16022026 30413755 Nombre de photos taguées (types de déchets): 0 / 7 (0%) 16022026 30413755 Nombre de photos taguées (volume) : 0 / 7 (0%) elapsed_time : load_data_split_time_score 2.6226043701171875e-06 elapsed_time : order_list_meta_photo_and_scores 9.5367431640625e-06 ??????? elapsed_time : fill_and_build_computed_from_old_data 0.0004949569702148438 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.2471926212310791 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 : 0.0693647372185025 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P30410953_16-02-2026_19_13_14.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 30410953 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`=30410953 AND mptpi.`type`=3726 To do Qualite : 0.06776642747031449 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P30412941_17-02-2026_01_12_25.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 30412941 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`=30412941 AND mptpi.`type`=3726 To do Qualite : 0.2412126253858024 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P30413755_16-02-2026_14_19_51.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 30413755 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`=30413755 AND mptpi.`type`=3594 To do find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 30413756 order by id desc limit 1 NUMBER BATCH : 0 # DISPLAY ALL COLLECTED DATA : {'16022026': {'nb_upload': 7, '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 [1408385598, 1408385030, 1408384992, 1408384954, 1408384916, 1408384903, 1408384473] Looping around the photos to save general results len do output : 1 /30413755Didn'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, '4344820') ('3318', '30413755', '1408385598', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408385030', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384992', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384954', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384916', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384903', None, None, None, None, None, '4344820') ('3318', None, None, None, None, None, None, None, '4344820') ('3318', '30413755', '1408384473', None, None, None, None, None, '4344820') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 8 time used for this insertion : 0.019360780715942383 save_final save missing photos in datou_result : time spend for datou_step_exec : 2.0085182189941406 time spend to save output : 0.019588470458984375 total time spend for step 10 : 2.028106689453125 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 7 set_done_treatment 272.60user 148.38system 9:36.83elapsed 72%CPU (0avgtext+0avgdata 7346228maxresident)k 7285816inputs+174040outputs (291755major+27830565minor)pagefaults 0swaps