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 : 2191812 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 : ['2713807'] with mtr_portfolio_ids : ['21951749'] and first list_photo_ids : [] new path : /proc/2191812/ 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 , BFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 30 ; length of list_pids : 30 ; length of list_args : 30 time to download the photos : 5.475821495056152 About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 10 step1:mask_detect Tue Apr 1 19:20:35 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Beginning of datou step mask_detect ! save_polygon : True begin detect begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 6440 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-04-01 19:20:38.507657: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-04-01 19:20:38.535298: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-04-01 19:20:38.537227: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f668c000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-04-01 19:20:38.537256: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-04-01 19:20:38.541001: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-04-01 19:20:38.684355: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0xb4c68c0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-04-01 19:20:38.684414: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-04-01 19:20:38.685461: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-04-01 19:20:38.685871: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-01 19:20:38.688966: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-01 19:20:38.692065: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-01 19:20:38.692494: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-01 19:20:38.694850: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-01 19:20:38.696083: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-01 19:20:38.701081: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-01 19:20:38.702443: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-01 19:20:38.702544: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-01 19:20:38.703228: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-01 19:20:38.703245: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-01 19:20:38.703255: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-01 19:20:38.704408: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 5911 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead. 2025-04-01 19:20:39.078521: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-04-01 19:20:39.078663: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-01 19:20:39.078702: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-01 19:20:39.078738: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-01 19:20:39.078773: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-01 19:20:39.078810: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-01 19:20:39.078851: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-01 19:20:39.078887: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-01 19:20:39.080427: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-01 19:20:39.082264: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-04-01 19:20:39.082339: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-01 19:20:39.082371: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-01 19:20:39.082401: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-01 19:20:39.082430: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-01 19:20:39.082460: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-01 19:20:39.082489: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-01 19:20:39.082518: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-01 19:20:39.084105: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-01 19:20:39.084170: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-01 19:20:39.084188: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-01 19:20:39.084203: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-01 19:20:39.085875: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 5911 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) Using TensorFlow backend. WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:396: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version. Instructions for updating: box_ind is deprecated, use box_indices instead WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:703: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.cast` instead. WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:729: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.cast` instead. Inside mask_sub_process Inside mask_detect About to load cache.load_thcl_param To do loadFromThcl(), then load ParamDescType : thcl2847 thcls : [{'id': 2847, 'mtr_user_id': 31, 'name': 'learn_RUBBIA_REFUS_AMIENS_23', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'photo_desc_type': 5275, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'}] thcl {'id': 2847, 'mtr_user_id': 31, 'name': 'learn_RUBBIA_REFUS_AMIENS_23', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'photo_desc_type': 5275, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 5275 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5275, 'learn_RUBBIA_REFUS_AMIENS_23', 16384, 25088, 'learn_RUBBIA_REFUS_AMIENS_23', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2021, 4, 23, 14, 19, 39), datetime.datetime(2021, 4, 23, 14, 19, 39)) {'thcl': {'id': 2847, 'mtr_user_id': 31, 'name': 'learn_RUBBIA_REFUS_AMIENS_23', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'photo_desc_type': 5275, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['background', 'papier', 'carton', 'metal', 'pet_clair', 'autre', 'pehd', 'pet_fonce', 'environnement'], 'list_hashtags_csv': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'svm_hashtag_type_desc': 5275, 'photo_desc_type': 5275, 'pb_hashtag_id_or_classifier': 0} list_class_names : ['background', 'papier', 'carton', 'metal', 'pet_clair', 'autre', 'pehd', 'pet_fonce', 'environnement'] Configurations: BACKBONE resnet101 BACKBONE_SHAPES [[160 160] [ 80 80] [ 40 40] [ 20 20] [ 10 10]] BACKBONE_STRIDES [4, 8, 16, 32, 64] BATCH_SIZE 1 BBOX_STD_DEV [0.1 0.1 0.2 0.2] DETECTION_MAX_INSTANCES 100 DETECTION_MIN_CONFIDENCE 0.3 DETECTION_NMS_THRESHOLD 0.3 GPU_COUNT 1 IMAGES_PER_GPU 1 IMAGE_MAX_DIM 640 IMAGE_MIN_DIM 640 IMAGE_PADDING True IMAGE_SHAPE [640 640 3] LEARNING_MOMENTUM 0.9 LEARNING_RATE 0.001 LOSS_WEIGHTS {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0} MASK_POOL_SIZE 14 MASK_SHAPE [28, 28] MAX_GT_INSTANCES 100 MEAN_PIXEL [123.7 116.8 103.9] MINI_MASK_SHAPE (56, 56) NAME learn_RUBBIA_REFUS_AMIENS_23 NUM_CLASSES 9 POOL_SIZE 7 POST_NMS_ROIS_INFERENCE 1000 POST_NMS_ROIS_TRAINING 2000 ROI_POSITIVE_RATIO 0.33 RPN_ANCHOR_RATIOS [0.5, 1, 2] RPN_ANCHOR_SCALES (16, 32, 64, 128, 256) RPN_ANCHOR_STRIDE 1 RPN_BBOX_STD_DEV [0.1 0.1 0.2 0.2] RPN_NMS_THRESHOLD 0.7 RPN_TRAIN_ANCHORS_PER_IMAGE 256 STEPS_PER_EPOCH 1000 TRAIN_ROIS_PER_IMAGE 200 USE_MINI_MASK True USE_RPN_ROIS True VALIDATION_STEPS 50 WEIGHT_DECAY 0.0001 model_param file didn't exist model_name : learn_RUBBIA_REFUS_AMIENS_23 model_type : mask_rcnn list file need : ['mask_model.h5'] file exist in s3 : ['mask_model.h5'] file manque in s3 : [] 2025-04-01 19:20:51.733104: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-01 19:20:51.957318: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-01 19:20:53.518438: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.519136: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.60G (3865470464 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.519742: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 3.24G (3478923264 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.520304: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.92G (3131030784 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.520860: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.62G (2817927680 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.521451: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.36G (2536134912 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.522006: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 2.12G (2282521344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.522079: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-01 19:20:53.522758: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.522780: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-01 19:20:53.531620: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.531723: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-01 19:20:53.532580: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.532597: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-01 19:20:53.539608: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.539719: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 466.56MiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-01 19:20:53.540333: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.540353: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 466.56MiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-01 19:20:53.572332: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.572413: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-01 19:20:53.572986: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.573002: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-01 19:20:53.578999: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.579072: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 243.25MiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-01 19:20:53.579661: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.579680: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 243.25MiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2025-04-01 19:20:53.618291: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.618956: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.620843: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.621379: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.660344: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.660954: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.662941: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.663529: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.688910: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.689527: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.691052: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.691636: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.697163: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.697766: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.699462: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.700030: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.705952: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.706533: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.708093: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.708672: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.735710: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.736308: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.736881: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.737456: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.741041: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.741625: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.757098: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.757685: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.758260: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.758832: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.771456: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.772114: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.772960: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.773684: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.778476: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.779095: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.783815: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.784392: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.796876: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.797538: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.801747: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.802329: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.802911: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.803486: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.804318: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.804896: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.815483: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.816068: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.816658: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.817230: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.817912: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.818490: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.819081: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.819676: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.829135: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.829719: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.835992: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.836577: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.866637: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.866748: W tensorflow/core/kernels/gpu_utils.cc:49] Failed to allocate memory for convolution redzone checking; skipping this check. This is benign and only means that we won't check cudnn for out-of-bounds reads and writes. This message will only be printed once. 2025-04-01 19:20:53.867615: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.868511: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.876787: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.877753: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.878681: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.879593: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.901895: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.904196: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.925036: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.925945: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.926783: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.927565: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.931774: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.932367: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.932941: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.933513: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.935658: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.946174: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.947214: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.956899: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.957557: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.958162: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.958720: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.959314: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2025-04-01 19:20:53.959893: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 4.00G (4294967296 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 : 30 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 57 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 66 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 64 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 6 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 34 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 100 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 43 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 67 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 70 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 91 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 65 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 100 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 65 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 83 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 72 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 74 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 75 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 52 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 48 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 66 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 66 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 66 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 75 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 100 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 100 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 100 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 83 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 100 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 100 NEW PHOTO Processing 1 images image shape: (2160, 3264, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 3264.00000 nb d'objets trouves : 100 Detection mask done ! Trying to reset tf kernel 2192553 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 5398 tf kernel not reseted sub process len(results) : 30 len(list_Values) 0 None max_time_sub_proc : 3600 parent process len(results) : 30 len(list_Values) 0 process is alive process is alive process is alive process is alive finish correctly or not : True after detect begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 6812 list_Values should be empty [] To do loadFromThcl(), then load ParamDescType : thcl2847 Catched exception ! Connect or reconnect ! thcls : [{'id': 2847, 'mtr_user_id': 31, 'name': 'learn_RUBBIA_REFUS_AMIENS_23', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'photo_desc_type': 5275, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'}] thcl {'id': 2847, 'mtr_user_id': 31, 'name': 'learn_RUBBIA_REFUS_AMIENS_23', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'photo_desc_type': 5275, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 5275 ['background', 'papier', 'carton', 'metal', 'pet_clair', 'autre', 'pehd', 'pet_fonce', 'environnement'] time for calcul the mask position with numpy : 0.15641021728515625 nb_pixel_total : 81150 time to create 1 rle with old method : 0.09418559074401855 length of segment : 275 time for calcul the mask position with numpy : 0.29844045639038086 nb_pixel_total : 188855 time to create 1 rle with new method : 0.011507272720336914 length of segment : 437 time for calcul the mask position with numpy : 0.09201192855834961 nb_pixel_total : 25745 time to create 1 rle with old method : 0.03256344795227051 length of segment : 183 time for calcul the mask position with numpy : 0.1125335693359375 nb_pixel_total : 21705 time to create 1 rle with old method : 0.026458024978637695 length of segment : 222 time for calcul the mask position with numpy : 0.39502406120300293 nb_pixel_total : 94615 time to create 1 rle with old method : 0.10901951789855957 length of segment : 560 time for calcul the mask position with numpy : 0.06393098831176758 nb_pixel_total : 18704 time to create 1 rle with old method : 0.023058176040649414 length of segment : 133 time for calcul the mask position with numpy : 0.07025575637817383 nb_pixel_total : 15500 time to create 1 rle with old method : 0.021544933319091797 length of segment : 206 time for calcul the mask position with numpy : 0.05340218544006348 nb_pixel_total : 13508 time to create 1 rle with old method : 0.025374412536621094 length of segment : 114 time for calcul the mask position with numpy : 0.0639500617980957 nb_pixel_total : 22656 time to create 1 rle with old method : 0.03086113929748535 length of segment : 166 time for calcul the mask position with numpy : 0.9694786071777344 nb_pixel_total : 586781 time to create 1 rle with new method : 0.5083961486816406 length of segment : 1020 time for calcul the mask position with numpy : 0.4278862476348877 nb_pixel_total : 182614 time to create 1 rle with new method : 0.008477210998535156 length of segment : 558 time for calcul the mask position with numpy : 0.2502925395965576 nb_pixel_total : 121423 time to create 1 rle with old method : 0.13606691360473633 length of segment : 687 time for calcul the mask position with numpy : 0.12714099884033203 nb_pixel_total : 23287 time to create 1 rle with old method : 0.030926942825317383 length of segment : 227 time for calcul the mask position with numpy : 0.23783254623413086 nb_pixel_total : 39798 time to create 1 rle with old method : 0.055260658264160156 length of segment : 386 time for calcul the mask position with numpy : 0.029603004455566406 nb_pixel_total : 48549 time to create 1 rle with old method : 0.0617825984954834 length of segment : 312 time for calcul the mask position with numpy : 0.1506969928741455 nb_pixel_total : 88308 time to create 1 rle with old method : 0.10877180099487305 length of segment : 334 time for calcul the mask position with numpy : 0.0013108253479003906 nb_pixel_total : 17792 time to create 1 rle with old method : 0.021080970764160156 length of segment : 311 time for calcul the mask position with numpy : 0.2640037536621094 nb_pixel_total : 78062 time to create 1 rle with old method : 0.09615826606750488 length of segment : 394 time for calcul the mask position with numpy : 0.010533809661865234 nb_pixel_total : 10469 time to create 1 rle with old method : 0.016663312911987305 length of segment : 132 time for calcul the mask position with numpy : 0.18609619140625 nb_pixel_total : 87243 time to create 1 rle with old method : 0.09790682792663574 length of segment : 431 time for calcul the mask position with numpy : 0.13200926780700684 nb_pixel_total : 46185 time to create 1 rle with old method : 0.05682516098022461 length of segment : 346 time for calcul the mask position with numpy : 0.08872103691101074 nb_pixel_total : 64547 time to create 1 rle with old method : 0.07695293426513672 length of segment : 402 time for calcul the mask position with numpy : 0.0561213493347168 nb_pixel_total : 20227 time to create 1 rle with old method : 0.027096271514892578 length of segment : 220 time for calcul the mask position with numpy : 0.06632399559020996 nb_pixel_total : 51571 time to create 1 rle with old method : 0.06095623970031738 length of segment : 308 time for calcul the mask position with numpy : 0.08998990058898926 nb_pixel_total : 78354 time to create 1 rle with old method : 0.09012436866760254 length of segment : 202 time for calcul the mask position with numpy : 0.004696369171142578 nb_pixel_total : 39679 time to create 1 rle with old method : 0.046298980712890625 length of segment : 312 time for calcul the mask position with numpy : 0.04792284965515137 nb_pixel_total : 18340 time to create 1 rle with old method : 0.026941299438476562 length of segment : 235 time for calcul the mask position with numpy : 0.19011187553405762 nb_pixel_total : 145674 time to create 1 rle with old method : 0.1920633316040039 length of segment : 599 time for calcul the mask position with numpy : 0.001123189926147461 nb_pixel_total : 46019 time to create 1 rle with old method : 0.05352616310119629 length of segment : 324 time for calcul the mask position with numpy : 0.00021767616271972656 nb_pixel_total : 5172 time to create 1 rle with old method : 0.0060384273529052734 length of segment : 105 time for calcul the mask position with numpy : 0.033747196197509766 nb_pixel_total : 6531 time to create 1 rle with old method : 0.013890266418457031 length of segment : 103 time for calcul the mask position with numpy : 0.5960283279418945 nb_pixel_total : 235327 time to create 1 rle with new method : 0.016405820846557617 length of segment : 558 time for calcul the mask position with numpy : 0.046459197998046875 nb_pixel_total : 10861 time to create 1 rle with old method : 0.012014389038085938 length of segment : 129 time for calcul the mask position with numpy : 0.1622023582458496 nb_pixel_total : 65188 time to create 1 rle with old method : 0.06998991966247559 length of segment : 305 time for calcul the mask position with numpy : 0.10403656959533691 nb_pixel_total : 59980 time to create 1 rle with old method : 0.06342196464538574 length of segment : 239 time for calcul the mask position with numpy : 0.09438037872314453 nb_pixel_total : 33113 time to create 1 rle with old method : 0.035964012145996094 length of segment : 151 time for calcul the mask position with numpy : 0.1789240837097168 nb_pixel_total : 56954 time to create 1 rle with old method : 0.062204837799072266 length of segment : 247 time for calcul the mask position with numpy : 0.5223755836486816 nb_pixel_total : 282156 time to create 1 rle with new method : 0.018152952194213867 length of segment : 518 time for calcul the mask position with numpy : 0.0005941390991210938 nb_pixel_total : 17605 time to create 1 rle with old method : 0.021273136138916016 length of segment : 195 time for calcul the mask position with numpy : 0.11302304267883301 nb_pixel_total : 39694 time to create 1 rle with old method : 0.04873061180114746 length of segment : 286 time for calcul the mask position with numpy : 0.25423121452331543 nb_pixel_total : 93320 time to create 1 rle with old method : 0.11463117599487305 length of segment : 327 time for calcul the mask position with numpy : 0.12341451644897461 nb_pixel_total : 89740 time to create 1 rle with old method : 0.1165318489074707 length of segment : 385 time for calcul the mask position with numpy : 0.5219721794128418 nb_pixel_total : 249205 time to create 1 rle with new method : 0.02054572105407715 length of segment : 987 time for calcul the mask position with numpy : 0.07976102828979492 nb_pixel_total : 26910 time to create 1 rle with old method : 0.037354469299316406 length of segment : 250 time for calcul the mask position with numpy : 0.02155017852783203 nb_pixel_total : 7086 time to create 1 rle with old method : 0.01430654525756836 length of segment : 79 time for calcul the mask position with numpy : 0.07866835594177246 nb_pixel_total : 23980 time to create 1 rle with old method : 0.03390645980834961 length of segment : 211 time for calcul the mask position with numpy : 0.14558124542236328 nb_pixel_total : 53665 time to create 1 rle with old method : 0.09015893936157227 length of segment : 501 time for calcul the mask position with numpy : 0.15547680854797363 nb_pixel_total : 84527 time to create 1 rle with old method : 0.09716057777404785 length of segment : 485 time for calcul the mask position with numpy : 0.13430356979370117 nb_pixel_total : 72606 time to create 1 rle with old method : 0.0864405632019043 length of segment : 327 time for calcul the mask position with numpy : 0.22984075546264648 nb_pixel_total : 155584 time to create 1 rle with new method : 0.009587287902832031 length of segment : 465 time for calcul the mask position with numpy : 0.10843276977539062 nb_pixel_total : 51149 time to create 1 rle with old method : 0.06064891815185547 length of segment : 330 time for calcul the mask position with numpy : 0.03986358642578125 nb_pixel_total : 34953 time to create 1 rle with old method : 0.04421067237854004 length of segment : 258 time for calcul the mask position with numpy : 0.05289912223815918 nb_pixel_total : 78403 time to create 1 rle with old method : 0.10272836685180664 length of segment : 330 time for calcul the mask position with numpy : 0.1334834098815918 nb_pixel_total : 37035 time to create 1 rle with old method : 0.046530723571777344 length of segment : 244 time for calcul the mask position with numpy : 0.09849333763122559 nb_pixel_total : 48656 time to create 1 rle with old method : 0.06200385093688965 length of segment : 332 time for calcul the mask position with numpy : 0.004883289337158203 nb_pixel_total : 10299 time to create 1 rle with old method : 0.013544559478759766 length of segment : 99 time for calcul the mask position with numpy : 0.0005216598510742188 nb_pixel_total : 26035 time to create 1 rle with old method : 0.030350923538208008 length of segment : 164 time for calcul the mask position with numpy : 0.03179216384887695 nb_pixel_total : 80305 time to create 1 rle with old method : 0.0931391716003418 length of segment : 341 time for calcul the mask position with numpy : 0.1389904022216797 nb_pixel_total : 87869 time to create 1 rle with old method : 0.10057377815246582 length of segment : 388 time for calcul the mask position with numpy : 0.013394594192504883 nb_pixel_total : 6571 time to create 1 rle with old method : 0.011250019073486328 length of segment : 129 time for calcul the mask position with numpy : 0.0011866092681884766 nb_pixel_total : 2774 time to create 1 rle with old method : 0.0033125877380371094 length of segment : 67 time for calcul the mask position with numpy : 0.0026226043701171875 nb_pixel_total : 14006 time to create 1 rle with old method : 0.01585984230041504 length of segment : 165 time for calcul the mask position with numpy : 0.011859416961669922 nb_pixel_total : 35485 time to create 1 rle with old method : 0.04257965087890625 length of segment : 243 time for calcul the mask position with numpy : 0.5536401271820068 nb_pixel_total : 197934 time to create 1 rle with new method : 0.01881694793701172 length of segment : 634 time for calcul the mask position with numpy : 0.04624485969543457 nb_pixel_total : 12642 time to create 1 rle with old method : 0.020456790924072266 length of segment : 126 time for calcul the mask position with numpy : 0.07414579391479492 nb_pixel_total : 17234 time to create 1 rle with old method : 0.023738861083984375 length of segment : 194 time for calcul the mask position with numpy : 0.15740394592285156 nb_pixel_total : 73727 time to create 1 rle with old method : 0.09159183502197266 length of segment : 260 time for calcul the mask position with numpy : 0.18419981002807617 nb_pixel_total : 62250 time to create 1 rle with old method : 0.07348179817199707 length of segment : 417 time for calcul the mask position with numpy : 0.0430598258972168 nb_pixel_total : 23668 time to create 1 rle with old method : 0.02979731559753418 length of segment : 152 time for calcul the mask position with numpy : 0.09800028800964355 nb_pixel_total : 19368 time to create 1 rle with old method : 0.03099679946899414 length of segment : 257 time for calcul the mask position with numpy : 0.16092348098754883 nb_pixel_total : 26635 time to create 1 rle with old method : 0.0362701416015625 length of segment : 405 time for calcul the mask position with numpy : 0.21819162368774414 nb_pixel_total : 54480 time to create 1 rle with old method : 0.06664681434631348 length of segment : 307 time for calcul the mask position with numpy : 0.5969028472900391 nb_pixel_total : 151929 time to create 1 rle with new method : 0.01498723030090332 length of segment : 511 time for calcul the mask position with numpy : 0.2528109550476074 nb_pixel_total : 44981 time to create 1 rle with old method : 0.07703137397766113 length of segment : 480 time for calcul the mask position with numpy : 0.03850865364074707 nb_pixel_total : 11138 time to create 1 rle with old method : 0.01957249641418457 length of segment : 160 time for calcul the mask position with numpy : 0.07643318176269531 nb_pixel_total : 92477 time to create 1 rle with old method : 0.11554574966430664 length of segment : 305 time for calcul the mask position with numpy : 0.11720514297485352 nb_pixel_total : 97052 time to create 1 rle with old method : 0.11376166343688965 length of segment : 153 time for calcul the mask position with numpy : 0.09108948707580566 nb_pixel_total : 33747 time to create 1 rle with old method : 0.03945016860961914 length of segment : 310 time for calcul the mask position with numpy : 0.009688854217529297 nb_pixel_total : 30747 time to create 1 rle with old method : 0.03669452667236328 length of segment : 220 time for calcul the mask position with numpy : 0.030369997024536133 nb_pixel_total : 7966 time to create 1 rle with old method : 0.014429807662963867 length of segment : 78 time for calcul the mask position with numpy : 0.05833888053894043 nb_pixel_total : 14724 time to create 1 rle with old method : 0.030848979949951172 length of segment : 97 time for calcul the mask position with numpy : 0.03911948204040527 nb_pixel_total : 18052 time to create 1 rle with old method : 0.027868986129760742 length of segment : 153 time for calcul the mask position with numpy : 0.07084274291992188 nb_pixel_total : 45620 time to create 1 rle with old method : 0.056639909744262695 length of segment : 218 time for calcul the mask position with numpy : 0.1626448631286621 nb_pixel_total : 171095 time to create 1 rle with new method : 0.011011362075805664 length of segment : 545 time for calcul the mask position with numpy : 0.02587437629699707 nb_pixel_total : 8603 time to create 1 rle with old method : 0.014845132827758789 length of segment : 99 time for calcul the mask position with numpy : 0.0837717056274414 nb_pixel_total : 28278 time to create 1 rle with old method : 0.034290313720703125 length of segment : 242 time for calcul the mask position with numpy : 0.021582603454589844 nb_pixel_total : 8642 time to create 1 rle with old method : 0.014750480651855469 length of segment : 114 time for calcul the mask position with numpy : 0.02205657958984375 nb_pixel_total : 4541 time to create 1 rle with old method : 0.005337715148925781 length of segment : 69 time for calcul the mask position with numpy : 0.01954030990600586 nb_pixel_total : 9926 time to create 1 rle with old method : 0.018234968185424805 length of segment : 100 time for calcul the mask position with numpy : 0.029633760452270508 nb_pixel_total : 6456 time to create 1 rle with old method : 0.012917518615722656 length of segment : 120 time for calcul the mask position with numpy : 0.008828401565551758 nb_pixel_total : 7933 time to create 1 rle with old method : 0.015009164810180664 length of segment : 129 time for calcul the mask position with numpy : 0.1487126350402832 nb_pixel_total : 70019 time to create 1 rle with old method : 0.09300899505615234 length of segment : 307 time for calcul the mask position with numpy : 0.08090662956237793 nb_pixel_total : 40812 time to create 1 rle with old method : 0.05023002624511719 length of segment : 238 time for calcul the mask position with numpy : 0.05518341064453125 nb_pixel_total : 19468 time to create 1 rle with old method : 0.02610301971435547 length of segment : 214 time for calcul the mask position with numpy : 0.0007946491241455078 nb_pixel_total : 28770 time to create 1 rle with old method : 0.03365898132324219 length of segment : 145 time for calcul the mask position with numpy : 0.02199077606201172 nb_pixel_total : 13745 time to create 1 rle with old method : 0.018613576889038086 length of segment : 265 time for calcul the mask position with numpy : 0.02534008026123047 nb_pixel_total : 18186 time to create 1 rle with old method : 0.025644302368164062 length of segment : 197 time for calcul the mask position with numpy : 0.09720683097839355 nb_pixel_total : 100905 time to create 1 rle with old method : 0.11629104614257812 length of segment : 509 time for calcul the mask position with numpy : 0.04051065444946289 nb_pixel_total : 18163 time to create 1 rle with old method : 0.024858951568603516 length of segment : 189 time for calcul the mask position with numpy : 0.28049731254577637 nb_pixel_total : 109477 time to create 1 rle with old method : 0.12768101692199707 length of segment : 508 time for calcul the mask position with numpy : 0.050487518310546875 nb_pixel_total : 16048 time to create 1 rle with old method : 0.02379894256591797 length of segment : 315 time for calcul the mask position with numpy : 0.06628870964050293 nb_pixel_total : 61303 time to create 1 rle with old method : 0.07421994209289551 length of segment : 365 time for calcul the mask position with numpy : 0.04162335395812988 nb_pixel_total : 34697 time to create 1 rle with old method : 0.04546999931335449 length of segment : 243 time for calcul the mask position with numpy : 0.1414661407470703 nb_pixel_total : 182367 time to create 1 rle with new method : 0.011831045150756836 length of segment : 942 time for calcul the mask position with numpy : 0.07904338836669922 nb_pixel_total : 33385 time to create 1 rle with old method : 0.0440828800201416 length of segment : 234 time for calcul the mask position with numpy : 0.07053256034851074 nb_pixel_total : 25606 time to create 1 rle with old method : 0.03469252586364746 length of segment : 232 time for calcul the mask position with numpy : 0.011356830596923828 nb_pixel_total : 3288 time to create 1 rle with old method : 0.007056236267089844 length of segment : 58 time for calcul the mask position with numpy : 0.07441234588623047 nb_pixel_total : 40352 time to create 1 rle with old method : 0.049427032470703125 length of segment : 228 time for calcul the mask position with numpy : 0.042978525161743164 nb_pixel_total : 14434 time to create 1 rle with old method : 0.02229762077331543 length of segment : 143 time for calcul the mask position with numpy : 0.04959988594055176 nb_pixel_total : 17256 time to create 1 rle with old method : 0.023771286010742188 length of segment : 176 time for calcul the mask position with numpy : 0.008802413940429688 nb_pixel_total : 13310 time to create 1 rle with old method : 0.025661945343017578 length of segment : 160 time for calcul the mask position with numpy : 0.05267500877380371 nb_pixel_total : 23747 time to create 1 rle with old method : 0.029146194458007812 length of segment : 175 time for calcul the mask position with numpy : 0.021721363067626953 nb_pixel_total : 17915 time to create 1 rle with old method : 0.02278304100036621 length of segment : 224 time for calcul the mask position with numpy : 0.021286487579345703 nb_pixel_total : 6530 time to create 1 rle with old method : 0.01248311996459961 length of segment : 98 time for calcul the mask position with numpy : 0.0564424991607666 nb_pixel_total : 22931 time to create 1 rle with old method : 0.03243565559387207 length of segment : 166 time for calcul the mask position with numpy : 0.036286115646362305 nb_pixel_total : 16247 time to create 1 rle with old method : 0.02233290672302246 length of segment : 134 time for calcul the mask position with numpy : 0.05134105682373047 nb_pixel_total : 30601 time to create 1 rle with old method : 0.03925299644470215 length of segment : 154 time for calcul the mask position with numpy : 0.23512697219848633 nb_pixel_total : 172175 time to create 1 rle with new method : 0.009604215621948242 length of segment : 594 time for calcul the mask position with numpy : 0.018305540084838867 nb_pixel_total : 6561 time to create 1 rle with old method : 0.009266376495361328 length of segment : 83 time for calcul the mask position with numpy : 0.062006235122680664 nb_pixel_total : 31548 time to create 1 rle with old method : 0.038797616958618164 length of segment : 211 time for calcul the mask position with numpy : 0.06324577331542969 nb_pixel_total : 26755 time to create 1 rle with old method : 0.03406524658203125 length of segment : 198 time for calcul the mask position with numpy : 0.08682537078857422 nb_pixel_total : 17335 time to create 1 rle with old method : 0.026503324508666992 length of segment : 182 time for calcul the mask position with numpy : 0.07213282585144043 nb_pixel_total : 15412 time to create 1 rle with old method : 0.02136373519897461 length of segment : 110 time for calcul the mask position with numpy : 0.06318545341491699 nb_pixel_total : 10343 time to create 1 rle with old method : 0.019798994064331055 length of segment : 118 time for calcul the mask position with numpy : 0.03692364692687988 nb_pixel_total : 3271 time to create 1 rle with old method : 0.006154060363769531 length of segment : 76 time for calcul the mask position with numpy : 0.09172296524047852 nb_pixel_total : 17207 time to create 1 rle with old method : 0.02472662925720215 length of segment : 128 time for calcul the mask position with numpy : 0.09417104721069336 nb_pixel_total : 11281 time to create 1 rle with old method : 0.014881372451782227 length of segment : 181 time for calcul the mask position with numpy : 0.08128643035888672 nb_pixel_total : 11475 time to create 1 rle with old method : 0.019862651824951172 length of segment : 110 time for calcul the mask position with numpy : 0.020997285842895508 nb_pixel_total : 7784 time to create 1 rle with old method : 0.015082120895385742 length of segment : 93 time for calcul the mask position with numpy : 0.027074575424194336 nb_pixel_total : 3823 time to create 1 rle with old method : 0.008912801742553711 length of segment : 76 time for calcul the mask position with numpy : 0.023711442947387695 nb_pixel_total : 3785 time to create 1 rle with old method : 0.006382942199707031 length of segment : 67 time for calcul the mask position with numpy : 0.13264083862304688 nb_pixel_total : 28439 time to create 1 rle with old method : 0.03935956954956055 length of segment : 174 time for calcul the mask position with numpy : 0.11378622055053711 nb_pixel_total : 26629 time to create 1 rle with old method : 0.033074378967285156 length of segment : 208 time for calcul the mask position with numpy : 0.045979976654052734 nb_pixel_total : 7863 time to create 1 rle with old method : 0.013341903686523438 length of segment : 128 time for calcul the mask position with numpy : 0.2609889507293701 nb_pixel_total : 68278 time to create 1 rle with old method : 0.08002471923828125 length of segment : 257 time for calcul the mask position with numpy : 0.04671168327331543 nb_pixel_total : 6244 time to create 1 rle with old method : 0.009963512420654297 length of segment : 168 time for calcul the mask position with numpy : 0.11772584915161133 nb_pixel_total : 27810 time to create 1 rle with old method : 0.03523445129394531 length of segment : 253 time for calcul the mask position with numpy : 0.031096220016479492 nb_pixel_total : 8051 time to create 1 rle with old method : 0.015067100524902344 length of segment : 74 time for calcul the mask position with numpy : 0.09328866004943848 nb_pixel_total : 24939 time to create 1 rle with old method : 0.03822445869445801 length of segment : 153 time for calcul the mask position with numpy : 0.2181863784790039 nb_pixel_total : 50204 time to create 1 rle with old method : 0.06655478477478027 length of segment : 345 time for calcul the mask position with numpy : 0.09345769882202148 nb_pixel_total : 24996 time to create 1 rle with old method : 0.034029245376586914 length of segment : 224 time for calcul the mask position with numpy : 0.14231657981872559 nb_pixel_total : 30741 time to create 1 rle with old method : 0.03758096694946289 length of segment : 254 time for calcul the mask position with numpy : 0.029883861541748047 nb_pixel_total : 11783 time to create 1 rle with old method : 0.0189363956451416 length of segment : 145 time for calcul the mask position with numpy : 0.02451300621032715 nb_pixel_total : 4547 time to create 1 rle with old method : 0.009191036224365234 length of segment : 68 time for calcul the mask position with numpy : 0.11462545394897461 nb_pixel_total : 36452 time to create 1 rle with old method : 0.05761122703552246 length of segment : 147 time for calcul the mask position with numpy : 0.09877252578735352 nb_pixel_total : 16022 time to create 1 rle with old method : 0.023534297943115234 length of segment : 152 time for calcul the mask position with numpy : 0.015057563781738281 nb_pixel_total : 5718 time to create 1 rle with old method : 0.010050296783447266 length of segment : 88 time for calcul the mask position with numpy : 0.017123937606811523 nb_pixel_total : 6592 time to create 1 rle with old method : 0.013069868087768555 length of segment : 109 time for calcul the mask position with numpy : 0.07992720603942871 nb_pixel_total : 15049 time to create 1 rle with old method : 0.018059492111206055 length of segment : 145 time for calcul the mask position with numpy : 0.02990865707397461 nb_pixel_total : 4004 time to create 1 rle with old method : 0.006161212921142578 length of segment : 106 time for calcul the mask position with numpy : 0.26513218879699707 nb_pixel_total : 56926 time to create 1 rle with old method : 0.07704710960388184 length of segment : 442 time for calcul the mask position with numpy : 0.08229756355285645 nb_pixel_total : 15537 time to create 1 rle with old method : 0.02100396156311035 length of segment : 150 time for calcul the mask position with numpy : 0.07149767875671387 nb_pixel_total : 15873 time to create 1 rle with old method : 0.022840261459350586 length of segment : 228 time for calcul the mask position with numpy : 0.020203590393066406 nb_pixel_total : 13138 time to create 1 rle with old method : 0.01916050910949707 length of segment : 144 time for calcul the mask position with numpy : 0.09556913375854492 nb_pixel_total : 21554 time to create 1 rle with old method : 0.026871442794799805 length of segment : 164 time for calcul the mask position with numpy : 0.10815668106079102 nb_pixel_total : 33860 time to create 1 rle with old method : 0.04272818565368652 length of segment : 179 time for calcul the mask position with numpy : 0.01648116111755371 nb_pixel_total : 3773 time to create 1 rle with old method : 0.00787806510925293 length of segment : 62 time for calcul the mask position with numpy : 0.01676034927368164 nb_pixel_total : 9825 time to create 1 rle with old method : 0.012413501739501953 length of segment : 173 time for calcul the mask position with numpy : 0.12029695510864258 nb_pixel_total : 27722 time to create 1 rle with old method : 0.034844398498535156 length of segment : 415 time for calcul the mask position with numpy : 0.23419594764709473 nb_pixel_total : 62584 time to create 1 rle with old method : 0.07242107391357422 length of segment : 439 time for calcul the mask position with numpy : 0.021365642547607422 nb_pixel_total : 7782 time to create 1 rle with old method : 0.013275146484375 length of segment : 144 time for calcul the mask position with numpy : 0.6387233734130859 nb_pixel_total : 288302 time to create 1 rle with new method : 0.02541518211364746 length of segment : 789 time for calcul the mask position with numpy : 0.009254693984985352 nb_pixel_total : 19203 time to create 1 rle with old method : 0.02587890625 length of segment : 251 time for calcul the mask position with numpy : 0.20999765396118164 nb_pixel_total : 64049 time to create 1 rle with old method : 0.07537484169006348 length of segment : 345 time for calcul the mask position with numpy : 0.04883170127868652 nb_pixel_total : 10440 time to create 1 rle with old method : 0.016865015029907227 length of segment : 132 time for calcul the mask position with numpy : 0.06642818450927734 nb_pixel_total : 26041 time to create 1 rle with old method : 0.03440666198730469 length of segment : 206 time for calcul the mask position with numpy : 0.2722141742706299 nb_pixel_total : 90975 time to create 1 rle with old method : 0.1090555191040039 length of segment : 336 time for calcul the mask position with numpy : 0.03857135772705078 nb_pixel_total : 8545 time to create 1 rle with old method : 0.01611042022705078 length of segment : 122 time for calcul the mask position with numpy : 0.018164396286010742 nb_pixel_total : 12078 time to create 1 rle with old method : 0.01678156852722168 length of segment : 213 time for calcul the mask position with numpy : 0.02646327018737793 nb_pixel_total : 4529 time to create 1 rle with old method : 0.008553028106689453 length of segment : 81 time for calcul the mask position with numpy : 0.03646039962768555 nb_pixel_total : 21984 time to create 1 rle with old method : 0.03630542755126953 length of segment : 262 time for calcul the mask position with numpy : 0.022632837295532227 nb_pixel_total : 5251 time to create 1 rle with old method : 0.009997367858886719 length of segment : 77 time for calcul the mask position with numpy : 0.052767038345336914 nb_pixel_total : 11404 time to create 1 rle with old method : 0.02124810218811035 length of segment : 161 time for calcul the mask position with numpy : 0.13248562812805176 nb_pixel_total : 29904 time to create 1 rle with old method : 0.0665128231048584 length of segment : 462 time for calcul the mask position with numpy : 0.06887197494506836 nb_pixel_total : 11335 time to create 1 rle with old method : 0.017261266708374023 length of segment : 249 time for calcul the mask position with numpy : 0.32500457763671875 nb_pixel_total : 80499 time to create 1 rle with old method : 0.11308860778808594 length of segment : 420 time for calcul the mask position with numpy : 0.05333089828491211 nb_pixel_total : 15622 time to create 1 rle with old method : 0.022614479064941406 length of segment : 157 time for calcul the mask position with numpy : 0.027163267135620117 nb_pixel_total : 19590 time to create 1 rle with old method : 0.0277097225189209 length of segment : 306 time for calcul the mask position with numpy : 0.09837961196899414 nb_pixel_total : 42668 time to create 1 rle with old method : 0.06846737861633301 length of segment : 413 time for calcul the mask position with numpy : 0.047833919525146484 nb_pixel_total : 18450 time to create 1 rle with old method : 0.026307344436645508 length of segment : 109 time for calcul the mask position with numpy : 0.006665945053100586 nb_pixel_total : 3573 time to create 1 rle with old method : 0.007501363754272461 length of segment : 68 time for calcul the mask position with numpy : 0.024601459503173828 nb_pixel_total : 5401 time to create 1 rle with old method : 0.01024174690246582 length of segment : 56 time for calcul the mask position with numpy : 0.0008187294006347656 nb_pixel_total : 14065 time to create 1 rle with old method : 0.02466106414794922 length of segment : 170 time for calcul the mask position with numpy : 0.00036644935607910156 nb_pixel_total : 7685 time to create 1 rle with old method : 0.00894618034362793 length of segment : 127 time for calcul the mask position with numpy : 0.07460212707519531 nb_pixel_total : 14687 time to create 1 rle with old method : 0.02233719825744629 length of segment : 207 time for calcul the mask position with numpy : 0.14275622367858887 nb_pixel_total : 41236 time to create 1 rle with old method : 0.051981449127197266 length of segment : 354 time for calcul the mask position with numpy : 0.1010291576385498 nb_pixel_total : 47221 time to create 1 rle with old method : 0.05659198760986328 length of segment : 431 time for calcul the mask position with numpy : 0.1311640739440918 nb_pixel_total : 72905 time to create 1 rle with old method : 0.08342099189758301 length of segment : 506 time for calcul the mask position with numpy : 0.005887269973754883 nb_pixel_total : 7237 time to create 1 rle with old method : 0.010198593139648438 length of segment : 133 time for calcul the mask position with numpy : 0.05335092544555664 nb_pixel_total : 19190 time to create 1 rle with old method : 0.025837421417236328 length of segment : 252 time for calcul the mask position with numpy : 0.0009739398956298828 nb_pixel_total : 15587 time to create 1 rle with old method : 0.019966602325439453 length of segment : 142 time for calcul the mask position with numpy : 0.05494809150695801 nb_pixel_total : 11684 time to create 1 rle with old method : 0.01838064193725586 length of segment : 136 time for calcul the mask position with numpy : 0.06746315956115723 nb_pixel_total : 24989 time to create 1 rle with old method : 0.0416254997253418 length of segment : 223 time for calcul the mask position with numpy : 0.14089441299438477 nb_pixel_total : 76469 time to create 1 rle with old method : 0.08963155746459961 length of segment : 303 time for calcul the mask position with numpy : 0.055390119552612305 nb_pixel_total : 16233 time to create 1 rle with old method : 0.022700071334838867 length of segment : 191 time for calcul the mask position with numpy : 0.1251685619354248 nb_pixel_total : 70088 time to create 1 rle with old method : 0.08437204360961914 length of segment : 265 time for calcul the mask position with numpy : 0.06296253204345703 nb_pixel_total : 26109 time to create 1 rle with old method : 0.03949475288391113 length of segment : 163 time for calcul the mask position with numpy : 0.10291934013366699 nb_pixel_total : 30592 time to create 1 rle with old method : 0.03969097137451172 length of segment : 248 time for calcul the mask position with numpy : 0.022211551666259766 nb_pixel_total : 14309 time to create 1 rle with old method : 0.018999338150024414 length of segment : 125 time for calcul the mask position with numpy : 0.3773212432861328 nb_pixel_total : 133523 time to create 1 rle with old method : 0.17621517181396484 length of segment : 779 time for calcul the mask position with numpy : 0.05895042419433594 nb_pixel_total : 23756 time to create 1 rle with old method : 0.0339200496673584 length of segment : 221 time for calcul the mask position with numpy : 0.27512502670288086 nb_pixel_total : 200800 time to create 1 rle with new method : 0.008078575134277344 length of segment : 471 time for calcul the mask position with numpy : 0.16436290740966797 nb_pixel_total : 79364 time to create 1 rle with old method : 0.1001131534576416 length of segment : 452 time for calcul the mask position with numpy : 0.019302845001220703 nb_pixel_total : 27708 time to create 1 rle with old method : 0.03783893585205078 length of segment : 297 time for calcul the mask position with numpy : 0.44179511070251465 nb_pixel_total : 230954 time to create 1 rle with new method : 0.013996362686157227 length of segment : 573 time for calcul the mask position with numpy : 0.004437685012817383 nb_pixel_total : 72474 time to create 1 rle with old method : 0.07927560806274414 length of segment : 363 time for calcul the mask position with numpy : 0.07763290405273438 nb_pixel_total : 26429 time to create 1 rle with old method : 0.032649993896484375 length of segment : 255 time for calcul the mask position with numpy : 0.009766101837158203 nb_pixel_total : 8898 time to create 1 rle with old method : 0.014621496200561523 length of segment : 91 time for calcul the mask position with numpy : 0.4050467014312744 nb_pixel_total : 200068 time to create 1 rle with new method : 0.012682437896728516 length of segment : 569 time for calcul the mask position with numpy : 0.19156312942504883 nb_pixel_total : 66893 time to create 1 rle with old method : 0.0815134048461914 length of segment : 334 time for calcul the mask position with numpy : 0.04078960418701172 nb_pixel_total : 10796 time to create 1 rle with old method : 0.018630266189575195 length of segment : 154 time for calcul the mask position with numpy : 0.0681614875793457 nb_pixel_total : 22425 time to create 1 rle with old method : 0.03425478935241699 length of segment : 145 time for calcul the mask position with numpy : 0.09964704513549805 nb_pixel_total : 28120 time to create 1 rle with old method : 0.03753948211669922 length of segment : 212 time for calcul the mask position with numpy : 0.06122088432312012 nb_pixel_total : 13094 time to create 1 rle with old method : 0.020227670669555664 length of segment : 171 time for calcul the mask position with numpy : 0.08776736259460449 nb_pixel_total : 29906 time to create 1 rle with old method : 0.03844428062438965 length of segment : 206 time for calcul the mask position with numpy : 0.03883695602416992 nb_pixel_total : 14002 time to create 1 rle with old method : 0.028388261795043945 length of segment : 122 time for calcul the mask position with numpy : 0.30320310592651367 nb_pixel_total : 120101 time to create 1 rle with old method : 0.14019322395324707 length of segment : 391 time for calcul the mask position with numpy : 0.10507464408874512 nb_pixel_total : 32698 time to create 1 rle with old method : 0.04406023025512695 length of segment : 233 time for calcul the mask position with numpy : 1.0336790084838867 nb_pixel_total : 378573 time to create 1 rle with new method : 0.04587149620056152 length of segment : 645 time for calcul the mask position with numpy : 0.025658130645751953 nb_pixel_total : 17494 time to create 1 rle with old method : 0.026757478713989258 length of segment : 136 time for calcul the mask position with numpy : 0.22990131378173828 nb_pixel_total : 73981 time to create 1 rle with old method : 0.0840609073638916 length of segment : 309 time for calcul the mask position with numpy : 0.043459177017211914 nb_pixel_total : 11798 time to create 1 rle with old method : 0.01953721046447754 length of segment : 95 time for calcul the mask position with numpy : 0.01754140853881836 nb_pixel_total : 2199 time to create 1 rle with old method : 0.005086421966552734 length of segment : 40 time for calcul the mask position with numpy : 0.17211413383483887 nb_pixel_total : 46419 time to create 1 rle with old method : 0.06952214241027832 length of segment : 213 time for calcul the mask position with numpy : 0.34723925590515137 nb_pixel_total : 115106 time to create 1 rle with old method : 0.13480639457702637 length of segment : 566 time for calcul the mask position with numpy : 0.027723073959350586 nb_pixel_total : 9397 time to create 1 rle with old method : 0.01588916778564453 length of segment : 88 time for calcul the mask position with numpy : 0.012111902236938477 nb_pixel_total : 4752 time to create 1 rle with old method : 0.009910345077514648 length of segment : 111 time for calcul the mask position with numpy : 0.18829560279846191 nb_pixel_total : 74577 time to create 1 rle with old method : 0.10370659828186035 length of segment : 385 time for calcul the mask position with numpy : 0.040383338928222656 nb_pixel_total : 16444 time to create 1 rle with old method : 0.02517557144165039 length of segment : 130 time for calcul the mask position with numpy : 0.03500938415527344 nb_pixel_total : 52514 time to create 1 rle with old method : 0.0755147933959961 length of segment : 273 time for calcul the mask position with numpy : 0.00014543533325195312 nb_pixel_total : 1762 time to create 1 rle with old method : 0.0024309158325195312 length of segment : 42 time for calcul the mask position with numpy : 0.014872074127197266 nb_pixel_total : 10535 time to create 1 rle with old method : 0.017639875411987305 length of segment : 194 time for calcul the mask position with numpy : 0.018715858459472656 nb_pixel_total : 8822 time to create 1 rle with old method : 0.017251014709472656 length of segment : 131 time for calcul the mask position with numpy : 0.0653691291809082 nb_pixel_total : 19396 time to create 1 rle with old method : 0.027463674545288086 length of segment : 165 time for calcul the mask position with numpy : 0.05587291717529297 nb_pixel_total : 33357 time to create 1 rle with old method : 0.04831433296203613 length of segment : 287 time for calcul the mask position with numpy : 0.17460203170776367 nb_pixel_total : 89396 time to create 1 rle with old method : 0.10797405242919922 length of segment : 203 time for calcul the mask position with numpy : 0.05163264274597168 nb_pixel_total : 8913 time to create 1 rle with old method : 0.022200822830200195 length of segment : 128 time for calcul the mask position with numpy : 0.025627851486206055 nb_pixel_total : 5105 time to create 1 rle with old method : 0.008095264434814453 length of segment : 71 time for calcul the mask position with numpy : 0.27805399894714355 nb_pixel_total : 139160 time to create 1 rle with old method : 0.2013106346130371 length of segment : 450 time for calcul the mask position with numpy : 0.05393815040588379 nb_pixel_total : 23615 time to create 1 rle with old method : 0.030305862426757812 length of segment : 258 time for calcul the mask position with numpy : 0.032257080078125 nb_pixel_total : 5439 time to create 1 rle with old method : 0.011359930038452148 length of segment : 90 time for calcul the mask position with numpy : 0.12132143974304199 nb_pixel_total : 29913 time to create 1 rle with old method : 0.05205941200256348 length of segment : 253 time for calcul the mask position with numpy : 0.15775299072265625 nb_pixel_total : 69705 time to create 1 rle with old method : 0.08560562133789062 length of segment : 241 time for calcul the mask position with numpy : 0.06692314147949219 nb_pixel_total : 15537 time to create 1 rle with old method : 0.023034334182739258 length of segment : 120 time for calcul the mask position with numpy : 0.40093278884887695 nb_pixel_total : 119566 time to create 1 rle with old method : 0.1353006362915039 length of segment : 450 time for calcul the mask position with numpy : 0.07361006736755371 nb_pixel_total : 12316 time to create 1 rle with old method : 0.01856684684753418 length of segment : 355 time for calcul the mask position with numpy : 0.2725193500518799 nb_pixel_total : 75569 time to create 1 rle with old method : 0.09227490425109863 length of segment : 305 time for calcul the mask position with numpy : 0.16128230094909668 nb_pixel_total : 43083 time to create 1 rle with old method : 0.0527338981628418 length of segment : 269 time for calcul the mask position with numpy : 0.10695481300354004 nb_pixel_total : 32189 time to create 1 rle with old method : 0.0423431396484375 length of segment : 172 time for calcul the mask position with numpy : 0.1805739402770996 nb_pixel_total : 58627 time to create 1 rle with old method : 0.07048821449279785 length of segment : 350 time for calcul the mask position with numpy : 0.3014216423034668 nb_pixel_total : 92381 time to create 1 rle with old method : 0.09716463088989258 length of segment : 393 time for calcul the mask position with numpy : 0.3131728172302246 nb_pixel_total : 102688 time to create 1 rle with old method : 0.11744308471679688 length of segment : 404 time for calcul the mask position with numpy : 0.10584712028503418 nb_pixel_total : 19593 time to create 1 rle with old method : 0.024370908737182617 length of segment : 207 time for calcul the mask position with numpy : 0.14006948471069336 nb_pixel_total : 36679 time to create 1 rle with old method : 0.05484414100646973 length of segment : 199 time for calcul the mask position with numpy : 0.017067670822143555 nb_pixel_total : 11871 time to create 1 rle with old method : 0.01382899284362793 length of segment : 89 time for calcul the mask position with numpy : 0.012339591979980469 nb_pixel_total : 10638 time to create 1 rle with old method : 0.012570858001708984 length of segment : 97 time for calcul the mask position with numpy : 0.06666755676269531 nb_pixel_total : 30708 time to create 1 rle with old method : 0.04813027381896973 length of segment : 188 time for calcul the mask position with numpy : 0.14129018783569336 nb_pixel_total : 59543 time to create 1 rle with old method : 0.0746002197265625 length of segment : 188 time for calcul the mask position with numpy : 0.09169936180114746 nb_pixel_total : 25156 time to create 1 rle with old method : 0.03381705284118652 length of segment : 219 time for calcul the mask position with numpy : 0.08883261680603027 nb_pixel_total : 24305 time to create 1 rle with old method : 0.0338444709777832 length of segment : 177 time for calcul the mask position with numpy : 0.12393379211425781 nb_pixel_total : 48249 time to create 1 rle with old method : 0.0591120719909668 length of segment : 141 time for calcul the mask position with numpy : 0.07264280319213867 nb_pixel_total : 21229 time to create 1 rle with old method : 0.028104066848754883 length of segment : 183 time for calcul the mask position with numpy : 0.15254878997802734 nb_pixel_total : 52486 time to create 1 rle with old method : 0.07449889183044434 length of segment : 329 time for calcul the mask position with numpy : 0.36092591285705566 nb_pixel_total : 282124 time to create 1 rle with new method : 0.019952774047851562 length of segment : 721 time for calcul the mask position with numpy : 0.27010273933410645 nb_pixel_total : 91037 time to create 1 rle with old method : 0.11332082748413086 length of segment : 338 time for calcul the mask position with numpy : 0.047028541564941406 nb_pixel_total : 110179 time to create 1 rle with old method : 0.13268399238586426 length of segment : 405 time for calcul the mask position with numpy : 0.02749156951904297 nb_pixel_total : 17203 time to create 1 rle with old method : 0.0246274471282959 length of segment : 132 time for calcul the mask position with numpy : 0.016797542572021484 nb_pixel_total : 7572 time to create 1 rle with old method : 0.012604713439941406 length of segment : 103 time for calcul the mask position with numpy : 0.0015637874603271484 nb_pixel_total : 7707 time to create 1 rle with old method : 0.00987863540649414 length of segment : 133 time for calcul the mask position with numpy : 0.007216691970825195 nb_pixel_total : 11783 time to create 1 rle with old method : 0.020646333694458008 length of segment : 150 time for calcul the mask position with numpy : 0.08324790000915527 nb_pixel_total : 71103 time to create 1 rle with old method : 0.08370304107666016 length of segment : 342 time for calcul the mask position with numpy : 0.0057866573333740234 nb_pixel_total : 11624 time to create 1 rle with old method : 0.014783382415771484 length of segment : 229 time for calcul the mask position with numpy : 0.062375545501708984 nb_pixel_total : 15502 time to create 1 rle with old method : 0.023197174072265625 length of segment : 111 time for calcul the mask position with numpy : 0.06716084480285645 nb_pixel_total : 9283 time to create 1 rle with old method : 0.015806913375854492 length of segment : 140 time for calcul the mask position with numpy : 0.3763389587402344 nb_pixel_total : 107992 time to create 1 rle with old method : 0.12950611114501953 length of segment : 357 time for calcul the mask position with numpy : 0.08289909362792969 nb_pixel_total : 12551 time to create 1 rle with old method : 0.0192720890045166 length of segment : 130 time for calcul the mask position with numpy : 0.1441051959991455 nb_pixel_total : 42123 time to create 1 rle with old method : 0.06103396415710449 length of segment : 212 time for calcul the mask position with numpy : 0.08275365829467773 nb_pixel_total : 16250 time to create 1 rle with old method : 0.02358555793762207 length of segment : 310 time for calcul the mask position with numpy : 0.11350107192993164 nb_pixel_total : 27694 time to create 1 rle with old method : 0.033585548400878906 length of segment : 231 time for calcul the mask position with numpy : 0.3439614772796631 nb_pixel_total : 88620 time to create 1 rle with old method : 0.10661721229553223 length of segment : 380 time for calcul the mask position with numpy : 0.07413434982299805 nb_pixel_total : 16940 time to create 1 rle with old method : 0.02643585205078125 length of segment : 110 time for calcul the mask position with numpy : 0.26067280769348145 nb_pixel_total : 75892 time to create 1 rle with old method : 0.08890676498413086 length of segment : 412 time for calcul the mask position with numpy : 0.12743353843688965 nb_pixel_total : 50598 time to create 1 rle with old method : 0.06331682205200195 length of segment : 275 time for calcul the mask position with numpy : 0.03303241729736328 nb_pixel_total : 10652 time to create 1 rle with old method : 0.017104387283325195 length of segment : 130 time for calcul the mask position with numpy : 0.3465299606323242 nb_pixel_total : 96483 time to create 1 rle with old method : 0.10971832275390625 length of segment : 409 time for calcul the mask position with numpy : 0.0982980728149414 nb_pixel_total : 11160 time to create 1 rle with old method : 0.017853498458862305 length of segment : 209 time for calcul the mask position with numpy : 0.11505293846130371 nb_pixel_total : 14748 time to create 1 rle with old method : 0.022906780242919922 length of segment : 315 time for calcul the mask position with numpy : 0.14710259437561035 nb_pixel_total : 57030 time to create 1 rle with old method : 0.06696557998657227 length of segment : 319 time for calcul the mask position with numpy : 0.015534400939941406 nb_pixel_total : 3338 time to create 1 rle with old method : 0.0039899349212646484 length of segment : 53 time for calcul the mask position with numpy : 0.00948953628540039 nb_pixel_total : 4328 time to create 1 rle with old method : 0.006420612335205078 length of segment : 67 time for calcul the mask position with numpy : 0.012972354888916016 nb_pixel_total : 8374 time to create 1 rle with old method : 0.012228727340698242 length of segment : 109 time for calcul the mask position with numpy : 0.06914091110229492 nb_pixel_total : 16214 time to create 1 rle with old method : 0.021987438201904297 length of segment : 125 time for calcul the mask position with numpy : 0.07005620002746582 nb_pixel_total : 18446 time to create 1 rle with old method : 0.02366161346435547 length of segment : 183 time for calcul the mask position with numpy : 0.10448431968688965 nb_pixel_total : 42185 time to create 1 rle with old method : 0.05079460144042969 length of segment : 284 time for calcul the mask position with numpy : 0.10277128219604492 nb_pixel_total : 34593 time to create 1 rle with old method : 0.04422450065612793 length of segment : 278 time for calcul the mask position with numpy : 0.26299595832824707 nb_pixel_total : 70119 time to create 1 rle with old method : 0.11013555526733398 length of segment : 274 time for calcul the mask position with numpy : 0.21910524368286133 nb_pixel_total : 42928 time to create 1 rle with old method : 0.05222487449645996 length of segment : 314 time for calcul the mask position with numpy : 0.06408166885375977 nb_pixel_total : 9111 time to create 1 rle with old method : 0.014887094497680664 length of segment : 159 time for calcul the mask position with numpy : 0.18582987785339355 nb_pixel_total : 55174 time to create 1 rle with old method : 0.0626227855682373 length of segment : 294 time for calcul the mask position with numpy : 0.045633554458618164 nb_pixel_total : 14969 time to create 1 rle with old method : 0.021846532821655273 length of segment : 138 time for calcul the mask position with numpy : 0.45520663261413574 nb_pixel_total : 153568 time to create 1 rle with new method : 0.014083385467529297 length of segment : 409 time for calcul the mask position with numpy : 0.10670137405395508 nb_pixel_total : 33093 time to create 1 rle with old method : 0.04182171821594238 length of segment : 198 time for calcul the mask position with numpy : 0.1418468952178955 nb_pixel_total : 81775 time to create 1 rle with old method : 0.09428596496582031 length of segment : 340 time for calcul the mask position with numpy : 0.09000825881958008 nb_pixel_total : 57932 time to create 1 rle with old method : 0.07022237777709961 length of segment : 402 time for calcul the mask position with numpy : 0.08096837997436523 nb_pixel_total : 18979 time to create 1 rle with old method : 0.0229949951171875 length of segment : 126 time for calcul the mask position with numpy : 0.07016706466674805 nb_pixel_total : 14457 time to create 1 rle with old method : 0.01751255989074707 length of segment : 128 time for calcul the mask position with numpy : 0.23578882217407227 nb_pixel_total : 44232 time to create 1 rle with old method : 0.053438425064086914 length of segment : 410 time for calcul the mask position with numpy : 0.07042407989501953 nb_pixel_total : 47013 time to create 1 rle with old method : 0.05870485305786133 length of segment : 348 time for calcul the mask position with numpy : 0.5029945373535156 nb_pixel_total : 257345 time to create 1 rle with new method : 0.02001810073852539 length of segment : 780 time for calcul the mask position with numpy : 0.02695155143737793 nb_pixel_total : 17728 time to create 1 rle with old method : 0.0247647762298584 length of segment : 209 time for calcul the mask position with numpy : 0.021875619888305664 nb_pixel_total : 14228 time to create 1 rle with old method : 0.02235722541809082 length of segment : 139 time for calcul the mask position with numpy : 0.12343835830688477 nb_pixel_total : 36962 time to create 1 rle with old method : 0.0472257137298584 length of segment : 270 time for calcul the mask position with numpy : 0.18191003799438477 nb_pixel_total : 78794 time to create 1 rle with old method : 0.09388113021850586 length of segment : 275 time for calcul the mask position with numpy : 0.36422109603881836 nb_pixel_total : 180901 time to create 1 rle with new method : 0.007911920547485352 length of segment : 415 time for calcul the mask position with numpy : 0.2055187225341797 nb_pixel_total : 25038 time to create 1 rle with old method : 0.04060721397399902 length of segment : 169 time for calcul the mask position with numpy : 0.05948638916015625 nb_pixel_total : 18392 time to create 1 rle with old method : 0.025125503540039062 length of segment : 140 time for calcul the mask position with numpy : 0.34902048110961914 nb_pixel_total : 87421 time to create 1 rle with old method : 0.10488176345825195 length of segment : 527 time for calcul the mask position with numpy : 0.3095409870147705 nb_pixel_total : 161420 time to create 1 rle with new method : 0.011731863021850586 length of segment : 656 time for calcul the mask position with numpy : 0.06803774833679199 nb_pixel_total : 17886 time to create 1 rle with old method : 0.025612831115722656 length of segment : 229 time for calcul the mask position with numpy : 0.049234867095947266 nb_pixel_total : 14514 time to create 1 rle with old method : 0.01971888542175293 length of segment : 147 time for calcul the mask position with numpy : 0.08479523658752441 nb_pixel_total : 18414 time to create 1 rle with old method : 0.024352312088012695 length of segment : 145 time for calcul the mask position with numpy : 0.0862586498260498 nb_pixel_total : 26835 time to create 1 rle with old method : 0.033533334732055664 length of segment : 347 time for calcul the mask position with numpy : 0.10282325744628906 nb_pixel_total : 57593 time to create 1 rle with old method : 0.07231688499450684 length of segment : 219 time for calcul the mask position with numpy : 0.26334691047668457 nb_pixel_total : 96064 time to create 1 rle with old method : 0.10835433006286621 length of segment : 354 time for calcul the mask position with numpy : 0.10496830940246582 nb_pixel_total : 38083 time to create 1 rle with old method : 0.04688405990600586 length of segment : 337 time for calcul the mask position with numpy : 0.18036890029907227 nb_pixel_total : 48981 time to create 1 rle with old method : 0.05090594291687012 length of segment : 461 time for calcul the mask position with numpy : 0.3195011615753174 nb_pixel_total : 172101 time to create 1 rle with new method : 0.011421680450439453 length of segment : 555 time for calcul the mask position with numpy : 0.013240575790405273 nb_pixel_total : 4574 time to create 1 rle with old method : 0.004965066909790039 length of segment : 70 time for calcul the mask position with numpy : 0.15577125549316406 nb_pixel_total : 82458 time to create 1 rle with old method : 0.09958291053771973 length of segment : 208 time for calcul the mask position with numpy : 0.06379437446594238 nb_pixel_total : 23580 time to create 1 rle with old method : 0.03189206123352051 length of segment : 174 time for calcul the mask position with numpy : 0.2221534252166748 nb_pixel_total : 94596 time to create 1 rle with old method : 0.11294245719909668 length of segment : 501 time for calcul the mask position with numpy : 0.031134366989135742 nb_pixel_total : 20205 time to create 1 rle with old method : 0.027552127838134766 length of segment : 195 time for calcul the mask position with numpy : 0.06442523002624512 nb_pixel_total : 27664 time to create 1 rle with old method : 0.034493446350097656 length of segment : 150 time for calcul the mask position with numpy : 0.10589170455932617 nb_pixel_total : 17786 time to create 1 rle with old method : 0.024560928344726562 length of segment : 220 time for calcul the mask position with numpy : 0.05684947967529297 nb_pixel_total : 16823 time to create 1 rle with old method : 0.019542217254638672 length of segment : 206 time for calcul the mask position with numpy : 0.054479360580444336 nb_pixel_total : 11752 time to create 1 rle with old method : 0.0173947811126709 length of segment : 178 time for calcul the mask position with numpy : 0.8611223697662354 nb_pixel_total : 607737 time to create 1 rle with new method : 0.10806441307067871 length of segment : 1071 time for calcul the mask position with numpy : 0.00849461555480957 nb_pixel_total : 38710 time to create 1 rle with old method : 0.046109676361083984 length of segment : 263 time for calcul the mask position with numpy : 0.017023801803588867 nb_pixel_total : 5652 time to create 1 rle with old method : 0.006725311279296875 length of segment : 50 time for calcul the mask position with numpy : 0.016855239868164062 nb_pixel_total : 16725 time to create 1 rle with old method : 0.03018331527709961 length of segment : 159 time for calcul the mask position with numpy : 0.13741731643676758 nb_pixel_total : 66412 time to create 1 rle with old method : 0.14124679565429688 length of segment : 355 time for calcul the mask position with numpy : 0.016491413116455078 nb_pixel_total : 5163 time to create 1 rle with old method : 0.010420799255371094 length of segment : 280 time for calcul the mask position with numpy : 0.08853816986083984 nb_pixel_total : 32254 time to create 1 rle with old method : 0.04720306396484375 length of segment : 253 time for calcul the mask position with numpy : 0.3473362922668457 nb_pixel_total : 12426 time to create 1 rle with old method : 0.01773667335510254 length of segment : 117 time for calcul the mask position with numpy : 0.06705379486083984 nb_pixel_total : 19682 time to create 1 rle with old method : 0.027929306030273438 length of segment : 124 time for calcul the mask position with numpy : 0.12654519081115723 nb_pixel_total : 60853 time to create 1 rle with old method : 0.08718252182006836 length of segment : 381 time for calcul the mask position with numpy : 0.3308675289154053 nb_pixel_total : 73872 time to create 1 rle with old method : 0.09214639663696289 length of segment : 308 time for calcul the mask position with numpy : 0.19770359992980957 nb_pixel_total : 37737 time to create 1 rle with old method : 0.04727458953857422 length of segment : 253 time for calcul the mask position with numpy : 0.03659939765930176 nb_pixel_total : 7868 time to create 1 rle with old method : 0.012446403503417969 length of segment : 101 time for calcul the mask position with numpy : 0.10560083389282227 nb_pixel_total : 28030 time to create 1 rle with old method : 0.03924965858459473 length of segment : 177 time for calcul the mask position with numpy : 0.18024158477783203 nb_pixel_total : 30880 time to create 1 rle with old method : 0.04452037811279297 length of segment : 220 time for calcul the mask position with numpy : 0.034481048583984375 nb_pixel_total : 5753 time to create 1 rle with old method : 0.01153707504272461 length of segment : 56 time for calcul the mask position with numpy : 0.7231645584106445 nb_pixel_total : 156848 time to create 1 rle with new method : 0.012628555297851562 length of segment : 717 time for calcul the mask position with numpy : 0.16777539253234863 nb_pixel_total : 41468 time to create 1 rle with old method : 0.051102638244628906 length of segment : 270 time for calcul the mask position with numpy : 0.030781984329223633 nb_pixel_total : 11207 time to create 1 rle with old method : 0.019118309020996094 length of segment : 117 time for calcul the mask position with numpy : 0.010564327239990234 nb_pixel_total : 5824 time to create 1 rle with old method : 0.010639667510986328 length of segment : 75 time for calcul the mask position with numpy : 0.14338278770446777 nb_pixel_total : 31152 time to create 1 rle with old method : 0.04320573806762695 length of segment : 229 time for calcul the mask position with numpy : 0.07091093063354492 nb_pixel_total : 11867 time to create 1 rle with old method : 0.018996715545654297 length of segment : 169 time for calcul the mask position with numpy : 0.049095869064331055 nb_pixel_total : 19115 time to create 1 rle with old method : 0.026375293731689453 length of segment : 209 time for calcul the mask position with numpy : 0.14516305923461914 nb_pixel_total : 34781 time to create 1 rle with old method : 0.0444033145904541 length of segment : 271 time for calcul the mask position with numpy : 0.2159423828125 nb_pixel_total : 43793 time to create 1 rle with old method : 0.05801105499267578 length of segment : 323 time for calcul the mask position with numpy : 0.008698701858520508 nb_pixel_total : 7483 time to create 1 rle with old method : 0.015295267105102539 length of segment : 85 time for calcul the mask position with numpy : 0.26884913444519043 nb_pixel_total : 38884 time to create 1 rle with old method : 0.04825568199157715 length of segment : 483 time for calcul the mask position with numpy : 0.2614774703979492 nb_pixel_total : 57028 time to create 1 rle with old method : 0.06780529022216797 length of segment : 462 time for calcul the mask position with numpy : 0.24141883850097656 nb_pixel_total : 72915 time to create 1 rle with old method : 0.08930039405822754 length of segment : 392 time for calcul the mask position with numpy : 0.19167423248291016 nb_pixel_total : 29996 time to create 1 rle with old method : 0.03793740272521973 length of segment : 267 time for calcul the mask position with numpy : 0.0553889274597168 nb_pixel_total : 12021 time to create 1 rle with old method : 0.023387432098388672 length of segment : 153 time for calcul the mask position with numpy : 0.3497965335845947 nb_pixel_total : 119548 time to create 1 rle with old method : 0.13611412048339844 length of segment : 575 time for calcul the mask position with numpy : 0.013682365417480469 nb_pixel_total : 3121 time to create 1 rle with old method : 0.009061574935913086 length of segment : 60 time for calcul the mask position with numpy : 0.08401799201965332 nb_pixel_total : 15839 time to create 1 rle with old method : 0.01802849769592285 length of segment : 137 time for calcul the mask position with numpy : 0.09468817710876465 nb_pixel_total : 35799 time to create 1 rle with old method : 0.04460716247558594 length of segment : 291 time for calcul the mask position with numpy : 0.03527021408081055 nb_pixel_total : 15402 time to create 1 rle with old method : 0.022364377975463867 length of segment : 158 time for calcul the mask position with numpy : 0.23676204681396484 nb_pixel_total : 53597 time to create 1 rle with old method : 0.06845760345458984 length of segment : 307 time for calcul the mask position with numpy : 0.07107281684875488 nb_pixel_total : 22952 time to create 1 rle with old method : 0.03128314018249512 length of segment : 184 time for calcul the mask position with numpy : 0.08380007743835449 nb_pixel_total : 16920 time to create 1 rle with old method : 0.0242154598236084 length of segment : 277 time for calcul the mask position with numpy : 0.35225534439086914 nb_pixel_total : 139794 time to create 1 rle with old method : 0.15776753425598145 length of segment : 714 time for calcul the mask position with numpy : 0.6091201305389404 nb_pixel_total : 152572 time to create 1 rle with new method : 0.015721559524536133 length of segment : 585 time for calcul the mask position with numpy : 0.03690505027770996 nb_pixel_total : 36664 time to create 1 rle with old method : 0.04268336296081543 length of segment : 307 time for calcul the mask position with numpy : 0.022365331649780273 nb_pixel_total : 3593 time to create 1 rle with old method : 0.00803995132446289 length of segment : 78 time for calcul the mask position with numpy : 0.02780771255493164 nb_pixel_total : 6776 time to create 1 rle with old method : 0.010696172714233398 length of segment : 95 time for calcul the mask position with numpy : 0.08826494216918945 nb_pixel_total : 18104 time to create 1 rle with old method : 0.025513648986816406 length of segment : 161 time for calcul the mask position with numpy : 0.0763857364654541 nb_pixel_total : 53079 time to create 1 rle with old method : 0.06148838996887207 length of segment : 268 time for calcul the mask position with numpy : 0.007573843002319336 nb_pixel_total : 3489 time to create 1 rle with old method : 0.004010438919067383 length of segment : 62 time for calcul the mask position with numpy : 0.029148578643798828 nb_pixel_total : 15533 time to create 1 rle with old method : 0.021783113479614258 length of segment : 175 time for calcul the mask position with numpy : 0.0821073055267334 nb_pixel_total : 21331 time to create 1 rle with old method : 0.0302581787109375 length of segment : 267 time for calcul the mask position with numpy : 0.0705416202545166 nb_pixel_total : 77459 time to create 1 rle with old method : 0.09758114814758301 length of segment : 454 time for calcul the mask position with numpy : 0.051854610443115234 nb_pixel_total : 22268 time to create 1 rle with old method : 0.02943253517150879 length of segment : 132 time for calcul the mask position with numpy : 0.5394759178161621 nb_pixel_total : 241324 time to create 1 rle with new method : 0.01192617416381836 length of segment : 570 time for calcul the mask position with numpy : 0.012310504913330078 nb_pixel_total : 4889 time to create 1 rle with old method : 0.009843111038208008 length of segment : 237 time for calcul the mask position with numpy : 0.07997345924377441 nb_pixel_total : 15829 time to create 1 rle with old method : 0.022440195083618164 length of segment : 130 time for calcul the mask position with numpy : 0.29417943954467773 nb_pixel_total : 85826 time to create 1 rle with old method : 0.09999966621398926 length of segment : 263 time for calcul the mask position with numpy : 0.24897098541259766 nb_pixel_total : 16394 time to create 1 rle with old method : 0.026560068130493164 length of segment : 322 time for calcul the mask position with numpy : 0.04394078254699707 nb_pixel_total : 10292 time to create 1 rle with old method : 0.012112617492675781 length of segment : 140 time for calcul the mask position with numpy : 0.05515313148498535 nb_pixel_total : 24760 time to create 1 rle with old method : 0.03329205513000488 length of segment : 192 time for calcul the mask position with numpy : 0.0016129016876220703 nb_pixel_total : 3186 time to create 1 rle with old method : 0.004049062728881836 length of segment : 100 time for calcul the mask position with numpy : 0.000919342041015625 nb_pixel_total : 12230 time to create 1 rle with old method : 0.014129400253295898 length of segment : 137 time for calcul the mask position with numpy : 0.37627339363098145 nb_pixel_total : 166236 time to create 1 rle with new method : 0.01702404022216797 length of segment : 473 time for calcul the mask position with numpy : 0.006900310516357422 nb_pixel_total : 40394 time to create 1 rle with old method : 0.06251811981201172 length of segment : 322 time for calcul the mask position with numpy : 0.005346775054931641 nb_pixel_total : 19029 time to create 1 rle with old method : 0.023405790328979492 length of segment : 149 time for calcul the mask position with numpy : 0.0005114078521728516 nb_pixel_total : 14044 time to create 1 rle with old method : 0.016693830490112305 length of segment : 197 time for calcul the mask position with numpy : 0.0003333091735839844 nb_pixel_total : 11408 time to create 1 rle with old method : 0.013429880142211914 length of segment : 281 time for calcul the mask position with numpy : 0.0032949447631835938 nb_pixel_total : 3281 time to create 1 rle with old method : 0.003954648971557617 length of segment : 63 time for calcul the mask position with numpy : 0.08326363563537598 nb_pixel_total : 23556 time to create 1 rle with old method : 0.035814762115478516 length of segment : 213 time for calcul the mask position with numpy : 0.004489898681640625 nb_pixel_total : 131264 time to create 1 rle with old method : 0.14884614944458008 length of segment : 745 time for calcul the mask position with numpy : 0.14911746978759766 nb_pixel_total : 51761 time to create 1 rle with old method : 0.07335400581359863 length of segment : 252 time for calcul the mask position with numpy : 0.0014452934265136719 nb_pixel_total : 34386 time to create 1 rle with old method : 0.04031944274902344 length of segment : 303 time for calcul the mask position with numpy : 0.13941383361816406 nb_pixel_total : 40914 time to create 1 rle with old method : 0.04664301872253418 length of segment : 283 time for calcul the mask position with numpy : 0.18620038032531738 nb_pixel_total : 47777 time to create 1 rle with old method : 0.06279850006103516 length of segment : 324 time for calcul the mask position with numpy : 0.22976255416870117 nb_pixel_total : 55781 time to create 1 rle with old method : 0.07447004318237305 length of segment : 541 time for calcul the mask position with numpy : 0.33871030807495117 nb_pixel_total : 91965 time to create 1 rle with old method : 0.1136317253112793 length of segment : 458 time for calcul the mask position with numpy : 0.0874338150024414 nb_pixel_total : 17643 time to create 1 rle with old method : 0.026061534881591797 length of segment : 192 time for calcul the mask position with numpy : 0.40526318550109863 nb_pixel_total : 73234 time to create 1 rle with old method : 0.08948659896850586 length of segment : 602 time for calcul the mask position with numpy : 0.8760421276092529 nb_pixel_total : 267996 time to create 1 rle with new method : 0.023648977279663086 length of segment : 845 time for calcul the mask position with numpy : 0.002198934555053711 nb_pixel_total : 13711 time to create 1 rle with old method : 0.015888214111328125 length of segment : 142 time for calcul the mask position with numpy : 0.1312406063079834 nb_pixel_total : 130044 time to create 1 rle with old method : 0.15494346618652344 length of segment : 523 time for calcul the mask position with numpy : 0.3691885471343994 nb_pixel_total : 95446 time to create 1 rle with old method : 0.11778378486633301 length of segment : 737 time for calcul the mask position with numpy : 0.23401618003845215 nb_pixel_total : 74793 time to create 1 rle with old method : 0.09227943420410156 length of segment : 412 time for calcul the mask position with numpy : 0.13767433166503906 nb_pixel_total : 46744 time to create 1 rle with old method : 0.06740880012512207 length of segment : 219 time for calcul the mask position with numpy : 0.07910037040710449 nb_pixel_total : 19850 time to create 1 rle with old method : 0.027773141860961914 length of segment : 236 time for calcul the mask position with numpy : 0.1820533275604248 nb_pixel_total : 65824 time to create 1 rle with old method : 0.08025431632995605 length of segment : 472 time for calcul the mask position with numpy : 0.0010297298431396484 nb_pixel_total : 27051 time to create 1 rle with old method : 0.030339956283569336 length of segment : 258 time for calcul the mask position with numpy : 0.09722232818603516 nb_pixel_total : 127431 time to create 1 rle with old method : 0.14340615272521973 length of segment : 928 time for calcul the mask position with numpy : 0.02010321617126465 nb_pixel_total : 5604 time to create 1 rle with old method : 0.01302480697631836 length of segment : 78 time for calcul the mask position with numpy : 0.06743955612182617 nb_pixel_total : 10700 time to create 1 rle with old method : 0.015703439712524414 length of segment : 147 time for calcul the mask position with numpy : 0.05814242362976074 nb_pixel_total : 14223 time to create 1 rle with old method : 0.02037835121154785 length of segment : 180 time for calcul the mask position with numpy : 0.1320333480834961 nb_pixel_total : 36184 time to create 1 rle with old method : 0.04630613327026367 length of segment : 257 time for calcul the mask position with numpy : 0.1719954013824463 nb_pixel_total : 26514 time to create 1 rle with old method : 0.03672599792480469 length of segment : 217 time for calcul the mask position with numpy : 0.5787441730499268 nb_pixel_total : 259573 time to create 1 rle with new method : 0.021196842193603516 length of segment : 596 time for calcul the mask position with numpy : 0.057421207427978516 nb_pixel_total : 24499 time to create 1 rle with old method : 0.032868146896362305 length of segment : 297 time for calcul the mask position with numpy : 0.11448407173156738 nb_pixel_total : 35329 time to create 1 rle with old method : 0.04867815971374512 length of segment : 407 time for calcul the mask position with numpy : 0.11255550384521484 nb_pixel_total : 57229 time to create 1 rle with old method : 0.07793855667114258 length of segment : 545 time for calcul the mask position with numpy : 0.1393723487854004 nb_pixel_total : 41863 time to create 1 rle with old method : 0.06490612030029297 length of segment : 279 time for calcul the mask position with numpy : 0.35509777069091797 nb_pixel_total : 191515 time to create 1 rle with new method : 0.01201939582824707 length of segment : 552 time for calcul the mask position with numpy : 0.09962153434753418 nb_pixel_total : 21814 time to create 1 rle with old method : 0.0293731689453125 length of segment : 173 time for calcul the mask position with numpy : 0.10207176208496094 nb_pixel_total : 43570 time to create 1 rle with old method : 0.055175065994262695 length of segment : 208 time for calcul the mask position with numpy : 0.02803206443786621 nb_pixel_total : 22935 time to create 1 rle with old method : 0.03086113929748535 length of segment : 173 time for calcul the mask position with numpy : 0.01476740837097168 nb_pixel_total : 73513 time to create 1 rle with old method : 0.08453702926635742 length of segment : 443 time for calcul the mask position with numpy : 0.15081000328063965 nb_pixel_total : 121633 time to create 1 rle with old method : 0.15444159507751465 length of segment : 570 time for calcul the mask position with numpy : 0.4183995723724365 nb_pixel_total : 191698 time to create 1 rle with new method : 0.016638755798339844 length of segment : 620 time for calcul the mask position with numpy : 0.07123160362243652 nb_pixel_total : 37685 time to create 1 rle with old method : 0.04282975196838379 length of segment : 217 time for calcul the mask position with numpy : 0.01985025405883789 nb_pixel_total : 8319 time to create 1 rle with old method : 0.0096435546875 length of segment : 81 time for calcul the mask position with numpy : 0.2434535026550293 nb_pixel_total : 52724 time to create 1 rle with old method : 0.06412696838378906 length of segment : 387 time for calcul the mask position with numpy : 0.22760009765625 nb_pixel_total : 106416 time to create 1 rle with old method : 0.15532517433166504 length of segment : 411 time for calcul the mask position with numpy : 0.06470823287963867 nb_pixel_total : 13998 time to create 1 rle with old method : 0.022566795349121094 length of segment : 162 time for calcul the mask position with numpy : 1.1852974891662598 nb_pixel_total : 229827 time to create 1 rle with new method : 0.03548932075500488 length of segment : 1077 time for calcul the mask position with numpy : 0.05237722396850586 nb_pixel_total : 12799 time to create 1 rle with old method : 0.020349502563476562 length of segment : 98 time for calcul the mask position with numpy : 0.28264379501342773 nb_pixel_total : 82739 time to create 1 rle with old method : 0.10352683067321777 length of segment : 286 time for calcul the mask position with numpy : 0.03572726249694824 nb_pixel_total : 8330 time to create 1 rle with old method : 0.015859365463256836 length of segment : 75 time for calcul the mask position with numpy : 0.17213749885559082 nb_pixel_total : 42448 time to create 1 rle with old method : 0.06319785118103027 length of segment : 297 time for calcul the mask position with numpy : 0.24991154670715332 nb_pixel_total : 96038 time to create 1 rle with old method : 0.11728477478027344 length of segment : 458 time for calcul the mask position with numpy : 0.39181065559387207 nb_pixel_total : 122160 time to create 1 rle with old method : 0.1716618537902832 length of segment : 388 time for calcul the mask position with numpy : 0.10734987258911133 nb_pixel_total : 28355 time to create 1 rle with old method : 0.0419619083404541 length of segment : 202 time for calcul the mask position with numpy : 0.03795170783996582 nb_pixel_total : 22292 time to create 1 rle with old method : 0.03358769416809082 length of segment : 142 time for calcul the mask position with numpy : 0.0708918571472168 nb_pixel_total : 9793 time to create 1 rle with old method : 0.017998695373535156 length of segment : 127 time for calcul the mask position with numpy : 0.11234164237976074 nb_pixel_total : 20633 time to create 1 rle with old method : 0.03762173652648926 length of segment : 222 time for calcul the mask position with numpy : 0.2378835678100586 nb_pixel_total : 136578 time to create 1 rle with old method : 0.16279196739196777 length of segment : 488 time for calcul the mask position with numpy : 0.022828102111816406 nb_pixel_total : 19155 time to create 1 rle with old method : 0.026627779006958008 length of segment : 163 time for calcul the mask position with numpy : 0.216477632522583 nb_pixel_total : 87180 time to create 1 rle with old method : 0.11220884323120117 length of segment : 288 time for calcul the mask position with numpy : 0.029793262481689453 nb_pixel_total : 3823 time to create 1 rle with old method : 0.0064432621002197266 length of segment : 95 time for calcul the mask position with numpy : 0.09591126441955566 nb_pixel_total : 46565 time to create 1 rle with old method : 0.056427001953125 length of segment : 213 time for calcul the mask position with numpy : 0.19757962226867676 nb_pixel_total : 52454 time to create 1 rle with old method : 0.06851816177368164 length of segment : 457 time for calcul the mask position with numpy : 0.023776769638061523 nb_pixel_total : 6896 time to create 1 rle with old method : 0.01083827018737793 length of segment : 72 time for calcul the mask position with numpy : 0.003407001495361328 nb_pixel_total : 45313 time to create 1 rle with old method : 0.053650617599487305 length of segment : 203 time for calcul the mask position with numpy : 0.0805518627166748 nb_pixel_total : 24456 time to create 1 rle with old method : 0.03147697448730469 length of segment : 181 time for calcul the mask position with numpy : 0.001996755599975586 nb_pixel_total : 5546 time to create 1 rle with old method : 0.006522655487060547 length of segment : 103 time for calcul the mask position with numpy : 0.07543730735778809 nb_pixel_total : 37424 time to create 1 rle with old method : 0.050566911697387695 length of segment : 241 time for calcul the mask position with numpy : 0.8200774192810059 nb_pixel_total : 565018 time to create 1 rle with new method : 0.05019068717956543 length of segment : 893 time for calcul the mask position with numpy : 0.009480476379394531 nb_pixel_total : 15214 time to create 1 rle with old method : 0.02141594886779785 length of segment : 123 time for calcul the mask position with numpy : 0.05188131332397461 nb_pixel_total : 10127 time to create 1 rle with old method : 0.016354799270629883 length of segment : 235 time for calcul the mask position with numpy : 0.06312274932861328 nb_pixel_total : 39301 time to create 1 rle with old method : 0.04797768592834473 length of segment : 163 time for calcul the mask position with numpy : 0.2793114185333252 nb_pixel_total : 143713 time to create 1 rle with old method : 0.16325759887695312 length of segment : 535 time for calcul the mask position with numpy : 0.15623831748962402 nb_pixel_total : 34501 time to create 1 rle with old method : 0.055579423904418945 length of segment : 301 time for calcul the mask position with numpy : 0.05176591873168945 nb_pixel_total : 15272 time to create 1 rle with old method : 0.024199247360229492 length of segment : 167 time for calcul the mask position with numpy : 0.09795594215393066 nb_pixel_total : 23228 time to create 1 rle with old method : 0.03261446952819824 length of segment : 341 time for calcul the mask position with numpy : 0.47429871559143066 nb_pixel_total : 418887 time to create 1 rle with new method : 0.04515981674194336 length of segment : 932 time for calcul the mask position with numpy : 0.03745532035827637 nb_pixel_total : 18983 time to create 1 rle with old method : 0.03913617134094238 length of segment : 191 time for calcul the mask position with numpy : 0.058691978454589844 nb_pixel_total : 27869 time to create 1 rle with old method : 0.04648089408874512 length of segment : 237 time for calcul the mask position with numpy : 0.026617050170898438 nb_pixel_total : 24523 time to create 1 rle with old method : 0.033226966857910156 length of segment : 173 time for calcul the mask position with numpy : 0.06868481636047363 nb_pixel_total : 49655 time to create 1 rle with old method : 0.06061267852783203 length of segment : 270 time for calcul the mask position with numpy : 0.97859787940979 nb_pixel_total : 224546 time to create 1 rle with new method : 0.03794360160827637 length of segment : 1054 time for calcul the mask position with numpy : 0.274519681930542 nb_pixel_total : 86549 time to create 1 rle with old method : 0.1141214370727539 length of segment : 316 time for calcul the mask position with numpy : 0.14798927307128906 nb_pixel_total : 36294 time to create 1 rle with old method : 0.04206061363220215 length of segment : 312 time for calcul the mask position with numpy : 0.2835373878479004 nb_pixel_total : 58103 time to create 1 rle with old method : 0.0712289810180664 length of segment : 478 time for calcul the mask position with numpy : 0.05446267127990723 nb_pixel_total : 46658 time to create 1 rle with old method : 0.05620312690734863 length of segment : 207 time for calcul the mask position with numpy : 0.19248080253601074 nb_pixel_total : 46191 time to create 1 rle with old method : 0.06679749488830566 length of segment : 444 time for calcul the mask position with numpy : 0.07585406303405762 nb_pixel_total : 20987 time to create 1 rle with old method : 0.02920675277709961 length of segment : 190 time for calcul the mask position with numpy : 0.051878929138183594 nb_pixel_total : 14470 time to create 1 rle with old method : 0.020554065704345703 length of segment : 156 time for calcul the mask position with numpy : 0.16506552696228027 nb_pixel_total : 50120 time to create 1 rle with old method : 0.056531429290771484 length of segment : 419 time for calcul the mask position with numpy : 0.03581118583679199 nb_pixel_total : 12559 time to create 1 rle with old method : 0.019059419631958008 length of segment : 104 time for calcul the mask position with numpy : 0.06318283081054688 nb_pixel_total : 25194 time to create 1 rle with old method : 0.03590869903564453 length of segment : 186 time for calcul the mask position with numpy : 0.2294163703918457 nb_pixel_total : 80148 time to create 1 rle with old method : 0.10443425178527832 length of segment : 670 time for calcul the mask position with numpy : 0.050896406173706055 nb_pixel_total : 40551 time to create 1 rle with old method : 0.05075407028198242 length of segment : 156 time for calcul the mask position with numpy : 0.04578995704650879 nb_pixel_total : 35750 time to create 1 rle with old method : 0.04331088066101074 length of segment : 245 time for calcul the mask position with numpy : 0.05888843536376953 nb_pixel_total : 14319 time to create 1 rle with old method : 0.02390575408935547 length of segment : 126 time for calcul the mask position with numpy : 0.06292891502380371 nb_pixel_total : 20270 time to create 1 rle with old method : 0.0288083553314209 length of segment : 135 time for calcul the mask position with numpy : 0.1281590461730957 nb_pixel_total : 92843 time to create 1 rle with old method : 0.10877776145935059 length of segment : 382 time for calcul the mask position with numpy : 0.028081178665161133 nb_pixel_total : 13831 time to create 1 rle with old method : 0.020304441452026367 length of segment : 185 time for calcul the mask position with numpy : 0.2978675365447998 nb_pixel_total : 97081 time to create 1 rle with old method : 0.1127777099609375 length of segment : 400 time for calcul the mask position with numpy : 0.003175973892211914 nb_pixel_total : 23499 time to create 1 rle with old method : 0.025867223739624023 length of segment : 182 time for calcul the mask position with numpy : 0.2050337791442871 nb_pixel_total : 142451 time to create 1 rle with old method : 0.16064071655273438 length of segment : 359 time for calcul the mask position with numpy : 0.04773139953613281 nb_pixel_total : 30309 time to create 1 rle with old method : 0.050438880920410156 length of segment : 222 time for calcul the mask position with numpy : 0.08745169639587402 nb_pixel_total : 18190 time to create 1 rle with old method : 0.019404172897338867 length of segment : 303 time for calcul the mask position with numpy : 0.012848615646362305 nb_pixel_total : 5965 time to create 1 rle with old method : 0.006478786468505859 length of segment : 73 time for calcul the mask position with numpy : 0.02438831329345703 nb_pixel_total : 49723 time to create 1 rle with old method : 0.052944183349609375 length of segment : 231 time for calcul the mask position with numpy : 0.1093299388885498 nb_pixel_total : 44024 time to create 1 rle with old method : 0.05472230911254883 length of segment : 319 time for calcul the mask position with numpy : 0.02542281150817871 nb_pixel_total : 17497 time to create 1 rle with old method : 0.02507758140563965 length of segment : 181 time for calcul the mask position with numpy : 0.33524513244628906 nb_pixel_total : 241667 time to create 1 rle with new method : 0.023778200149536133 length of segment : 766 time for calcul the mask position with numpy : 0.004717111587524414 nb_pixel_total : 8049 time to create 1 rle with old method : 0.013787269592285156 length of segment : 91 time for calcul the mask position with numpy : 0.03592038154602051 nb_pixel_total : 10414 time to create 1 rle with old method : 0.012117147445678711 length of segment : 162 time for calcul the mask position with numpy : 0.1348717212677002 nb_pixel_total : 149057 time to create 1 rle with old method : 0.1960594654083252 length of segment : 291 time for calcul the mask position with numpy : 0.22750282287597656 nb_pixel_total : 106917 time to create 1 rle with old method : 0.1327219009399414 length of segment : 394 time for calcul the mask position with numpy : 0.003482341766357422 nb_pixel_total : 17171 time to create 1 rle with old method : 0.01989126205444336 length of segment : 119 time for calcul the mask position with numpy : 0.0013911724090576172 nb_pixel_total : 33983 time to create 1 rle with old method : 0.04027366638183594 length of segment : 322 time for calcul the mask position with numpy : 0.1813678741455078 nb_pixel_total : 63481 time to create 1 rle with old method : 0.07096672058105469 length of segment : 336 time for calcul the mask position with numpy : 0.3959157466888428 nb_pixel_total : 121415 time to create 1 rle with old method : 0.14175748825073242 length of segment : 541 time for calcul the mask position with numpy : 0.20885109901428223 nb_pixel_total : 58415 time to create 1 rle with old method : 0.07388830184936523 length of segment : 450 time for calcul the mask position with numpy : 0.11655592918395996 nb_pixel_total : 32692 time to create 1 rle with old method : 0.04196476936340332 length of segment : 236 time for calcul the mask position with numpy : 0.6419336795806885 nb_pixel_total : 145732 time to create 1 rle with old method : 0.16547441482543945 length of segment : 829 time for calcul the mask position with numpy : 0.05219268798828125 nb_pixel_total : 8443 time to create 1 rle with old method : 0.011264562606811523 length of segment : 173 time for calcul the mask position with numpy : 0.1987900733947754 nb_pixel_total : 31269 time to create 1 rle with old method : 0.03937840461730957 length of segment : 388 time for calcul the mask position with numpy : 0.04484415054321289 nb_pixel_total : 11682 time to create 1 rle with old method : 0.018047571182250977 length of segment : 176 time for calcul the mask position with numpy : 0.6699233055114746 nb_pixel_total : 305256 time to create 1 rle with new method : 0.09134602546691895 length of segment : 848 time for calcul the mask position with numpy : 0.2724769115447998 nb_pixel_total : 50172 time to create 1 rle with old method : 0.06295251846313477 length of segment : 508 time for calcul the mask position with numpy : 0.10474562644958496 nb_pixel_total : 45017 time to create 1 rle with old method : 0.05825471878051758 length of segment : 270 time for calcul the mask position with numpy : 0.2151012420654297 nb_pixel_total : 41600 time to create 1 rle with old method : 0.06257820129394531 length of segment : 327 time for calcul the mask position with numpy : 0.3630087375640869 nb_pixel_total : 185279 time to create 1 rle with new method : 0.021332740783691406 length of segment : 518 time for calcul the mask position with numpy : 0.1685314178466797 nb_pixel_total : 68574 time to create 1 rle with old method : 0.08361053466796875 length of segment : 231 time for calcul the mask position with numpy : 0.005526542663574219 nb_pixel_total : 12420 time to create 1 rle with old method : 0.02591419219970703 length of segment : 168 time for calcul the mask position with numpy : 0.07091283798217773 nb_pixel_total : 47879 time to create 1 rle with old method : 0.0580747127532959 length of segment : 243 time for calcul the mask position with numpy : 0.014116048812866211 nb_pixel_total : 1658 time to create 1 rle with old method : 0.0034132003784179688 length of segment : 59 time for calcul the mask position with numpy : 0.0991964340209961 nb_pixel_total : 42905 time to create 1 rle with old method : 0.05001473426818848 length of segment : 218 time for calcul the mask position with numpy : 0.06100273132324219 nb_pixel_total : 25056 time to create 1 rle with old method : 0.03617238998413086 length of segment : 247 time for calcul the mask position with numpy : 0.17066049575805664 nb_pixel_total : 155750 time to create 1 rle with new method : 0.012818098068237305 length of segment : 412 time for calcul the mask position with numpy : 0.012020111083984375 nb_pixel_total : 32940 time to create 1 rle with old method : 0.04238629341125488 length of segment : 314 time for calcul the mask position with numpy : 0.11542105674743652 nb_pixel_total : 59196 time to create 1 rle with old method : 0.0713658332824707 length of segment : 328 time for calcul the mask position with numpy : 0.07271718978881836 nb_pixel_total : 27902 time to create 1 rle with old method : 0.03264260292053223 length of segment : 212 time for calcul the mask position with numpy : 0.07265281677246094 nb_pixel_total : 17605 time to create 1 rle with old method : 0.024854183197021484 length of segment : 239 time for calcul the mask position with numpy : 0.2614400386810303 nb_pixel_total : 352742 time to create 1 rle with new method : 0.025365114212036133 length of segment : 355 time for calcul the mask position with numpy : 0.08133077621459961 nb_pixel_total : 90498 time to create 1 rle with old method : 0.11527371406555176 length of segment : 439 time for calcul the mask position with numpy : 0.002988100051879883 nb_pixel_total : 37098 time to create 1 rle with old method : 0.03991508483886719 length of segment : 256 time for calcul the mask position with numpy : 0.03341484069824219 nb_pixel_total : 60548 time to create 1 rle with old method : 0.0860283374786377 length of segment : 495 time for calcul the mask position with numpy : 0.005808115005493164 nb_pixel_total : 2503 time to create 1 rle with old method : 0.003576993942260742 length of segment : 67 time for calcul the mask position with numpy : 0.022924184799194336 nb_pixel_total : 30342 time to create 1 rle with old method : 0.037138938903808594 length of segment : 177 time for calcul the mask position with numpy : 0.0394444465637207 nb_pixel_total : 12924 time to create 1 rle with old method : 0.026001453399658203 length of segment : 91 time for calcul the mask position with numpy : 0.060838937759399414 nb_pixel_total : 19507 time to create 1 rle with old method : 0.028127431869506836 length of segment : 225 time for calcul the mask position with numpy : 0.05898261070251465 nb_pixel_total : 24366 time to create 1 rle with old method : 0.028993606567382812 length of segment : 230 time for calcul the mask position with numpy : 0.07978129386901855 nb_pixel_total : 61646 time to create 1 rle with old method : 0.07325911521911621 length of segment : 547 time for calcul the mask position with numpy : 0.09507966041564941 nb_pixel_total : 95317 time to create 1 rle with old method : 0.10955953598022461 length of segment : 399 time for calcul the mask position with numpy : 0.0157320499420166 nb_pixel_total : 2809 time to create 1 rle with old method : 0.004583597183227539 length of segment : 106 time for calcul the mask position with numpy : 0.00508570671081543 nb_pixel_total : 109086 time to create 1 rle with old method : 0.11794042587280273 length of segment : 802 time for calcul the mask position with numpy : 0.04917311668395996 nb_pixel_total : 32435 time to create 1 rle with old method : 0.035199880599975586 length of segment : 155 time for calcul the mask position with numpy : 0.00035762786865234375 nb_pixel_total : 4404 time to create 1 rle with old method : 0.005008697509765625 length of segment : 144 time for calcul the mask position with numpy : 0.009387493133544922 nb_pixel_total : 15446 time to create 1 rle with old method : 0.017365694046020508 length of segment : 137 time for calcul the mask position with numpy : 0.04946303367614746 nb_pixel_total : 12600 time to create 1 rle with old method : 0.021535396575927734 length of segment : 150 time for calcul the mask position with numpy : 0.060236454010009766 nb_pixel_total : 16918 time to create 1 rle with old method : 0.028095245361328125 length of segment : 190 time for calcul the mask position with numpy : 0.12075066566467285 nb_pixel_total : 49056 time to create 1 rle with old method : 0.0572969913482666 length of segment : 296 time for calcul the mask position with numpy : 0.08741426467895508 nb_pixel_total : 28503 time to create 1 rle with old method : 0.032813310623168945 length of segment : 214 time for calcul the mask position with numpy : 0.27341318130493164 nb_pixel_total : 92597 time to create 1 rle with old method : 0.10477399826049805 length of segment : 346 time for calcul the mask position with numpy : 0.03603410720825195 nb_pixel_total : 10103 time to create 1 rle with old method : 0.01996302604675293 length of segment : 115 time for calcul the mask position with numpy : 0.05626797676086426 nb_pixel_total : 18017 time to create 1 rle with old method : 0.025114059448242188 length of segment : 174 time for calcul the mask position with numpy : 0.10052108764648438 nb_pixel_total : 35838 time to create 1 rle with old method : 0.050020694732666016 length of segment : 384 time for calcul the mask position with numpy : 0.056926727294921875 nb_pixel_total : 11867 time to create 1 rle with old method : 0.03281044960021973 length of segment : 111 time for calcul the mask position with numpy : 0.23391056060791016 nb_pixel_total : 157458 time to create 1 rle with new method : 0.013977766036987305 length of segment : 513 time for calcul the mask position with numpy : 0.1245269775390625 nb_pixel_total : 58439 time to create 1 rle with old method : 0.06792640686035156 length of segment : 248 time for calcul the mask position with numpy : 0.03244185447692871 nb_pixel_total : 16378 time to create 1 rle with old method : 0.022290706634521484 length of segment : 134 time for calcul the mask position with numpy : 0.4531068801879883 nb_pixel_total : 47963 time to create 1 rle with old method : 0.06535005569458008 length of segment : 326 time for calcul the mask position with numpy : 1.48614501953125 nb_pixel_total : 108509 time to create 1 rle with old method : 0.12406659126281738 length of segment : 354 time for calcul the mask position with numpy : 0.5914137363433838 nb_pixel_total : 39141 time to create 1 rle with old method : 0.06636238098144531 length of segment : 305 time for calcul the mask position with numpy : 0.0649869441986084 nb_pixel_total : 12010 time to create 1 rle with old method : 0.0332183837890625 length of segment : 179 time for calcul the mask position with numpy : 0.5719475746154785 nb_pixel_total : 53967 time to create 1 rle with old method : 0.05648016929626465 length of segment : 309 time for calcul the mask position with numpy : 0.524585485458374 nb_pixel_total : 91572 time to create 1 rle with old method : 0.10017228126525879 length of segment : 446 time for calcul the mask position with numpy : 0.1949443817138672 nb_pixel_total : 20742 time to create 1 rle with old method : 0.021802663803100586 length of segment : 151 time for calcul the mask position with numpy : 0.15346050262451172 nb_pixel_total : 4441 time to create 1 rle with old method : 0.00906515121459961 length of segment : 75 time for calcul the mask position with numpy : 0.015970945358276367 nb_pixel_total : 11064 time to create 1 rle with old method : 0.020636320114135742 length of segment : 107 time for calcul the mask position with numpy : 1.6276473999023438 nb_pixel_total : 62392 time to create 1 rle with old method : 0.06529760360717773 length of segment : 533 time for calcul the mask position with numpy : 0.32056450843811035 nb_pixel_total : 20523 time to create 1 rle with old method : 0.02720808982849121 length of segment : 174 time for calcul the mask position with numpy : 0.2604193687438965 nb_pixel_total : 37037 time to create 1 rle with old method : 0.06937623023986816 length of segment : 307 time for calcul the mask position with numpy : 0.06737732887268066 nb_pixel_total : 32643 time to create 1 rle with old method : 0.042809486389160156 length of segment : 279 time for calcul the mask position with numpy : 0.09573817253112793 nb_pixel_total : 41841 time to create 1 rle with old method : 0.06271982192993164 length of segment : 228 time for calcul the mask position with numpy : 0.3515748977661133 nb_pixel_total : 55372 time to create 1 rle with old method : 0.06935000419616699 length of segment : 304 time for calcul the mask position with numpy : 0.1581099033355713 nb_pixel_total : 31103 time to create 1 rle with old method : 0.04649519920349121 length of segment : 210 time for calcul the mask position with numpy : 0.2313237190246582 nb_pixel_total : 30634 time to create 1 rle with old method : 0.04065418243408203 length of segment : 264 time for calcul the mask position with numpy : 0.0007112026214599609 nb_pixel_total : 27192 time to create 1 rle with old method : 0.051058292388916016 length of segment : 207 time for calcul the mask position with numpy : 0.1595776081085205 nb_pixel_total : 38760 time to create 1 rle with old method : 0.05841660499572754 length of segment : 271 time for calcul the mask position with numpy : 0.008850574493408203 nb_pixel_total : 19082 time to create 1 rle with old method : 0.03472113609313965 length of segment : 151 time for calcul the mask position with numpy : 0.8078033924102783 nb_pixel_total : 132202 time to create 1 rle with old method : 0.18271875381469727 length of segment : 371 time for calcul the mask position with numpy : 0.6211884021759033 nb_pixel_total : 101164 time to create 1 rle with old method : 0.11691999435424805 length of segment : 448 time for calcul the mask position with numpy : 0.3673243522644043 nb_pixel_total : 284900 time to create 1 rle with new method : 0.028692007064819336 length of segment : 505 time for calcul the mask position with numpy : 0.05297398567199707 nb_pixel_total : 10945 time to create 1 rle with old method : 0.02014613151550293 length of segment : 123 time for calcul the mask position with numpy : 0.11097431182861328 nb_pixel_total : 26350 time to create 1 rle with old method : 0.03371739387512207 length of segment : 268 time for calcul the mask position with numpy : 0.08261466026306152 nb_pixel_total : 52237 time to create 1 rle with old method : 0.06716752052307129 length of segment : 284 time for calcul the mask position with numpy : 0.04172348976135254 nb_pixel_total : 13785 time to create 1 rle with old method : 0.02293705940246582 length of segment : 78 time for calcul the mask position with numpy : 0.033380746841430664 nb_pixel_total : 59928 time to create 1 rle with old method : 0.08838677406311035 length of segment : 371 time for calcul the mask position with numpy : 0.13289546966552734 nb_pixel_total : 131098 time to create 1 rle with old method : 0.18503594398498535 length of segment : 354 time for calcul the mask position with numpy : 0.0004994869232177734 nb_pixel_total : 13469 time to create 1 rle with old method : 0.017609596252441406 length of segment : 97 time for calcul the mask position with numpy : 0.06709098815917969 nb_pixel_total : 18802 time to create 1 rle with old method : 0.026615619659423828 length of segment : 152 time for calcul the mask position with numpy : 0.009664058685302734 nb_pixel_total : 18120 time to create 1 rle with old method : 0.023269176483154297 length of segment : 145 time for calcul the mask position with numpy : 0.06396245956420898 nb_pixel_total : 12971 time to create 1 rle with old method : 0.021767139434814453 length of segment : 313 time for calcul the mask position with numpy : 0.06044125556945801 nb_pixel_total : 19005 time to create 1 rle with old method : 0.02288365364074707 length of segment : 187 time for calcul the mask position with numpy : 0.8087375164031982 nb_pixel_total : 269513 time to create 1 rle with new method : 0.02879476547241211 length of segment : 886 time for calcul the mask position with numpy : 0.1247870922088623 nb_pixel_total : 48519 time to create 1 rle with old method : 0.06264519691467285 length of segment : 238 time for calcul the mask position with numpy : 0.0628054141998291 nb_pixel_total : 22661 time to create 1 rle with old method : 0.03038954734802246 length of segment : 176 time for calcul the mask position with numpy : 0.044397592544555664 nb_pixel_total : 8600 time to create 1 rle with old method : 0.015740633010864258 length of segment : 142 time for calcul the mask position with numpy : 0.10982632637023926 nb_pixel_total : 58114 time to create 1 rle with old method : 0.07009553909301758 length of segment : 258 time for calcul the mask position with numpy : 0.017977237701416016 nb_pixel_total : 5846 time to create 1 rle with old method : 0.00891256332397461 length of segment : 76 time for calcul the mask position with numpy : 0.28818440437316895 nb_pixel_total : 39265 time to create 1 rle with old method : 0.054773807525634766 length of segment : 447 time for calcul the mask position with numpy : 0.19309616088867188 nb_pixel_total : 101231 time to create 1 rle with old method : 0.11657452583312988 length of segment : 400 time for calcul the mask position with numpy : 0.09290337562561035 nb_pixel_total : 39820 time to create 1 rle with old method : 0.057581186294555664 length of segment : 161 time for calcul the mask position with numpy : 0.02317643165588379 nb_pixel_total : 8337 time to create 1 rle with old method : 0.015941143035888672 length of segment : 52 time for calcul the mask position with numpy : 0.29274654388427734 nb_pixel_total : 71075 time to create 1 rle with old method : 0.08999395370483398 length of segment : 421 time for calcul the mask position with numpy : 0.02596116065979004 nb_pixel_total : 40160 time to create 1 rle with old method : 0.04883074760437012 length of segment : 477 time for calcul the mask position with numpy : 0.1591331958770752 nb_pixel_total : 135271 time to create 1 rle with old method : 0.15582895278930664 length of segment : 635 time for calcul the mask position with numpy : 0.1298503875732422 nb_pixel_total : 101753 time to create 1 rle with old method : 0.12095475196838379 length of segment : 508 time for calcul the mask position with numpy : 0.0034995079040527344 nb_pixel_total : 11083 time to create 1 rle with old method : 0.01469874382019043 length of segment : 156 time for calcul the mask position with numpy : 0.0011219978332519531 nb_pixel_total : 14994 time to create 1 rle with old method : 0.033162593841552734 length of segment : 223 time for calcul the mask position with numpy : 0.07399797439575195 nb_pixel_total : 14510 time to create 1 rle with old method : 0.020351886749267578 length of segment : 184 time for calcul the mask position with numpy : 0.05906224250793457 nb_pixel_total : 31417 time to create 1 rle with old method : 0.04370522499084473 length of segment : 146 time for calcul the mask position with numpy : 0.2093651294708252 nb_pixel_total : 118532 time to create 1 rle with old method : 0.1466655731201172 length of segment : 471 time for calcul the mask position with numpy : 0.020537137985229492 nb_pixel_total : 20334 time to create 1 rle with old method : 0.03209948539733887 length of segment : 278 time for calcul the mask position with numpy : 0.00036334991455078125 nb_pixel_total : 5066 time to create 1 rle with old method : 0.006256818771362305 length of segment : 154 time for calcul the mask position with numpy : 0.2818295955657959 nb_pixel_total : 110782 time to create 1 rle with old method : 0.138458251953125 length of segment : 455 time for calcul the mask position with numpy : 0.0001919269561767578 nb_pixel_total : 6371 time to create 1 rle with old method : 0.007426738739013672 length of segment : 90 time for calcul the mask position with numpy : 0.14876532554626465 nb_pixel_total : 45404 time to create 1 rle with old method : 0.0573732852935791 length of segment : 305 time for calcul the mask position with numpy : 0.2974088191986084 nb_pixel_total : 109396 time to create 1 rle with old method : 0.13615822792053223 length of segment : 470 time for calcul the mask position with numpy : 0.052939414978027344 nb_pixel_total : 50988 time to create 1 rle with old method : 0.0619196891784668 length of segment : 230 time for calcul the mask position with numpy : 1.7641966342926025 nb_pixel_total : 822057 time to create 1 rle with new method : 0.09792351722717285 length of segment : 1203 time for calcul the mask position with numpy : 0.045403480529785156 nb_pixel_total : 18010 time to create 1 rle with old method : 0.02461099624633789 length of segment : 151 time for calcul the mask position with numpy : 0.24713420867919922 nb_pixel_total : 157636 time to create 1 rle with new method : 0.008233308792114258 length of segment : 500 time for calcul the mask position with numpy : 0.16973423957824707 nb_pixel_total : 53781 time to create 1 rle with old method : 0.06396818161010742 length of segment : 685 time for calcul the mask position with numpy : 0.009013652801513672 nb_pixel_total : 5285 time to create 1 rle with old method : 0.010761260986328125 length of segment : 66 time for calcul the mask position with numpy : 0.05699467658996582 nb_pixel_total : 17517 time to create 1 rle with old method : 0.028137683868408203 length of segment : 310 time for calcul the mask position with numpy : 0.10804295539855957 nb_pixel_total : 70733 time to create 1 rle with old method : 0.08386874198913574 length of segment : 741 time for calcul the mask position with numpy : 0.05480360984802246 nb_pixel_total : 20178 time to create 1 rle with old method : 0.02594923973083496 length of segment : 190 time for calcul the mask position with numpy : 0.06956791877746582 nb_pixel_total : 96594 time to create 1 rle with old method : 0.11366677284240723 length of segment : 354 time for calcul the mask position with numpy : 0.04510235786437988 nb_pixel_total : 74881 time to create 1 rle with old method : 0.08930659294128418 length of segment : 353 time for calcul the mask position with numpy : 0.23792076110839844 nb_pixel_total : 139966 time to create 1 rle with old method : 0.16695022583007812 length of segment : 927 time for calcul the mask position with numpy : 0.08384251594543457 nb_pixel_total : 54598 time to create 1 rle with old method : 0.06480669975280762 length of segment : 420 time for calcul the mask position with numpy : 0.0035626888275146484 nb_pixel_total : 27795 time to create 1 rle with old method : 0.03360176086425781 length of segment : 303 time for calcul the mask position with numpy : 0.03616523742675781 nb_pixel_total : 12739 time to create 1 rle with old method : 0.021580934524536133 length of segment : 165 time for calcul the mask position with numpy : 0.005972623825073242 nb_pixel_total : 8031 time to create 1 rle with old method : 0.013671398162841797 length of segment : 120 time for calcul the mask position with numpy : 0.00871133804321289 nb_pixel_total : 20568 time to create 1 rle with old method : 0.025689125061035156 length of segment : 163 time for calcul the mask position with numpy : 0.13828372955322266 nb_pixel_total : 106342 time to create 1 rle with old method : 0.1879279613494873 length of segment : 559 time for calcul the mask position with numpy : 0.001672506332397461 nb_pixel_total : 27120 time to create 1 rle with old method : 0.03070974349975586 length of segment : 267 time for calcul the mask position with numpy : 0.21002936363220215 nb_pixel_total : 128647 time to create 1 rle with old method : 0.146240234375 length of segment : 432 time for calcul the mask position with numpy : 0.008147954940795898 nb_pixel_total : 9557 time to create 1 rle with old method : 0.01459813117980957 length of segment : 128 time for calcul the mask position with numpy : 0.007131338119506836 nb_pixel_total : 21495 time to create 1 rle with old method : 0.027463912963867188 length of segment : 186 time for calcul the mask position with numpy : 0.0010869503021240234 nb_pixel_total : 29958 time to create 1 rle with old method : 0.03397798538208008 length of segment : 321 time for calcul the mask position with numpy : 0.16162896156311035 nb_pixel_total : 194133 time to create 1 rle with new method : 0.013126134872436523 length of segment : 527 time for calcul the mask position with numpy : 0.11529541015625 nb_pixel_total : 77036 time to create 1 rle with old method : 0.08849763870239258 length of segment : 354 time for calcul the mask position with numpy : 0.18147587776184082 nb_pixel_total : 53254 time to create 1 rle with old method : 0.0649569034576416 length of segment : 377 time for calcul the mask position with numpy : 0.03877758979797363 nb_pixel_total : 10209 time to create 1 rle with old method : 0.015970706939697266 length of segment : 149 time for calcul the mask position with numpy : 0.030799388885498047 nb_pixel_total : 10392 time to create 1 rle with old method : 0.012217998504638672 length of segment : 114 time for calcul the mask position with numpy : 0.02092599868774414 nb_pixel_total : 5958 time to create 1 rle with old method : 0.006880998611450195 length of segment : 87 time for calcul the mask position with numpy : 0.08549070358276367 nb_pixel_total : 29194 time to create 1 rle with old method : 0.04004073143005371 length of segment : 328 time for calcul the mask position with numpy : 0.058222293853759766 nb_pixel_total : 29952 time to create 1 rle with old method : 0.04744243621826172 length of segment : 372 time for calcul the mask position with numpy : 0.03802609443664551 nb_pixel_total : 14225 time to create 1 rle with old method : 0.021944522857666016 length of segment : 78 time for calcul the mask position with numpy : 0.08117508888244629 nb_pixel_total : 19715 time to create 1 rle with old method : 0.027077674865722656 length of segment : 264 time for calcul the mask position with numpy : 0.10387825965881348 nb_pixel_total : 35504 time to create 1 rle with old method : 0.04335904121398926 length of segment : 281 time for calcul the mask position with numpy : 0.08973097801208496 nb_pixel_total : 25176 time to create 1 rle with old method : 0.03664875030517578 length of segment : 169 time for calcul the mask position with numpy : 0.1963193416595459 nb_pixel_total : 88280 time to create 1 rle with old method : 0.10282230377197266 length of segment : 347 time for calcul the mask position with numpy : 0.39923095703125 nb_pixel_total : 225209 time to create 1 rle with new method : 0.016847848892211914 length of segment : 630 time for calcul the mask position with numpy : 0.008256673812866211 nb_pixel_total : 11727 time to create 1 rle with old method : 0.019508838653564453 length of segment : 130 time for calcul the mask position with numpy : 0.08173847198486328 nb_pixel_total : 10992 time to create 1 rle with old method : 0.02168726921081543 length of segment : 207 time for calcul the mask position with numpy : 0.19864439964294434 nb_pixel_total : 56025 time to create 1 rle with old method : 0.08871960639953613 length of segment : 214 time for calcul the mask position with numpy : 0.266071081161499 nb_pixel_total : 98975 time to create 1 rle with old method : 0.14941763877868652 length of segment : 406 time for calcul the mask position with numpy : 0.09525585174560547 nb_pixel_total : 24793 time to create 1 rle with old method : 0.03672528266906738 length of segment : 244 time for calcul the mask position with numpy : 0.06322407722473145 nb_pixel_total : 18010 time to create 1 rle with old method : 0.029723167419433594 length of segment : 196 time for calcul the mask position with numpy : 0.09434938430786133 nb_pixel_total : 23127 time to create 1 rle with old method : 0.030887126922607422 length of segment : 300 time for calcul the mask position with numpy : 0.1347637176513672 nb_pixel_total : 69408 time to create 1 rle with old method : 0.10207247734069824 length of segment : 427 time for calcul the mask position with numpy : 0.04490232467651367 nb_pixel_total : 28205 time to create 1 rle with old method : 0.04631209373474121 length of segment : 181 time for calcul the mask position with numpy : 0.010059356689453125 nb_pixel_total : 4092 time to create 1 rle with old method : 0.009073495864868164 length of segment : 75 time for calcul the mask position with numpy : 0.15860342979431152 nb_pixel_total : 63747 time to create 1 rle with old method : 0.07982182502746582 length of segment : 269 time for calcul the mask position with numpy : 0.17977690696716309 nb_pixel_total : 56899 time to create 1 rle with old method : 0.07267093658447266 length of segment : 249 time for calcul the mask position with numpy : 0.03302931785583496 nb_pixel_total : 17071 time to create 1 rle with old method : 0.022815942764282227 length of segment : 160 time for calcul the mask position with numpy : 0.0029354095458984375 nb_pixel_total : 8963 time to create 1 rle with old method : 0.011771917343139648 length of segment : 170 time for calcul the mask position with numpy : 0.1224977970123291 nb_pixel_total : 75463 time to create 1 rle with old method : 0.11399459838867188 length of segment : 324 time for calcul the mask position with numpy : 0.021833181381225586 nb_pixel_total : 11269 time to create 1 rle with old method : 0.020200014114379883 length of segment : 154 time for calcul the mask position with numpy : 0.15482783317565918 nb_pixel_total : 60892 time to create 1 rle with old method : 0.07790708541870117 length of segment : 324 time for calcul the mask position with numpy : 0.22500085830688477 nb_pixel_total : 116754 time to create 1 rle with old method : 0.20402836799621582 length of segment : 672 time for calcul the mask position with numpy : 0.06080055236816406 nb_pixel_total : 26633 time to create 1 rle with old method : 0.04512357711791992 length of segment : 169 time for calcul the mask position with numpy : 0.03673815727233887 nb_pixel_total : 15077 time to create 1 rle with old method : 0.02250838279724121 length of segment : 84 time for calcul the mask position with numpy : 0.13933229446411133 nb_pixel_total : 79531 time to create 1 rle with old method : 0.09535598754882812 length of segment : 291 time for calcul the mask position with numpy : 0.029217004776000977 nb_pixel_total : 10684 time to create 1 rle with old method : 0.0166933536529541 length of segment : 107 time for calcul the mask position with numpy : 0.15525150299072266 nb_pixel_total : 48698 time to create 1 rle with old method : 0.05462789535522461 length of segment : 660 time for calcul the mask position with numpy : 0.05339384078979492 nb_pixel_total : 21888 time to create 1 rle with old method : 0.03199172019958496 length of segment : 182 time for calcul the mask position with numpy : 0.015993118286132812 nb_pixel_total : 67074 time to create 1 rle with old method : 0.07622694969177246 length of segment : 341 time for calcul the mask position with numpy : 0.015799522399902344 nb_pixel_total : 10954 time to create 1 rle with old method : 0.015891075134277344 length of segment : 141 time for calcul the mask position with numpy : 0.009972572326660156 nb_pixel_total : 43986 time to create 1 rle with old method : 0.07592201232910156 length of segment : 603 time for calcul the mask position with numpy : 0.04426074028015137 nb_pixel_total : 10426 time to create 1 rle with old method : 0.0164639949798584 length of segment : 203 time for calcul the mask position with numpy : 0.039382219314575195 nb_pixel_total : 12593 time to create 1 rle with old method : 0.019887685775756836 length of segment : 182 time for calcul the mask position with numpy : 0.14180803298950195 nb_pixel_total : 83012 time to create 1 rle with old method : 0.11201238632202148 length of segment : 337 time for calcul the mask position with numpy : 0.12847399711608887 nb_pixel_total : 32137 time to create 1 rle with old method : 0.0409245491027832 length of segment : 233 time for calcul the mask position with numpy : 0.09689736366271973 nb_pixel_total : 60555 time to create 1 rle with old method : 0.07929205894470215 length of segment : 315 time for calcul the mask position with numpy : 0.06131482124328613 nb_pixel_total : 18193 time to create 1 rle with old method : 0.0233306884765625 length of segment : 180 time for calcul the mask position with numpy : 0.046060800552368164 nb_pixel_total : 12022 time to create 1 rle with old method : 0.016928434371948242 length of segment : 150 time for calcul the mask position with numpy : 0.033675193786621094 nb_pixel_total : 7569 time to create 1 rle with old method : 0.014818191528320312 length of segment : 129 time for calcul the mask position with numpy : 0.033081769943237305 nb_pixel_total : 8637 time to create 1 rle with old method : 0.013279199600219727 length of segment : 125 time for calcul the mask position with numpy : 0.05890846252441406 nb_pixel_total : 21143 time to create 1 rle with old method : 0.027630329132080078 length of segment : 148 time for calcul the mask position with numpy : 0.04789543151855469 nb_pixel_total : 11054 time to create 1 rle with old method : 0.017215728759765625 length of segment : 171 time for calcul the mask position with numpy : 0.052001953125 nb_pixel_total : 18455 time to create 1 rle with old method : 0.029848814010620117 length of segment : 170 time for calcul the mask position with numpy : 0.10215210914611816 nb_pixel_total : 23171 time to create 1 rle with old method : 0.04442572593688965 length of segment : 195 time for calcul the mask position with numpy : 0.03864407539367676 nb_pixel_total : 10599 time to create 1 rle with old method : 0.01881551742553711 length of segment : 113 time for calcul the mask position with numpy : 0.0572047233581543 nb_pixel_total : 16744 time to create 1 rle with old method : 0.033297061920166016 length of segment : 173 time for calcul the mask position with numpy : 0.035686492919921875 nb_pixel_total : 7326 time to create 1 rle with old method : 0.012669801712036133 length of segment : 134 time for calcul the mask position with numpy : 0.1445012092590332 nb_pixel_total : 15343 time to create 1 rle with old method : 0.021198034286499023 length of segment : 273 time for calcul the mask position with numpy : 0.03351736068725586 nb_pixel_total : 16760 time to create 1 rle with old method : 0.02178192138671875 length of segment : 235 time for calcul the mask position with numpy : 0.034420013427734375 nb_pixel_total : 10071 time to create 1 rle with old method : 0.015722274780273438 length of segment : 101 time for calcul the mask position with numpy : 0.018509626388549805 nb_pixel_total : 8058 time to create 1 rle with old method : 0.01271963119506836 length of segment : 70 time for calcul the mask position with numpy : 0.04111981391906738 nb_pixel_total : 7973 time to create 1 rle with old method : 0.014729022979736328 length of segment : 138 time for calcul the mask position with numpy : 0.5835373401641846 nb_pixel_total : 238317 time to create 1 rle with new method : 0.03243422508239746 length of segment : 1095 time for calcul the mask position with numpy : 0.010554075241088867 nb_pixel_total : 2682 time to create 1 rle with old method : 0.0059757232666015625 length of segment : 50 time for calcul the mask position with numpy : 0.062447309494018555 nb_pixel_total : 23116 time to create 1 rle with old method : 0.030507326126098633 length of segment : 211 time for calcul the mask position with numpy : 0.03227543830871582 nb_pixel_total : 11856 time to create 1 rle with old method : 0.019997358322143555 length of segment : 94 time for calcul the mask position with numpy : 0.047284841537475586 nb_pixel_total : 17214 time to create 1 rle with old method : 0.023908376693725586 length of segment : 146 time for calcul the mask position with numpy : 0.021680831909179688 nb_pixel_total : 7545 time to create 1 rle with old method : 0.01090550422668457 length of segment : 79 time for calcul the mask position with numpy : 0.05569791793823242 nb_pixel_total : 28844 time to create 1 rle with old method : 0.03849911689758301 length of segment : 146 time for calcul the mask position with numpy : 0.28740572929382324 nb_pixel_total : 107168 time to create 1 rle with old method : 0.15651917457580566 length of segment : 290 time for calcul the mask position with numpy : 0.04871678352355957 nb_pixel_total : 14879 time to create 1 rle with old method : 0.022095441818237305 length of segment : 145 time for calcul the mask position with numpy : 0.03792262077331543 nb_pixel_total : 24232 time to create 1 rle with old method : 0.032907724380493164 length of segment : 148 time for calcul the mask position with numpy : 0.0990140438079834 nb_pixel_total : 33723 time to create 1 rle with old method : 0.04293036460876465 length of segment : 243 time for calcul the mask position with numpy : 0.05279350280761719 nb_pixel_total : 17194 time to create 1 rle with old method : 0.03326559066772461 length of segment : 170 time for calcul the mask position with numpy : 0.01229548454284668 nb_pixel_total : 12032 time to create 1 rle with old method : 0.01938343048095703 length of segment : 123 time for calcul the mask position with numpy : 0.029893159866333008 nb_pixel_total : 2494 time to create 1 rle with old method : 0.0038979053497314453 length of segment : 96 time for calcul the mask position with numpy : 0.08270955085754395 nb_pixel_total : 49042 time to create 1 rle with old method : 0.05914163589477539 length of segment : 183 time for calcul the mask position with numpy : 0.06516718864440918 nb_pixel_total : 30047 time to create 1 rle with old method : 0.0370328426361084 length of segment : 187 time for calcul the mask position with numpy : 0.0005552768707275391 nb_pixel_total : 23439 time to create 1 rle with old method : 0.027202129364013672 length of segment : 153 time for calcul the mask position with numpy : 0.0005593299865722656 nb_pixel_total : 27057 time to create 1 rle with old method : 0.031683921813964844 length of segment : 161 time for calcul the mask position with numpy : 0.01896071434020996 nb_pixel_total : 45806 time to create 1 rle with old method : 0.06065106391906738 length of segment : 476 time for calcul the mask position with numpy : 0.08042430877685547 nb_pixel_total : 24889 time to create 1 rle with old method : 0.0469968318939209 length of segment : 236 time for calcul the mask position with numpy : 0.07654690742492676 nb_pixel_total : 16214 time to create 1 rle with old method : 0.022530078887939453 length of segment : 175 time for calcul the mask position with numpy : 0.026275634765625 nb_pixel_total : 6717 time to create 1 rle with old method : 0.012036800384521484 length of segment : 89 time for calcul the mask position with numpy : 0.10212564468383789 nb_pixel_total : 16275 time to create 1 rle with old method : 0.022984981536865234 length of segment : 274 time for calcul the mask position with numpy : 0.17740726470947266 nb_pixel_total : 42701 time to create 1 rle with old method : 0.053045034408569336 length of segment : 396 time for calcul the mask position with numpy : 0.043146371841430664 nb_pixel_total : 10792 time to create 1 rle with old method : 0.017666101455688477 length of segment : 140 time for calcul the mask position with numpy : 0.26575517654418945 nb_pixel_total : 83780 time to create 1 rle with old method : 0.09749960899353027 length of segment : 453 time for calcul the mask position with numpy : 0.22482585906982422 nb_pixel_total : 61520 time to create 1 rle with old method : 0.07250618934631348 length of segment : 391 time for calcul the mask position with numpy : 0.08648943901062012 nb_pixel_total : 21775 time to create 1 rle with old method : 0.030076265335083008 length of segment : 261 time for calcul the mask position with numpy : 0.026860952377319336 nb_pixel_total : 8545 time to create 1 rle with old method : 0.01344752311706543 length of segment : 88 time for calcul the mask position with numpy : 0.05440855026245117 nb_pixel_total : 27414 time to create 1 rle with old method : 0.035624027252197266 length of segment : 405 time for calcul the mask position with numpy : 0.027573347091674805 nb_pixel_total : 7500 time to create 1 rle with old method : 0.013165950775146484 length of segment : 94 time for calcul the mask position with numpy : 0.06793475151062012 nb_pixel_total : 28204 time to create 1 rle with old method : 0.04487347602844238 length of segment : 219 time for calcul the mask position with numpy : 0.04797959327697754 nb_pixel_total : 9488 time to create 1 rle with old method : 0.015054941177368164 length of segment : 165 time for calcul the mask position with numpy : 0.09306168556213379 nb_pixel_total : 53867 time to create 1 rle with old method : 0.06392645835876465 length of segment : 468 time for calcul the mask position with numpy : 0.07404923439025879 nb_pixel_total : 29622 time to create 1 rle with old method : 0.035533905029296875 length of segment : 363 time for calcul the mask position with numpy : 0.05252361297607422 nb_pixel_total : 14665 time to create 1 rle with old method : 0.02022528648376465 length of segment : 165 time for calcul the mask position with numpy : 0.12365341186523438 nb_pixel_total : 51952 time to create 1 rle with old method : 0.06586694717407227 length of segment : 317 time for calcul the mask position with numpy : 0.04039573669433594 nb_pixel_total : 14584 time to create 1 rle with old method : 0.024670839309692383 length of segment : 103 time for calcul the mask position with numpy : 0.16463017463684082 nb_pixel_total : 62388 time to create 1 rle with old method : 0.0910024642944336 length of segment : 362 time for calcul the mask position with numpy : 0.08742451667785645 nb_pixel_total : 29822 time to create 1 rle with old method : 0.043978214263916016 length of segment : 535 time for calcul the mask position with numpy : 0.02796196937561035 nb_pixel_total : 9758 time to create 1 rle with old method : 0.014403820037841797 length of segment : 108 time for calcul the mask position with numpy : 0.009522199630737305 nb_pixel_total : 3829 time to create 1 rle with old method : 0.0073778629302978516 length of segment : 65 time for calcul the mask position with numpy : 0.011820793151855469 nb_pixel_total : 4164 time to create 1 rle with old method : 0.014205217361450195 length of segment : 56 time for calcul the mask position with numpy : 0.11744260787963867 nb_pixel_total : 56971 time to create 1 rle with old method : 0.06700968742370605 length of segment : 396 time for calcul the mask position with numpy : 0.15490937232971191 nb_pixel_total : 51424 time to create 1 rle with old method : 0.06313872337341309 length of segment : 569 time for calcul the mask position with numpy : 0.22330999374389648 nb_pixel_total : 59572 time to create 1 rle with old method : 0.07228255271911621 length of segment : 303 time for calcul the mask position with numpy : 0.15296339988708496 nb_pixel_total : 47732 time to create 1 rle with old method : 0.05758047103881836 length of segment : 237 time for calcul the mask position with numpy : 0.050920963287353516 nb_pixel_total : 14465 time to create 1 rle with old method : 0.022811412811279297 length of segment : 164 time for calcul the mask position with numpy : 0.13247394561767578 nb_pixel_total : 41091 time to create 1 rle with old method : 0.05173015594482422 length of segment : 252 time for calcul the mask position with numpy : 0.2018895149230957 nb_pixel_total : 61803 time to create 1 rle with old method : 0.06948089599609375 length of segment : 308 time for calcul the mask position with numpy : 0.19828128814697266 nb_pixel_total : 69292 time to create 1 rle with old method : 0.07942390441894531 length of segment : 428 time for calcul the mask position with numpy : 0.09939074516296387 nb_pixel_total : 19843 time to create 1 rle with old method : 0.025021076202392578 length of segment : 218 time for calcul the mask position with numpy : 0.012830257415771484 nb_pixel_total : 8593 time to create 1 rle with old method : 0.014261722564697266 length of segment : 96 time for calcul the mask position with numpy : 0.2464768886566162 nb_pixel_total : 85407 time to create 1 rle with old method : 0.09639549255371094 length of segment : 398 time for calcul the mask position with numpy : 0.04819321632385254 nb_pixel_total : 10883 time to create 1 rle with old method : 0.016606569290161133 length of segment : 127 time for calcul the mask position with numpy : 0.08554577827453613 nb_pixel_total : 19028 time to create 1 rle with old method : 0.02715468406677246 length of segment : 196 time for calcul the mask position with numpy : 0.28624892234802246 nb_pixel_total : 126930 time to create 1 rle with old method : 0.14041352272033691 length of segment : 388 time for calcul the mask position with numpy : 0.1426682472229004 nb_pixel_total : 46409 time to create 1 rle with old method : 0.05540633201599121 length of segment : 430 time for calcul the mask position with numpy : 0.20645451545715332 nb_pixel_total : 72301 time to create 1 rle with old method : 0.10226726531982422 length of segment : 229 time for calcul the mask position with numpy : 0.7777285575866699 nb_pixel_total : 404385 time to create 1 rle with new method : 0.029317617416381836 length of segment : 869 time for calcul the mask position with numpy : 0.026897430419921875 nb_pixel_total : 6201 time to create 1 rle with old method : 0.010523080825805664 length of segment : 82 time for calcul the mask position with numpy : 0.22190093994140625 nb_pixel_total : 107717 time to create 1 rle with old method : 0.14468693733215332 length of segment : 435 time for calcul the mask position with numpy : 0.02727198600769043 nb_pixel_total : 10726 time to create 1 rle with old method : 0.015081167221069336 length of segment : 95 time for calcul the mask position with numpy : 0.2829558849334717 nb_pixel_total : 165624 time to create 1 rle with new method : 0.009290933609008789 length of segment : 323 time for calcul the mask position with numpy : 0.5703191757202148 nb_pixel_total : 257621 time to create 1 rle with new method : 0.025883197784423828 length of segment : 815 time for calcul the mask position with numpy : 0.02328968048095703 nb_pixel_total : 2784 time to create 1 rle with old method : 0.005202054977416992 length of segment : 85 time for calcul the mask position with numpy : 0.029590129852294922 nb_pixel_total : 53484 time to create 1 rle with old method : 0.06261396408081055 length of segment : 352 time for calcul the mask position with numpy : 0.045300960540771484 nb_pixel_total : 22561 time to create 1 rle with old method : 0.030196666717529297 length of segment : 157 time for calcul the mask position with numpy : 0.05084657669067383 nb_pixel_total : 26846 time to create 1 rle with old method : 0.03524637222290039 length of segment : 257 time for calcul the mask position with numpy : 0.10262227058410645 nb_pixel_total : 80498 time to create 1 rle with old method : 0.09560680389404297 length of segment : 266 time for calcul the mask position with numpy : 0.047110795974731445 nb_pixel_total : 27066 time to create 1 rle with old method : 0.03523707389831543 length of segment : 201 time for calcul the mask position with numpy : 0.08698201179504395 nb_pixel_total : 36939 time to create 1 rle with old method : 0.046779632568359375 length of segment : 199 time for calcul the mask position with numpy : 0.026690959930419922 nb_pixel_total : 7007 time to create 1 rle with old method : 0.013054132461547852 length of segment : 86 time for calcul the mask position with numpy : 0.08285808563232422 nb_pixel_total : 50091 time to create 1 rle with old method : 0.05853009223937988 length of segment : 277 time for calcul the mask position with numpy : 0.014089345932006836 nb_pixel_total : 19067 time to create 1 rle with old method : 0.033841848373413086 length of segment : 276 time for calcul the mask position with numpy : 0.04637885093688965 nb_pixel_total : 9009 time to create 1 rle with old method : 0.014842987060546875 length of segment : 186 time for calcul the mask position with numpy : 0.10223245620727539 nb_pixel_total : 19369 time to create 1 rle with old method : 0.02672600746154785 length of segment : 202 time for calcul the mask position with numpy : 0.06407594680786133 nb_pixel_total : 11071 time to create 1 rle with old method : 0.017467975616455078 length of segment : 138 time for calcul the mask position with numpy : 0.051275014877319336 nb_pixel_total : 10587 time to create 1 rle with old method : 0.015320777893066406 length of segment : 112 time for calcul the mask position with numpy : 0.12619948387145996 nb_pixel_total : 10822 time to create 1 rle with old method : 0.014991044998168945 length of segment : 190 time for calcul the mask position with numpy : 0.13265776634216309 nb_pixel_total : 21611 time to create 1 rle with old method : 0.03975391387939453 length of segment : 200 time for calcul the mask position with numpy : 0.17894959449768066 nb_pixel_total : 31287 time to create 1 rle with old method : 0.04163694381713867 length of segment : 286 time for calcul the mask position with numpy : 0.030155658721923828 nb_pixel_total : 6172 time to create 1 rle with old method : 0.011795520782470703 length of segment : 99 time for calcul the mask position with numpy : 0.11539316177368164 nb_pixel_total : 20672 time to create 1 rle with old method : 0.03351020812988281 length of segment : 168 time for calcul the mask position with numpy : 0.2600243091583252 nb_pixel_total : 46889 time to create 1 rle with old method : 0.05628657341003418 length of segment : 282 time for calcul the mask position with numpy : 0.2670705318450928 nb_pixel_total : 41622 time to create 1 rle with old method : 0.05220603942871094 length of segment : 261 time for calcul the mask position with numpy : 0.27945899963378906 nb_pixel_total : 43022 time to create 1 rle with old method : 0.051490068435668945 length of segment : 234 time for calcul the mask position with numpy : 0.14760303497314453 nb_pixel_total : 29084 time to create 1 rle with old method : 0.049761056900024414 length of segment : 264 time for calcul the mask position with numpy : 0.11458182334899902 nb_pixel_total : 21821 time to create 1 rle with old method : 0.0293734073638916 length of segment : 154 time for calcul the mask position with numpy : 0.03709840774536133 nb_pixel_total : 5764 time to create 1 rle with old method : 0.010809898376464844 length of segment : 108 time for calcul the mask position with numpy : 0.054714202880859375 nb_pixel_total : 9909 time to create 1 rle with old method : 0.015535354614257812 length of segment : 106 time for calcul the mask position with numpy : 0.2634851932525635 nb_pixel_total : 28030 time to create 1 rle with old method : 0.03595685958862305 length of segment : 233 time for calcul the mask position with numpy : 0.16514015197753906 nb_pixel_total : 26181 time to create 1 rle with old method : 0.032598018646240234 length of segment : 175 time for calcul the mask position with numpy : 0.07942771911621094 nb_pixel_total : 21599 time to create 1 rle with old method : 0.028760433197021484 length of segment : 195 time for calcul the mask position with numpy : 0.10414719581604004 nb_pixel_total : 18280 time to create 1 rle with old method : 0.025336265563964844 length of segment : 166 time for calcul the mask position with numpy : 0.04987645149230957 nb_pixel_total : 14594 time to create 1 rle with old method : 0.021805524826049805 length of segment : 209 time for calcul the mask position with numpy : 0.06524538993835449 nb_pixel_total : 14165 time to create 1 rle with old method : 0.02199721336364746 length of segment : 138 time for calcul the mask position with numpy : 0.15183448791503906 nb_pixel_total : 32543 time to create 1 rle with old method : 0.03979039192199707 length of segment : 264 time for calcul the mask position with numpy : 0.1386103630065918 nb_pixel_total : 24609 time to create 1 rle with old method : 0.0322110652923584 length of segment : 186 time for calcul the mask position with numpy : 0.0020971298217773438 nb_pixel_total : 3383 time to create 1 rle with old method : 0.0041162967681884766 length of segment : 55 time for calcul the mask position with numpy : 0.10545992851257324 nb_pixel_total : 15462 time to create 1 rle with old method : 0.023136138916015625 length of segment : 241 time for calcul the mask position with numpy : 0.20566868782043457 nb_pixel_total : 38407 time to create 1 rle with old method : 0.04854393005371094 length of segment : 263 time for calcul the mask position with numpy : 0.17610526084899902 nb_pixel_total : 18443 time to create 1 rle with old method : 0.024878501892089844 length of segment : 389 time for calcul the mask position with numpy : 0.20111823081970215 nb_pixel_total : 29670 time to create 1 rle with old method : 0.03457498550415039 length of segment : 480 time for calcul the mask position with numpy : 0.04366755485534668 nb_pixel_total : 25710 time to create 1 rle with old method : 0.03339219093322754 length of segment : 226 time for calcul the mask position with numpy : 0.3402714729309082 nb_pixel_total : 61903 time to create 1 rle with old method : 0.0712735652923584 length of segment : 506 time for calcul the mask position with numpy : 0.001813650131225586 nb_pixel_total : 18831 time to create 1 rle with old method : 0.021149873733520508 length of segment : 145 time for calcul the mask position with numpy : 0.11554145812988281 nb_pixel_total : 17705 time to create 1 rle with old method : 0.024183034896850586 length of segment : 249 time for calcul the mask position with numpy : 0.0063169002532958984 nb_pixel_total : 4861 time to create 1 rle with old method : 0.010481119155883789 length of segment : 81 time for calcul the mask position with numpy : 0.0003190040588378906 nb_pixel_total : 7651 time to create 1 rle with old method : 0.010387897491455078 length of segment : 86 time for calcul the mask position with numpy : 0.09978103637695312 nb_pixel_total : 26959 time to create 1 rle with old method : 0.04027557373046875 length of segment : 230 time for calcul the mask position with numpy : 0.05817985534667969 nb_pixel_total : 25562 time to create 1 rle with old method : 0.03551936149597168 length of segment : 181 time for calcul the mask position with numpy : 0.16766977310180664 nb_pixel_total : 35672 time to create 1 rle with old method : 0.04785728454589844 length of segment : 408 time for calcul the mask position with numpy : 0.011847496032714844 nb_pixel_total : 6293 time to create 1 rle with old method : 0.012095212936401367 length of segment : 134 time for calcul the mask position with numpy : 0.02796792984008789 nb_pixel_total : 7171 time to create 1 rle with old method : 0.012680292129516602 length of segment : 141 time for calcul the mask position with numpy : 0.16148853302001953 nb_pixel_total : 7221 time to create 1 rle with old method : 0.01207113265991211 length of segment : 205 time for calcul the mask position with numpy : 0.072998046875 nb_pixel_total : 15154 time to create 1 rle with old method : 0.021312713623046875 length of segment : 153 time for calcul the mask position with numpy : 0.0755918025970459 nb_pixel_total : 12190 time to create 1 rle with old method : 0.018145322799682617 length of segment : 173 time for calcul the mask position with numpy : 0.12027096748352051 nb_pixel_total : 41075 time to create 1 rle with old method : 0.051102638244628906 length of segment : 439 time for calcul the mask position with numpy : 0.08347439765930176 nb_pixel_total : 7346 time to create 1 rle with old method : 0.012022733688354492 length of segment : 143 time for calcul the mask position with numpy : 0.07028961181640625 nb_pixel_total : 19400 time to create 1 rle with old method : 0.0259246826171875 length of segment : 233 time for calcul the mask position with numpy : 0.06229376792907715 nb_pixel_total : 15409 time to create 1 rle with old method : 0.02239990234375 length of segment : 220 time for calcul the mask position with numpy : 0.5387887954711914 nb_pixel_total : 95018 time to create 1 rle with old method : 0.12208366394042969 length of segment : 397 time for calcul the mask position with numpy : 0.0896000862121582 nb_pixel_total : 21211 time to create 1 rle with old method : 0.030458450317382812 length of segment : 167 time for calcul the mask position with numpy : 0.059868574142456055 nb_pixel_total : 21212 time to create 1 rle with old method : 0.028972148895263672 length of segment : 352 time for calcul the mask position with numpy : 0.2715470790863037 nb_pixel_total : 82289 time to create 1 rle with old method : 0.0931541919708252 length of segment : 343 time for calcul the mask position with numpy : 0.10049819946289062 nb_pixel_total : 20205 time to create 1 rle with old method : 0.02690434455871582 length of segment : 181 time for calcul the mask position with numpy : 0.04517316818237305 nb_pixel_total : 7883 time to create 1 rle with old method : 0.013438224792480469 length of segment : 126 time for calcul the mask position with numpy : 0.12313580513000488 nb_pixel_total : 30070 time to create 1 rle with old method : 0.04721260070800781 length of segment : 188 time for calcul the mask position with numpy : 0.016398906707763672 nb_pixel_total : 23459 time to create 1 rle with old method : 0.029146194458007812 length of segment : 268 time for calcul the mask position with numpy : 0.0036847591400146484 nb_pixel_total : 4325 time to create 1 rle with old method : 0.0061798095703125 length of segment : 88 time for calcul the mask position with numpy : 0.041136741638183594 nb_pixel_total : 32932 time to create 1 rle with old method : 0.040907859802246094 length of segment : 152 time for calcul the mask position with numpy : 0.05813145637512207 nb_pixel_total : 12736 time to create 1 rle with old method : 0.017673254013061523 length of segment : 113 time for calcul the mask position with numpy : 0.18722176551818848 nb_pixel_total : 42598 time to create 1 rle with old method : 0.050325632095336914 length of segment : 385 time for calcul the mask position with numpy : 0.09919118881225586 nb_pixel_total : 17222 time to create 1 rle with old method : 0.023608922958374023 length of segment : 145 time for calcul the mask position with numpy : 0.08672857284545898 nb_pixel_total : 16365 time to create 1 rle with old method : 0.02374577522277832 length of segment : 126 time for calcul the mask position with numpy : 1.110140323638916 nb_pixel_total : 231199 time to create 1 rle with new method : 0.020223140716552734 length of segment : 664 time for calcul the mask position with numpy : 0.16826128959655762 nb_pixel_total : 19296 time to create 1 rle with old method : 0.02689957618713379 length of segment : 270 time for calcul the mask position with numpy : 0.15413856506347656 nb_pixel_total : 25863 time to create 1 rle with old method : 0.03342843055725098 length of segment : 404 time for calcul the mask position with numpy : 0.13592314720153809 nb_pixel_total : 34933 time to create 1 rle with old method : 0.04344463348388672 length of segment : 174 time for calcul the mask position with numpy : 0.215101957321167 nb_pixel_total : 35037 time to create 1 rle with old method : 0.04212331771850586 length of segment : 461 time for calcul the mask position with numpy : 0.19985032081604004 nb_pixel_total : 38673 time to create 1 rle with old method : 0.04633283615112305 length of segment : 283 time for calcul the mask position with numpy : 0.03582644462585449 nb_pixel_total : 6656 time to create 1 rle with old method : 0.01313328742980957 length of segment : 86 time for calcul the mask position with numpy : 0.3659191131591797 nb_pixel_total : 89195 time to create 1 rle with old method : 0.10271549224853516 length of segment : 361 time for calcul the mask position with numpy : 0.09209012985229492 nb_pixel_total : 20132 time to create 1 rle with old method : 0.026703834533691406 length of segment : 189 time for calcul the mask position with numpy : 0.0399782657623291 nb_pixel_total : 10425 time to create 1 rle with old method : 0.017359018325805664 length of segment : 96 time for calcul the mask position with numpy : 0.10410189628601074 nb_pixel_total : 21990 time to create 1 rle with old method : 0.02834916114807129 length of segment : 158 time for calcul the mask position with numpy : 0.05245161056518555 nb_pixel_total : 12286 time to create 1 rle with old method : 0.01975274085998535 length of segment : 106 time for calcul the mask position with numpy : 0.11954140663146973 nb_pixel_total : 26348 time to create 1 rle with old method : 0.03508615493774414 length of segment : 224 time for calcul the mask position with numpy : 0.08066320419311523 nb_pixel_total : 14284 time to create 1 rle with old method : 0.02277231216430664 length of segment : 273 time for calcul the mask position with numpy : 0.017083406448364258 nb_pixel_total : 8955 time to create 1 rle with old method : 0.016710996627807617 length of segment : 96 time for calcul the mask position with numpy : 0.10019350051879883 nb_pixel_total : 24823 time to create 1 rle with old method : 0.0326075553894043 length of segment : 154 time for calcul the mask position with numpy : 0.20715999603271484 nb_pixel_total : 39189 time to create 1 rle with old method : 0.0474698543548584 length of segment : 350 time for calcul the mask position with numpy : 0.10953497886657715 nb_pixel_total : 21118 time to create 1 rle with old method : 0.027890920639038086 length of segment : 242 time for calcul the mask position with numpy : 0.03790593147277832 nb_pixel_total : 7272 time to create 1 rle with old method : 0.012490987777709961 length of segment : 121 time for calcul the mask position with numpy : 0.1294701099395752 nb_pixel_total : 29633 time to create 1 rle with old method : 0.037004709243774414 length of segment : 246 time for calcul the mask position with numpy : 0.09385848045349121 nb_pixel_total : 23210 time to create 1 rle with old method : 0.030159950256347656 length of segment : 202 time for calcul the mask position with numpy : 0.07126307487487793 nb_pixel_total : 11684 time to create 1 rle with old method : 0.017438411712646484 length of segment : 144 time for calcul the mask position with numpy : 0.10259509086608887 nb_pixel_total : 20064 time to create 1 rle with old method : 0.026047229766845703 length of segment : 166 time for calcul the mask position with numpy : 0.16107416152954102 nb_pixel_total : 45691 time to create 1 rle with old method : 0.05327963829040527 length of segment : 257 time for calcul the mask position with numpy : 0.39902615547180176 nb_pixel_total : 66403 time to create 1 rle with old method : 0.07387089729309082 length of segment : 418 time for calcul the mask position with numpy : 0.10779523849487305 nb_pixel_total : 19684 time to create 1 rle with old method : 0.0297548770904541 length of segment : 211 time for calcul the mask position with numpy : 0.14337515830993652 nb_pixel_total : 27373 time to create 1 rle with old method : 0.037320852279663086 length of segment : 263 time for calcul the mask position with numpy : 0.015836477279663086 nb_pixel_total : 4559 time to create 1 rle with old method : 0.010701417922973633 length of segment : 71 time for calcul the mask position with numpy : 0.06253504753112793 nb_pixel_total : 7082 time to create 1 rle with old method : 0.013368606567382812 length of segment : 96 time for calcul the mask position with numpy : 0.0009806156158447266 nb_pixel_total : 15368 time to create 1 rle with old method : 0.028692960739135742 length of segment : 164 time for calcul the mask position with numpy : 0.003919839859008789 nb_pixel_total : 12367 time to create 1 rle with old method : 0.0231168270111084 length of segment : 190 time for calcul the mask position with numpy : 0.048842430114746094 nb_pixel_total : 20325 time to create 1 rle with old method : 0.030991792678833008 length of segment : 175 time for calcul the mask position with numpy : 0.04542112350463867 nb_pixel_total : 7506 time to create 1 rle with old method : 0.010869026184082031 length of segment : 147 time for calcul the mask position with numpy : 0.06947565078735352 nb_pixel_total : 15711 time to create 1 rle with old method : 0.022614717483520508 length of segment : 282 time for calcul the mask position with numpy : 0.15149402618408203 nb_pixel_total : 26313 time to create 1 rle with old method : 0.04320812225341797 length of segment : 184 time for calcul the mask position with numpy : 0.05105328559875488 nb_pixel_total : 14160 time to create 1 rle with old method : 0.016215085983276367 length of segment : 144 time for calcul the mask position with numpy : 0.0379328727722168 nb_pixel_total : 5203 time to create 1 rle with old method : 0.010449886322021484 length of segment : 209 time for calcul the mask position with numpy : 0.0005960464477539062 nb_pixel_total : 24133 time to create 1 rle with old method : 0.02716207504272461 length of segment : 164 time for calcul the mask position with numpy : 0.17015504837036133 nb_pixel_total : 42816 time to create 1 rle with old method : 0.05003643035888672 length of segment : 265 time for calcul the mask position with numpy : 0.07892584800720215 nb_pixel_total : 25999 time to create 1 rle with old method : 0.03420734405517578 length of segment : 132 time for calcul the mask position with numpy : 0.06514692306518555 nb_pixel_total : 11819 time to create 1 rle with old method : 0.01709294319152832 length of segment : 156 time for calcul the mask position with numpy : 0.03204917907714844 nb_pixel_total : 26653 time to create 1 rle with old method : 0.03315305709838867 length of segment : 170 time for calcul the mask position with numpy : 0.08376479148864746 nb_pixel_total : 29941 time to create 1 rle with old method : 0.04399991035461426 length of segment : 244 time for calcul the mask position with numpy : 0.04246044158935547 nb_pixel_total : 15682 time to create 1 rle with old method : 0.022188901901245117 length of segment : 147 time for calcul the mask position with numpy : 0.0931546688079834 nb_pixel_total : 22559 time to create 1 rle with old method : 0.03460431098937988 length of segment : 245 time for calcul the mask position with numpy : 0.0423123836517334 nb_pixel_total : 13114 time to create 1 rle with old method : 0.020706892013549805 length of segment : 173 time for calcul the mask position with numpy : 0.14884281158447266 nb_pixel_total : 26078 time to create 1 rle with old method : 0.04926466941833496 length of segment : 188 time for calcul the mask position with numpy : 0.029998779296875 nb_pixel_total : 10559 time to create 1 rle with old method : 0.015175580978393555 length of segment : 121 time for calcul the mask position with numpy : 0.17577552795410156 nb_pixel_total : 43400 time to create 1 rle with old method : 0.056185245513916016 length of segment : 246 time for calcul the mask position with numpy : 0.15895533561706543 nb_pixel_total : 25091 time to create 1 rle with old method : 0.034598588943481445 length of segment : 399 time for calcul the mask position with numpy : 0.5495138168334961 nb_pixel_total : 117124 time to create 1 rle with old method : 0.13191771507263184 length of segment : 433 time for calcul the mask position with numpy : 0.08369159698486328 nb_pixel_total : 15871 time to create 1 rle with old method : 0.028345823287963867 length of segment : 214 time for calcul the mask position with numpy : 0.06629085540771484 nb_pixel_total : 24983 time to create 1 rle with old method : 0.03287339210510254 length of segment : 259 time for calcul the mask position with numpy : 0.14687347412109375 nb_pixel_total : 27270 time to create 1 rle with old method : 0.03715324401855469 length of segment : 292 time for calcul the mask position with numpy : 0.027303218841552734 nb_pixel_total : 9928 time to create 1 rle with old method : 0.016677141189575195 length of segment : 146 time for calcul the mask position with numpy : 0.0575864315032959 nb_pixel_total : 5933 time to create 1 rle with old method : 0.011191606521606445 length of segment : 147 time for calcul the mask position with numpy : 0.13305187225341797 nb_pixel_total : 37781 time to create 1 rle with old method : 0.04888916015625 length of segment : 268 time for calcul the mask position with numpy : 0.033728599548339844 nb_pixel_total : 9348 time to create 1 rle with old method : 0.01579117774963379 length of segment : 133 time for calcul the mask position with numpy : 0.12424445152282715 nb_pixel_total : 32820 time to create 1 rle with old method : 0.04128456115722656 length of segment : 204 time for calcul the mask position with numpy : 0.17210841178894043 nb_pixel_total : 35922 time to create 1 rle with old method : 0.043431758880615234 length of segment : 231 time for calcul the mask position with numpy : 0.21201229095458984 nb_pixel_total : 57582 time to create 1 rle with old method : 0.06693267822265625 length of segment : 358 time for calcul the mask position with numpy : 0.052176713943481445 nb_pixel_total : 11002 time to create 1 rle with old method : 0.01757526397705078 length of segment : 116 time for calcul the mask position with numpy : 0.021956205368041992 nb_pixel_total : 2022 time to create 1 rle with old method : 0.003839254379272461 length of segment : 137 time for calcul the mask position with numpy : 0.13479113578796387 nb_pixel_total : 36301 time to create 1 rle with old method : 0.0455775260925293 length of segment : 329 time for calcul the mask position with numpy : 0.1381385326385498 nb_pixel_total : 17198 time to create 1 rle with old method : 0.024622440338134766 length of segment : 168 time for calcul the mask position with numpy : 0.07568669319152832 nb_pixel_total : 14282 time to create 1 rle with old method : 0.019803762435913086 length of segment : 101 time for calcul the mask position with numpy : 0.10010194778442383 nb_pixel_total : 15324 time to create 1 rle with old method : 0.021658658981323242 length of segment : 159 time for calcul the mask position with numpy : 0.11275005340576172 nb_pixel_total : 20787 time to create 1 rle with old method : 0.034674882888793945 length of segment : 194 time for calcul the mask position with numpy : 0.13515281677246094 nb_pixel_total : 29940 time to create 1 rle with old method : 0.0401458740234375 length of segment : 195 time for calcul the mask position with numpy : 0.14693570137023926 nb_pixel_total : 19894 time to create 1 rle with old method : 0.02629995346069336 length of segment : 229 time for calcul the mask position with numpy : 0.16132664680480957 nb_pixel_total : 36595 time to create 1 rle with old method : 0.046575307846069336 length of segment : 370 time for calcul the mask position with numpy : 0.2297959327697754 nb_pixel_total : 30759 time to create 1 rle with old method : 0.040921688079833984 length of segment : 216 time for calcul the mask position with numpy : 0.09827804565429688 nb_pixel_total : 17700 time to create 1 rle with old method : 0.024532794952392578 length of segment : 231 time for calcul the mask position with numpy : 0.08619117736816406 nb_pixel_total : 17023 time to create 1 rle with old method : 0.022397518157958984 length of segment : 112 time for calcul the mask position with numpy : 0.27548670768737793 nb_pixel_total : 60434 time to create 1 rle with old method : 0.07246994972229004 length of segment : 399 time for calcul the mask position with numpy : 0.169677734375 nb_pixel_total : 37332 time to create 1 rle with old method : 0.0613255500793457 length of segment : 281 time for calcul the mask position with numpy : 0.18177413940429688 nb_pixel_total : 36209 time to create 1 rle with old method : 0.04808449745178223 length of segment : 281 time for calcul the mask position with numpy : 0.07411670684814453 nb_pixel_total : 22587 time to create 1 rle with old method : 0.030282974243164062 length of segment : 106 time for calcul the mask position with numpy : 0.15338969230651855 nb_pixel_total : 35345 time to create 1 rle with old method : 0.04376578330993652 length of segment : 188 time for calcul the mask position with numpy : 0.0428621768951416 nb_pixel_total : 10374 time to create 1 rle with old method : 0.015918970108032227 length of segment : 86 time for calcul the mask position with numpy : 0.07659482955932617 nb_pixel_total : 12769 time to create 1 rle with old method : 0.020466327667236328 length of segment : 145 time for calcul the mask position with numpy : 0.1880500316619873 nb_pixel_total : 45419 time to create 1 rle with old method : 0.05517005920410156 length of segment : 233 time for calcul the mask position with numpy : 0.0644083023071289 nb_pixel_total : 19104 time to create 1 rle with old method : 0.026207447052001953 length of segment : 339 time for calcul the mask position with numpy : 0.03606772422790527 nb_pixel_total : 19315 time to create 1 rle with old method : 0.023702383041381836 length of segment : 211 time for calcul the mask position with numpy : 0.06679630279541016 nb_pixel_total : 26921 time to create 1 rle with old method : 0.0344085693359375 length of segment : 258 time for calcul the mask position with numpy : 0.0745999813079834 nb_pixel_total : 19563 time to create 1 rle with old method : 0.027077436447143555 length of segment : 191 time for calcul the mask position with numpy : 0.026026487350463867 nb_pixel_total : 3711 time to create 1 rle with old method : 0.007427692413330078 length of segment : 64 time for calcul the mask position with numpy : 0.08365797996520996 nb_pixel_total : 10718 time to create 1 rle with old method : 0.01699066162109375 length of segment : 201 time for calcul the mask position with numpy : 0.09571218490600586 nb_pixel_total : 19601 time to create 1 rle with old method : 0.027223825454711914 length of segment : 195 time for calcul the mask position with numpy : 0.1243293285369873 nb_pixel_total : 29805 time to create 1 rle with old method : 0.035186052322387695 length of segment : 254 time for calcul the mask position with numpy : 0.06619977951049805 nb_pixel_total : 12036 time to create 1 rle with old method : 0.01916337013244629 length of segment : 121 time for calcul the mask position with numpy : 0.12990021705627441 nb_pixel_total : 23521 time to create 1 rle with old method : 0.03156757354736328 length of segment : 222 time for calcul the mask position with numpy : 0.09326481819152832 nb_pixel_total : 17132 time to create 1 rle with old method : 0.036159515380859375 length of segment : 220 time for calcul the mask position with numpy : 0.20826458930969238 nb_pixel_total : 51851 time to create 1 rle with old method : 0.06470346450805664 length of segment : 297 time for calcul the mask position with numpy : 0.0830984115600586 nb_pixel_total : 13734 time to create 1 rle with old method : 0.02215576171875 length of segment : 136 time for calcul the mask position with numpy : 0.07132124900817871 nb_pixel_total : 12768 time to create 1 rle with old method : 0.019278526306152344 length of segment : 90 time for calcul the mask position with numpy : 0.10167884826660156 nb_pixel_total : 23057 time to create 1 rle with old method : 0.030051708221435547 length of segment : 224 time for calcul the mask position with numpy : 0.0971522331237793 nb_pixel_total : 20893 time to create 1 rle with old method : 0.028817176818847656 length of segment : 155 time for calcul the mask position with numpy : 0.29419469833374023 nb_pixel_total : 56446 time to create 1 rle with old method : 0.08852148056030273 length of segment : 456 time for calcul the mask position with numpy : 0.026577234268188477 nb_pixel_total : 4715 time to create 1 rle with old method : 0.00793766975402832 length of segment : 95 time for calcul the mask position with numpy : 0.22493433952331543 nb_pixel_total : 57017 time to create 1 rle with old method : 0.06634354591369629 length of segment : 382 time for calcul the mask position with numpy : 0.1468350887298584 nb_pixel_total : 25931 time to create 1 rle with old method : 0.03289175033569336 length of segment : 199 time for calcul the mask position with numpy : 0.09945058822631836 nb_pixel_total : 19034 time to create 1 rle with old method : 0.026523828506469727 length of segment : 161 time for calcul the mask position with numpy : 0.4694664478302002 nb_pixel_total : 101895 time to create 1 rle with old method : 0.11703824996948242 length of segment : 815 time for calcul the mask position with numpy : 0.0005514621734619141 nb_pixel_total : 11290 time to create 1 rle with old method : 0.013067960739135742 length of segment : 191 time for calcul the mask position with numpy : 0.1256723403930664 nb_pixel_total : 20478 time to create 1 rle with old method : 0.027779579162597656 length of segment : 133 time for calcul the mask position with numpy : 0.19565248489379883 nb_pixel_total : 43325 time to create 1 rle with old method : 0.05501890182495117 length of segment : 256 time for calcul the mask position with numpy : 0.041589975357055664 nb_pixel_total : 9086 time to create 1 rle with old method : 0.014102935791015625 length of segment : 115 time for calcul the mask position with numpy : 0.36611223220825195 nb_pixel_total : 48328 time to create 1 rle with old method : 0.07612729072570801 length of segment : 285 time for calcul the mask position with numpy : 0.03477001190185547 nb_pixel_total : 12348 time to create 1 rle with old method : 0.020697832107543945 length of segment : 156 time for calcul the mask position with numpy : 0.0752720832824707 nb_pixel_total : 31518 time to create 1 rle with old method : 0.03829622268676758 length of segment : 227 time for calcul the mask position with numpy : 0.08826184272766113 nb_pixel_total : 24286 time to create 1 rle with old method : 0.03190207481384277 length of segment : 306 time for calcul the mask position with numpy : 0.10124492645263672 nb_pixel_total : 14137 time to create 1 rle with old method : 0.022554636001586914 length of segment : 192 time for calcul the mask position with numpy : 0.2142488956451416 nb_pixel_total : 74873 time to create 1 rle with old method : 0.08795833587646484 length of segment : 316 time for calcul the mask position with numpy : 0.008004426956176758 nb_pixel_total : 3776 time to create 1 rle with old method : 0.005367755889892578 length of segment : 66 time for calcul the mask position with numpy : 0.1976609230041504 nb_pixel_total : 40971 time to create 1 rle with old method : 0.05104851722717285 length of segment : 381 time for calcul the mask position with numpy : 0.02519822120666504 nb_pixel_total : 4662 time to create 1 rle with old method : 0.009259223937988281 length of segment : 68 time for calcul the mask position with numpy : 0.05770134925842285 nb_pixel_total : 40274 time to create 1 rle with old method : 0.0686032772064209 length of segment : 349 time for calcul the mask position with numpy : 0.0670461654663086 nb_pixel_total : 20648 time to create 1 rle with old method : 0.029785871505737305 length of segment : 174 time for calcul the mask position with numpy : 0.006381034851074219 nb_pixel_total : 12457 time to create 1 rle with old method : 0.016835927963256836 length of segment : 161 time for calcul the mask position with numpy : 0.02278733253479004 nb_pixel_total : 11818 time to create 1 rle with old method : 0.018136262893676758 length of segment : 169 time for calcul the mask position with numpy : 0.034358978271484375 nb_pixel_total : 7800 time to create 1 rle with old method : 0.014432191848754883 length of segment : 106 time for calcul the mask position with numpy : 0.015168190002441406 nb_pixel_total : 20415 time to create 1 rle with old method : 0.02844858169555664 length of segment : 144 time for calcul the mask position with numpy : 0.015139102935791016 nb_pixel_total : 9669 time to create 1 rle with old method : 0.014760494232177734 length of segment : 104 time for calcul the mask position with numpy : 0.14088916778564453 nb_pixel_total : 20750 time to create 1 rle with old method : 0.026696205139160156 length of segment : 174 time for calcul the mask position with numpy : 0.02649235725402832 nb_pixel_total : 4075 time to create 1 rle with old method : 0.009043693542480469 length of segment : 72 time for calcul the mask position with numpy : 0.06576228141784668 nb_pixel_total : 32824 time to create 1 rle with old method : 0.055898189544677734 length of segment : 375 time for calcul the mask position with numpy : 0.012061834335327148 nb_pixel_total : 6345 time to create 1 rle with old method : 0.010750293731689453 length of segment : 122 time for calcul the mask position with numpy : 0.034403324127197266 nb_pixel_total : 11836 time to create 1 rle with old method : 0.018991947174072266 length of segment : 94 time for calcul the mask position with numpy : 0.3593566417694092 nb_pixel_total : 51631 time to create 1 rle with old method : 0.08054947853088379 length of segment : 501 time for calcul the mask position with numpy : 0.10111212730407715 nb_pixel_total : 19782 time to create 1 rle with old method : 0.0295257568359375 length of segment : 196 time for calcul the mask position with numpy : 0.10016250610351562 nb_pixel_total : 20338 time to create 1 rle with old method : 0.02857375144958496 length of segment : 175 time for calcul the mask position with numpy : 0.2358083724975586 nb_pixel_total : 30812 time to create 1 rle with old method : 0.04823613166809082 length of segment : 216 time for calcul the mask position with numpy : 0.1563739776611328 nb_pixel_total : 49147 time to create 1 rle with old method : 0.06070709228515625 length of segment : 439 time for calcul the mask position with numpy : 0.17235779762268066 nb_pixel_total : 39460 time to create 1 rle with old method : 0.04876065254211426 length of segment : 327 time for calcul the mask position with numpy : 0.13572192192077637 nb_pixel_total : 45900 time to create 1 rle with old method : 0.060919761657714844 length of segment : 360 time for calcul the mask position with numpy : 0.009278535842895508 nb_pixel_total : 14906 time to create 1 rle with old method : 0.021641254425048828 length of segment : 260 time for calcul the mask position with numpy : 0.030367136001586914 nb_pixel_total : 4772 time to create 1 rle with old method : 0.009165763854980469 length of segment : 80 time for calcul the mask position with numpy : 0.12450861930847168 nb_pixel_total : 25430 time to create 1 rle with old method : 0.03322958946228027 length of segment : 229 time for calcul the mask position with numpy : 0.03431820869445801 nb_pixel_total : 12711 time to create 1 rle with old method : 0.01986408233642578 length of segment : 139 time for calcul the mask position with numpy : 0.04772806167602539 nb_pixel_total : 27466 time to create 1 rle with old method : 0.03892660140991211 length of segment : 206 time for calcul the mask position with numpy : 0.23524093627929688 nb_pixel_total : 50245 time to create 1 rle with old method : 0.06681466102600098 length of segment : 375 time for calcul the mask position with numpy : 0.09224438667297363 nb_pixel_total : 17248 time to create 1 rle with old method : 0.029099225997924805 length of segment : 167 time for calcul the mask position with numpy : 0.032928466796875 nb_pixel_total : 6242 time to create 1 rle with old method : 0.007286787033081055 length of segment : 118 time for calcul the mask position with numpy : 0.14244842529296875 nb_pixel_total : 32061 time to create 1 rle with old method : 0.042650461196899414 length of segment : 325 time for calcul the mask position with numpy : 0.3456881046295166 nb_pixel_total : 90261 time to create 1 rle with old method : 0.11493611335754395 length of segment : 383 time for calcul the mask position with numpy : 0.1914069652557373 nb_pixel_total : 32810 time to create 1 rle with old method : 0.05853533744812012 length of segment : 308 time for calcul the mask position with numpy : 0.033493757247924805 nb_pixel_total : 10852 time to create 1 rle with old method : 0.016919612884521484 length of segment : 144 time for calcul the mask position with numpy : 0.11453366279602051 nb_pixel_total : 72753 time to create 1 rle with old method : 0.08594226837158203 length of segment : 248 time for calcul the mask position with numpy : 0.10920357704162598 nb_pixel_total : 19105 time to create 1 rle with old method : 0.03286170959472656 length of segment : 159 time for calcul the mask position with numpy : 0.10710525512695312 nb_pixel_total : 32274 time to create 1 rle with old method : 0.04548525810241699 length of segment : 366 time for calcul the mask position with numpy : 0.050752878189086914 nb_pixel_total : 10390 time to create 1 rle with old method : 0.015501976013183594 length of segment : 86 time for calcul the mask position with numpy : 0.1746807098388672 nb_pixel_total : 43181 time to create 1 rle with old method : 0.051835060119628906 length of segment : 427 time for calcul the mask position with numpy : 0.16263198852539062 nb_pixel_total : 45791 time to create 1 rle with old method : 0.062319040298461914 length of segment : 385 time for calcul the mask position with numpy : 0.12871313095092773 nb_pixel_total : 38865 time to create 1 rle with old method : 0.04753470420837402 length of segment : 205 time for calcul the mask position with numpy : 0.03807783126831055 nb_pixel_total : 11174 time to create 1 rle with old method : 0.01796698570251465 length of segment : 71 time for calcul the mask position with numpy : 0.023115158081054688 nb_pixel_total : 11445 time to create 1 rle with old method : 0.018213748931884766 length of segment : 132 time for calcul the mask position with numpy : 0.06176567077636719 nb_pixel_total : 8768 time to create 1 rle with old method : 0.013646602630615234 length of segment : 133 time for calcul the mask position with numpy : 0.14032387733459473 nb_pixel_total : 64380 time to create 1 rle with old method : 0.08424139022827148 length of segment : 360 time for calcul the mask position with numpy : 0.03883647918701172 nb_pixel_total : 17017 time to create 1 rle with old method : 0.02375936508178711 length of segment : 154 time for calcul the mask position with numpy : 0.15069961547851562 nb_pixel_total : 71439 time to create 1 rle with old method : 0.08297133445739746 length of segment : 464 time for calcul the mask position with numpy : 0.11006951332092285 nb_pixel_total : 58284 time to create 1 rle with old method : 0.0661156177520752 length of segment : 404 time for calcul the mask position with numpy : 0.09130072593688965 nb_pixel_total : 31596 time to create 1 rle with old method : 0.03844785690307617 length of segment : 259 time for calcul the mask position with numpy : 0.01976919174194336 nb_pixel_total : 7464 time to create 1 rle with old method : 0.013511180877685547 length of segment : 112 time for calcul the mask position with numpy : 0.0484311580657959 nb_pixel_total : 19488 time to create 1 rle with old method : 0.03032231330871582 length of segment : 155 time for calcul the mask position with numpy : 0.15780115127563477 nb_pixel_total : 28521 time to create 1 rle with old method : 0.04031205177307129 length of segment : 290 time for calcul the mask position with numpy : 0.016485929489135742 nb_pixel_total : 6766 time to create 1 rle with old method : 0.012207746505737305 length of segment : 79 time for calcul the mask position with numpy : 0.03580594062805176 nb_pixel_total : 11070 time to create 1 rle with old method : 0.018292665481567383 length of segment : 120 time for calcul the mask position with numpy : 0.06429219245910645 nb_pixel_total : 23161 time to create 1 rle with old method : 0.030750036239624023 length of segment : 122 time for calcul the mask position with numpy : 0.030942201614379883 nb_pixel_total : 8834 time to create 1 rle with old method : 0.015112161636352539 length of segment : 112 time for calcul the mask position with numpy : 0.013640642166137695 nb_pixel_total : 11888 time to create 1 rle with old method : 0.013682365417480469 length of segment : 155 time for calcul the mask position with numpy : 0.18744373321533203 nb_pixel_total : 34287 time to create 1 rle with old method : 0.04325366020202637 length of segment : 325 time for calcul the mask position with numpy : 0.08800649642944336 nb_pixel_total : 21984 time to create 1 rle with old method : 0.029502391815185547 length of segment : 206 time for calcul the mask position with numpy : 0.14255118370056152 nb_pixel_total : 37169 time to create 1 rle with old method : 0.0458834171295166 length of segment : 281 time for calcul the mask position with numpy : 0.011644840240478516 nb_pixel_total : 12902 time to create 1 rle with old method : 0.01978135108947754 length of segment : 116 time for calcul the mask position with numpy : 0.03627610206604004 nb_pixel_total : 20679 time to create 1 rle with old method : 0.030249834060668945 length of segment : 147 time for calcul the mask position with numpy : 0.08334732055664062 nb_pixel_total : 30336 time to create 1 rle with old method : 0.05572986602783203 length of segment : 335 time for calcul the mask position with numpy : 0.06758737564086914 nb_pixel_total : 21859 time to create 1 rle with old method : 0.029288768768310547 length of segment : 207 time for calcul the mask position with numpy : 0.22536945343017578 nb_pixel_total : 70521 time to create 1 rle with old method : 0.08333396911621094 length of segment : 393 time for calcul the mask position with numpy : 0.06610536575317383 nb_pixel_total : 22121 time to create 1 rle with old method : 0.03056788444519043 length of segment : 139 time for calcul the mask position with numpy : 0.14793658256530762 nb_pixel_total : 51422 time to create 1 rle with old method : 0.05906224250793457 length of segment : 375 time for calcul the mask position with numpy : 0.0508577823638916 nb_pixel_total : 10338 time to create 1 rle with old method : 0.01390838623046875 length of segment : 111 time for calcul the mask position with numpy : 0.2899003028869629 nb_pixel_total : 69669 time to create 1 rle with old method : 0.08881640434265137 length of segment : 392 time for calcul the mask position with numpy : 0.03718137741088867 nb_pixel_total : 16384 time to create 1 rle with old method : 0.023530244827270508 length of segment : 141 time for calcul the mask position with numpy : 0.7894649505615234 nb_pixel_total : 98006 time to create 1 rle with old method : 0.11679697036743164 length of segment : 501 time for calcul the mask position with numpy : 0.20310354232788086 nb_pixel_total : 131629 time to create 1 rle with old method : 0.14651203155517578 length of segment : 554 time for calcul the mask position with numpy : 0.1062314510345459 nb_pixel_total : 14728 time to create 1 rle with old method : 0.02199387550354004 length of segment : 189 time for calcul the mask position with numpy : 0.11058735847473145 nb_pixel_total : 38875 time to create 1 rle with old method : 0.04473161697387695 length of segment : 296 time for calcul the mask position with numpy : 0.00021982192993164062 nb_pixel_total : 5726 time to create 1 rle with old method : 0.007004976272583008 length of segment : 96 time for calcul the mask position with numpy : 0.027205944061279297 nb_pixel_total : 33471 time to create 1 rle with old method : 0.04213094711303711 length of segment : 305 time for calcul the mask position with numpy : 0.04551434516906738 nb_pixel_total : 17158 time to create 1 rle with old method : 0.023108482360839844 length of segment : 172 time for calcul the mask position with numpy : 0.04701399803161621 nb_pixel_total : 9009 time to create 1 rle with old method : 0.01409912109375 length of segment : 114 time for calcul the mask position with numpy : 0.2488081455230713 nb_pixel_total : 51850 time to create 1 rle with old method : 0.0596613883972168 length of segment : 241 time for calcul the mask position with numpy : 0.030453205108642578 nb_pixel_total : 20862 time to create 1 rle with old method : 0.02725386619567871 length of segment : 214 time for calcul the mask position with numpy : 0.00966954231262207 nb_pixel_total : 34985 time to create 1 rle with old method : 0.04282212257385254 length of segment : 146 time for calcul the mask position with numpy : 0.07348370552062988 nb_pixel_total : 40118 time to create 1 rle with old method : 0.04894518852233887 length of segment : 457 time for calcul the mask position with numpy : 0.15258359909057617 nb_pixel_total : 80679 time to create 1 rle with old method : 0.10265564918518066 length of segment : 339 time for calcul the mask position with numpy : 0.0005917549133300781 nb_pixel_total : 16608 time to create 1 rle with old method : 0.019071340560913086 length of segment : 238 time for calcul the mask position with numpy : 0.04539632797241211 nb_pixel_total : 7780 time to create 1 rle with old method : 0.014166831970214844 length of segment : 103 time for calcul the mask position with numpy : 0.02048802375793457 nb_pixel_total : 12512 time to create 1 rle with old method : 0.019454479217529297 length of segment : 186 time for calcul the mask position with numpy : 0.0063037872314453125 nb_pixel_total : 29171 time to create 1 rle with old method : 0.03538227081298828 length of segment : 238 time for calcul the mask position with numpy : 0.01628565788269043 nb_pixel_total : 14057 time to create 1 rle with old method : 0.01933145523071289 length of segment : 135 time for calcul the mask position with numpy : 0.038579702377319336 nb_pixel_total : 15540 time to create 1 rle with old method : 0.02300882339477539 length of segment : 200 time for calcul the mask position with numpy : 0.022207975387573242 nb_pixel_total : 8652 time to create 1 rle with old method : 0.015596866607666016 length of segment : 132 time for calcul the mask position with numpy : 0.02368330955505371 nb_pixel_total : 10643 time to create 1 rle with old method : 0.0162203311920166 length of segment : 166 time for calcul the mask position with numpy : 0.029468059539794922 nb_pixel_total : 9186 time to create 1 rle with old method : 0.015665292739868164 length of segment : 141 time for calcul the mask position with numpy : 0.06078004837036133 nb_pixel_total : 11851 time to create 1 rle with old method : 0.01936626434326172 length of segment : 159 time for calcul the mask position with numpy : 0.0003819465637207031 nb_pixel_total : 9014 time to create 1 rle with old method : 0.013642072677612305 length of segment : 114 time for calcul the mask position with numpy : 0.0240628719329834 nb_pixel_total : 4325 time to create 1 rle with old method : 0.007915258407592773 length of segment : 72 time for calcul the mask position with numpy : 0.0919046401977539 nb_pixel_total : 55056 time to create 1 rle with old method : 0.07857394218444824 length of segment : 292 time for calcul the mask position with numpy : 0.008672237396240234 nb_pixel_total : 9550 time to create 1 rle with old method : 0.013701677322387695 length of segment : 126 time for calcul the mask position with numpy : 0.010565996170043945 nb_pixel_total : 4962 time to create 1 rle with old method : 0.007039070129394531 length of segment : 71 time for calcul the mask position with numpy : 0.12160825729370117 nb_pixel_total : 42778 time to create 1 rle with old method : 0.06164979934692383 length of segment : 496 time for calcul the mask position with numpy : 0.016390562057495117 nb_pixel_total : 14155 time to create 1 rle with old method : 0.018952608108520508 length of segment : 341 time for calcul the mask position with numpy : 0.07606673240661621 nb_pixel_total : 45878 time to create 1 rle with old method : 0.055042266845703125 length of segment : 249 time for calcul the mask position with numpy : 0.040599822998046875 nb_pixel_total : 34322 time to create 1 rle with old method : 0.04240727424621582 length of segment : 206 time for calcul the mask position with numpy : 0.06612658500671387 nb_pixel_total : 19639 time to create 1 rle with old method : 0.027204513549804688 length of segment : 185 time for calcul the mask position with numpy : 0.1306006908416748 nb_pixel_total : 79729 time to create 1 rle with old method : 0.09340071678161621 length of segment : 431 time for calcul the mask position with numpy : 0.05018496513366699 nb_pixel_total : 11599 time to create 1 rle with old method : 0.018431901931762695 length of segment : 130 time for calcul the mask position with numpy : 0.1145930290222168 nb_pixel_total : 21111 time to create 1 rle with old method : 0.024222373962402344 length of segment : 331 time for calcul the mask position with numpy : 0.05055570602416992 nb_pixel_total : 33474 time to create 1 rle with old method : 0.04298686981201172 length of segment : 312 time for calcul the mask position with numpy : 0.04305315017700195 nb_pixel_total : 11317 time to create 1 rle with old method : 0.01665329933166504 length of segment : 119 time for calcul the mask position with numpy : 0.4889812469482422 nb_pixel_total : 147782 time to create 1 rle with old method : 0.16616153717041016 length of segment : 448 time for calcul the mask position with numpy : 0.0005085468292236328 nb_pixel_total : 10881 time to create 1 rle with old method : 0.012148857116699219 length of segment : 112 time for calcul the mask position with numpy : 0.022939443588256836 nb_pixel_total : 6806 time to create 1 rle with old method : 0.008005857467651367 length of segment : 127 time for calcul the mask position with numpy : 0.009742259979248047 nb_pixel_total : 12337 time to create 1 rle with old method : 0.014153242111206055 length of segment : 154 time for calcul the mask position with numpy : 0.17993903160095215 nb_pixel_total : 67496 time to create 1 rle with old method : 0.08963513374328613 length of segment : 375 time for calcul the mask position with numpy : 0.0552830696105957 nb_pixel_total : 32498 time to create 1 rle with old method : 0.04004073143005371 length of segment : 405 time for calcul the mask position with numpy : 0.20443177223205566 nb_pixel_total : 77332 time to create 1 rle with old method : 0.08992147445678711 length of segment : 666 time for calcul the mask position with numpy : 0.06775236129760742 nb_pixel_total : 37371 time to create 1 rle with old method : 0.04601907730102539 length of segment : 226 time for calcul the mask position with numpy : 0.04548168182373047 nb_pixel_total : 20526 time to create 1 rle with old method : 0.028268098831176758 length of segment : 124 time for calcul the mask position with numpy : 0.02315998077392578 nb_pixel_total : 30881 time to create 1 rle with old method : 0.03814363479614258 length of segment : 253 time for calcul the mask position with numpy : 0.08420586585998535 nb_pixel_total : 51977 time to create 1 rle with old method : 0.0629580020904541 length of segment : 520 time for calcul the mask position with numpy : 0.006768465042114258 nb_pixel_total : 9235 time to create 1 rle with old method : 0.012872457504272461 length of segment : 126 time for calcul the mask position with numpy : 0.0372319221496582 nb_pixel_total : 34929 time to create 1 rle with old method : 0.04305577278137207 length of segment : 169 time for calcul the mask position with numpy : 0.026166200637817383 nb_pixel_total : 5413 time to create 1 rle with old method : 0.010626792907714844 length of segment : 96 time for calcul the mask position with numpy : 0.055429935455322266 nb_pixel_total : 38022 time to create 1 rle with old method : 0.04628801345825195 length of segment : 191 time for calcul the mask position with numpy : 0.06108880043029785 nb_pixel_total : 24358 time to create 1 rle with old method : 0.03119516372680664 length of segment : 180 time for calcul the mask position with numpy : 0.0001811981201171875 nb_pixel_total : 7094 time to create 1 rle with old method : 0.008424520492553711 length of segment : 117 time for calcul the mask position with numpy : 0.06432294845581055 nb_pixel_total : 35749 time to create 1 rle with old method : 0.05332803726196289 length of segment : 226 time for calcul the mask position with numpy : 0.009903907775878906 nb_pixel_total : 8319 time to create 1 rle with old method : 0.011883258819580078 length of segment : 85 time for calcul the mask position with numpy : 0.038327693939208984 nb_pixel_total : 26580 time to create 1 rle with old method : 0.03536558151245117 length of segment : 300 time for calcul the mask position with numpy : 0.17947649955749512 nb_pixel_total : 153061 time to create 1 rle with new method : 0.016084909439086914 length of segment : 705 time for calcul the mask position with numpy : 0.09677886962890625 nb_pixel_total : 59599 time to create 1 rle with old method : 0.06804442405700684 length of segment : 613 time for calcul the mask position with numpy : 0.034623146057128906 nb_pixel_total : 17797 time to create 1 rle with old method : 0.023101806640625 length of segment : 276 time for calcul the mask position with numpy : 0.0113525390625 nb_pixel_total : 11896 time to create 1 rle with old method : 0.017371177673339844 length of segment : 122 time for calcul the mask position with numpy : 0.03667569160461426 nb_pixel_total : 35801 time to create 1 rle with old method : 0.04224085807800293 length of segment : 245 time for calcul the mask position with numpy : 0.08275008201599121 nb_pixel_total : 50719 time to create 1 rle with old method : 0.06045699119567871 length of segment : 274 time for calcul the mask position with numpy : 0.014957904815673828 nb_pixel_total : 10435 time to create 1 rle with old method : 0.017688512802124023 length of segment : 217 time for calcul the mask position with numpy : 0.022465229034423828 nb_pixel_total : 21467 time to create 1 rle with old method : 0.02916097640991211 length of segment : 131 time for calcul the mask position with numpy : 0.0946507453918457 nb_pixel_total : 58190 time to create 1 rle with old method : 0.07223939895629883 length of segment : 331 time for calcul the mask position with numpy : 0.03170037269592285 nb_pixel_total : 19570 time to create 1 rle with old method : 0.02832484245300293 length of segment : 189 time for calcul the mask position with numpy : 0.03664374351501465 nb_pixel_total : 34512 time to create 1 rle with old method : 0.03867387771606445 length of segment : 262 time for calcul the mask position with numpy : 0.02213740348815918 nb_pixel_total : 22629 time to create 1 rle with old method : 0.025551557540893555 length of segment : 210 time for calcul the mask position with numpy : 0.015524148941040039 nb_pixel_total : 17921 time to create 1 rle with old method : 0.025160551071166992 length of segment : 158 time for calcul the mask position with numpy : 0.033766984939575195 nb_pixel_total : 39584 time to create 1 rle with old method : 0.04982924461364746 length of segment : 358 time for calcul the mask position with numpy : 0.029207468032836914 nb_pixel_total : 37632 time to create 1 rle with old method : 0.04769134521484375 length of segment : 216 time for calcul the mask position with numpy : 0.012140274047851562 nb_pixel_total : 13089 time to create 1 rle with old method : 0.01796746253967285 length of segment : 173 time for calcul the mask position with numpy : 0.03926968574523926 nb_pixel_total : 39234 time to create 1 rle with old method : 0.04645729064941406 length of segment : 314 time for calcul the mask position with numpy : 0.01688528060913086 nb_pixel_total : 9075 time to create 1 rle with old method : 0.015289545059204102 length of segment : 168 time for calcul the mask position with numpy : 0.016242504119873047 nb_pixel_total : 13756 time to create 1 rle with old method : 0.021340131759643555 length of segment : 172 time for calcul the mask position with numpy : 0.07060718536376953 nb_pixel_total : 63359 time to create 1 rle with old method : 0.07549142837524414 length of segment : 181 time for calcul the mask position with numpy : 0.026335716247558594 nb_pixel_total : 19286 time to create 1 rle with old method : 0.02645277976989746 length of segment : 282 time for calcul the mask position with numpy : 0.006945133209228516 nb_pixel_total : 6640 time to create 1 rle with old method : 0.009174108505249023 length of segment : 130 time for calcul the mask position with numpy : 0.01472616195678711 nb_pixel_total : 12226 time to create 1 rle with old method : 0.018379688262939453 length of segment : 155 time for calcul the mask position with numpy : 0.02122020721435547 nb_pixel_total : 9403 time to create 1 rle with old method : 0.013705968856811523 length of segment : 93 time for calcul the mask position with numpy : 0.041351318359375 nb_pixel_total : 24407 time to create 1 rle with old method : 0.030082225799560547 length of segment : 481 time for calcul the mask position with numpy : 0.03561115264892578 nb_pixel_total : 46566 time to create 1 rle with old method : 0.056237220764160156 length of segment : 255 time for calcul the mask position with numpy : 0.02289581298828125 nb_pixel_total : 32160 time to create 1 rle with old method : 0.04006457328796387 length of segment : 245 time for calcul the mask position with numpy : 0.015787363052368164 nb_pixel_total : 14369 time to create 1 rle with old method : 0.016509294509887695 length of segment : 199 time for calcul the mask position with numpy : 0.014971733093261719 nb_pixel_total : 21112 time to create 1 rle with old method : 0.024214982986450195 length of segment : 179 time for calcul the mask position with numpy : 0.012343406677246094 nb_pixel_total : 20442 time to create 1 rle with old method : 0.025458097457885742 length of segment : 173 time for calcul the mask position with numpy : 0.15115737915039062 nb_pixel_total : 150105 time to create 1 rle with new method : 0.017637968063354492 length of segment : 415 time for calcul the mask position with numpy : 0.024072885513305664 nb_pixel_total : 23487 time to create 1 rle with old method : 0.03032088279724121 length of segment : 251 time for calcul the mask position with numpy : 0.010076284408569336 nb_pixel_total : 10722 time to create 1 rle with old method : 0.01573944091796875 length of segment : 143 time for calcul the mask position with numpy : 0.1312267780303955 nb_pixel_total : 98872 time to create 1 rle with old method : 0.1218709945678711 length of segment : 399 time for calcul the mask position with numpy : 0.025068044662475586 nb_pixel_total : 51469 time to create 1 rle with old method : 0.06762146949768066 length of segment : 232 time for calcul the mask position with numpy : 0.008690595626831055 nb_pixel_total : 9622 time to create 1 rle with old method : 0.013775110244750977 length of segment : 139 time for calcul the mask position with numpy : 0.014897823333740234 nb_pixel_total : 16556 time to create 1 rle with old method : 0.02395319938659668 length of segment : 151 time for calcul the mask position with numpy : 0.016563892364501953 nb_pixel_total : 14367 time to create 1 rle with old method : 0.021939754486083984 length of segment : 114 time for calcul the mask position with numpy : 0.0136566162109375 nb_pixel_total : 7951 time to create 1 rle with old method : 0.013309240341186523 length of segment : 110 time for calcul the mask position with numpy : 0.001789093017578125 nb_pixel_total : 10632 time to create 1 rle with old method : 0.011722564697265625 length of segment : 121 time for calcul the mask position with numpy : 0.02053380012512207 nb_pixel_total : 49354 time to create 1 rle with old method : 0.05871081352233887 length of segment : 254 time for calcul the mask position with numpy : 0.0698697566986084 nb_pixel_total : 97947 time to create 1 rle with old method : 0.10870575904846191 length of segment : 346 time for calcul the mask position with numpy : 0.05999326705932617 nb_pixel_total : 109539 time to create 1 rle with old method : 0.12604331970214844 length of segment : 486 time for calcul the mask position with numpy : 0.011754751205444336 nb_pixel_total : 22626 time to create 1 rle with old method : 0.029329776763916016 length of segment : 132 time for calcul the mask position with numpy : 0.03375124931335449 nb_pixel_total : 40336 time to create 1 rle with old method : 0.05204367637634277 length of segment : 375 time for calcul the mask position with numpy : 0.009010791778564453 nb_pixel_total : 4911 time to create 1 rle with old method : 0.006249666213989258 length of segment : 74 time for calcul the mask position with numpy : 0.009385824203491211 nb_pixel_total : 11535 time to create 1 rle with old method : 0.017438173294067383 length of segment : 106 time for calcul the mask position with numpy : 0.010968446731567383 nb_pixel_total : 21543 time to create 1 rle with old method : 0.02731776237487793 length of segment : 135 time for calcul the mask position with numpy : 0.02152109146118164 nb_pixel_total : 14110 time to create 1 rle with old method : 0.01883077621459961 length of segment : 168 time for calcul the mask position with numpy : 0.024443387985229492 nb_pixel_total : 26082 time to create 1 rle with old method : 0.03319740295410156 length of segment : 252 time for calcul the mask position with numpy : 0.001130819320678711 nb_pixel_total : 4199 time to create 1 rle with old method : 0.0049135684967041016 length of segment : 105 time for calcul the mask position with numpy : 0.01391744613647461 nb_pixel_total : 26377 time to create 1 rle with old method : 0.034707069396972656 length of segment : 267 time for calcul the mask position with numpy : 0.04932689666748047 nb_pixel_total : 36944 time to create 1 rle with old method : 0.0458073616027832 length of segment : 210 time for calcul the mask position with numpy : 0.06960082054138184 nb_pixel_total : 44847 time to create 1 rle with old method : 0.05359244346618652 length of segment : 435 time for calcul the mask position with numpy : 0.006009578704833984 nb_pixel_total : 17473 time to create 1 rle with old method : 0.024361371994018555 length of segment : 189 time for calcul the mask position with numpy : 0.0327913761138916 nb_pixel_total : 29033 time to create 1 rle with old method : 0.035799264907836914 length of segment : 180 time for calcul the mask position with numpy : 0.004086971282958984 nb_pixel_total : 8343 time to create 1 rle with old method : 0.009602546691894531 length of segment : 85 time for calcul the mask position with numpy : 0.0006384849548339844 nb_pixel_total : 6434 time to create 1 rle with old method : 0.007962942123413086 length of segment : 100 time for calcul the mask position with numpy : 0.008242607116699219 nb_pixel_total : 16665 time to create 1 rle with old method : 0.02216053009033203 length of segment : 116 time for calcul the mask position with numpy : 0.03596615791320801 nb_pixel_total : 23922 time to create 1 rle with old method : 0.03270888328552246 length of segment : 194 time for calcul the mask position with numpy : 0.038421630859375 nb_pixel_total : 33682 time to create 1 rle with old method : 0.045346975326538086 length of segment : 516 time for calcul the mask position with numpy : 0.004524707794189453 nb_pixel_total : 46524 time to create 1 rle with old method : 0.0634002685546875 length of segment : 225 time for calcul the mask position with numpy : 0.007820367813110352 nb_pixel_total : 8863 time to create 1 rle with old method : 0.011962413787841797 length of segment : 170 time for calcul the mask position with numpy : 0.01630377769470215 nb_pixel_total : 11330 time to create 1 rle with old method : 0.018402814865112305 length of segment : 134 time for calcul the mask position with numpy : 0.020872116088867188 nb_pixel_total : 18246 time to create 1 rle with old method : 0.025997638702392578 length of segment : 201 time for calcul the mask position with numpy : 0.02214360237121582 nb_pixel_total : 10460 time to create 1 rle with old method : 0.01490640640258789 length of segment : 182 time for calcul the mask position with numpy : 0.05391383171081543 nb_pixel_total : 39960 time to create 1 rle with old method : 0.049132585525512695 length of segment : 324 time for calcul the mask position with numpy : 0.005400180816650391 nb_pixel_total : 5700 time to create 1 rle with old method : 0.007376909255981445 length of segment : 72 time for calcul the mask position with numpy : 0.027129650115966797 nb_pixel_total : 29325 time to create 1 rle with old method : 0.03975725173950195 length of segment : 149 time for calcul the mask position with numpy : 0.0129852294921875 nb_pixel_total : 10425 time to create 1 rle with old method : 0.021930217742919922 length of segment : 112 time for calcul the mask position with numpy : 0.0019605159759521484 nb_pixel_total : 4324 time to create 1 rle with old method : 0.0049250125885009766 length of segment : 83 time for calcul the mask position with numpy : 0.00871586799621582 nb_pixel_total : 7886 time to create 1 rle with old method : 0.014403820037841797 length of segment : 119 time for calcul the mask position with numpy : 0.06900954246520996 nb_pixel_total : 34059 time to create 1 rle with old method : 0.042107582092285156 length of segment : 313 time for calcul the mask position with numpy : 0.025073528289794922 nb_pixel_total : 21462 time to create 1 rle with old method : 0.037786245346069336 length of segment : 215 time for calcul the mask position with numpy : 0.03464198112487793 nb_pixel_total : 33160 time to create 1 rle with old method : 0.04130721092224121 length of segment : 256 time for calcul the mask position with numpy : 0.04940938949584961 nb_pixel_total : 20274 time to create 1 rle with old method : 0.02800607681274414 length of segment : 206 time for calcul the mask position with numpy : 0.0137481689453125 nb_pixel_total : 15014 time to create 1 rle with old method : 0.0228579044342041 length of segment : 139 time for calcul the mask position with numpy : 0.002828359603881836 nb_pixel_total : 21706 time to create 1 rle with old method : 0.023828744888305664 length of segment : 201 time for calcul the mask position with numpy : 0.016158342361450195 nb_pixel_total : 16555 time to create 1 rle with old method : 0.02332282066345215 length of segment : 153 time for calcul the mask position with numpy : 0.06905555725097656 nb_pixel_total : 59736 time to create 1 rle with old method : 0.06968188285827637 length of segment : 237 time for calcul the mask position with numpy : 0.026981115341186523 nb_pixel_total : 21482 time to create 1 rle with old method : 0.035246849060058594 length of segment : 163 time for calcul the mask position with numpy : 0.02953338623046875 nb_pixel_total : 33187 time to create 1 rle with old method : 0.04824376106262207 length of segment : 219 time for calcul the mask position with numpy : 0.0016579627990722656 nb_pixel_total : 5121 time to create 1 rle with old method : 0.005864858627319336 length of segment : 294 time for calcul the mask position with numpy : 0.06868100166320801 nb_pixel_total : 30743 time to create 1 rle with old method : 0.0377657413482666 length of segment : 301 time for calcul the mask position with numpy : 0.017847776412963867 nb_pixel_total : 6117 time to create 1 rle with old method : 0.010334014892578125 length of segment : 97 time for calcul the mask position with numpy : 0.011440515518188477 nb_pixel_total : 11795 time to create 1 rle with old method : 0.016632080078125 length of segment : 117 time for calcul the mask position with numpy : 0.1495828628540039 nb_pixel_total : 46796 time to create 1 rle with old method : 0.05564141273498535 length of segment : 230 time for calcul the mask position with numpy : 0.030488967895507812 nb_pixel_total : 20784 time to create 1 rle with old method : 0.028098583221435547 length of segment : 164 time for calcul the mask position with numpy : 0.031757354736328125 nb_pixel_total : 20528 time to create 1 rle with old method : 0.025991439819335938 length of segment : 165 time for calcul the mask position with numpy : 0.025976181030273438 nb_pixel_total : 22386 time to create 1 rle with old method : 0.03960895538330078 length of segment : 274 time for calcul the mask position with numpy : 0.0040378570556640625 nb_pixel_total : 3027 time to create 1 rle with old method : 0.003605365753173828 length of segment : 50 time for calcul the mask position with numpy : 0.009347677230834961 nb_pixel_total : 6445 time to create 1 rle with old method : 0.009318828582763672 length of segment : 109 time for calcul the mask position with numpy : 0.015811443328857422 nb_pixel_total : 13026 time to create 1 rle with old method : 0.01892399787902832 length of segment : 86 time for calcul the mask position with numpy : 0.0013239383697509766 nb_pixel_total : 15228 time to create 1 rle with old method : 0.0169217586517334 length of segment : 139 time for calcul the mask position with numpy : 0.02829885482788086 nb_pixel_total : 37597 time to create 1 rle with old method : 0.04178261756896973 length of segment : 194 time for calcul the mask position with numpy : 0.04756307601928711 nb_pixel_total : 39979 time to create 1 rle with old method : 0.04836440086364746 length of segment : 446 time for calcul the mask position with numpy : 0.02080368995666504 nb_pixel_total : 29029 time to create 1 rle with old method : 0.03756546974182129 length of segment : 208 time for calcul the mask position with numpy : 0.029022693634033203 nb_pixel_total : 26751 time to create 1 rle with old method : 0.032678842544555664 length of segment : 191 time for calcul the mask position with numpy : 0.021607160568237305 nb_pixel_total : 31182 time to create 1 rle with old method : 0.04049229621887207 length of segment : 147 time for calcul the mask position with numpy : 0.027539730072021484 nb_pixel_total : 25058 time to create 1 rle with old method : 0.03200268745422363 length of segment : 203 time for calcul the mask position with numpy : 0.007258892059326172 nb_pixel_total : 5334 time to create 1 rle with old method : 0.007292985916137695 length of segment : 72 time for calcul the mask position with numpy : 0.016034841537475586 nb_pixel_total : 10944 time to create 1 rle with old method : 0.017066001892089844 length of segment : 156 time for calcul the mask position with numpy : 0.04073047637939453 nb_pixel_total : 47234 time to create 1 rle with old method : 0.05929446220397949 length of segment : 282 time for calcul the mask position with numpy : 0.02141880989074707 nb_pixel_total : 17782 time to create 1 rle with old method : 0.02423834800720215 length of segment : 230 time for calcul the mask position with numpy : 0.031792640686035156 nb_pixel_total : 34784 time to create 1 rle with old method : 0.041794538497924805 length of segment : 181 time for calcul the mask position with numpy : 0.04095125198364258 nb_pixel_total : 49398 time to create 1 rle with old method : 0.058652639389038086 length of segment : 239 time for calcul the mask position with numpy : 0.0028085708618164062 nb_pixel_total : 5579 time to create 1 rle with old method : 0.006185293197631836 length of segment : 98 time for calcul the mask position with numpy : 0.021209716796875 nb_pixel_total : 16090 time to create 1 rle with old method : 0.023397445678710938 length of segment : 176 time for calcul the mask position with numpy : 0.0239102840423584 nb_pixel_total : 32612 time to create 1 rle with old method : 0.041315555572509766 length of segment : 167 time for calcul the mask position with numpy : 0.026161909103393555 nb_pixel_total : 30045 time to create 1 rle with old method : 0.0373075008392334 length of segment : 283 time for calcul the mask position with numpy : 0.041149139404296875 nb_pixel_total : 16815 time to create 1 rle with old method : 0.024960994720458984 length of segment : 168 time for calcul the mask position with numpy : 0.017244577407836914 nb_pixel_total : 12693 time to create 1 rle with old method : 0.019423723220825195 length of segment : 217 time for calcul the mask position with numpy : 0.11238384246826172 nb_pixel_total : 115215 time to create 1 rle with old method : 0.13753771781921387 length of segment : 506 time for calcul the mask position with numpy : 0.018863916397094727 nb_pixel_total : 13706 time to create 1 rle with old method : 0.021360397338867188 length of segment : 127 time for calcul the mask position with numpy : 0.010389566421508789 nb_pixel_total : 21372 time to create 1 rle with old method : 0.026096343994140625 length of segment : 350 time for calcul the mask position with numpy : 0.003973484039306641 nb_pixel_total : 6688 time to create 1 rle with old method : 0.01024627685546875 length of segment : 122 time for calcul the mask position with numpy : 0.017705678939819336 nb_pixel_total : 8941 time to create 1 rle with old method : 0.014966011047363281 length of segment : 173 time for calcul the mask position with numpy : 0.00826716423034668 nb_pixel_total : 8834 time to create 1 rle with old method : 0.010259151458740234 length of segment : 177 time for calcul the mask position with numpy : 0.043434858322143555 nb_pixel_total : 33241 time to create 1 rle with old method : 0.04495954513549805 length of segment : 330 time for calcul the mask position with numpy : 0.013424396514892578 nb_pixel_total : 30049 time to create 1 rle with old method : 0.036396026611328125 length of segment : 358 time for calcul the mask position with numpy : 0.021358728408813477 nb_pixel_total : 24888 time to create 1 rle with old method : 0.030139684677124023 length of segment : 224 time for calcul the mask position with numpy : 0.016208887100219727 nb_pixel_total : 36941 time to create 1 rle with old method : 0.046297311782836914 length of segment : 368 time for calcul the mask position with numpy : 0.0003292560577392578 nb_pixel_total : 8540 time to create 1 rle with old method : 0.009904861450195312 length of segment : 188 time for calcul the mask position with numpy : 0.010799407958984375 nb_pixel_total : 15604 time to create 1 rle with old method : 0.022341489791870117 length of segment : 138 time for calcul the mask position with numpy : 0.08080339431762695 nb_pixel_total : 52946 time to create 1 rle with old method : 0.07027626037597656 length of segment : 476 time for calcul the mask position with numpy : 0.0012428760528564453 nb_pixel_total : 4491 time to create 1 rle with old method : 0.005171537399291992 length of segment : 138 time for calcul the mask position with numpy : 0.0016589164733886719 nb_pixel_total : 7117 time to create 1 rle with old method : 0.00850820541381836 length of segment : 163 time for calcul the mask position with numpy : 0.02589559555053711 nb_pixel_total : 20189 time to create 1 rle with old method : 0.027164459228515625 length of segment : 196 time for calcul the mask position with numpy : 0.05303788185119629 nb_pixel_total : 52730 time to create 1 rle with old method : 0.06332802772521973 length of segment : 393 time for calcul the mask position with numpy : 0.0004761219024658203 nb_pixel_total : 1490 time to create 1 rle with old method : 0.001928091049194336 length of segment : 43 time for calcul the mask position with numpy : 0.01954054832458496 nb_pixel_total : 20779 time to create 1 rle with old method : 0.027906417846679688 length of segment : 184 time spent for convertir_results : 236.72931289672852 Inside saveOutput : final : False verbose : 0 eke 12-6-18 : saveMask need to be cleaned for new output ! Number saved : None batch 1 Loaded 1218 chid ids of type : 3594 Number RLEs to save : 312271 save missing photos in datou_result : time spend for datou_step_exec : 855.6963865756989 time spend to save output : 35.0436589717865 total time spend for step 1 : 890.7400455474854 step2:crop_condition Tue Apr 1 19:35:26 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure Loading chi in step crop with photo_hashtag_type : 3594 Loading chi in step crop for list_pids : 30 ! batch 1 Loaded 1218 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ begin to crop the class : papier param for this class : {'min_score': 0.7} filtre for class : papier hashtag_id of this class : 492668766 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! 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we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! 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 : 905 About to insert : list_path_to_insert length 905 new photo from crops ! About to upload 905 photos upload in portfolio : 3736932 init cache_photo without model_param we have 905 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743529096_2191812 we have uploaded 905 photos in the portfolio 3736932 time of upload the photos Elapsed time : 317.60348892211914 we have finished the crop for the class : papier begin to crop the class : carton param for this class : {'min_score': 0.7} filtre for class : carton hashtag_id of this class : 492774966 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! 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 : 182 About to insert : list_path_to_insert length 182 new photo from crops ! About to upload 182 photos upload in portfolio : 3736932 init cache_photo without model_param we have 182 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743529460_2191812 we have uploaded 182 photos in the portfolio 3736932 time of upload the photos Elapsed time : 58.97229886054993 we have finished the crop for the class : carton begin to crop the class : metal param for this class : {'min_score': 0.7} filtre for class : metal hashtag_id of this class : 492628673 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! 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 : 7 About to insert : list_path_to_insert length 7 new photo from crops ! About to upload 7 photos upload in portfolio : 3736932 init cache_photo without model_param we have 7 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743529524_2191812 we have uploaded 7 photos in the portfolio 3736932 time of upload the photos Elapsed time : 4.865820646286011 we have finished the crop for the class : metal begin to crop the class : pet_clair param for this class : {'min_score': 0.7} filtre for class : pet_clair hashtag_id of this class : 2107755846 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! map_result returned by crop_photo_return_map_crop : length : 78 About to insert : list_path_to_insert length 78 new photo from crops ! About to upload 78 photos upload in portfolio : 3736932 init cache_photo without model_param we have 78 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743529560_2191812 we have uploaded 78 photos in the portfolio 3736932 time of upload the photos Elapsed time : 31.02759027481079 we have finished the crop for the class : pet_clair begin to crop the class : autre param for this class : {'min_score': 0.7} filtre for class : autre hashtag_id of this class : 494826614 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! 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 : 27 About to insert : list_path_to_insert length 27 new photo from crops ! About to upload 27 photos upload in portfolio : 3736932 init cache_photo without model_param we have 27 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743529603_2191812 we have uploaded 27 photos in the portfolio 3736932 time of upload the photos Elapsed time : 9.11411166191101 we have finished the crop for the class : autre begin to crop the class : pehd param for this class : {'min_score': 0.7} filtre for class : pehd hashtag_id of this class : 628944319 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! 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 : 10 About to insert : list_path_to_insert length 10 new photo from crops ! About to upload 10 photos upload in portfolio : 3736932 init cache_photo without model_param we have 10 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743529618_2191812 we have uploaded 10 photos in the portfolio 3736932 time of upload the photos Elapsed time : 2.870741605758667 we have finished the crop for the class : pehd begin to crop the class : pet_fonce param for this class : {'min_score': 0.7} filtre for class : pet_fonce hashtag_id of this class : 2107755900 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! map_result returned by crop_photo_return_map_crop : length : 9 About to insert : list_path_to_insert length 9 new photo from crops ! About to upload 9 photos upload in portfolio : 3736932 init cache_photo without model_param we have 9 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743529627_2191812 we have uploaded 9 photos in the portfolio 3736932 time of upload the photos Elapsed time : 2.625490665435791 we have finished the crop for the class : pet_fonce delete rles from all chi we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : crop_condition we use saveGeneral [1349302784, 1349302642, 1349302592, 1349302579, 1349302265, 1349301019, 1349301016, 1349299246, 1349299221, 1349299192, 1349298683, 1349298671, 1349298131, 1349296637, 1349296605, 1349296574, 1349296544, 1349296509, 1349296482, 1349296398, 1349296394, 1349296389, 1349296385, 1349296277, 1349296212, 1349296210, 1349296206, 1349296201, 1349296194, 1349296189] Looping around the photos to save general results len do output : 1218 /1349330591Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330592Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330593Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330594Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330595Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330596Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330597Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330598Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330599Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330600Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330602Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330603Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330604Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330605Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330606Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330607Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330608Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330609Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330610Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330611Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330612Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330613Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330614Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330615Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330616Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330617Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330618Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330619Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330620Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330621Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330622Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330623Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330624Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330625Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330626Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330627Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330628Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330629Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330630Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330631Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330632Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330633Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330634Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330635Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330636Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330637Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330638Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330639Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330640Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330641Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330642Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330643Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330644Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330645Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330646Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330647Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330648Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330649Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330650Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330651Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330652Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330653Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330654Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330655Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330656Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330657Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330658Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330659Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330660Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330662Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330663Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330664Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330665Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330666Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330667Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330668Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330669Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330670Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330671Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330672Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330673Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330674Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330675Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330676Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330677Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330678Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330679Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330680Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330681Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330682Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330683Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330684Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330685Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330686Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330687Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330688Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330689Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330691Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330692Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330693Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330694Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330695Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330696Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330697Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330698Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330699Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330700Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330701Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330702Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330703Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330705Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330706Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330707Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330708Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330709Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330710Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330711Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330712Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330714Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330715Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330716Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330717Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330718Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330719Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330720Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330722Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330723Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330724Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330725Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330726Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330727Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330728Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330729Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330730Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330731Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330732Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330733Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330734Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330735Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330736Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330737Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330738Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330739Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330740Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330741Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330742Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330743Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330744Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330745Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330746Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330747Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330748Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330749Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330750Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330751Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330752Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330753Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330754Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330755Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330756Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330757Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330758Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330759Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330761Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330762Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330763Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330768Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330769Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330770Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330771Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330772Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330773Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330774Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330775Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330776Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330777Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330778Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330779Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330780Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330781Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330782Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330783Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330784Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330785Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330786Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330787Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330788Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330789Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330790Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330791Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330792Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330793Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330794Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330795Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330796Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330797Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330798Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330799Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330800Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330801Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330802Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330803Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330804Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330805Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330806Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330807Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330808Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330809Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330810Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330811Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330812Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330813Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330814Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330815Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330816Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330817Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330819Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330820Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330821Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330822Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330825Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330828Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330829Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330830Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330831Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330832Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330833Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330834Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330835Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330836Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330837Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330838Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330839Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330840Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330841Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330842Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330843Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330844Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330845Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330846Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330847Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330848Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330849Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330850Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330851Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330852Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330853Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330854Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330855Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330856Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330857Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330858Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330859Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330860Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330861Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330862Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330863Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330866Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330867Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330873Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330875Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330876Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330877Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330878Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330879Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330880Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330881Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330882Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330883Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330884Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330885Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330886Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330887Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330888Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330889Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330890Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330891Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330892Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330893Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330894Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330895Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330896Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330897Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330898Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330899Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330900Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330901Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330902Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330903Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330904Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330905Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330906Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330907Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330908Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330909Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330910Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330911Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330912Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330913Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330914Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330915Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330916Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330917Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330919Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330920Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330922Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330923Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330925Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330926Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330927Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330930Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330933Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330940Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330942Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330943Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330944Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330945Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330946Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330947Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330948Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330949Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330950Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330951Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330952Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330953Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330954Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330955Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330956Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330957Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330958Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330959Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330960Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330961Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330962Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330963Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330964Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330965Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330966Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330967Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330968Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330969Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330970Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330971Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330972Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330973Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330974Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330975Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330976Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330977Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330978Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330979Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330984Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330987Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330989Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330990Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330991Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330992Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330993Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330994Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330995Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330996Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330997Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330998Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349330999Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331000Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331001Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331002Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331003Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331004Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331005Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331006Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331007Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331008Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331009Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331010Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331011Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331012Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331013Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331014Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331015Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331016Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331017Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349331018Didn't retrieve data 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.Didn't retrieve data .Didn't retrieve data . /1349332145Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349332146Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349332147Didn'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, '2713807') ('3318', '21951749', '1349302784', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302642', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302592', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302579', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302265', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349301019', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349301016', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299246', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299221', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299192', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298683', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298671', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298131', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296637', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296605', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296574', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296544', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296509', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296482', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296398', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296394', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296389', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296385', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296277', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296212', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296210', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296206', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296201', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296194', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296189', None, None, None, None, None, '2713807') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 3684 time used for this insertion : 0.16088342666625977 save_final save missing photos in datou_result : time spend for datou_step_exec : 703.459281206131 time spend to save output : 0.1922149658203125 total time spend for step 2 : 703.6514961719513 step3:rle_unique_nms_with_priority Tue Apr 1 19:47:09 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array VR 22-3-18 : For now we do not clean correctly the datou structure Begin step rle-unique-nms batch 1 Loaded 1218 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++nb_obj : 30 nb_hashtags : 3 time to prepare the origin masks : 4.596576690673828 time for calcul the mask position with numpy : 0.21453452110290527 nb_pixel_total : 4832894 time to create 1 rle with new method : 0.33752012252807617 time for calcul the mask position with numpy : 0.030573606491088867 nb_pixel_total : 18704 time to create 1 rle with old method : 0.023134469985961914 time for calcul the mask position with numpy : 0.04111361503601074 nb_pixel_total : 586781 time to create 1 rle with new method : 0.3362538814544678 time for calcul the mask position with numpy : 0.03171491622924805 nb_pixel_total : 121423 time to create 1 rle with old method : 0.13741374015808105 time for calcul the mask position with numpy : 0.0317387580871582 nb_pixel_total : 188855 time to create 1 rle with new method : 0.2994353771209717 time for calcul the mask position with numpy : 0.029391050338745117 nb_pixel_total : 48549 time to create 1 rle with old method : 0.05615711212158203 time for calcul the mask position with numpy : 0.029095888137817383 nb_pixel_total : 15484 time to create 1 rle with old method : 0.0173187255859375 time for calcul the mask position with numpy : 0.02958059310913086 nb_pixel_total : 94615 time to create 1 rle with old method : 0.11182188987731934 time for calcul the mask position with numpy : 0.03328895568847656 nb_pixel_total : 25745 time to create 1 rle with old method : 0.04171109199523926 time for calcul the mask position with numpy : 0.02898693084716797 nb_pixel_total : 22656 time to create 1 rle with old method : 0.024897336959838867 time for calcul the mask position with numpy : 0.027942180633544922 nb_pixel_total : 20227 time to create 1 rle with old method : 0.021725177764892578 time for calcul the mask position with numpy : 0.028187036514282227 nb_pixel_total : 21705 time to create 1 rle with old method : 0.024114131927490234 time for calcul the mask position with numpy : 0.029756784439086914 nb_pixel_total : 182614 time to create 1 rle with new method : 0.32601380348205566 time for calcul the mask position with numpy : 0.031319379806518555 nb_pixel_total : 10469 time to create 1 rle with old method : 0.01178288459777832 time for calcul the mask position with numpy : 0.030987262725830078 nb_pixel_total : 145674 time to create 1 rle with old method : 0.17046785354614258 time for calcul the mask position with numpy : 0.034290313720703125 nb_pixel_total : 78062 time to create 1 rle with old method : 0.09442377090454102 time for calcul the mask position with numpy : 0.03041243553161621 nb_pixel_total : 64547 time to create 1 rle with old method : 0.07341313362121582 time for calcul the mask position with numpy : 0.031184673309326172 nb_pixel_total : 39679 time to create 1 rle with old method : 0.04536318778991699 time for calcul the mask position with numpy : 0.030672311782836914 nb_pixel_total : 23287 time to create 1 rle with old method : 0.026039600372314453 time for calcul the mask position with numpy : 0.030959367752075195 nb_pixel_total : 74377 time to create 1 rle with old method : 0.10487508773803711 time for calcul the mask position with numpy : 0.03519868850708008 nb_pixel_total : 18340 time to create 1 rle with old method : 0.020552873611450195 time for calcul the mask position with numpy : 0.02989363670349121 nb_pixel_total : 46185 time to create 1 rle with old method : 0.05140876770019531 time for calcul the mask position with numpy : 0.028975725173950195 nb_pixel_total : 571 time to create 1 rle with old method : 0.0007519721984863281 time for calcul the mask position with numpy : 0.029908418655395508 nb_pixel_total : 39798 time to create 1 rle with old method : 0.04411125183105469 time for calcul the mask position with numpy : 0.029062509536743164 nb_pixel_total : 15500 time to create 1 rle with old method : 0.01748967170715332 time for calcul the mask position with numpy : 0.03159213066101074 nb_pixel_total : 13508 time to create 1 rle with old method : 0.022667407989501953 time for calcul the mask position with numpy : 0.033627986907958984 nb_pixel_total : 88308 time to create 1 rle with old method : 0.09956979751586914 time for calcul the mask position with numpy : 0.029558181762695312 nb_pixel_total : 81150 time to create 1 rle with old method : 0.09328174591064453 time for calcul the mask position with numpy : 0.029476404190063477 nb_pixel_total : 78354 time to create 1 rle with old method : 0.08620667457580566 time for calcul the mask position with numpy : 0.02928757667541504 nb_pixel_total : 608 time to create 1 rle with old method : 0.0009927749633789062 time for calcul the mask position with numpy : 0.030016660690307617 nb_pixel_total : 51571 time to create 1 rle with old method : 0.057563066482543945 create new chi : 4.024213790893555 time to delete rle : 0.01806163787841797 batch 1 Loaded 61 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 21532 TO DO : save crop sub photo not yet done ! save time : 1.5955991744995117 nb_obj : 33 nb_hashtags : 4 time to prepare the origin masks : 4.634465456008911 time for calcul the mask position with numpy : 0.30535078048706055 nb_pixel_total : 4890709 time to create 1 rle with new method : 0.4775965213775635 time for calcul the mask position with numpy : 0.03434038162231445 nb_pixel_total : 249205 time to create 1 rle with new method : 0.48128700256347656 time for calcul the mask position with numpy : 0.030152559280395508 nb_pixel_total : 84527 time to create 1 rle with old method : 0.11487507820129395 time for calcul the mask position with numpy : 0.03249192237854004 nb_pixel_total : 65188 time to create 1 rle with old method : 0.07068061828613281 time for calcul the mask position with numpy : 0.028616905212402344 nb_pixel_total : 80305 time to create 1 rle with old method : 0.0876455307006836 time for calcul the mask position with numpy : 0.0294339656829834 nb_pixel_total : 35485 time to create 1 rle with old method : 0.03958940505981445 time for calcul the mask position with numpy : 0.02887272834777832 nb_pixel_total : 53665 time to create 1 rle with old method : 0.05953264236450195 time for calcul the mask position with numpy : 0.028432846069335938 nb_pixel_total : 72597 time to create 1 rle with old method : 0.07889819145202637 time for calcul the mask position with numpy : 0.02845001220703125 nb_pixel_total : 26910 time to create 1 rle with old method : 0.029076099395751953 time for calcul the mask position with numpy : 0.028197288513183594 nb_pixel_total : 59940 time to create 1 rle with old method : 0.06519103050231934 time for calcul the mask position with numpy : 0.028348445892333984 nb_pixel_total : 93320 time to create 1 rle with old method : 0.10341358184814453 time for calcul the mask position with numpy : 0.028943538665771484 nb_pixel_total : 6531 time to create 1 rle with old method : 0.007218360900878906 time for calcul the mask position with numpy : 0.028879404067993164 nb_pixel_total : 2774 time to create 1 rle with old method : 0.0031321048736572266 time for calcul the mask position with numpy : 0.029302597045898438 nb_pixel_total : 155584 time to create 1 rle with new method : 0.4027431011199951 time for calcul the mask position with numpy : 0.02988910675048828 nb_pixel_total : 235327 time to create 1 rle with new method : 0.3134336471557617 time for calcul the mask position with numpy : 0.030295848846435547 nb_pixel_total : 77 time to create 1 rle with old method : 0.0001347064971923828 time for calcul the mask position with numpy : 0.029082536697387695 nb_pixel_total : 33113 time to create 1 rle with old method : 0.03674721717834473 time for calcul the mask position with numpy : 0.02914738655090332 nb_pixel_total : 37035 time to create 1 rle with old method : 0.041164398193359375 time for calcul the mask position with numpy : 0.029394149780273438 nb_pixel_total : 87869 time to create 1 rle with old method : 0.09942865371704102 time for calcul the mask position with numpy : 0.02837228775024414 nb_pixel_total : 50760 time to create 1 rle with old method : 0.055795907974243164 time for calcul the mask position with numpy : 0.02886962890625 nb_pixel_total : 7086 time to create 1 rle with old method : 0.008027315139770508 time for calcul the mask position with numpy : 0.02812933921813965 nb_pixel_total : 48656 time to create 1 rle with old method : 0.05251765251159668 time for calcul the mask position with numpy : 0.02795267105102539 nb_pixel_total : 23980 time to create 1 rle with old method : 0.026304006576538086 time for calcul the mask position with numpy : 0.0303041934967041 nb_pixel_total : 282156 time to create 1 rle with new method : 0.31239986419677734 time for calcul the mask position with numpy : 0.02936100959777832 nb_pixel_total : 34953 time to create 1 rle with old method : 0.03917407989501953 time for calcul the mask position with numpy : 0.029265642166137695 nb_pixel_total : 26035 time to create 1 rle with old method : 0.029544830322265625 time for calcul the mask position with numpy : 0.029700756072998047 nb_pixel_total : 56954 time to create 1 rle with old method : 0.06349539756774902 time for calcul the mask position with numpy : 0.02962470054626465 nb_pixel_total : 89740 time to create 1 rle with old method : 0.0989525318145752 time for calcul the mask position with numpy : 0.02951335906982422 nb_pixel_total : 78403 time to create 1 rle with old method : 0.0872035026550293 time for calcul the mask position with numpy : 0.029496431350708008 nb_pixel_total : 39694 time to create 1 rle with old method : 0.04427313804626465 time for calcul the mask position with numpy : 0.02935624122619629 nb_pixel_total : 10861 time to create 1 rle with old method : 0.012366533279418945 time for calcul the mask position with numpy : 0.029505252838134766 nb_pixel_total : 14006 time to create 1 rle with old method : 0.01575613021850586 time for calcul the mask position with numpy : 0.030521631240844727 nb_pixel_total : 6496 time to create 1 rle with old method : 0.008069515228271484 time for calcul the mask position with numpy : 0.02934861183166504 nb_pixel_total : 10299 time to create 1 rle with old method : 0.011385679244995117 create new chi : 4.783560752868652 time to delete rle : 0.005263805389404297 batch 1 Loaded 67 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 21343 TO DO : save crop sub photo not yet done ! save time : 1.6573011875152588 nb_obj : 38 nb_hashtags : 4 time to prepare the origin masks : 4.335129737854004 time for calcul the mask position with numpy : 0.5814979076385498 nb_pixel_total : 5369359 time to create 1 rle with new method : 0.6702971458435059 time for calcul the mask position with numpy : 0.0281527042388916 nb_pixel_total : 73727 time to create 1 rle with old method : 0.07848095893859863 time for calcul the mask position with numpy : 0.027415037155151367 nb_pixel_total : 18163 time to create 1 rle with old method : 0.019254684448242188 time for calcul the mask position with numpy : 0.027076244354248047 nb_pixel_total : 8642 time to create 1 rle with old method : 0.008972883224487305 time for calcul the mask position with numpy : 0.026909828186035156 nb_pixel_total : 23668 time to create 1 rle with old method : 0.02451300621032715 time for calcul the mask position with numpy : 0.026841402053833008 nb_pixel_total : 6456 time to create 1 rle with old method : 0.0069310665130615234 time for calcul the mask position with numpy : 0.0275571346282959 nb_pixel_total : 100899 time to create 1 rle with old method : 0.11611366271972656 time for calcul the mask position with numpy : 0.0362088680267334 nb_pixel_total : 197934 time to create 1 rle with new method : 0.4001739025115967 time for calcul the mask position with numpy : 0.029717445373535156 nb_pixel_total : 40812 time to create 1 rle with old method : 0.0459749698638916 time for calcul the mask position with numpy : 0.029054880142211914 nb_pixel_total : 70019 time to create 1 rle with old method : 0.0807044506072998 time for calcul the mask position with numpy : 0.02838754653930664 nb_pixel_total : 12642 time to create 1 rle with old method : 0.014389753341674805 time for calcul the mask position with numpy : 0.028997421264648438 nb_pixel_total : 62250 time to create 1 rle with old method : 0.07346487045288086 time for calcul the mask position with numpy : 0.028393268585205078 nb_pixel_total : 44981 time to create 1 rle with old method : 0.04728507995605469 time for calcul the mask position with numpy : 0.02817559242248535 nb_pixel_total : 16048 time to create 1 rle with old method : 0.017253398895263672 time for calcul the mask position with numpy : 0.027508974075317383 nb_pixel_total : 28278 time to create 1 rle with old method : 0.029720067977905273 time for calcul the mask position with numpy : 0.026769638061523438 nb_pixel_total : 13745 time to create 1 rle with old method : 0.014524221420288086 time for calcul the mask position with numpy : 0.0310821533203125 nb_pixel_total : 88231 time to create 1 rle with old method : 0.09430146217346191 time for calcul the mask position with numpy : 0.029100656509399414 nb_pixel_total : 8603 time to create 1 rle with old method : 0.014351844787597656 time for calcul the mask position with numpy : 0.03423905372619629 nb_pixel_total : 151929 time to create 1 rle with new method : 0.3974182605743408 time for calcul the mask position with numpy : 0.031104564666748047 nb_pixel_total : 45620 time to create 1 rle with old method : 0.052855491638183594 time for calcul the mask position with numpy : 0.029882192611694336 nb_pixel_total : 7966 time to create 1 rle with old method : 0.009012222290039062 time for calcul the mask position with numpy : 0.03024435043334961 nb_pixel_total : 30747 time to create 1 rle with old method : 0.03629636764526367 time for calcul the mask position with numpy : 0.029888391494750977 nb_pixel_total : 18052 time to create 1 rle with old method : 0.020258188247680664 time for calcul the mask position with numpy : 0.029644012451171875 nb_pixel_total : 18186 time to create 1 rle with old method : 0.020699262619018555 time for calcul the mask position with numpy : 0.030272483825683594 nb_pixel_total : 19468 time to create 1 rle with old method : 0.02186417579650879 time for calcul the mask position with numpy : 0.03062915802001953 nb_pixel_total : 167421 time to create 1 rle with new method : 0.5586647987365723 time for calcul the mask position with numpy : 0.029487133026123047 nb_pixel_total : 19368 time to create 1 rle with old method : 0.023114919662475586 time for calcul the mask position with numpy : 0.030061721801757812 nb_pixel_total : 109477 time to create 1 rle with old method : 0.12185907363891602 time for calcul the mask position with numpy : 0.027631044387817383 nb_pixel_total : 9926 time to create 1 rle with old method : 0.010190486907958984 time for calcul the mask position with numpy : 0.02895379066467285 nb_pixel_total : 54480 time to create 1 rle with old method : 0.060510873794555664 time for calcul the mask position with numpy : 0.027550697326660156 nb_pixel_total : 139 time to create 1 rle with old method : 0.0002551078796386719 time for calcul the mask position with numpy : 0.028001785278320312 nb_pixel_total : 14724 time to create 1 rle with old method : 0.01626110076904297 time for calcul the mask position with numpy : 0.02890753746032715 nb_pixel_total : 26635 time to create 1 rle with old method : 0.029829025268554688 time for calcul the mask position with numpy : 0.030490636825561523 nb_pixel_total : 33747 time to create 1 rle with old method : 0.03730058670043945 time for calcul the mask position with numpy : 0.029351472854614258 nb_pixel_total : 17234 time to create 1 rle with old method : 0.019225358963012695 time for calcul the mask position with numpy : 0.029054641723632812 nb_pixel_total : 7933 time to create 1 rle with old method : 0.009566783905029297 time for calcul the mask position with numpy : 0.03128528594970703 nb_pixel_total : 4541 time to create 1 rle with old method : 0.0051381587982177734 time for calcul the mask position with numpy : 0.02897930145263672 nb_pixel_total : 11138 time to create 1 rle with old method : 0.012412548065185547 time for calcul the mask position with numpy : 0.028537988662719727 nb_pixel_total : 97052 time to create 1 rle with old method : 0.10587573051452637 create new chi : 5.130610704421997 time to delete rle : 0.00498509407043457 batch 1 Loaded 77 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 21023 TO DO : save crop sub photo not yet done ! save time : 1.667142629623413 nb_obj : 3 nb_hashtags : 2 time to prepare the origin masks : 1.67897629737854 time for calcul the mask position with numpy : 0.6523168087005615 nb_pixel_total : 6771873 time to create 1 rle with new method : 0.6515870094299316 time for calcul the mask position with numpy : 0.02453303337097168 nb_pixel_total : 182367 time to create 1 rle with new method : 0.38109683990478516 time for calcul the mask position with numpy : 0.022678136825561523 nb_pixel_total : 34697 time to create 1 rle with old method : 0.03864717483520508 time for calcul the mask position with numpy : 0.023312807083129883 nb_pixel_total : 61303 time to create 1 rle with old method : 0.0684502124786377 create new chi : 1.9249894618988037 time to delete rle : 0.0007600784301757812 batch 1 Loaded 7 chid ids of type : 3594 +++++Number RLEs to save : 5260 TO DO : save crop sub photo not yet done ! save time : 0.4770958423614502 nb_obj : 17 nb_hashtags : 3 time to prepare the origin masks : 7.730777740478516 time for calcul the mask position with numpy : 0.4233260154724121 nb_pixel_total : 6547599 time to create 1 rle with new method : 0.7804338932037354 time for calcul the mask position with numpy : 0.02625894546508789 nb_pixel_total : 26755 time to create 1 rle with old method : 0.02939891815185547 time for calcul the mask position with numpy : 0.02414560317993164 nb_pixel_total : 31548 time to create 1 rle with old method : 0.03450465202331543 time for calcul the mask position with numpy : 0.02265787124633789 nb_pixel_total : 6561 time to create 1 rle with old method : 0.007189750671386719 time for calcul the mask position with numpy : 0.024123668670654297 nb_pixel_total : 172175 time to create 1 rle with new method : 0.5240216255187988 time for calcul the mask position with numpy : 0.02378678321838379 nb_pixel_total : 30601 time to create 1 rle with old method : 0.03245854377746582 time for calcul the mask position with numpy : 0.022263765335083008 nb_pixel_total : 16247 time to create 1 rle with old method : 0.018022537231445312 time for calcul the mask position with numpy : 0.02258133888244629 nb_pixel_total : 22931 time to create 1 rle with old method : 0.02573990821838379 time for calcul the mask position with numpy : 0.02535724639892578 nb_pixel_total : 6530 time to create 1 rle with old method : 0.007109880447387695 time for calcul the mask position with numpy : 0.0234224796295166 nb_pixel_total : 17915 time to create 1 rle with old method : 0.029474735260009766 time for calcul the mask position with numpy : 0.022467374801635742 nb_pixel_total : 23747 time to create 1 rle with old method : 0.027691364288330078 time for calcul the mask position with numpy : 0.023953676223754883 nb_pixel_total : 13310 time to create 1 rle with old method : 0.01440572738647461 time for calcul the mask position with numpy : 0.02254343032836914 nb_pixel_total : 17256 time to create 1 rle with old method : 0.01843881607055664 time for calcul the mask position with numpy : 0.021240234375 nb_pixel_total : 14434 time to create 1 rle with old method : 0.015645980834960938 time for calcul the mask position with numpy : 0.0212862491607666 nb_pixel_total : 40352 time to create 1 rle with old method : 0.042874813079833984 time for calcul the mask position with numpy : 0.02111530303955078 nb_pixel_total : 3288 time to create 1 rle with old method : 0.0036389827728271484 time for calcul the mask position with numpy : 0.020837068557739258 nb_pixel_total : 25606 time to create 1 rle with old method : 0.027629375457763672 time for calcul the mask position with numpy : 0.03319525718688965 nb_pixel_total : 33385 time to create 1 rle with old method : 0.03637409210205078 create new chi : 2.5610592365264893 time to delete rle : 0.0012819766998291016 batch 1 Loaded 35 chid ids of type : 3594 +++++++++++++++++++++Number RLEs to save : 8696 TO DO : save crop sub photo not yet done ! save time : 1.0021023750305176 nb_obj : 71 nb_hashtags : 4 time to prepare the origin masks : 4.409973621368408 time for calcul the mask position with numpy : 0.3762660026550293 nb_pixel_total : 5272550 time to create 1 rle with new method : 0.6956403255462646 time for calcul the mask position with numpy : 0.028885364532470703 nb_pixel_total : 4004 time to create 1 rle with old method : 0.0045130252838134766 time for calcul the mask position with numpy : 0.028742074966430664 nb_pixel_total : 8051 time to create 1 rle with old method : 0.00899815559387207 time for calcul the mask position with numpy : 0.02874922752380371 nb_pixel_total : 12052 time to create 1 rle with old method : 0.013561010360717773 time for calcul the mask position with numpy : 0.028667211532592773 nb_pixel_total : 11281 time to create 1 rle with old method : 0.012613296508789062 time for calcul the mask position with numpy : 0.02866673469543457 nb_pixel_total : 6244 time to create 1 rle with old method : 0.0070645809173583984 time for calcul the mask position with numpy : 0.028827905654907227 nb_pixel_total : 27810 time to create 1 rle with old method : 0.032447099685668945 time for calcul the mask position with numpy : 0.028762102127075195 nb_pixel_total : 3573 time to create 1 rle with old method : 0.00404667854309082 time for calcul the mask position with numpy : 0.02909231185913086 nb_pixel_total : 15873 time to create 1 rle with old method : 0.01777935028076172 time for calcul the mask position with numpy : 0.029305458068847656 nb_pixel_total : 11335 time to create 1 rle with old method : 0.013010978698730469 time for calcul the mask position with numpy : 0.03321957588195801 nb_pixel_total : 24996 time to create 1 rle with old method : 0.03028273582458496 time for calcul the mask position with numpy : 0.029221296310424805 nb_pixel_total : 14687 time to create 1 rle with old method : 0.016402721405029297 time for calcul the mask position with numpy : 0.02913355827331543 nb_pixel_total : 9825 time to create 1 rle with old method : 0.01108694076538086 time for calcul the mask position with numpy : 0.02914261817932129 nb_pixel_total : 21984 time to create 1 rle with old method : 0.024675846099853516 time for calcul the mask position with numpy : 0.029523372650146484 nb_pixel_total : 56926 time to create 1 rle with old method : 0.06322050094604492 time for calcul the mask position with numpy : 0.029126405715942383 nb_pixel_total : 15622 time to create 1 rle with old method : 0.01753091812133789 time for calcul the mask position with numpy : 0.02920985221862793 nb_pixel_total : 17335 time to create 1 rle with old method : 0.01937556266784668 time for calcul the mask position with numpy : 0.029260635375976562 nb_pixel_total : 30741 time to create 1 rle with old method : 0.03429126739501953 time for calcul the mask position with numpy : 0.030385732650756836 nb_pixel_total : 62584 time to create 1 rle with old method : 0.09021329879760742 time for calcul the mask position with numpy : 0.029305219650268555 nb_pixel_total : 26041 time to create 1 rle with old method : 0.029041051864624023 time for calcul the mask position with numpy : 0.029021739959716797 nb_pixel_total : 24939 time to create 1 rle with old method : 0.027637720108032227 time for calcul the mask position with numpy : 0.0289154052734375 nb_pixel_total : 19590 time to create 1 rle with old method : 0.021956682205200195 time for calcul the mask position with numpy : 0.029137849807739258 nb_pixel_total : 11404 time to create 1 rle with old method : 0.012744665145874023 time for calcul the mask position with numpy : 0.028965234756469727 nb_pixel_total : 10440 time to create 1 rle with old method : 0.011673688888549805 time for calcul the mask position with numpy : 0.02878880500793457 nb_pixel_total : 7782 time to create 1 rle with old method : 0.008686304092407227 time for calcul the mask position with numpy : 0.028638839721679688 nb_pixel_total : 7863 time to create 1 rle with old method : 0.008807659149169922 time for calcul the mask position with numpy : 0.028483152389526367 nb_pixel_total : 27722 time to create 1 rle with old method : 0.030780553817749023 time for calcul the mask position with numpy : 0.02855539321899414 nb_pixel_total : 19156 time to create 1 rle with old method : 0.02114391326904297 time for calcul the mask position with numpy : 0.028745412826538086 nb_pixel_total : 14065 time to create 1 rle with old method : 0.015481233596801758 time for calcul the mask position with numpy : 0.028669357299804688 nb_pixel_total : 13138 time to create 1 rle with old method : 0.014675378799438477 time for calcul the mask position with numpy : 0.028316497802734375 nb_pixel_total : 11783 time to create 1 rle with old method : 0.013215303421020508 time for calcul the mask position with numpy : 0.02855825424194336 nb_pixel_total : 10343 time to create 1 rle with old method : 0.011562824249267578 time for calcul the mask position with numpy : 0.028564453125 nb_pixel_total : 28439 time to create 1 rle with old method : 0.03299689292907715 time for calcul the mask position with numpy : 0.03002619743347168 nb_pixel_total : 33860 time to create 1 rle with old method : 0.037656307220458984 time for calcul the mask position with numpy : 0.030636072158813477 nb_pixel_total : 249771 time to create 1 rle with new method : 0.5082082748413086 time for calcul the mask position with numpy : 0.02842235565185547 nb_pixel_total : 42668 time to create 1 rle with old method : 0.04607868194580078 time for calcul the mask position with numpy : 0.033089399337768555 nb_pixel_total : 36452 time to create 1 rle with old method : 0.05794572830200195 time for calcul the mask position with numpy : 0.029263973236083984 nb_pixel_total : 8545 time to create 1 rle with old method : 0.00972890853881836 time for calcul the mask position with numpy : 0.029189586639404297 nb_pixel_total : 40183 time to create 1 rle with old method : 0.04404091835021973 time for calcul the mask position with numpy : 0.028371334075927734 nb_pixel_total : 15049 time to create 1 rle with old method : 0.016767501831054688 time for calcul the mask position with numpy : 0.02906942367553711 nb_pixel_total : 29811 time to create 1 rle with old method : 0.03340888023376465 time for calcul the mask position with numpy : 0.02902054786682129 nb_pixel_total : 21554 time to create 1 rle with old method : 0.024118661880493164 time for calcul the mask position with numpy : 0.02896714210510254 nb_pixel_total : 3271 time to create 1 rle with old method : 0.0037615299224853516 time for calcul the mask position with numpy : 0.03216958045959473 nb_pixel_total : 90975 time to create 1 rle with old method : 0.12400460243225098 time for calcul the mask position with numpy : 0.028771162033081055 nb_pixel_total : 15537 time to create 1 rle with old method : 0.017291784286499023 time for calcul the mask position with numpy : 0.028927087783813477 nb_pixel_total : 24989 time to create 1 rle with old method : 0.028125762939453125 time for calcul the mask position with numpy : 0.028905868530273438 nb_pixel_total : 11684 time to create 1 rle with old method : 0.014080047607421875 time for calcul the mask position with numpy : 0.02900099754333496 nb_pixel_total : 26629 time to create 1 rle with old method : 0.030313968658447266 time for calcul the mask position with numpy : 0.02842235565185547 nb_pixel_total : 64049 time to create 1 rle with old method : 0.07040929794311523 time for calcul the mask position with numpy : 0.02872300148010254 nb_pixel_total : 10881 time to create 1 rle with old method : 0.012928962707519531 time for calcul the mask position with numpy : 0.029395580291748047 nb_pixel_total : 50204 time to create 1 rle with old method : 0.0557398796081543 time for calcul the mask position with numpy : 0.02825021743774414 nb_pixel_total : 7784 time to create 1 rle with old method : 0.008605480194091797 time for calcul the mask position with numpy : 0.0282437801361084 nb_pixel_total : 4529 time to create 1 rle with old method : 0.00576019287109375 time for calcul the mask position with numpy : 0.028387069702148438 nb_pixel_total : 11475 time to create 1 rle with old method : 0.01293635368347168 time for calcul the mask position with numpy : 0.029345035552978516 nb_pixel_total : 72905 time to create 1 rle with old method : 0.09435486793518066 time for calcul the mask position with numpy : 0.03280758857727051 nb_pixel_total : 16022 time to create 1 rle with old method : 0.0206911563873291 time for calcul the mask position with numpy : 0.027997493743896484 nb_pixel_total : 41236 time to create 1 rle with old method : 0.0454254150390625 time for calcul the mask position with numpy : 0.02854323387145996 nb_pixel_total : 7237 time to create 1 rle with old method : 0.008042335510253906 time for calcul the mask position with numpy : 0.028772592544555664 nb_pixel_total : 4547 time to create 1 rle with old method : 0.0051021575927734375 time for calcul the mask position with numpy : 0.0290679931640625 nb_pixel_total : 80499 time to create 1 rle with old method : 0.08931350708007812 time for calcul the mask position with numpy : 0.029120922088623047 nb_pixel_total : 3823 time to create 1 rle with old method : 0.004249095916748047 time for calcul the mask position with numpy : 0.028472900390625 nb_pixel_total : 5401 time to create 1 rle with old method : 0.0059587955474853516 time for calcul the mask position with numpy : 0.028385639190673828 nb_pixel_total : 5251 time to create 1 rle with old method : 0.005815267562866211 time for calcul the mask position with numpy : 0.027952194213867188 nb_pixel_total : 3773 time to create 1 rle with old method : 0.004165172576904297 time for calcul the mask position with numpy : 0.028429508209228516 nb_pixel_total : 15412 time to create 1 rle with old method : 0.01686549186706543 time for calcul the mask position with numpy : 0.027832984924316406 nb_pixel_total : 6592 time to create 1 rle with old method : 0.00722193717956543 time for calcul the mask position with numpy : 0.028328657150268555 nb_pixel_total : 14265 time to create 1 rle with old method : 0.015940427780151367 time for calcul the mask position with numpy : 0.02832794189453125 nb_pixel_total : 5479 time to create 1 rle with old method : 0.006211280822753906 time for calcul the mask position with numpy : 0.028894901275634766 nb_pixel_total : 68278 time to create 1 rle with old method : 0.07688736915588379 time for calcul the mask position with numpy : 0.029053449630737305 nb_pixel_total : 17207 time to create 1 rle with old method : 0.020786285400390625 time for calcul the mask position with numpy : 0.02899003028869629 nb_pixel_total : 3785 time to create 1 rle with old method : 0.00429224967956543 time for calcul the mask position with numpy : 0.02905726432800293 nb_pixel_total : 18450 time to create 1 rle with old method : 0.02095198631286621 create new chi : 5.496354579925537 time to delete rle : 0.00576329231262207 batch 1 Loaded 144 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 30911 TO DO : save crop sub photo not yet done ! save time : 3.1503500938415527 nb_obj : 16 nb_hashtags : 5 time to prepare the origin masks : 6.435819387435913 time for calcul the mask position with numpy : 0.48912811279296875 nb_pixel_total : 5875562 time to create 1 rle with new method : 0.5457782745361328 time for calcul the mask position with numpy : 0.039537668228149414 nb_pixel_total : 200068 time to create 1 rle with new method : 0.6067721843719482 time for calcul the mask position with numpy : 0.022280454635620117 nb_pixel_total : 8879 time to create 1 rle with old method : 0.009836912155151367 time for calcul the mask position with numpy : 0.021750926971435547 nb_pixel_total : 26429 time to create 1 rle with old method : 0.0293123722076416 time for calcul the mask position with numpy : 0.023848295211791992 nb_pixel_total : 10512 time to create 1 rle with old method : 0.017272472381591797 time for calcul the mask position with numpy : 0.026543617248535156 nb_pixel_total : 230954 time to create 1 rle with new method : 0.4886972904205322 time for calcul the mask position with numpy : 0.023024559020996094 nb_pixel_total : 26593 time to create 1 rle with old method : 0.03002309799194336 time for calcul the mask position with numpy : 0.02436661720275879 nb_pixel_total : 79364 time to create 1 rle with old method : 0.08794379234313965 time for calcul the mask position with numpy : 0.02251577377319336 nb_pixel_total : 200800 time to create 1 rle with new method : 0.6148428916931152 time for calcul the mask position with numpy : 0.02077460289001465 nb_pixel_total : 23756 time to create 1 rle with old method : 0.026700496673583984 time for calcul the mask position with numpy : 0.02482295036315918 nb_pixel_total : 133523 time to create 1 rle with old method : 0.17554521560668945 time for calcul the mask position with numpy : 0.0215606689453125 nb_pixel_total : 14309 time to create 1 rle with old method : 0.015865087509155273 time for calcul the mask position with numpy : 0.022990703582763672 nb_pixel_total : 30592 time to create 1 rle with old method : 0.0344691276550293 time for calcul the mask position with numpy : 0.02282094955444336 nb_pixel_total : 26109 time to create 1 rle with old method : 0.02892160415649414 time for calcul the mask position with numpy : 0.023661136627197266 nb_pixel_total : 70088 time to create 1 rle with old method : 0.08073711395263672 time for calcul the mask position with numpy : 0.02268385887145996 nb_pixel_total : 16233 time to create 1 rle with old method : 0.020108938217163086 time for calcul the mask position with numpy : 0.02655506134033203 nb_pixel_total : 76469 time to create 1 rle with old method : 0.08554339408874512 create new chi : 3.893266201019287 time to delete rle : 0.002486705780029297 batch 1 Loaded 33 chid ids of type : 3594 ++++++++++++++++++++Number RLEs to save : 12365 TO DO : save crop sub photo not yet done ! save time : 0.7508368492126465 nb_obj : 32 nb_hashtags : 3 time to prepare the origin masks : 4.516857862472534 time for calcul the mask position with numpy : 0.7843225002288818 nb_pixel_total : 5563859 time to create 1 rle with new method : 0.3918614387512207 time for calcul the mask position with numpy : 0.029287338256835938 nb_pixel_total : 139160 time to create 1 rle with old method : 0.15439558029174805 time for calcul the mask position with numpy : 0.030281782150268555 nb_pixel_total : 378573 time to create 1 rle with new method : 0.8426740169525146 time for calcul the mask position with numpy : 0.027205228805541992 nb_pixel_total : 5439 time to create 1 rle with old method : 0.005778312683105469 time for calcul the mask position with numpy : 0.02757430076599121 nb_pixel_total : 19396 time to create 1 rle with old method : 0.02102208137512207 time for calcul the mask position with numpy : 0.027538061141967773 nb_pixel_total : 10796 time to create 1 rle with old method : 0.011713504791259766 time for calcul the mask position with numpy : 0.02825331687927246 nb_pixel_total : 66893 time to create 1 rle with old method : 0.07135200500488281 time for calcul the mask position with numpy : 0.026339054107666016 nb_pixel_total : 52514 time to create 1 rle with old method : 0.05760002136230469 time for calcul the mask position with numpy : 0.026295900344848633 nb_pixel_total : 16444 time to create 1 rle with old method : 0.017358779907226562 time for calcul the mask position with numpy : 0.028250932693481445 nb_pixel_total : 115106 time to create 1 rle with old method : 0.12135577201843262 time for calcul the mask position with numpy : 0.026464462280273438 nb_pixel_total : 120101 time to create 1 rle with old method : 0.12282681465148926 time for calcul the mask position with numpy : 0.026562929153442383 nb_pixel_total : 10535 time to create 1 rle with old method : 0.010878324508666992 time for calcul the mask position with numpy : 0.026360273361206055 nb_pixel_total : 29906 time to create 1 rle with old method : 0.031708717346191406 time for calcul the mask position with numpy : 0.02618551254272461 nb_pixel_total : 17494 time to create 1 rle with old method : 0.01803421974182129 time for calcul the mask position with numpy : 0.02622365951538086 nb_pixel_total : 33336 time to create 1 rle with old method : 0.03456830978393555 time for calcul the mask position with numpy : 0.026376962661743164 nb_pixel_total : 8913 time to create 1 rle with old method : 0.009243488311767578 time for calcul the mask position with numpy : 0.026691436767578125 nb_pixel_total : 22425 time to create 1 rle with old method : 0.022938251495361328 time for calcul the mask position with numpy : 0.026267290115356445 nb_pixel_total : 73981 time to create 1 rle with old method : 0.07622528076171875 time for calcul the mask position with numpy : 0.0264890193939209 nb_pixel_total : 13094 time to create 1 rle with old method : 0.013585090637207031 time for calcul the mask position with numpy : 0.026024818420410156 nb_pixel_total : 5105 time to create 1 rle with old method : 0.005555868148803711 time for calcul the mask position with numpy : 0.027204275131225586 nb_pixel_total : 74577 time to create 1 rle with old method : 0.07673335075378418 time for calcul the mask position with numpy : 0.02667236328125 nb_pixel_total : 32698 time to create 1 rle with old method : 0.033936262130737305 time for calcul the mask position with numpy : 0.02619147300720215 nb_pixel_total : 4752 time to create 1 rle with old method : 0.005084037780761719 time for calcul the mask position with numpy : 0.026022911071777344 nb_pixel_total : 8822 time to create 1 rle with old method : 0.009188413619995117 time for calcul the mask position with numpy : 0.026020526885986328 nb_pixel_total : 2199 time to create 1 rle with old method : 0.0024302005767822266 time for calcul the mask position with numpy : 0.026822328567504883 nb_pixel_total : 46419 time to create 1 rle with old method : 0.04895591735839844 time for calcul the mask position with numpy : 0.02699446678161621 nb_pixel_total : 1375 time to create 1 rle with old method : 0.0015482902526855469 time for calcul the mask position with numpy : 0.027448415756225586 nb_pixel_total : 11798 time to create 1 rle with old method : 0.012844324111938477 time for calcul the mask position with numpy : 0.028251171112060547 nb_pixel_total : 14002 time to create 1 rle with old method : 0.015229940414428711 time for calcul the mask position with numpy : 0.027660846710205078 nb_pixel_total : 28120 time to create 1 rle with old method : 0.030210256576538086 time for calcul the mask position with numpy : 0.027091503143310547 nb_pixel_total : 23615 time to create 1 rle with old method : 0.024793624877929688 time for calcul the mask position with numpy : 0.026535511016845703 nb_pixel_total : 89396 time to create 1 rle with old method : 0.09027624130249023 time for calcul the mask position with numpy : 0.026133060455322266 nb_pixel_total : 9397 time to create 1 rle with old method : 0.009559392929077148 create new chi : 4.1143434047698975 time to delete rle : 0.00244903564453125 batch 1 Loaded 65 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++Number RLEs to save : 16071 TO DO : save crop sub photo not yet done ! save time : 2.9827640056610107 nb_obj : 31 nb_hashtags : 4 time to prepare the origin masks : 3.9608519077301025 time for calcul the mask position with numpy : 0.46173548698425293 nb_pixel_total : 5454347 time to create 1 rle with new method : 0.5057237148284912 time for calcul the mask position with numpy : 0.027711868286132812 nb_pixel_total : 11871 time to create 1 rle with old method : 0.012725353240966797 time for calcul the mask position with numpy : 0.0321500301361084 nb_pixel_total : 10638 time to create 1 rle with old method : 0.011999845504760742 time for calcul the mask position with numpy : 0.029067039489746094 nb_pixel_total : 17203 time to create 1 rle with old method : 0.019504547119140625 time for calcul the mask position with numpy : 0.028720617294311523 nb_pixel_total : 25156 time to create 1 rle with old method : 0.0267179012298584 time for calcul the mask position with numpy : 0.027791976928710938 nb_pixel_total : 36679 time to create 1 rle with old method : 0.039466142654418945 time for calcul the mask position with numpy : 0.03394818305969238 nb_pixel_total : 92381 time to create 1 rle with old method : 0.1177666187286377 time for calcul the mask position with numpy : 0.027747631072998047 nb_pixel_total : 91037 time to create 1 rle with old method : 0.09626078605651855 time for calcul the mask position with numpy : 0.027285337448120117 nb_pixel_total : 6941 time to create 1 rle with old method : 0.007441520690917969 time for calcul the mask position with numpy : 0.029203414916992188 nb_pixel_total : 102688 time to create 1 rle with old method : 0.11289572715759277 time for calcul the mask position with numpy : 0.029036521911621094 nb_pixel_total : 12316 time to create 1 rle with old method : 0.013509035110473633 time for calcul the mask position with numpy : 0.028194427490234375 nb_pixel_total : 15537 time to create 1 rle with old method : 0.017130613327026367 time for calcul the mask position with numpy : 0.028020858764648438 nb_pixel_total : 11783 time to create 1 rle with old method : 0.012839317321777344 time for calcul the mask position with numpy : 0.02841782569885254 nb_pixel_total : 58627 time to create 1 rle with old method : 0.06792688369750977 time for calcul the mask position with numpy : 0.028844594955444336 nb_pixel_total : 48249 time to create 1 rle with old method : 0.054938554763793945 time for calcul the mask position with numpy : 0.02841949462890625 nb_pixel_total : 75569 time to create 1 rle with old method : 0.08330917358398438 time for calcul the mask position with numpy : 0.028546571731567383 nb_pixel_total : 52486 time to create 1 rle with old method : 0.05771470069885254 time for calcul the mask position with numpy : 0.02904224395751953 nb_pixel_total : 21229 time to create 1 rle with old method : 0.02362537384033203 time for calcul the mask position with numpy : 0.02869272232055664 nb_pixel_total : 7572 time to create 1 rle with old method : 0.008181333541870117 time for calcul the mask position with numpy : 0.028053998947143555 nb_pixel_total : 43083 time to create 1 rle with old method : 0.04526185989379883 time for calcul the mask position with numpy : 0.0277402400970459 nb_pixel_total : 110179 time to create 1 rle with old method : 0.11454129219055176 time for calcul the mask position with numpy : 0.027329206466674805 nb_pixel_total : 32189 time to create 1 rle with old method : 0.03400158882141113 time for calcul the mask position with numpy : 0.02866506576538086 nb_pixel_total : 282124 time to create 1 rle with new method : 0.6360483169555664 time for calcul the mask position with numpy : 0.027909278869628906 nb_pixel_total : 119566 time to create 1 rle with old method : 0.12320089340209961 time for calcul the mask position with numpy : 0.026644229888916016 nb_pixel_total : 30708 time to create 1 rle with old method : 0.03146553039550781 time for calcul the mask position with numpy : 0.031896352767944336 nb_pixel_total : 69316 time to create 1 rle with old method : 0.09142589569091797 time for calcul the mask position with numpy : 0.026365041732788086 nb_pixel_total : 29913 time to create 1 rle with old method : 0.030510425567626953 time for calcul the mask position with numpy : 0.02670884132385254 nb_pixel_total : 24305 time to create 1 rle with old method : 0.026014328002929688 time for calcul the mask position with numpy : 0.027415752410888672 nb_pixel_total : 19593 time to create 1 rle with old method : 0.020162343978881836 time for calcul the mask position with numpy : 0.02754807472229004 nb_pixel_total : 59543 time to create 1 rle with old method : 0.06399059295654297 time for calcul the mask position with numpy : 0.02830362319946289 nb_pixel_total : 69705 time to create 1 rle with old method : 0.07544517517089844 time for calcul the mask position with numpy : 0.02794480323791504 nb_pixel_total : 7707 time to create 1 rle with old method : 0.008234977722167969 create new chi : 3.9922094345092773 time to delete rle : 0.0025568008422851562 batch 1 Loaded 63 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 17703 TO DO : save crop sub photo not yet done ! save time : 1.1676480770111084 nb_obj : 40 nb_hashtags : 5 time to prepare the origin masks : 4.188710927963257 time for calcul the mask position with numpy : 0.49718594551086426 nb_pixel_total : 5330270 time to create 1 rle with new method : 0.7246344089508057 time for calcul the mask position with numpy : 0.028422832489013672 nb_pixel_total : 3338 time to create 1 rle with old method : 0.003634929656982422 time for calcul the mask position with numpy : 0.02804255485534668 nb_pixel_total : 15502 time to create 1 rle with old method : 0.0168304443359375 time for calcul the mask position with numpy : 0.027623414993286133 nb_pixel_total : 36962 time to create 1 rle with old method : 0.03997945785522461 time for calcul the mask position with numpy : 0.027614355087280273 nb_pixel_total : 11160 time to create 1 rle with old method : 0.012044191360473633 time for calcul the mask position with numpy : 0.028440475463867188 nb_pixel_total : 57030 time to create 1 rle with old method : 0.06345701217651367 time for calcul the mask position with numpy : 0.028815031051635742 nb_pixel_total : 27694 time to create 1 rle with old method : 0.030615806579589844 time for calcul the mask position with numpy : 0.028488874435424805 nb_pixel_total : 16940 time to create 1 rle with old method : 0.01875925064086914 time for calcul the mask position with numpy : 0.02894449234008789 nb_pixel_total : 257345 time to create 1 rle with new method : 0.7092816829681396 time for calcul the mask position with numpy : 0.029468536376953125 nb_pixel_total : 16214 time to create 1 rle with old method : 0.017625093460083008 time for calcul the mask position with numpy : 0.028861045837402344 nb_pixel_total : 34593 time to create 1 rle with old method : 0.03839516639709473 time for calcul the mask position with numpy : 0.02914118766784668 nb_pixel_total : 42123 time to create 1 rle with old method : 0.0460660457611084 time for calcul the mask position with numpy : 0.028992652893066406 nb_pixel_total : 70119 time to create 1 rle with old method : 0.07677030563354492 time for calcul the mask position with numpy : 0.028156280517578125 nb_pixel_total : 81775 time to create 1 rle with old method : 0.08630895614624023 time for calcul the mask position with numpy : 0.028435945510864258 nb_pixel_total : 55174 time to create 1 rle with old method : 0.05949831008911133 time for calcul the mask position with numpy : 0.028731346130371094 nb_pixel_total : 153273 time to create 1 rle with new method : 0.4810948371887207 time for calcul the mask position with numpy : 0.029176712036132812 nb_pixel_total : 107992 time to create 1 rle with old method : 0.11974620819091797 time for calcul the mask position with numpy : 0.029615402221679688 nb_pixel_total : 46758 time to create 1 rle with old method : 0.051056623458862305 time for calcul the mask position with numpy : 0.028278350830078125 nb_pixel_total : 9111 time to create 1 rle with old method : 0.009967565536499023 time for calcul the mask position with numpy : 0.028123140335083008 nb_pixel_total : 12551 time to create 1 rle with old method : 0.014005661010742188 time for calcul the mask position with numpy : 0.028243541717529297 nb_pixel_total : 17728 time to create 1 rle with old method : 0.022488832473754883 time for calcul the mask position with numpy : 0.032991647720336914 nb_pixel_total : 75892 time to create 1 rle with old method : 0.09492874145507812 time for calcul the mask position with numpy : 0.027111530303955078 nb_pixel_total : 18446 time to create 1 rle with old method : 0.019622325897216797 time for calcul the mask position with numpy : 0.02732110023498535 nb_pixel_total : 8374 time to create 1 rle with old method : 0.00912785530090332 time for calcul the mask position with numpy : 0.028405427932739258 nb_pixel_total : 42185 time to create 1 rle with old method : 0.046777963638305664 time for calcul the mask position with numpy : 0.02821493148803711 nb_pixel_total : 42928 time to create 1 rle with old method : 0.04606485366821289 time for calcul the mask position with numpy : 0.02819538116455078 nb_pixel_total : 4328 time to create 1 rle with old method : 0.0047702789306640625 time for calcul the mask position with numpy : 0.02801823616027832 nb_pixel_total : 88620 time to create 1 rle with old method : 0.09660959243774414 time for calcul the mask position with numpy : 0.028053760528564453 nb_pixel_total : 50598 time to create 1 rle with old method : 0.05542564392089844 time for calcul the mask position with numpy : 0.02855825424194336 nb_pixel_total : 14969 time to create 1 rle with old method : 0.01632094383239746 time for calcul the mask position with numpy : 0.028287887573242188 nb_pixel_total : 43772 time to create 1 rle with old method : 0.04741406440734863 time for calcul the mask position with numpy : 0.027715444564819336 nb_pixel_total : 96483 time to create 1 rle with old method : 0.10297703742980957 time for calcul the mask position with numpy : 0.028486251831054688 nb_pixel_total : 28303 time to create 1 rle with old method : 0.030323505401611328 time for calcul the mask position with numpy : 0.02740311622619629 nb_pixel_total : 14228 time to create 1 rle with old method : 0.015198230743408203 time for calcul the mask position with numpy : 0.027625560760498047 nb_pixel_total : 33093 time to create 1 rle with old method : 0.03557324409484863 time for calcul the mask position with numpy : 0.030850887298583984 nb_pixel_total : 16250 time to create 1 rle with old method : 0.01771402359008789 time for calcul the mask position with numpy : 0.028145551681518555 nb_pixel_total : 10652 time to create 1 rle with old method : 0.011559724807739258 time for calcul the mask position with numpy : 0.027481555938720703 nb_pixel_total : 14748 time to create 1 rle with old method : 0.016030550003051758 time for calcul the mask position with numpy : 0.02847433090209961 nb_pixel_total : 9283 time to create 1 rle with old method : 0.010417938232421875 time for calcul the mask position with numpy : 0.02901434898376465 nb_pixel_total : 14457 time to create 1 rle with old method : 0.015825986862182617 time for calcul the mask position with numpy : 0.027827739715576172 nb_pixel_total : 18979 time to create 1 rle with old method : 0.020783662796020508 create new chi : 5.0764243602752686 time to delete rle : 0.003120899200439453 batch 1 Loaded 81 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 21668 TO DO : save crop sub photo not yet done ! save time : 1.7749967575073242 nb_obj : 34 nb_hashtags : 5 time to prepare the origin masks : 4.467200040817261 time for calcul the mask position with numpy : 0.451967716217041 nb_pixel_total : 4873890 time to create 1 rle with new method : 0.7117595672607422 time for calcul the mask position with numpy : 0.03167557716369629 nb_pixel_total : 607737 time to create 1 rle with new method : 0.8290724754333496 time for calcul the mask position with numpy : 0.034111738204956055 nb_pixel_total : 161420 time to create 1 rle with new method : 0.6048920154571533 time for calcul the mask position with numpy : 0.02898383140563965 nb_pixel_total : 18392 time to create 1 rle with old method : 0.020567893981933594 time for calcul the mask position with numpy : 0.031046390533447266 nb_pixel_total : 180901 time to create 1 rle with new method : 0.5056273937225342 time for calcul the mask position with numpy : 0.029519319534301758 nb_pixel_total : 33239 time to create 1 rle with old method : 0.0371859073638916 time for calcul the mask position with numpy : 0.029176950454711914 nb_pixel_total : 26835 time to create 1 rle with old method : 0.03157949447631836 time for calcul the mask position with numpy : 0.029173851013183594 nb_pixel_total : 87421 time to create 1 rle with old method : 0.09700131416320801 time for calcul the mask position with numpy : 0.029005050659179688 nb_pixel_total : 23580 time to create 1 rle with old method : 0.026311159133911133 time for calcul the mask position with numpy : 0.0287473201751709 nb_pixel_total : 25038 time to create 1 rle with old method : 0.033484458923339844 time for calcul the mask position with numpy : 0.028583288192749023 nb_pixel_total : 32254 time to create 1 rle with old method : 0.03513336181640625 time for calcul the mask position with numpy : 0.028472423553466797 nb_pixel_total : 5652 time to create 1 rle with old method : 0.006353855133056641 time for calcul the mask position with numpy : 0.02849864959716797 nb_pixel_total : 20205 time to create 1 rle with old method : 0.022290706634521484 time for calcul the mask position with numpy : 0.029203414916992188 nb_pixel_total : 172101 time to create 1 rle with new method : 0.6431279182434082 time for calcul the mask position with numpy : 0.030244827270507812 nb_pixel_total : 94596 time to create 1 rle with old method : 0.10535860061645508 time for calcul the mask position with numpy : 0.02892899513244629 nb_pixel_total : 27664 time to create 1 rle with old method : 0.030858278274536133 time for calcul the mask position with numpy : 0.02891683578491211 nb_pixel_total : 16725 time to create 1 rle with old method : 0.01869511604309082 time for calcul the mask position with numpy : 0.02887415885925293 nb_pixel_total : 48981 time to create 1 rle with old method : 0.05743074417114258 time for calcul the mask position with numpy : 0.0291750431060791 nb_pixel_total : 4574 time to create 1 rle with old method : 0.005146026611328125 time for calcul the mask position with numpy : 0.029271602630615234 nb_pixel_total : 19682 time to create 1 rle with old method : 0.022191524505615234 time for calcul the mask position with numpy : 0.028972148895263672 nb_pixel_total : 17786 time to create 1 rle with old method : 0.019794225692749023 time for calcul the mask position with numpy : 0.02857494354248047 nb_pixel_total : 38083 time to create 1 rle with old method : 0.04202580451965332 time for calcul the mask position with numpy : 0.0286557674407959 nb_pixel_total : 18414 time to create 1 rle with old method : 0.02069377899169922 time for calcul the mask position with numpy : 0.030324220657348633 nb_pixel_total : 40744 time to create 1 rle with old method : 0.048712968826293945 time for calcul the mask position with numpy : 0.0286712646484375 nb_pixel_total : 16823 time to create 1 rle with old method : 0.018488168716430664 time for calcul the mask position with numpy : 0.02853536605834961 nb_pixel_total : 5163 time to create 1 rle with old method : 0.005959510803222656 time for calcul the mask position with numpy : 0.028847455978393555 nb_pixel_total : 11752 time to create 1 rle with old method : 0.013065338134765625 time for calcul the mask position with numpy : 0.02869415283203125 nb_pixel_total : 17886 time to create 1 rle with old method : 0.01992177963256836 time for calcul the mask position with numpy : 0.029199838638305664 nb_pixel_total : 96064 time to create 1 rle with old method : 0.10657978057861328 time for calcul the mask position with numpy : 0.028908729553222656 nb_pixel_total : 12426 time to create 1 rle with old method : 0.013849973678588867 time for calcul the mask position with numpy : 0.02892446517944336 nb_pixel_total : 78794 time to create 1 rle with old method : 0.0859980583190918 time for calcul the mask position with numpy : 0.02868199348449707 nb_pixel_total : 14514 time to create 1 rle with old method : 0.0161740779876709 time for calcul the mask position with numpy : 0.02891230583190918 nb_pixel_total : 82458 time to create 1 rle with old method : 0.0907905101776123 time for calcul the mask position with numpy : 0.028879880905151367 nb_pixel_total : 57593 time to create 1 rle with old method : 0.06255173683166504 time for calcul the mask position with numpy : 0.02960944175720215 nb_pixel_total : 60853 time to create 1 rle with old method : 0.08852505683898926 create new chi : 6.081284523010254 time to delete rle : 0.0031805038452148438 batch 1 Loaded 69 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 21703 TO DO : save crop sub photo not yet done ! save time : 1.3539378643035889 nb_obj : 59 nb_hashtags : 5 time to prepare the origin masks : 4.647981882095337 time for calcul the mask position with numpy : 0.4396359920501709 nb_pixel_total : 4711515 time to create 1 rle with new method : 0.8008174896240234 time for calcul the mask position with numpy : 0.0295870304107666 nb_pixel_total : 73872 time to create 1 rle with old method : 0.08243870735168457 time for calcul the mask position with numpy : 0.030778169631958008 nb_pixel_total : 3593 time to create 1 rle with old method : 0.00598597526550293 time for calcul the mask position with numpy : 0.03357553482055664 nb_pixel_total : 51761 time to create 1 rle with old method : 0.06595754623413086 time for calcul the mask position with numpy : 0.029125452041625977 nb_pixel_total : 12021 time to create 1 rle with old method : 0.013273239135742188 time for calcul the mask position with numpy : 0.029135704040527344 nb_pixel_total : 23556 time to create 1 rle with old method : 0.026406049728393555 time for calcul the mask position with numpy : 0.02928757667541504 nb_pixel_total : 3121 time to create 1 rle with old method : 0.0035047531127929688 time for calcul the mask position with numpy : 0.029133081436157227 nb_pixel_total : 21331 time to create 1 rle with old method : 0.023929119110107422 time for calcul the mask position with numpy : 0.029388904571533203 nb_pixel_total : 29996 time to create 1 rle with old method : 0.03507399559020996 time for calcul the mask position with numpy : 0.030974626541137695 nb_pixel_total : 156848 time to create 1 rle with new method : 0.6453356742858887 time for calcul the mask position with numpy : 0.028589487075805664 nb_pixel_total : 35799 time to create 1 rle with old method : 0.04048752784729004 time for calcul the mask position with numpy : 0.031601905822753906 nb_pixel_total : 4216 time to create 1 rle with old method : 0.0049076080322265625 time for calcul the mask position with numpy : 0.030773401260375977 nb_pixel_total : 241324 time to create 1 rle with new method : 0.7875535488128662 time for calcul the mask position with numpy : 0.03345894813537598 nb_pixel_total : 152548 time to create 1 rle with new method : 0.7538230419158936 time for calcul the mask position with numpy : 0.02949237823486328 nb_pixel_total : 11867 time to create 1 rle with old method : 0.013352394104003906 time for calcul the mask position with numpy : 0.02910923957824707 nb_pixel_total : 43793 time to create 1 rle with old method : 0.04778122901916504 time for calcul the mask position with numpy : 0.028052091598510742 nb_pixel_total : 19029 time to create 1 rle with old method : 0.021259546279907227 time for calcul the mask position with numpy : 0.028804540634155273 nb_pixel_total : 11207 time to create 1 rle with old method : 0.012294769287109375 time for calcul the mask position with numpy : 0.028641939163208008 nb_pixel_total : 72915 time to create 1 rle with old method : 0.09652137756347656 time for calcul the mask position with numpy : 0.033377885818481445 nb_pixel_total : 31152 time to create 1 rle with old method : 0.03381156921386719 time for calcul the mask position with numpy : 0.02770400047302246 nb_pixel_total : 5824 time to create 1 rle with old method : 0.0064623355865478516 time for calcul the mask position with numpy : 0.028382062911987305 nb_pixel_total : 41468 time to create 1 rle with old method : 0.04537487030029297 time for calcul the mask position with numpy : 0.02906322479248047 nb_pixel_total : 38884 time to create 1 rle with old method : 0.04368925094604492 time for calcul the mask position with numpy : 0.029261350631713867 nb_pixel_total : 15402 time to create 1 rle with old method : 0.017235279083251953 time for calcul the mask position with numpy : 0.0308229923248291 nb_pixel_total : 139794 time to create 1 rle with old method : 0.15162110328674316 time for calcul the mask position with numpy : 0.02888965606689453 nb_pixel_total : 28030 time to create 1 rle with old method : 0.031029939651489258 time for calcul the mask position with numpy : 0.02919745445251465 nb_pixel_total : 53079 time to create 1 rle with old method : 0.05821943283081055 time for calcul the mask position with numpy : 0.03046131134033203 nb_pixel_total : 166236 time to create 1 rle with new method : 0.6117234230041504 time for calcul the mask position with numpy : 0.028748035430908203 nb_pixel_total : 36193 time to create 1 rle with old method : 0.03999137878417969 time for calcul the mask position with numpy : 0.028907299041748047 nb_pixel_total : 11408 time to create 1 rle with old method : 0.012917757034301758 time for calcul the mask position with numpy : 0.029057025909423828 nb_pixel_total : 30880 time to create 1 rle with old method : 0.03444218635559082 time for calcul the mask position with numpy : 0.028949975967407227 nb_pixel_total : 10292 time to create 1 rle with old method : 0.01154017448425293 time for calcul the mask position with numpy : 0.02913689613342285 nb_pixel_total : 77459 time to create 1 rle with old method : 0.08878397941589355 time for calcul the mask position with numpy : 0.03343081474304199 nb_pixel_total : 57028 time to create 1 rle with old method : 0.07747220993041992 time for calcul the mask position with numpy : 0.029078245162963867 nb_pixel_total : 15839 time to create 1 rle with old method : 0.017575979232788086 time for calcul the mask position with numpy : 0.029483318328857422 nb_pixel_total : 119274 time to create 1 rle with old method : 0.13134312629699707 time for calcul the mask position with numpy : 0.028100967407226562 nb_pixel_total : 3281 time to create 1 rle with old method : 0.0036232471466064453 time for calcul the mask position with numpy : 0.028464317321777344 nb_pixel_total : 18104 time to create 1 rle with old method : 0.01979351043701172 time for calcul the mask position with numpy : 0.0282137393951416 nb_pixel_total : 15533 time to create 1 rle with old method : 0.01674675941467285 time for calcul the mask position with numpy : 0.028344154357910156 nb_pixel_total : 2067 time to create 1 rle with old method : 0.002682209014892578 time for calcul the mask position with numpy : 0.033089399337768555 nb_pixel_total : 34781 time to create 1 rle with old method : 0.03886818885803223 time for calcul the mask position with numpy : 0.028725385665893555 nb_pixel_total : 24760 time to create 1 rle with old method : 0.027582645416259766 time for calcul the mask position with numpy : 0.02888321876525879 nb_pixel_total : 30358 time to create 1 rle with old method : 0.03393363952636719 time for calcul the mask position with numpy : 0.028238534927368164 nb_pixel_total : 15549 time to create 1 rle with old method : 0.01765894889831543 time for calcul the mask position with numpy : 0.029562711715698242 nb_pixel_total : 53597 time to create 1 rle with old method : 0.058305978775024414 time for calcul the mask position with numpy : 0.02795100212097168 nb_pixel_total : 9313 time to create 1 rle with old method : 0.010288000106811523 time for calcul the mask position with numpy : 0.028215408325195312 nb_pixel_total : 29173 time to create 1 rle with old method : 0.03148937225341797 time for calcul the mask position with numpy : 0.027994632720947266 nb_pixel_total : 15829 time to create 1 rle with old method : 0.01758432388305664 time for calcul the mask position with numpy : 0.027394533157348633 nb_pixel_total : 19115 time to create 1 rle with old method : 0.020073413848876953 time for calcul the mask position with numpy : 0.03230690956115723 nb_pixel_total : 22952 time to create 1 rle with old method : 0.03766655921936035 time for calcul the mask position with numpy : 0.030709028244018555 nb_pixel_total : 37737 time to create 1 rle with old method : 0.041291236877441406 time for calcul the mask position with numpy : 0.02973628044128418 nb_pixel_total : 85794 time to create 1 rle with old method : 0.09428596496582031 time for calcul the mask position with numpy : 0.029422998428344727 nb_pixel_total : 16920 time to create 1 rle with old method : 0.018928050994873047 time for calcul the mask position with numpy : 0.02901005744934082 nb_pixel_total : 7868 time to create 1 rle with old method : 0.008785247802734375 time for calcul the mask position with numpy : 0.02889728546142578 nb_pixel_total : 22268 time to create 1 rle with old method : 0.025671005249023438 time for calcul the mask position with numpy : 0.028835058212280273 nb_pixel_total : 3186 time to create 1 rle with old method : 0.0036787986755371094 time for calcul the mask position with numpy : 0.02893686294555664 nb_pixel_total : 7483 time to create 1 rle with old method : 0.008215665817260742 time for calcul the mask position with numpy : 0.028156757354736328 nb_pixel_total : 6776 time to create 1 rle with old method : 0.0074615478515625 time for calcul the mask position with numpy : 0.028531312942504883 nb_pixel_total : 3489 time to create 1 rle with old method : 0.0039098262786865234 time for calcul the mask position with numpy : 0.031676530838012695 nb_pixel_total : 5753 time to create 1 rle with old method : 0.011334657669067383 create new chi : 7.76992130279541 time to delete rle : 0.0071256160736083984 batch 1 Loaded 120 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 31277 TO DO : save crop sub photo not yet done ! save time : 1.8736917972564697 nb_obj : 35 nb_hashtags : 4 time to prepare the origin masks : 4.806655406951904 time for calcul the mask position with numpy : 0.5938055515289307 nb_pixel_total : 4728808 time to create 1 rle with new method : 0.6619775295257568 time for calcul the mask position with numpy : 0.0294492244720459 nb_pixel_total : 35329 time to create 1 rle with old method : 0.04102277755737305 time for calcul the mask position with numpy : 0.03330683708190918 nb_pixel_total : 36184 time to create 1 rle with old method : 0.05312538146972656 time for calcul the mask position with numpy : 0.02884054183959961 nb_pixel_total : 43570 time to create 1 rle with old method : 0.050522804260253906 time for calcul the mask position with numpy : 0.03227996826171875 nb_pixel_total : 17643 time to create 1 rle with old method : 0.020022869110107422 time for calcul the mask position with numpy : 0.029565811157226562 nb_pixel_total : 65824 time to create 1 rle with old method : 0.07241511344909668 time for calcul the mask position with numpy : 0.031494140625 nb_pixel_total : 267996 time to create 1 rle with new method : 0.5265743732452393 time for calcul the mask position with numpy : 0.027603864669799805 nb_pixel_total : 27051 time to create 1 rle with old method : 0.02873849868774414 time for calcul the mask position with numpy : 0.030316829681396484 nb_pixel_total : 91965 time to create 1 rle with old method : 0.09783697128295898 time for calcul the mask position with numpy : 0.028357505798339844 nb_pixel_total : 105824 time to create 1 rle with old method : 0.1125640869140625 time for calcul the mask position with numpy : 0.02863287925720215 nb_pixel_total : 127431 time to create 1 rle with old method : 0.1370084285736084 time for calcul the mask position with numpy : 0.027324199676513672 nb_pixel_total : 2185 time to create 1 rle with old method : 0.002591371536254883 time for calcul the mask position with numpy : 0.02805304527282715 nb_pixel_total : 41863 time to create 1 rle with old method : 0.04574871063232422 time for calcul the mask position with numpy : 0.028685331344604492 nb_pixel_total : 74793 time to create 1 rle with old method : 0.07876229286193848 time for calcul the mask position with numpy : 0.0273895263671875 nb_pixel_total : 22935 time to create 1 rle with old method : 0.025275230407714844 time for calcul the mask position with numpy : 0.028805255889892578 nb_pixel_total : 55781 time to create 1 rle with old method : 0.060770511627197266 time for calcul the mask position with numpy : 0.02888798713684082 nb_pixel_total : 130044 time to create 1 rle with old method : 0.13908886909484863 time for calcul the mask position with numpy : 0.028748750686645508 nb_pixel_total : 73234 time to create 1 rle with old method : 0.08082389831542969 time for calcul the mask position with numpy : 0.03090190887451172 nb_pixel_total : 191698 time to create 1 rle with new method : 1.2442138195037842 time for calcul the mask position with numpy : 0.030545711517333984 nb_pixel_total : 5604 time to create 1 rle with old method : 0.006292819976806641 time for calcul the mask position with numpy : 0.030556201934814453 nb_pixel_total : 57144 time to create 1 rle with old method : 0.06233525276184082 time for calcul the mask position with numpy : 0.028917551040649414 nb_pixel_total : 21814 time to create 1 rle with old method : 0.023993253707885742 time for calcul the mask position with numpy : 0.028212785720825195 nb_pixel_total : 10700 time to create 1 rle with old method : 0.011875152587890625 time for calcul the mask position with numpy : 0.02875375747680664 nb_pixel_total : 95446 time to create 1 rle with old method : 0.1033632755279541 time for calcul the mask position with numpy : 0.02747178077697754 nb_pixel_total : 19850 time to create 1 rle with old method : 0.021387100219726562 time for calcul the mask position with numpy : 0.027979135513305664 nb_pixel_total : 24491 time to create 1 rle with old method : 0.03431200981140137 time for calcul the mask position with numpy : 0.03280067443847656 nb_pixel_total : 26514 time to create 1 rle with old method : 0.03616523742675781 time for calcul the mask position with numpy : 0.027711153030395508 nb_pixel_total : 14223 time to create 1 rle with old method : 0.015564203262329102 time for calcul the mask position with numpy : 0.02859187126159668 nb_pixel_total : 259573 time to create 1 rle with new method : 0.864342451095581 time for calcul the mask position with numpy : 0.02968740463256836 nb_pixel_total : 191515 time to create 1 rle with new method : 0.7223660945892334 time for calcul the mask position with numpy : 0.02811884880065918 nb_pixel_total : 46744 time to create 1 rle with old method : 0.05000042915344238 time for calcul the mask position with numpy : 0.028000831604003906 nb_pixel_total : 40914 time to create 1 rle with old method : 0.04292559623718262 time for calcul the mask position with numpy : 0.027515649795532227 nb_pixel_total : 1769 time to create 1 rle with old method : 0.0020799636840820312 time for calcul the mask position with numpy : 0.02901911735534668 nb_pixel_total : 47777 time to create 1 rle with old method : 0.05124092102050781 time for calcul the mask position with numpy : 0.029357433319091797 nb_pixel_total : 37685 time to create 1 rle with old method : 0.04032754898071289 time for calcul the mask position with numpy : 0.02746295928955078 nb_pixel_total : 8319 time to create 1 rle with old method : 0.00873708724975586 create new chi : 7.322804689407349 time to delete rle : 0.006404876708984375 batch 1 Loaded 71 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 27643 TO DO : save crop sub photo not yet done ! save time : 1.854280710220337 nb_obj : 38 nb_hashtags : 6 time to prepare the origin masks : 4.657232284545898 time for calcul the mask position with numpy : 0.40738844871520996 nb_pixel_total : 4399365 time to create 1 rle with new method : 0.7473835945129395 time for calcul the mask position with numpy : 0.02748894691467285 nb_pixel_total : 3823 time to create 1 rle with old method : 0.0040624141693115234 time for calcul the mask position with numpy : 0.028081178665161133 nb_pixel_total : 143713 time to create 1 rle with old method : 0.14658451080322266 time for calcul the mask position with numpy : 0.02649855613708496 nb_pixel_total : 18983 time to create 1 rle with old method : 0.0193021297454834 time for calcul the mask position with numpy : 0.02786707878112793 nb_pixel_total : 136578 time to create 1 rle with old method : 0.14068198204040527 time for calcul the mask position with numpy : 0.028172016143798828 nb_pixel_total : 20633 time to create 1 rle with old method : 0.02316117286682129 time for calcul the mask position with numpy : 0.029195547103881836 nb_pixel_total : 15272 time to create 1 rle with old method : 0.017091035842895508 time for calcul the mask position with numpy : 0.029288291931152344 nb_pixel_total : 52454 time to create 1 rle with old method : 0.05827474594116211 time for calcul the mask position with numpy : 0.028124094009399414 nb_pixel_total : 13998 time to create 1 rle with old method : 0.015069246292114258 time for calcul the mask position with numpy : 0.028768062591552734 nb_pixel_total : 106416 time to create 1 rle with old method : 0.11112022399902344 time for calcul the mask position with numpy : 0.026692867279052734 nb_pixel_total : 15214 time to create 1 rle with old method : 0.01583409309387207 time for calcul the mask position with numpy : 0.029158353805541992 nb_pixel_total : 418887 time to create 1 rle with new method : 0.5474081039428711 time for calcul the mask position with numpy : 0.027740955352783203 nb_pixel_total : 96038 time to create 1 rle with old method : 0.10144853591918945 time for calcul the mask position with numpy : 0.026961803436279297 nb_pixel_total : 39301 time to create 1 rle with old method : 0.04096698760986328 time for calcul the mask position with numpy : 0.026874780654907227 nb_pixel_total : 82739 time to create 1 rle with old method : 0.08563613891601562 time for calcul the mask position with numpy : 0.027126073837280273 nb_pixel_total : 87180 time to create 1 rle with old method : 0.12309813499450684 time for calcul the mask position with numpy : 0.02767157554626465 nb_pixel_total : 229827 time to create 1 rle with new method : 0.4578111171722412 time for calcul the mask position with numpy : 0.03151202201843262 nb_pixel_total : 565018 time to create 1 rle with new method : 0.5175909996032715 time for calcul the mask position with numpy : 0.028822660446166992 nb_pixel_total : 34501 time to create 1 rle with old method : 0.03702378273010254 time for calcul the mask position with numpy : 0.02805495262145996 nb_pixel_total : 9793 time to create 1 rle with old method : 0.010659456253051758 time for calcul the mask position with numpy : 0.03066277503967285 nb_pixel_total : 27869 time to create 1 rle with old method : 0.031127452850341797 time for calcul the mask position with numpy : 0.028645038604736328 nb_pixel_total : 42448 time to create 1 rle with old method : 0.04787445068359375 time for calcul the mask position with numpy : 0.030903100967407227 nb_pixel_total : 19155 time to create 1 rle with old method : 0.02132701873779297 time for calcul the mask position with numpy : 0.028265953063964844 nb_pixel_total : 24456 time to create 1 rle with old method : 0.02728438377380371 time for calcul the mask position with numpy : 0.028816699981689453 nb_pixel_total : 52724 time to create 1 rle with old method : 0.057666778564453125 time for calcul the mask position with numpy : 0.02868342399597168 nb_pixel_total : 46565 time to create 1 rle with old method : 0.05054497718811035 time for calcul the mask position with numpy : 0.028316259384155273 nb_pixel_total : 23228 time to create 1 rle with old method : 0.027055740356445312 time for calcul the mask position with numpy : 0.02833867073059082 nb_pixel_total : 1392 time to create 1 rle with old method : 0.00185394287109375 time for calcul the mask position with numpy : 0.0278322696685791 nb_pixel_total : 12799 time to create 1 rle with old method : 0.014175653457641602 time for calcul the mask position with numpy : 0.029208660125732422 nb_pixel_total : 122160 time to create 1 rle with old method : 0.1320359706878662 time for calcul the mask position with numpy : 0.02807307243347168 nb_pixel_total : 24523 time to create 1 rle with old method : 0.026627063751220703 time for calcul the mask position with numpy : 0.028361082077026367 nb_pixel_total : 49655 time to create 1 rle with old method : 0.05386543273925781 time for calcul the mask position with numpy : 0.027396202087402344 nb_pixel_total : 37424 time to create 1 rle with old method : 0.03962111473083496 time for calcul the mask position with numpy : 0.027725934982299805 nb_pixel_total : 28355 time to create 1 rle with old method : 0.029989004135131836 time for calcul the mask position with numpy : 0.027417659759521484 nb_pixel_total : 10127 time to create 1 rle with old method : 0.01109457015991211 time for calcul the mask position with numpy : 0.028548002243041992 nb_pixel_total : 109 time to create 1 rle with old method : 0.00016117095947265625 time for calcul the mask position with numpy : 0.026866674423217773 nb_pixel_total : 22292 time to create 1 rle with old method : 0.02306389808654785 time for calcul the mask position with numpy : 0.02884960174560547 nb_pixel_total : 6896 time to create 1 rle with old method : 0.00783085823059082 time for calcul the mask position with numpy : 0.030887126922607422 nb_pixel_total : 8330 time to create 1 rle with old method : 0.009262561798095703 create new chi : 5.420924425125122 time to delete rle : 0.006200075149536133 batch 1 Loaded 77 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 24508 TO DO : save crop sub photo not yet done ! save time : 4.531928300857544 nb_obj : 34 nb_hashtags : 6 time to prepare the origin masks : 4.104611873626709 time for calcul the mask position with numpy : 0.5174944400787354 nb_pixel_total : 5191906 time to create 1 rle with new method : 0.803765058517456 time for calcul the mask position with numpy : 0.028666973114013672 nb_pixel_total : 14319 time to create 1 rle with old method : 0.022905826568603516 time for calcul the mask position with numpy : 0.03143811225891113 nb_pixel_total : 149057 time to create 1 rle with old method : 0.16527271270751953 time for calcul the mask position with numpy : 0.02811408042907715 nb_pixel_total : 46191 time to create 1 rle with old method : 0.04950761795043945 time for calcul the mask position with numpy : 0.027669906616210938 nb_pixel_total : 14470 time to create 1 rle with old method : 0.015511512756347656 time for calcul the mask position with numpy : 0.029575347900390625 nb_pixel_total : 97081 time to create 1 rle with old method : 0.10386896133422852 time for calcul the mask position with numpy : 0.028144359588623047 nb_pixel_total : 40199 time to create 1 rle with old method : 0.043561458587646484 time for calcul the mask position with numpy : 0.029051780700683594 nb_pixel_total : 18190 time to create 1 rle with old method : 0.027318716049194336 time for calcul the mask position with numpy : 0.03020787239074707 nb_pixel_total : 92843 time to create 1 rle with old method : 0.10181951522827148 time for calcul the mask position with numpy : 0.02850937843322754 nb_pixel_total : 241667 time to create 1 rle with new method : 0.5134809017181396 time for calcul the mask position with numpy : 0.028017044067382812 nb_pixel_total : 13831 time to create 1 rle with old method : 0.014874458312988281 time for calcul the mask position with numpy : 0.028692007064819336 nb_pixel_total : 50120 time to create 1 rle with old method : 0.05463004112243652 time for calcul the mask position with numpy : 0.029320955276489258 nb_pixel_total : 40551 time to create 1 rle with old method : 0.051820993423461914 time for calcul the mask position with numpy : 0.02796459197998047 nb_pixel_total : 16772 time to create 1 rle with old method : 0.018328189849853516 time for calcul the mask position with numpy : 0.02895808219909668 nb_pixel_total : 80148 time to create 1 rle with old method : 0.08987951278686523 time for calcul the mask position with numpy : 0.02979755401611328 nb_pixel_total : 86549 time to create 1 rle with old method : 0.09408164024353027 time for calcul the mask position with numpy : 0.028580188751220703 nb_pixel_total : 224546 time to create 1 rle with new method : 0.4922022819519043 time for calcul the mask position with numpy : 0.02869582176208496 nb_pixel_total : 36294 time to create 1 rle with old method : 0.03871917724609375 time for calcul the mask position with numpy : 0.027465105056762695 nb_pixel_total : 30309 time to create 1 rle with old method : 0.03404951095581055 time for calcul the mask position with numpy : 0.028226375579833984 nb_pixel_total : 106917 time to create 1 rle with old method : 0.11330056190490723 time for calcul the mask position with numpy : 0.027916669845581055 nb_pixel_total : 20987 time to create 1 rle with old method : 0.022237300872802734 time for calcul the mask position with numpy : 0.02877330780029297 nb_pixel_total : 58103 time to create 1 rle with old method : 0.0625758171081543 time for calcul the mask position with numpy : 0.027110815048217773 nb_pixel_total : 3679 time to create 1 rle with old method : 0.0041425228118896484 time for calcul the mask position with numpy : 0.027939319610595703 nb_pixel_total : 46658 time to create 1 rle with old method : 0.04813337326049805 time for calcul the mask position with numpy : 0.02773141860961914 nb_pixel_total : 20270 time to create 1 rle with old method : 0.021975278854370117 time for calcul the mask position with numpy : 0.028598308563232422 nb_pixel_total : 35750 time to create 1 rle with old method : 0.03768491744995117 time for calcul the mask position with numpy : 0.028920650482177734 nb_pixel_total : 142451 time to create 1 rle with old method : 0.1504347324371338 time for calcul the mask position with numpy : 0.028157472610473633 nb_pixel_total : 17497 time to create 1 rle with old method : 0.018589019775390625 time for calcul the mask position with numpy : 0.027653932571411133 nb_pixel_total : 25194 time to create 1 rle with old method : 0.026993989944458008 time for calcul the mask position with numpy : 0.02987384796142578 nb_pixel_total : 8049 time to create 1 rle with old method : 0.008344411849975586 time for calcul the mask position with numpy : 0.026772737503051758 nb_pixel_total : 33533 time to create 1 rle with old method : 0.035509347915649414 time for calcul the mask position with numpy : 0.02674388885498047 nb_pixel_total : 5965 time to create 1 rle with old method : 0.006232500076293945 time for calcul the mask position with numpy : 0.027238130569458008 nb_pixel_total : 10414 time to create 1 rle with old method : 0.011640310287475586 time for calcul the mask position with numpy : 0.029508352279663086 nb_pixel_total : 17171 time to create 1 rle with old method : 0.018381595611572266 time for calcul the mask position with numpy : 0.027343034744262695 nb_pixel_total : 12559 time to create 1 rle with old method : 0.0157470703125 create new chi : 4.9075727462768555 time to delete rle : 0.003121614456176758 batch 1 Loaded 69 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 22140 TO DO : save crop sub photo not yet done ! save time : 12.672279357910156 nb_obj : 40 nb_hashtags : 3 time to prepare the origin masks : 4.872355222702026 time for calcul the mask position with numpy : 0.5808782577514648 nb_pixel_total : 4514293 time to create 1 rle with new method : 0.7092621326446533 time for calcul the mask position with numpy : 0.030075550079345703 nb_pixel_total : 352742 time to create 1 rle with new method : 0.7907557487487793 time for calcul the mask position with numpy : 0.029021739959716797 nb_pixel_total : 155750 time to create 1 rle with new method : 0.5595955848693848 time for calcul the mask position with numpy : 0.02857804298400879 nb_pixel_total : 42905 time to create 1 rle with old method : 0.04722952842712402 time for calcul the mask position with numpy : 0.028545379638671875 nb_pixel_total : 32940 time to create 1 rle with old method : 0.03582501411437988 time for calcul the mask position with numpy : 0.028594493865966797 nb_pixel_total : 59196 time to create 1 rle with old method : 0.06665325164794922 time for calcul the mask position with numpy : 0.03143000602722168 nb_pixel_total : 25056 time to create 1 rle with old method : 0.02857828140258789 time for calcul the mask position with numpy : 0.029203414916992188 nb_pixel_total : 68574 time to create 1 rle with old method : 0.08648991584777832 time for calcul the mask position with numpy : 0.028790950775146484 nb_pixel_total : 58415 time to create 1 rle with old method : 0.0648353099822998 time for calcul the mask position with numpy : 0.029067277908325195 nb_pixel_total : 47879 time to create 1 rle with old method : 0.05340719223022461 time for calcul the mask position with numpy : 0.029048919677734375 nb_pixel_total : 17605 time to create 1 rle with old method : 0.019304752349853516 time for calcul the mask position with numpy : 0.031160593032836914 nb_pixel_total : 50172 time to create 1 rle with old method : 0.06969666481018066 time for calcul the mask position with numpy : 0.03258562088012695 nb_pixel_total : 27902 time to create 1 rle with old method : 0.04626131057739258 time for calcul the mask position with numpy : 0.03103160858154297 nb_pixel_total : 61646 time to create 1 rle with old method : 0.0673668384552002 time for calcul the mask position with numpy : 0.028970718383789062 nb_pixel_total : 11682 time to create 1 rle with old method : 0.013003110885620117 time for calcul the mask position with numpy : 0.02987527847290039 nb_pixel_total : 90498 time to create 1 rle with old method : 0.10074591636657715 time for calcul the mask position with numpy : 0.028278827667236328 nb_pixel_total : 24366 time to create 1 rle with old method : 0.0272367000579834 time for calcul the mask position with numpy : 0.029786109924316406 nb_pixel_total : 30342 time to create 1 rle with old method : 0.03444099426269531 time for calcul the mask position with numpy : 0.030313491821289062 nb_pixel_total : 63481 time to create 1 rle with old method : 0.07123756408691406 time for calcul the mask position with numpy : 0.029658794403076172 nb_pixel_total : 145732 time to create 1 rle with old method : 0.18590283393859863 time for calcul the mask position with numpy : 0.030720949172973633 nb_pixel_total : 58679 time to create 1 rle with old method : 0.06402897834777832 time for calcul the mask position with numpy : 0.028354644775390625 nb_pixel_total : 45017 time to create 1 rle with old method : 0.04904913902282715 time for calcul the mask position with numpy : 0.0287473201751709 nb_pixel_total : 37098 time to create 1 rle with old method : 0.04082465171813965 time for calcul the mask position with numpy : 0.029308795928955078 nb_pixel_total : 106070 time to create 1 rle with old method : 0.1439836025238037 time for calcul the mask position with numpy : 0.03087449073791504 nb_pixel_total : 305248 time to create 1 rle with new method : 0.8176991939544678 time for calcul the mask position with numpy : 0.03015446662902832 nb_pixel_total : 185279 time to create 1 rle with new method : 0.4547257423400879 time for calcul the mask position with numpy : 0.029081344604492188 nb_pixel_total : 121415 time to create 1 rle with old method : 0.14366555213928223 time for calcul the mask position with numpy : 0.030355453491210938 nb_pixel_total : 95317 time to create 1 rle with old method : 0.10923624038696289 time for calcul the mask position with numpy : 0.02978968620300293 nb_pixel_total : 32692 time to create 1 rle with old method : 0.03914022445678711 time for calcul the mask position with numpy : 0.02969813346862793 nb_pixel_total : 31269 time to create 1 rle with old method : 0.037149667739868164 time for calcul the mask position with numpy : 0.030837297439575195 nb_pixel_total : 19507 time to create 1 rle with old method : 0.02166271209716797 time for calcul the mask position with numpy : 0.029309749603271484 nb_pixel_total : 41600 time to create 1 rle with old method : 0.05262947082519531 time for calcul the mask position with numpy : 0.033355712890625 nb_pixel_total : 12420 time to create 1 rle with old method : 0.020562410354614258 time for calcul the mask position with numpy : 0.031014442443847656 nb_pixel_total : 8443 time to create 1 rle with old method : 0.009517908096313477 time for calcul the mask position with numpy : 0.02878546714782715 nb_pixel_total : 2503 time to create 1 rle with old method : 0.0027871131896972656 time for calcul the mask position with numpy : 0.02840590476989746 nb_pixel_total : 1235 time to create 1 rle with old method : 0.0013661384582519531 time for calcul the mask position with numpy : 0.027606725692749023 nb_pixel_total : 1658 time to create 1 rle with old method : 0.0017251968383789062 time for calcul the mask position with numpy : 0.028043270111083984 nb_pixel_total : 2809 time to create 1 rle with old method : 0.0031609535217285156 time for calcul the mask position with numpy : 0.028282880783081055 nb_pixel_total : 15446 time to create 1 rle with old method : 0.017441272735595703 time for calcul the mask position with numpy : 0.03069782257080078 nb_pixel_total : 32435 time to create 1 rle with old method : 0.03680753707885742 time for calcul the mask position with numpy : 0.03607630729675293 nb_pixel_total : 12924 time to create 1 rle with old method : 0.0360715389251709 create new chi : 7.087044715881348 time to delete rle : 0.010480165481567383 batch 1 Loaded 81 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 27398 TO DO : save crop sub photo not yet done ! save time : 2.179490566253662 nb_obj : 45 nb_hashtags : 6 time to prepare the origin masks : 4.630069732666016 time for calcul the mask position with numpy : 0.7065849304199219 nb_pixel_total : 4896440 time to create 1 rle with new method : 0.3659090995788574 time for calcul the mask position with numpy : 0.028684139251708984 nb_pixel_total : 16918 time to create 1 rle with old method : 0.017525911331176758 time for calcul the mask position with numpy : 0.027513980865478516 nb_pixel_total : 101164 time to create 1 rle with old method : 0.11241698265075684 time for calcul the mask position with numpy : 0.03204751014709473 nb_pixel_total : 4441 time to create 1 rle with old method : 0.0052890777587890625 time for calcul the mask position with numpy : 0.03166532516479492 nb_pixel_total : 18017 time to create 1 rle with old method : 0.03211784362792969 time for calcul the mask position with numpy : 0.03620791435241699 nb_pixel_total : 16378 time to create 1 rle with old method : 0.029634475708007812 time for calcul the mask position with numpy : 0.03879404067993164 nb_pixel_total : 12971 time to create 1 rle with old method : 0.014658451080322266 time for calcul the mask position with numpy : 0.02913522720336914 nb_pixel_total : 30634 time to create 1 rle with old method : 0.03418588638305664 time for calcul the mask position with numpy : 0.029126405715942383 nb_pixel_total : 32643 time to create 1 rle with old method : 0.03670787811279297 time for calcul the mask position with numpy : 0.02953338623046875 nb_pixel_total : 108509 time to create 1 rle with old method : 0.1209712028503418 time for calcul the mask position with numpy : 0.030981779098510742 nb_pixel_total : 30928 time to create 1 rle with old method : 0.049233436584472656 time for calcul the mask position with numpy : 0.03501105308532715 nb_pixel_total : 11867 time to create 1 rle with old method : 0.020992279052734375 time for calcul the mask position with numpy : 0.036966800689697266 nb_pixel_total : 38760 time to create 1 rle with old method : 0.04517960548400879 time for calcul the mask position with numpy : 0.029256343841552734 nb_pixel_total : 10103 time to create 1 rle with old method : 0.011224746704101562 time for calcul the mask position with numpy : 0.02969813346862793 nb_pixel_total : 92597 time to create 1 rle with old method : 0.10237860679626465 time for calcul the mask position with numpy : 0.029407739639282227 nb_pixel_total : 27192 time to create 1 rle with old method : 0.03624320030212402 time for calcul the mask position with numpy : 0.03370809555053711 nb_pixel_total : 58474 time to create 1 rle with old method : 0.07410836219787598 time for calcul the mask position with numpy : 0.029638290405273438 nb_pixel_total : 129959 time to create 1 rle with old method : 0.1466224193572998 time for calcul the mask position with numpy : 0.02934432029724121 nb_pixel_total : 28503 time to create 1 rle with old method : 0.03166818618774414 time for calcul the mask position with numpy : 0.028667211532592773 nb_pixel_total : 10945 time to create 1 rle with old method : 0.012368202209472656 time for calcul the mask position with numpy : 0.028252363204956055 nb_pixel_total : 35838 time to create 1 rle with old method : 0.037756919860839844 time for calcul the mask position with numpy : 0.027411699295043945 nb_pixel_total : 37037 time to create 1 rle with old method : 0.04134368896484375 time for calcul the mask position with numpy : 0.027648210525512695 nb_pixel_total : 53967 time to create 1 rle with old method : 0.05926918983459473 time for calcul the mask position with numpy : 0.0278778076171875 nb_pixel_total : 18120 time to create 1 rle with old method : 0.018891096115112305 time for calcul the mask position with numpy : 0.027518749237060547 nb_pixel_total : 52078 time to create 1 rle with old method : 0.0538945198059082 time for calcul the mask position with numpy : 0.027376413345336914 nb_pixel_total : 20742 time to create 1 rle with old method : 0.02170872688293457 time for calcul the mask position with numpy : 0.030219554901123047 nb_pixel_total : 26350 time to create 1 rle with old method : 0.034961700439453125 time for calcul the mask position with numpy : 0.03309321403503418 nb_pixel_total : 18921 time to create 1 rle with old method : 0.02070140838623047 time for calcul the mask position with numpy : 0.028706073760986328 nb_pixel_total : 11024 time to create 1 rle with old method : 0.011823892593383789 time for calcul the mask position with numpy : 0.028318405151367188 nb_pixel_total : 47963 time to create 1 rle with old method : 0.05260157585144043 time for calcul the mask position with numpy : 0.030425071716308594 nb_pixel_total : 157458 time to create 1 rle with new method : 0.7129113674163818 time for calcul the mask position with numpy : 0.029265165328979492 nb_pixel_total : 91572 time to create 1 rle with old method : 0.10232162475585938 time for calcul the mask position with numpy : 0.029343366622924805 nb_pixel_total : 284900 time to create 1 rle with new method : 1.0633797645568848 time for calcul the mask position with numpy : 0.029677391052246094 nb_pixel_total : 49056 time to create 1 rle with old method : 0.05417513847351074 time for calcul the mask position with numpy : 0.02899169921875 nb_pixel_total : 664 time to create 1 rle with old method : 0.0008234977722167969 time for calcul the mask position with numpy : 0.028299570083618164 nb_pixel_total : 41841 time to create 1 rle with old method : 0.04571390151977539 time for calcul the mask position with numpy : 0.030794382095336914 nb_pixel_total : 12010 time to create 1 rle with old method : 0.014149188995361328 time for calcul the mask position with numpy : 0.03174757957458496 nb_pixel_total : 58439 time to create 1 rle with old method : 0.07211589813232422 time for calcul the mask position with numpy : 0.03238272666931152 nb_pixel_total : 62392 time to create 1 rle with old method : 0.06895828247070312 time for calcul the mask position with numpy : 0.028917312622070312 nb_pixel_total : 20523 time to create 1 rle with old method : 0.022604703903198242 time for calcul the mask position with numpy : 0.029041051864624023 nb_pixel_total : 18802 time to create 1 rle with old method : 0.020422935485839844 time for calcul the mask position with numpy : 0.028356075286865234 nb_pixel_total : 55372 time to create 1 rle with old method : 0.061742544174194336 time for calcul the mask position with numpy : 0.029340505599975586 nb_pixel_total : 132202 time to create 1 rle with old method : 0.1474301815032959 time for calcul the mask position with numpy : 0.028995513916015625 nb_pixel_total : 12600 time to create 1 rle with old method : 0.014098644256591797 time for calcul the mask position with numpy : 0.02905559539794922 nb_pixel_total : 39141 time to create 1 rle with old method : 0.06284403800964355 time for calcul the mask position with numpy : 0.03244280815124512 nb_pixel_total : 13785 time to create 1 rle with old method : 0.015411615371704102 create new chi : 6.286777973175049 time to delete rle : 0.0062732696533203125 batch 1 Loaded 91 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 24824 TO DO : save crop sub photo not yet done ! save time : 5.601397275924683 nb_obj : 24 nb_hashtags : 4 time to prepare the origin masks : 10.96620512008667 time for calcul the mask position with numpy : 0.6706819534301758 nb_pixel_total : 5768891 time to create 1 rle with new method : 0.4687075614929199 time for calcul the mask position with numpy : 0.03605198860168457 nb_pixel_total : 4059 time to create 1 rle with old method : 0.0046689510345458984 time for calcul the mask position with numpy : 0.036531925201416016 nb_pixel_total : 110782 time to create 1 rle with old method : 0.14951586723327637 time for calcul the mask position with numpy : 0.03811931610107422 nb_pixel_total : 5066 time to create 1 rle with old method : 0.0057373046875 time for calcul the mask position with numpy : 0.03643321990966797 nb_pixel_total : 9905 time to create 1 rle with old method : 0.011223077774047852 time for calcul the mask position with numpy : 0.03704190254211426 nb_pixel_total : 118532 time to create 1 rle with old method : 0.1348118782043457 time for calcul the mask position with numpy : 0.03723406791687012 nb_pixel_total : 31417 time to create 1 rle with old method : 0.035599708557128906 time for calcul the mask position with numpy : 0.03710532188415527 nb_pixel_total : 14510 time to create 1 rle with old method : 0.016774892807006836 time for calcul the mask position with numpy : 0.03877735137939453 nb_pixel_total : 6825 time to create 1 rle with old method : 0.008376598358154297 time for calcul the mask position with numpy : 0.03738236427307129 nb_pixel_total : 11083 time to create 1 rle with old method : 0.012482643127441406 time for calcul the mask position with numpy : 0.03830122947692871 nb_pixel_total : 101753 time to create 1 rle with old method : 0.11305451393127441 time for calcul the mask position with numpy : 0.03651237487792969 nb_pixel_total : 135271 time to create 1 rle with old method : 0.1553807258605957 time for calcul the mask position with numpy : 0.036467552185058594 nb_pixel_total : 40160 time to create 1 rle with old method : 0.04684710502624512 time for calcul the mask position with numpy : 0.036669015884399414 nb_pixel_total : 71075 time to create 1 rle with old method : 0.07953524589538574 time for calcul the mask position with numpy : 0.037966012954711914 nb_pixel_total : 8337 time to create 1 rle with old method : 0.009302854537963867 time for calcul the mask position with numpy : 0.03820371627807617 nb_pixel_total : 39820 time to create 1 rle with old method : 0.05167579650878906 time for calcul the mask position with numpy : 0.0375981330871582 nb_pixel_total : 101231 time to create 1 rle with old method : 0.11244630813598633 time for calcul the mask position with numpy : 0.03787803649902344 nb_pixel_total : 39265 time to create 1 rle with old method : 0.04405331611633301 time for calcul the mask position with numpy : 0.03640341758728027 nb_pixel_total : 5846 time to create 1 rle with old method : 0.006483793258666992 time for calcul the mask position with numpy : 0.03738832473754883 nb_pixel_total : 58114 time to create 1 rle with old method : 0.06441259384155273 time for calcul the mask position with numpy : 0.037944793701171875 nb_pixel_total : 8600 time to create 1 rle with old method : 0.009607076644897461 time for calcul the mask position with numpy : 0.040757179260253906 nb_pixel_total : 22661 time to create 1 rle with old method : 0.025063276290893555 time for calcul the mask position with numpy : 0.03758049011230469 nb_pixel_total : 48519 time to create 1 rle with old method : 0.05435490608215332 time for calcul the mask position with numpy : 0.039452314376831055 nb_pixel_total : 269513 time to create 1 rle with new method : 0.31528306007385254 time for calcul the mask position with numpy : 0.03692269325256348 nb_pixel_total : 19005 time to create 1 rle with old method : 0.02284073829650879 create new chi : 3.584332227706909 time to delete rle : 0.0041294097900390625 batch 1 Loaded 49 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++Number RLEs to save : 16079 TO DO : save crop sub photo not yet done ! save time : 1.061030626296997 nb_obj : 27 nb_hashtags : 4 time to prepare the origin masks : 4.866286516189575 time for calcul the mask position with numpy : 0.6423320770263672 nb_pixel_total : 4771159 time to create 1 rle with new method : 0.8195183277130127 time for calcul the mask position with numpy : 0.030234813690185547 nb_pixel_total : 18010 time to create 1 rle with old method : 0.02011704444885254 time for calcul the mask position with numpy : 0.03270554542541504 nb_pixel_total : 5285 time to create 1 rle with old method : 0.008848428726196289 time for calcul the mask position with numpy : 0.03469085693359375 nb_pixel_total : 70733 time to create 1 rle with old method : 0.08221626281738281 time for calcul the mask position with numpy : 0.029325485229492188 nb_pixel_total : 1770 time to create 1 rle with old method : 0.002178668975830078 time for calcul the mask position with numpy : 0.029339313507080078 nb_pixel_total : 17079 time to create 1 rle with old method : 0.019192218780517578 time for calcul the mask position with numpy : 0.029226303100585938 nb_pixel_total : 17338 time to create 1 rle with old method : 0.01958298683166504 time for calcul the mask position with numpy : 0.030101537704467773 nb_pixel_total : 53781 time to create 1 rle with old method : 0.0609738826751709 time for calcul the mask position with numpy : 0.02895355224609375 nb_pixel_total : 27021 time to create 1 rle with old method : 0.02923440933227539 time for calcul the mask position with numpy : 0.031170129776000977 nb_pixel_total : 106342 time to create 1 rle with old method : 0.1576380729675293 time for calcul the mask position with numpy : 0.03918170928955078 nb_pixel_total : 822057 time to create 1 rle with new method : 0.7065494060516357 time for calcul the mask position with numpy : 0.03224635124206543 nb_pixel_total : 157636 time to create 1 rle with new method : 0.40709662437438965 time for calcul the mask position with numpy : 0.02899789810180664 nb_pixel_total : 1926 time to create 1 rle with old method : 0.0024662017822265625 time for calcul the mask position with numpy : 0.02917003631591797 nb_pixel_total : 10600 time to create 1 rle with old method : 0.015450000762939453 time for calcul the mask position with numpy : 0.030136823654174805 nb_pixel_total : 45404 time to create 1 rle with old method : 0.07431149482727051 time for calcul the mask position with numpy : 0.03539228439331055 nb_pixel_total : 54598 time to create 1 rle with old method : 0.06902575492858887 time for calcul the mask position with numpy : 0.03040027618408203 nb_pixel_total : 22447 time to create 1 rle with old method : 0.02514481544494629 time for calcul the mask position with numpy : 0.030197858810424805 nb_pixel_total : 139966 time to create 1 rle with old method : 0.17895841598510742 time for calcul the mask position with numpy : 0.03331279754638672 nb_pixel_total : 96594 time to create 1 rle with old method : 0.12709379196166992 time for calcul the mask position with numpy : 0.03269529342651367 nb_pixel_total : 194133 time to create 1 rle with new method : 0.6826345920562744 time for calcul the mask position with numpy : 0.029445171356201172 nb_pixel_total : 9405 time to create 1 rle with old method : 0.01073312759399414 time for calcul the mask position with numpy : 0.030188798904418945 nb_pixel_total : 77036 time to create 1 rle with old method : 0.0890955924987793 time for calcul the mask position with numpy : 0.033119916915893555 nb_pixel_total : 128647 time to create 1 rle with old method : 0.1470329761505127 time for calcul the mask position with numpy : 0.03118133544921875 nb_pixel_total : 109396 time to create 1 rle with old method : 0.12555718421936035 time for calcul the mask position with numpy : 0.02989673614501953 nb_pixel_total : 50988 time to create 1 rle with old method : 0.060502052307128906 time for calcul the mask position with numpy : 0.037422895431518555 nb_pixel_total : 7972 time to create 1 rle with old method : 0.009064674377441406 time for calcul the mask position with numpy : 0.02929854393005371 nb_pixel_total : 12739 time to create 1 rle with old method : 0.014159917831420898 time for calcul the mask position with numpy : 0.02966761589050293 nb_pixel_total : 20178 time to create 1 rle with old method : 0.023003339767456055 create new chi : 5.590303182601929 time to delete rle : 0.005504608154296875 batch 1 Loaded 55 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 21549 TO DO : save crop sub photo not yet done ! save time : 1.6175642013549805 nb_obj : 41 nb_hashtags : 4 time to prepare the origin masks : 4.345813989639282 time for calcul the mask position with numpy : 0.5027389526367188 nb_pixel_total : 5466221 time to create 1 rle with new method : 0.8137094974517822 time for calcul the mask position with numpy : 0.029677391052246094 nb_pixel_total : 26633 time to create 1 rle with old method : 0.0337679386138916 time for calcul the mask position with numpy : 0.03141379356384277 nb_pixel_total : 10392 time to create 1 rle with old method : 0.013016223907470703 time for calcul the mask position with numpy : 0.030170440673828125 nb_pixel_total : 56025 time to create 1 rle with old method : 0.06109619140625 time for calcul the mask position with numpy : 0.030702590942382812 nb_pixel_total : 69408 time to create 1 rle with old method : 0.07814836502075195 time for calcul the mask position with numpy : 0.029634714126586914 nb_pixel_total : 24793 time to create 1 rle with old method : 0.027767658233642578 time for calcul the mask position with numpy : 0.029477357864379883 nb_pixel_total : 15077 time to create 1 rle with old method : 0.016824960708618164 time for calcul the mask position with numpy : 0.029007673263549805 nb_pixel_total : 4092 time to create 1 rle with old method : 0.004565715789794922 time for calcul the mask position with numpy : 0.029413461685180664 nb_pixel_total : 18010 time to create 1 rle with old method : 0.02000117301940918 time for calcul the mask position with numpy : 0.030318498611450195 nb_pixel_total : 48698 time to create 1 rle with old method : 0.05428171157836914 time for calcul the mask position with numpy : 0.028950929641723633 nb_pixel_total : 19715 time to create 1 rle with old method : 0.02207493782043457 time for calcul the mask position with numpy : 0.028975486755371094 nb_pixel_total : 10209 time to create 1 rle with old method : 0.011352062225341797 time for calcul the mask position with numpy : 0.029470205307006836 nb_pixel_total : 35504 time to create 1 rle with old method : 0.04306817054748535 time for calcul the mask position with numpy : 0.03107309341430664 nb_pixel_total : 11727 time to create 1 rle with old method : 0.024790287017822266 time for calcul the mask position with numpy : 0.060097455978393555 nb_pixel_total : 29194 time to create 1 rle with old method : 0.04992365837097168 time for calcul the mask position with numpy : 0.037537574768066406 nb_pixel_total : 224611 time to create 1 rle with new method : 0.7070364952087402 time for calcul the mask position with numpy : 0.029596805572509766 nb_pixel_total : 12593 time to create 1 rle with old method : 0.014139890670776367 time for calcul the mask position with numpy : 0.029857873916625977 nb_pixel_total : 53254 time to create 1 rle with old method : 0.07930588722229004 time for calcul the mask position with numpy : 0.03324079513549805 nb_pixel_total : 28205 time to create 1 rle with old method : 0.032331228256225586 time for calcul the mask position with numpy : 0.029538869857788086 nb_pixel_total : 17071 time to create 1 rle with old method : 0.01891922950744629 time for calcul the mask position with numpy : 0.028395414352416992 nb_pixel_total : 11269 time to create 1 rle with old method : 0.012605667114257812 time for calcul the mask position with numpy : 0.02945423126220703 nb_pixel_total : 29952 time to create 1 rle with old method : 0.03339862823486328 time for calcul the mask position with numpy : 0.02943277359008789 nb_pixel_total : 25176 time to create 1 rle with old method : 0.028392553329467773 time for calcul the mask position with numpy : 0.029610633850097656 nb_pixel_total : 23127 time to create 1 rle with old method : 0.026173830032348633 time for calcul the mask position with numpy : 0.029132604598999023 nb_pixel_total : 10426 time to create 1 rle with old method : 0.011812686920166016 time for calcul the mask position with numpy : 0.029976844787597656 nb_pixel_total : 88280 time to create 1 rle with old method : 0.09884905815124512 time for calcul the mask position with numpy : 0.030406713485717773 nb_pixel_total : 79496 time to create 1 rle with old method : 0.08982586860656738 time for calcul the mask position with numpy : 0.034517765045166016 nb_pixel_total : 98975 time to create 1 rle with old method : 0.12283158302307129 time for calcul the mask position with numpy : 0.029323816299438477 nb_pixel_total : 2035 time to create 1 rle with old method : 0.002463817596435547 time for calcul the mask position with numpy : 0.029401302337646484 nb_pixel_total : 43147 time to create 1 rle with old method : 0.0492401123046875 time for calcul the mask position with numpy : 0.029554128646850586 nb_pixel_total : 56899 time to create 1 rle with old method : 0.06517457962036133 time for calcul the mask position with numpy : 0.02861166000366211 nb_pixel_total : 21888 time to create 1 rle with old method : 0.02432560920715332 time for calcul the mask position with numpy : 0.02965831756591797 nb_pixel_total : 116754 time to create 1 rle with old method : 0.13874173164367676 time for calcul the mask position with numpy : 0.04032397270202637 nb_pixel_total : 60892 time to create 1 rle with old method : 0.08005332946777344 time for calcul the mask position with numpy : 0.02990889549255371 nb_pixel_total : 8781 time to create 1 rle with old method : 0.010309219360351562 time for calcul the mask position with numpy : 0.030066967010498047 nb_pixel_total : 10992 time to create 1 rle with old method : 0.012563228607177734 time for calcul the mask position with numpy : 0.029822349548339844 nb_pixel_total : 75151 time to create 1 rle with old method : 0.0829153060913086 time for calcul the mask position with numpy : 0.028771638870239258 nb_pixel_total : 10684 time to create 1 rle with old method : 0.011952638626098633 time for calcul the mask position with numpy : 0.030742645263671875 nb_pixel_total : 10954 time to create 1 rle with old method : 0.012033462524414062 time for calcul the mask position with numpy : 0.030289888381958008 nb_pixel_total : 63747 time to create 1 rle with old method : 0.07693886756896973 time for calcul the mask position with numpy : 0.03278088569641113 nb_pixel_total : 5958 time to create 1 rle with old method : 0.006876468658447266 time for calcul the mask position with numpy : 0.02973794937133789 nb_pixel_total : 14225 time to create 1 rle with old method : 0.020668506622314453 create new chi : 5.003423452377319 time to delete rle : 0.008132457733154297 batch 1 Loaded 83 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 23342 TO DO : save crop sub photo not yet done ! save time : 2.108569383621216 nb_obj : 38 nb_hashtags : 4 time to prepare the origin masks : 4.190991640090942 time for calcul the mask position with numpy : 0.56028151512146 nb_pixel_total : 5973841 time to create 1 rle with new method : 0.8417980670928955 time for calcul the mask position with numpy : 0.033942222595214844 nb_pixel_total : 8058 time to create 1 rle with old method : 0.01326298713684082 time for calcul the mask position with numpy : 0.03604698181152344 nb_pixel_total : 7545 time to create 1 rle with old method : 0.012151718139648438 time for calcul the mask position with numpy : 0.040920257568359375 nb_pixel_total : 7326 time to create 1 rle with old method : 0.033907175064086914 time for calcul the mask position with numpy : 0.05240893363952637 nb_pixel_total : 28844 time to create 1 rle with old method : 0.04053306579589844 time for calcul the mask position with numpy : 0.0345463752746582 nb_pixel_total : 18193 time to create 1 rle with old method : 0.029788494110107422 time for calcul the mask position with numpy : 0.030055761337280273 nb_pixel_total : 8637 time to create 1 rle with old method : 0.00979471206665039 time for calcul the mask position with numpy : 0.033673763275146484 nb_pixel_total : 236708 time to create 1 rle with new method : 0.5003159046173096 time for calcul the mask position with numpy : 0.029134511947631836 nb_pixel_total : 2682 time to create 1 rle with old method : 0.00304412841796875 time for calcul the mask position with numpy : 0.029486894607543945 nb_pixel_total : 24232 time to create 1 rle with old method : 0.0291595458984375 time for calcul the mask position with numpy : 0.029375791549682617 nb_pixel_total : 7973 time to create 1 rle with old method : 0.00964212417602539 time for calcul the mask position with numpy : 0.030170917510986328 nb_pixel_total : 10599 time to create 1 rle with old method : 0.011772632598876953 time for calcul the mask position with numpy : 0.029451608657836914 nb_pixel_total : 60555 time to create 1 rle with old method : 0.06838750839233398 time for calcul the mask position with numpy : 0.03013467788696289 nb_pixel_total : 83012 time to create 1 rle with old method : 0.09472203254699707 time for calcul the mask position with numpy : 0.028992891311645508 nb_pixel_total : 16744 time to create 1 rle with old method : 0.018761873245239258 time for calcul the mask position with numpy : 0.02899312973022461 nb_pixel_total : 23116 time to create 1 rle with old method : 0.026320219039916992 time for calcul the mask position with numpy : 0.030278921127319336 nb_pixel_total : 49042 time to create 1 rle with old method : 0.059529781341552734 time for calcul the mask position with numpy : 0.03215146064758301 nb_pixel_total : 45806 time to create 1 rle with old method : 0.0755927562713623 time for calcul the mask position with numpy : 0.032773733139038086 nb_pixel_total : 10071 time to create 1 rle with old method : 0.011860847473144531 time for calcul the mask position with numpy : 0.029689788818359375 nb_pixel_total : 30047 time to create 1 rle with old method : 0.03355693817138672 time for calcul the mask position with numpy : 0.030083417892456055 nb_pixel_total : 203 time to create 1 rle with old method : 0.0004487037658691406 time for calcul the mask position with numpy : 0.030625343322753906 nb_pixel_total : 17194 time to create 1 rle with old method : 0.0190122127532959 time for calcul the mask position with numpy : 0.02973175048828125 nb_pixel_total : 14879 time to create 1 rle with old method : 0.0163424015045166 time for calcul the mask position with numpy : 0.0280611515045166 nb_pixel_total : 12022 time to create 1 rle with old method : 0.01310276985168457 time for calcul the mask position with numpy : 0.028712749481201172 nb_pixel_total : 7569 time to create 1 rle with old method : 0.008557558059692383 time for calcul the mask position with numpy : 0.029361724853515625 nb_pixel_total : 21143 time to create 1 rle with old method : 0.023769378662109375 time for calcul the mask position with numpy : 0.02948307991027832 nb_pixel_total : 33723 time to create 1 rle with old method : 0.04398679733276367 time for calcul the mask position with numpy : 0.0317995548248291 nb_pixel_total : 17214 time to create 1 rle with old method : 0.019783496856689453 time for calcul the mask position with numpy : 0.02932262420654297 nb_pixel_total : 32137 time to create 1 rle with old method : 0.03605341911315918 time for calcul the mask position with numpy : 0.028850555419921875 nb_pixel_total : 14696 time to create 1 rle with old method : 0.01604485511779785 time for calcul the mask position with numpy : 0.028312206268310547 nb_pixel_total : 2494 time to create 1 rle with old method : 0.0028603076934814453 time for calcul the mask position with numpy : 0.029201030731201172 nb_pixel_total : 16760 time to create 1 rle with old method : 0.018429279327392578 time for calcul the mask position with numpy : 0.02913832664489746 nb_pixel_total : 18455 time to create 1 rle with old method : 0.020899534225463867 time for calcul the mask position with numpy : 0.028145551681518555 nb_pixel_total : 12032 time to create 1 rle with old method : 0.013201713562011719 time for calcul the mask position with numpy : 0.030064105987548828 nb_pixel_total : 107168 time to create 1 rle with old method : 0.12098026275634766 time for calcul the mask position with numpy : 0.029308795928955078 nb_pixel_total : 23439 time to create 1 rle with old method : 0.026396751403808594 time for calcul the mask position with numpy : 0.028903961181640625 nb_pixel_total : 23171 time to create 1 rle with old method : 0.025539875030517578 time for calcul the mask position with numpy : 0.029903173446655273 nb_pixel_total : 11054 time to create 1 rle with old method : 0.012416601181030273 time for calcul the mask position with numpy : 0.030655384063720703 nb_pixel_total : 11856 time to create 1 rle with old method : 0.013554573059082031 create new chi : 4.199912786483765 time to delete rle : 0.004508256912231445 batch 1 Loaded 77 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 16848 TO DO : save crop sub photo not yet done ! save time : 1.3714911937713623 nb_obj : 27 nb_hashtags : 4 time to prepare the origin masks : 3.567509412765503 time for calcul the mask position with numpy : 0.3423917293548584 nb_pixel_total : 6242515 time to create 1 rle with new method : 0.7001094818115234 time for calcul the mask position with numpy : 0.027260541915893555 nb_pixel_total : 29083 time to create 1 rle with old method : 0.03015923500061035 time for calcul the mask position with numpy : 0.02743244171142578 nb_pixel_total : 42701 time to create 1 rle with old method : 0.06121420860290527 time for calcul the mask position with numpy : 0.03390908241271973 nb_pixel_total : 59572 time to create 1 rle with old method : 0.06319975852966309 time for calcul the mask position with numpy : 0.02794480323791504 nb_pixel_total : 21775 time to create 1 rle with old method : 0.024645090103149414 time for calcul the mask position with numpy : 0.028605222702026367 nb_pixel_total : 16214 time to create 1 rle with old method : 0.01784825325012207 time for calcul the mask position with numpy : 0.02823948860168457 nb_pixel_total : 7500 time to create 1 rle with old method : 0.00841379165649414 time for calcul the mask position with numpy : 0.02911210060119629 nb_pixel_total : 83780 time to create 1 rle with old method : 0.09339570999145508 time for calcul the mask position with numpy : 0.029412508010864258 nb_pixel_total : 28204 time to create 1 rle with old method : 0.03137516975402832 time for calcul the mask position with numpy : 0.030567407608032227 nb_pixel_total : 51424 time to create 1 rle with old method : 0.05673360824584961 time for calcul the mask position with numpy : 0.028934717178344727 nb_pixel_total : 27414 time to create 1 rle with old method : 0.030715465545654297 time for calcul the mask position with numpy : 0.028920650482177734 nb_pixel_total : 9758 time to create 1 rle with old method : 0.01062154769897461 time for calcul the mask position with numpy : 0.0274658203125 nb_pixel_total : 53867 time to create 1 rle with old method : 0.05852055549621582 time for calcul the mask position with numpy : 0.029167652130126953 nb_pixel_total : 61520 time to create 1 rle with old method : 0.06822609901428223 time for calcul the mask position with numpy : 0.028650760650634766 nb_pixel_total : 51952 time to create 1 rle with old method : 0.05758404731750488 time for calcul the mask position with numpy : 0.02911663055419922 nb_pixel_total : 8545 time to create 1 rle with old method : 0.009616851806640625 time for calcul the mask position with numpy : 0.03195047378540039 nb_pixel_total : 62388 time to create 1 rle with old method : 0.0765385627746582 time for calcul the mask position with numpy : 0.029117822647094727 nb_pixel_total : 14665 time to create 1 rle with old method : 0.016391992568969727 time for calcul the mask position with numpy : 0.029170751571655273 nb_pixel_total : 3829 time to create 1 rle with old method : 0.00431513786315918 time for calcul the mask position with numpy : 0.02895522117614746 nb_pixel_total : 56971 time to create 1 rle with old method : 0.062129974365234375 time for calcul the mask position with numpy : 0.030135393142700195 nb_pixel_total : 10792 time to create 1 rle with old method : 0.012146472930908203 time for calcul the mask position with numpy : 0.029290437698364258 nb_pixel_total : 24889 time to create 1 rle with old method : 0.027850627899169922 time for calcul the mask position with numpy : 0.029425382614135742 nb_pixel_total : 4164 time to create 1 rle with old method : 0.004721879959106445 time for calcul the mask position with numpy : 0.02911376953125 nb_pixel_total : 14584 time to create 1 rle with old method : 0.01640152931213379 time for calcul the mask position with numpy : 0.029048919677734375 nb_pixel_total : 16275 time to create 1 rle with old method : 0.018314123153686523 time for calcul the mask position with numpy : 0.02895355224609375 nb_pixel_total : 29654 time to create 1 rle with old method : 0.03340315818786621 time for calcul the mask position with numpy : 0.028952836990356445 nb_pixel_total : 6717 time to create 1 rle with old method : 0.0074765682220458984 time for calcul the mask position with numpy : 0.028834104537963867 nb_pixel_total : 9488 time to create 1 rle with old method : 0.010753154754638672 create new chi : 2.7758729457855225 time to delete rle : 0.002672433853149414 batch 1 Loaded 55 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 16446 TO DO : save crop sub photo not yet done ! save time : 1.3482146263122559 nb_obj : 30 nb_hashtags : 5 time to prepare the origin masks : 4.367759943008423 time for calcul the mask position with numpy : 1.7432236671447754 nb_pixel_total : 5139024 time to create 1 rle with new method : 0.6822452545166016 time for calcul the mask position with numpy : 0.03300642967224121 nb_pixel_total : 2784 time to create 1 rle with old method : 0.0032672882080078125 time for calcul the mask position with numpy : 0.030190229415893555 nb_pixel_total : 22561 time to create 1 rle with old method : 0.025633573532104492 time for calcul the mask position with numpy : 0.03141379356384277 nb_pixel_total : 165624 time to create 1 rle with new method : 0.4140594005584717 time for calcul the mask position with numpy : 0.0320737361907959 nb_pixel_total : 19843 time to create 1 rle with old method : 0.02231574058532715 time for calcul the mask position with numpy : 0.03036952018737793 nb_pixel_total : 36939 time to create 1 rle with old method : 0.04065346717834473 time for calcul the mask position with numpy : 0.028886795043945312 nb_pixel_total : 14465 time to create 1 rle with old method : 0.01596355438232422 time for calcul the mask position with numpy : 0.02914738655090332 nb_pixel_total : 85407 time to create 1 rle with old method : 0.0942230224609375 time for calcul the mask position with numpy : 0.029130220413208008 nb_pixel_total : 46409 time to create 1 rle with old method : 0.05150294303894043 time for calcul the mask position with numpy : 0.028992652893066406 nb_pixel_total : 26846 time to create 1 rle with old method : 0.029499530792236328 time for calcul the mask position with numpy : 0.029021501541137695 nb_pixel_total : 18969 time to create 1 rle with old method : 0.021335840225219727 time for calcul the mask position with numpy : 0.03099966049194336 nb_pixel_total : 257621 time to create 1 rle with new method : 0.5505666732788086 time for calcul the mask position with numpy : 0.031690120697021484 nb_pixel_total : 404296 time to create 1 rle with new method : 0.4976043701171875 time for calcul the mask position with numpy : 0.028458833694458008 nb_pixel_total : 27066 time to create 1 rle with old method : 0.029267311096191406 time for calcul the mask position with numpy : 0.02839517593383789 nb_pixel_total : 53484 time to create 1 rle with old method : 0.0581207275390625 time for calcul the mask position with numpy : 0.028694629669189453 nb_pixel_total : 61803 time to create 1 rle with old method : 0.06930971145629883 time for calcul the mask position with numpy : 0.02830815315246582 nb_pixel_total : 72301 time to create 1 rle with old method : 0.07794404029846191 time for calcul the mask position with numpy : 0.028734922409057617 nb_pixel_total : 80498 time to create 1 rle with old method : 0.08947610855102539 time for calcul the mask position with numpy : 0.02900409698486328 nb_pixel_total : 10883 time to create 1 rle with old method : 0.01216888427734375 time for calcul the mask position with numpy : 0.029145002365112305 nb_pixel_total : 107717 time to create 1 rle with old method : 0.11522531509399414 time for calcul the mask position with numpy : 0.02854442596435547 nb_pixel_total : 50091 time to create 1 rle with old method : 0.05330204963684082 time for calcul the mask position with numpy : 0.027938365936279297 nb_pixel_total : 19028 time to create 1 rle with old method : 0.020644187927246094 time for calcul the mask position with numpy : 0.02830362319946289 nb_pixel_total : 9009 time to create 1 rle with old method : 0.009908437728881836 time for calcul the mask position with numpy : 0.02955937385559082 nb_pixel_total : 69292 time to create 1 rle with old method : 0.0847630500793457 time for calcul the mask position with numpy : 0.029295682907104492 nb_pixel_total : 47732 time to create 1 rle with old method : 0.053019046783447266 time for calcul the mask position with numpy : 0.029143571853637695 nb_pixel_total : 41091 time to create 1 rle with old method : 0.045757293701171875 time for calcul the mask position with numpy : 0.029615402221679688 nb_pixel_total : 126930 time to create 1 rle with old method : 0.1452631950378418 time for calcul the mask position with numpy : 0.029120206832885742 nb_pixel_total : 6201 time to create 1 rle with old method : 0.006936788558959961 time for calcul the mask position with numpy : 0.029083967208862305 nb_pixel_total : 7007 time to create 1 rle with old method : 0.007865190505981445 time for calcul the mask position with numpy : 0.029187917709350586 nb_pixel_total : 8593 time to create 1 rle with old method : 0.009878873825073242 time for calcul the mask position with numpy : 0.03026127815246582 nb_pixel_total : 10726 time to create 1 rle with old method : 0.011998891830444336 create new chi : 6.109219074249268 time to delete rle : 0.0033762454986572266 batch 1 Loaded 61 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++Number RLEs to save : 18960 TO DO : save crop sub photo not yet done ! save time : 1.3944921493530273 nb_obj : 58 nb_hashtags : 4 time to prepare the origin masks : 4.113096237182617 time for calcul the mask position with numpy : 0.42965078353881836 nb_pixel_total : 5722864 time to create 1 rle with new method : 0.581557035446167 time for calcul the mask position with numpy : 0.028493642807006836 nb_pixel_total : 31252 time to create 1 rle with old method : 0.03452301025390625 time for calcul the mask position with numpy : 0.02868485450744629 nb_pixel_total : 28030 time to create 1 rle with old method : 0.030276775360107422 time for calcul the mask position with numpy : 0.027516841888427734 nb_pixel_total : 17705 time to create 1 rle with old method : 0.02074432373046875 time for calcul the mask position with numpy : 0.02855825424194336 nb_pixel_total : 18443 time to create 1 rle with old method : 0.020220279693603516 time for calcul the mask position with numpy : 0.028563976287841797 nb_pixel_total : 17136 time to create 1 rle with old method : 0.019012451171875 time for calcul the mask position with numpy : 0.02845025062561035 nb_pixel_total : 12190 time to create 1 rle with old method : 0.013273954391479492 time for calcul the mask position with numpy : 0.02894282341003418 nb_pixel_total : 26744 time to create 1 rle with old method : 0.030052900314331055 time for calcul the mask position with numpy : 0.029376506805419922 nb_pixel_total : 26181 time to create 1 rle with old method : 0.028160810470581055 time for calcul the mask position with numpy : 0.027861833572387695 nb_pixel_total : 14165 time to create 1 rle with old method : 0.015806198120117188 time for calcul the mask position with numpy : 0.028419017791748047 nb_pixel_total : 18723 time to create 1 rle with old method : 0.0202789306640625 time for calcul the mask position with numpy : 0.02766561508178711 nb_pixel_total : 4861 time to create 1 rle with old method : 0.005215644836425781 time for calcul the mask position with numpy : 0.02891063690185547 nb_pixel_total : 24609 time to create 1 rle with old method : 0.02699589729309082 time for calcul the mask position with numpy : 0.029827117919921875 nb_pixel_total : 7221 time to create 1 rle with old method : 0.00803518295288086 time for calcul the mask position with numpy : 0.027917861938476562 nb_pixel_total : 26444 time to create 1 rle with old method : 0.029123306274414062 time for calcul the mask position with numpy : 0.028455257415771484 nb_pixel_total : 10587 time to create 1 rle with old method : 0.011725664138793945 time for calcul the mask position with numpy : 0.02843952178955078 nb_pixel_total : 23344 time to create 1 rle with old method : 0.025440692901611328 time for calcul the mask position with numpy : 0.02911090850830078 nb_pixel_total : 31287 time to create 1 rle with old method : 0.03530263900756836 time for calcul the mask position with numpy : 0.03158211708068848 nb_pixel_total : 21611 time to create 1 rle with old method : 0.02406167984008789 time for calcul the mask position with numpy : 0.028756380081176758 nb_pixel_total : 19400 time to create 1 rle with old method : 0.020946741104125977 time for calcul the mask position with numpy : 0.027686119079589844 nb_pixel_total : 7883 time to create 1 rle with old method : 0.008723735809326172 time for calcul the mask position with numpy : 0.02863597869873047 nb_pixel_total : 21211 time to create 1 rle with old method : 0.023192167282104492 time for calcul the mask position with numpy : 0.030263900756835938 nb_pixel_total : 82289 time to create 1 rle with old method : 0.09297537803649902 time for calcul the mask position with numpy : 0.02882099151611328 nb_pixel_total : 25562 time to create 1 rle with old method : 0.0277864933013916 time for calcul the mask position with numpy : 0.028910160064697266 nb_pixel_total : 41622 time to create 1 rle with old method : 0.045562028884887695 time for calcul the mask position with numpy : 0.02866196632385254 nb_pixel_total : 35672 time to create 1 rle with old method : 0.04181671142578125 time for calcul the mask position with numpy : 0.029429912567138672 nb_pixel_total : 15462 time to create 1 rle with old method : 0.017261266708374023 time for calcul the mask position with numpy : 0.02910780906677246 nb_pixel_total : 7651 time to create 1 rle with old method : 0.008739471435546875 time for calcul the mask position with numpy : 0.0292508602142334 nb_pixel_total : 20672 time to create 1 rle with old method : 0.022951602935791016 time for calcul the mask position with numpy : 0.029689788818359375 nb_pixel_total : 23459 time to create 1 rle with old method : 0.025342464447021484 time for calcul the mask position with numpy : 0.02877664566040039 nb_pixel_total : 41105 time to create 1 rle with old method : 0.04465317726135254 time for calcul the mask position with numpy : 0.028337478637695312 nb_pixel_total : 32543 time to create 1 rle with old method : 0.035659074783325195 time for calcul the mask position with numpy : 0.029030799865722656 nb_pixel_total : 38407 time to create 1 rle with old method : 0.042719364166259766 time for calcul the mask position with numpy : 0.02865433692932129 nb_pixel_total : 29084 time to create 1 rle with old method : 0.03278160095214844 time for calcul the mask position with numpy : 0.02826070785522461 nb_pixel_total : 21599 time to create 1 rle with old method : 0.0235595703125 time for calcul the mask position with numpy : 0.028801679611206055 nb_pixel_total : 53289 time to create 1 rle with old method : 0.08064961433410645 time for calcul the mask position with numpy : 0.030215740203857422 nb_pixel_total : 46889 time to create 1 rle with old method : 0.05193734169006348 time for calcul the mask position with numpy : 0.030394792556762695 nb_pixel_total : 38622 time to create 1 rle with old method : 0.043244123458862305 time for calcul the mask position with numpy : 0.029221057891845703 nb_pixel_total : 43022 time to create 1 rle with old method : 0.047853946685791016 time for calcul the mask position with numpy : 0.029083967208862305 nb_pixel_total : 10822 time to create 1 rle with old method : 0.013067245483398438 time for calcul the mask position with numpy : 0.029634952545166016 nb_pixel_total : 12736 time to create 1 rle with old method : 0.014093875885009766 time for calcul the mask position with numpy : 0.032004356384277344 nb_pixel_total : 7346 time to create 1 rle with old method : 0.012914657592773438 time for calcul the mask position with numpy : 0.03685259819030762 nb_pixel_total : 15154 time to create 1 rle with old method : 0.027568578720092773 time for calcul the mask position with numpy : 0.02905750274658203 nb_pixel_total : 20205 time to create 1 rle with old method : 0.022327899932861328 time for calcul the mask position with numpy : 0.02841973304748535 nb_pixel_total : 95018 time to create 1 rle with old method : 0.1072242259979248 time for calcul the mask position with numpy : 0.028649568557739258 nb_pixel_total : 11071 time to create 1 rle with old method : 0.012307882308959961 time for calcul the mask position with numpy : 0.02846050262451172 nb_pixel_total : 21821 time to create 1 rle with old method : 0.02351212501525879 time for calcul the mask position with numpy : 0.028084754943847656 nb_pixel_total : 15409 time to create 1 rle with old method : 0.01690673828125 time for calcul the mask position with numpy : 0.02845931053161621 nb_pixel_total : 5764 time to create 1 rle with old method : 0.006505489349365234 time for calcul the mask position with numpy : 0.028844118118286133 nb_pixel_total : 7171 time to create 1 rle with old method : 0.009109020233154297 time for calcul the mask position with numpy : 0.028628110885620117 nb_pixel_total : 18280 time to create 1 rle with old method : 0.019954442977905273 time for calcul the mask position with numpy : 0.028363466262817383 nb_pixel_total : 2184 time to create 1 rle with old method : 0.002444744110107422 time for calcul the mask position with numpy : 0.028106689453125 nb_pixel_total : 30070 time to create 1 rle with old method : 0.03297305107116699 time for calcul the mask position with numpy : 0.028464078903198242 nb_pixel_total : 19369 time to create 1 rle with old method : 0.021233558654785156 time for calcul the mask position with numpy : 0.028795480728149414 nb_pixel_total : 8422 time to create 1 rle with old method : 0.010593652725219727 time for calcul the mask position with numpy : 0.028321504592895508 nb_pixel_total : 6172 time to create 1 rle with old method : 0.006930828094482422 time for calcul the mask position with numpy : 0.03132343292236328 nb_pixel_total : 1094 time to create 1 rle with old method : 0.0013930797576904297 time for calcul the mask position with numpy : 0.028794527053833008 nb_pixel_total : 3383 time to create 1 rle with old method : 0.0037004947662353516 time for calcul the mask position with numpy : 0.027933597564697266 nb_pixel_total : 9909 time to create 1 rle with old method : 0.01076364517211914 create new chi : 4.246201753616333 time to delete rle : 0.0071506500244140625 batch 1 Loaded 117 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 25717 TO DO : save crop sub photo not yet done ! save time : 3.320720911026001 nb_obj : 65 nb_hashtags : 2 time to prepare the origin masks : 4.506425619125366 time for calcul the mask position with numpy : 0.5397944450378418 nb_pixel_total : 5254082 time to create 1 rle with new method : 0.741814374923706 time for calcul the mask position with numpy : 0.02892899513244629 nb_pixel_total : 27270 time to create 1 rle with old method : 0.03126120567321777 time for calcul the mask position with numpy : 0.030939340591430664 nb_pixel_total : 25091 time to create 1 rle with old method : 0.029899120330810547 time for calcul the mask position with numpy : 0.03212881088256836 nb_pixel_total : 231199 time to create 1 rle with new method : 0.755638599395752 time for calcul the mask position with numpy : 0.037035465240478516 nb_pixel_total : 7082 time to create 1 rle with old method : 0.008086919784545898 time for calcul the mask position with numpy : 0.03165936470031738 nb_pixel_total : 7506 time to create 1 rle with old method : 0.008697271347045898 time for calcul the mask position with numpy : 0.031588077545166016 nb_pixel_total : 21990 time to create 1 rle with old method : 0.0254819393157959 time for calcul the mask position with numpy : 0.029534339904785156 nb_pixel_total : 42816 time to create 1 rle with old method : 0.05033755302429199 time for calcul the mask position with numpy : 0.02984142303466797 nb_pixel_total : 19684 time to create 1 rle with old method : 0.022360563278198242 time for calcul the mask position with numpy : 0.035077571868896484 nb_pixel_total : 26630 time to create 1 rle with old method : 0.029714345932006836 time for calcul the mask position with numpy : 0.03128647804260254 nb_pixel_total : 22559 time to create 1 rle with old method : 0.026161670684814453 time for calcul the mask position with numpy : 0.02949213981628418 nb_pixel_total : 24983 time to create 1 rle with old method : 0.029735565185546875 time for calcul the mask position with numpy : 0.029313325881958008 nb_pixel_total : 8955 time to create 1 rle with old method : 0.01014089584350586 time for calcul the mask position with numpy : 0.02899956703186035 nb_pixel_total : 5203 time to create 1 rle with old method : 0.005872488021850586 time for calcul the mask position with numpy : 0.02844381332397461 nb_pixel_total : 32820 time to create 1 rle with old method : 0.04109072685241699 time for calcul the mask position with numpy : 0.03053760528564453 nb_pixel_total : 24823 time to create 1 rle with old method : 0.027957439422607422 time for calcul the mask position with numpy : 0.028913021087646484 nb_pixel_total : 39189 time to create 1 rle with old method : 0.043929100036621094 time for calcul the mask position with numpy : 0.02920675277709961 nb_pixel_total : 9348 time to create 1 rle with old method : 0.010640382766723633 time for calcul the mask position with numpy : 0.029644012451171875 nb_pixel_total : 43400 time to create 1 rle with old method : 0.0509035587310791 time for calcul the mask position with numpy : 0.03053140640258789 nb_pixel_total : 14284 time to create 1 rle with old method : 0.016021013259887695 time for calcul the mask position with numpy : 0.030377626419067383 nb_pixel_total : 26078 time to create 1 rle with old method : 0.04076790809631348 time for calcul the mask position with numpy : 0.03451347351074219 nb_pixel_total : 12367 time to create 1 rle with old method : 0.013987541198730469 time for calcul the mask position with numpy : 0.028878450393676758 nb_pixel_total : 23210 time to create 1 rle with old method : 0.025622129440307617 time for calcul the mask position with numpy : 0.02870345115661621 nb_pixel_total : 37781 time to create 1 rle with old method : 0.043517351150512695 time for calcul the mask position with numpy : 0.029017925262451172 nb_pixel_total : 36301 time to create 1 rle with old method : 0.04038047790527344 time for calcul the mask position with numpy : 0.029104948043823242 nb_pixel_total : 20064 time to create 1 rle with old method : 0.029436826705932617 time for calcul the mask position with numpy : 0.03648781776428223 nb_pixel_total : 26313 time to create 1 rle with old method : 0.046779632568359375 time for calcul the mask position with numpy : 0.035782814025878906 nb_pixel_total : 20132 time to create 1 rle with old method : 0.022681474685668945 time for calcul the mask position with numpy : 0.029225826263427734 nb_pixel_total : 11002 time to create 1 rle with old method : 0.012714385986328125 time for calcul the mask position with numpy : 0.031102418899536133 nb_pixel_total : 117124 time to create 1 rle with old method : 0.13043212890625 time for calcul the mask position with numpy : 0.02992701530456543 nb_pixel_total : 13114 time to create 1 rle with old method : 0.014654874801635742 time for calcul the mask position with numpy : 0.02949690818786621 nb_pixel_total : 57582 time to create 1 rle with old method : 0.07502460479736328 time for calcul the mask position with numpy : 0.03301119804382324 nb_pixel_total : 66403 time to create 1 rle with old method : 0.07871079444885254 time for calcul the mask position with numpy : 0.02864360809326172 nb_pixel_total : 27373 time to create 1 rle with old method : 0.030284404754638672 time for calcul the mask position with numpy : 0.02919602394104004 nb_pixel_total : 25863 time to create 1 rle with old method : 0.028724193572998047 time for calcul the mask position with numpy : 0.02935171127319336 nb_pixel_total : 10559 time to create 1 rle with old method : 0.011721134185791016 time for calcul the mask position with numpy : 0.029465913772583008 nb_pixel_total : 402 time to create 1 rle with old method : 0.0006861686706542969 time for calcul the mask position with numpy : 0.029727697372436523 nb_pixel_total : 14160 time to create 1 rle with old method : 0.015900850296020508 time for calcul the mask position with numpy : 0.032327890396118164 nb_pixel_total : 11819 time to create 1 rle with old method : 0.01341700553894043 time for calcul the mask position with numpy : 0.029090166091918945 nb_pixel_total : 35037 time to create 1 rle with old method : 0.03953671455383301 time for calcul the mask position with numpy : 0.029129743576049805 nb_pixel_total : 20325 time to create 1 rle with old method : 0.022951364517211914 time for calcul the mask position with numpy : 0.029346466064453125 nb_pixel_total : 19296 time to create 1 rle with old method : 0.02146172523498535 time for calcul the mask position with numpy : 0.028956174850463867 nb_pixel_total : 26348 time to create 1 rle with old method : 0.029625654220581055 time for calcul the mask position with numpy : 0.02892613410949707 nb_pixel_total : 21118 time to create 1 rle with old method : 0.023535966873168945 time for calcul the mask position with numpy : 0.028975963592529297 nb_pixel_total : 15871 time to create 1 rle with old method : 0.017765522003173828 time for calcul the mask position with numpy : 0.02882218360900879 nb_pixel_total : 38673 time to create 1 rle with old method : 0.04324054718017578 time for calcul the mask position with numpy : 0.029045820236206055 nb_pixel_total : 34933 time to create 1 rle with old method : 0.04852771759033203 time for calcul the mask position with numpy : 0.032918691635131836 nb_pixel_total : 10425 time to create 1 rle with old method : 0.017022371292114258 time for calcul the mask position with numpy : 0.030517101287841797 nb_pixel_total : 5933 time to create 1 rle with old method : 0.008860588073730469 time for calcul the mask position with numpy : 0.029465436935424805 nb_pixel_total : 29633 time to create 1 rle with old method : 0.034399986267089844 time for calcul the mask position with numpy : 0.02974724769592285 nb_pixel_total : 4559 time to create 1 rle with old method : 0.005272626876831055 time for calcul the mask position with numpy : 0.03063178062438965 nb_pixel_total : 35922 time to create 1 rle with old method : 0.044040679931640625 time for calcul the mask position with numpy : 0.033069610595703125 nb_pixel_total : 7272 time to create 1 rle with old method : 0.011831521987915039 time for calcul the mask position with numpy : 0.032819271087646484 nb_pixel_total : 16365 time to create 1 rle with old method : 0.018385648727416992 time for calcul the mask position with numpy : 0.02897787094116211 nb_pixel_total : 17222 time to create 1 rle with old method : 0.01927924156188965 time for calcul the mask position with numpy : 0.028935909271240234 nb_pixel_total : 1974 time to create 1 rle with old method : 0.002310514450073242 time for calcul the mask position with numpy : 0.02900242805480957 nb_pixel_total : 11684 time to create 1 rle with old method : 0.013129472732543945 time for calcul the mask position with numpy : 0.029220104217529297 nb_pixel_total : 89195 time to create 1 rle with old method : 0.0991814136505127 time for calcul the mask position with numpy : 0.028755903244018555 nb_pixel_total : 15711 time to create 1 rle with old method : 0.017458200454711914 time for calcul the mask position with numpy : 0.028803586959838867 nb_pixel_total : 6656 time to create 1 rle with old method : 0.007439374923706055 time for calcul the mask position with numpy : 0.028699874877929688 nb_pixel_total : 29941 time to create 1 rle with old method : 0.033203125 time for calcul the mask position with numpy : 0.029346227645874023 nb_pixel_total : 45691 time to create 1 rle with old method : 0.053924560546875 time for calcul the mask position with numpy : 0.0290834903717041 nb_pixel_total : 9928 time to create 1 rle with old method : 0.011399984359741211 time for calcul the mask position with numpy : 0.030497312545776367 nb_pixel_total : 15682 time to create 1 rle with old method : 0.018299341201782227 time for calcul the mask position with numpy : 0.036127567291259766 nb_pixel_total : 25999 time to create 1 rle with old method : 0.02968001365661621 time for calcul the mask position with numpy : 0.029977083206176758 nb_pixel_total : 12286 time to create 1 rle with old method : 0.01339101791381836 create new chi : 5.932926177978516 time to delete rle : 0.00485992431640625 batch 1 Loaded 132 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 30439 TO DO : save crop sub photo not yet done ! save time : 5.714603900909424 nb_obj : 66 nb_hashtags : 4 time to prepare the origin masks : 4.398824214935303 time for calcul the mask position with numpy : 0.32528018951416016 nb_pixel_total : 5419382 time to create 1 rle with new method : 0.9902660846710205 time for calcul the mask position with numpy : 0.031024932861328125 nb_pixel_total : 7800 time to create 1 rle with old method : 0.009181737899780273 time for calcul the mask position with numpy : 0.028942584991455078 nb_pixel_total : 36595 time to create 1 rle with old method : 0.04059791564941406 time for calcul the mask position with numpy : 0.03677558898925781 nb_pixel_total : 74873 time to create 1 rle with old method : 0.0853738784790039 time for calcul the mask position with numpy : 0.03372526168823242 nb_pixel_total : 25931 time to create 1 rle with old method : 0.07520365715026855 time for calcul the mask position with numpy : 0.04476118087768555 nb_pixel_total : 17198 time to create 1 rle with old method : 0.0318911075592041 time for calcul the mask position with numpy : 0.07888936996459961 nb_pixel_total : 6345 time to create 1 rle with old method : 0.011535167694091797 time for calcul the mask position with numpy : 0.09102201461791992 nb_pixel_total : 12348 time to create 1 rle with old method : 0.016355276107788086 time for calcul the mask position with numpy : 0.030371665954589844 nb_pixel_total : 32824 time to create 1 rle with old method : 0.040639638900756836 time for calcul the mask position with numpy : 0.029855012893676758 nb_pixel_total : 37332 time to create 1 rle with old method : 0.0455322265625 time for calcul the mask position with numpy : 0.029802322387695312 nb_pixel_total : 23521 time to create 1 rle with old method : 0.028233051300048828 time for calcul the mask position with numpy : 0.03147006034851074 nb_pixel_total : 4715 time to create 1 rle with old method : 0.005346775054931641 time for calcul the mask position with numpy : 0.03008413314819336 nb_pixel_total : 18209 time to create 1 rle with old method : 0.02105545997619629 time for calcul the mask position with numpy : 0.0307464599609375 nb_pixel_total : 26921 time to create 1 rle with old method : 0.034044742584228516 time for calcul the mask position with numpy : 0.029988765716552734 nb_pixel_total : 29940 time to create 1 rle with old method : 0.033711910247802734 time for calcul the mask position with numpy : 0.02974987030029297 nb_pixel_total : 12769 time to create 1 rle with old method : 0.017981529235839844 time for calcul the mask position with numpy : 0.030089139938354492 nb_pixel_total : 19104 time to create 1 rle with old method : 0.022334575653076172 time for calcul the mask position with numpy : 0.031449317932128906 nb_pixel_total : 45419 time to create 1 rle with old method : 0.05288434028625488 time for calcul the mask position with numpy : 0.029454946517944336 nb_pixel_total : 20750 time to create 1 rle with old method : 0.02347254753112793 time for calcul the mask position with numpy : 0.029447555541992188 nb_pixel_total : 30759 time to create 1 rle with old method : 0.035003662109375 time for calcul the mask position with numpy : 0.02946329116821289 nb_pixel_total : 17700 time to create 1 rle with old method : 0.019906997680664062 time for calcul the mask position with numpy : 0.03008103370666504 nb_pixel_total : 1031 time to create 1 rle with old method : 0.0013737678527832031 time for calcul the mask position with numpy : 0.029387474060058594 nb_pixel_total : 17132 time to create 1 rle with old method : 0.019112586975097656 time for calcul the mask position with numpy : 0.0337979793548584 nb_pixel_total : 20893 time to create 1 rle with old method : 0.03066229820251465 time for calcul the mask position with numpy : 0.03188443183898926 nb_pixel_total : 9669 time to create 1 rle with old method : 0.010880470275878906 time for calcul the mask position with numpy : 0.029148101806640625 nb_pixel_total : 29805 time to create 1 rle with old method : 0.04184269905090332 time for calcul the mask position with numpy : 0.0368344783782959 nb_pixel_total : 40274 time to create 1 rle with old method : 0.06080937385559082 time for calcul the mask position with numpy : 0.02910590171813965 nb_pixel_total : 19563 time to create 1 rle with old method : 0.021817922592163086 time for calcul the mask position with numpy : 0.029095172882080078 nb_pixel_total : 101895 time to create 1 rle with old method : 0.11410951614379883 time for calcul the mask position with numpy : 0.030324459075927734 nb_pixel_total : 36209 time to create 1 rle with old method : 0.040273427963256836 time for calcul the mask position with numpy : 0.02929520606994629 nb_pixel_total : 15324 time to create 1 rle with old method : 0.01703953742980957 time for calcul the mask position with numpy : 0.030260801315307617 nb_pixel_total : 19894 time to create 1 rle with old method : 0.0330357551574707 time for calcul the mask position with numpy : 0.033447980880737305 nb_pixel_total : 51851 time to create 1 rle with old method : 0.06099057197570801 time for calcul the mask position with numpy : 0.029490232467651367 nb_pixel_total : 60434 time to create 1 rle with old method : 0.06722640991210938 time for calcul the mask position with numpy : 0.029816150665283203 nb_pixel_total : 31506 time to create 1 rle with old method : 0.035274505615234375 time for calcul the mask position with numpy : 0.029815673828125 nb_pixel_total : 22587 time to create 1 rle with old method : 0.025446653366088867 time for calcul the mask position with numpy : 0.029896974563598633 nb_pixel_total : 20154 time to create 1 rle with old method : 0.023066043853759766 time for calcul the mask position with numpy : 0.029580116271972656 nb_pixel_total : 13734 time to create 1 rle with old method : 0.015479803085327148 time for calcul the mask position with numpy : 0.029088735580444336 nb_pixel_total : 12036 time to create 1 rle with old method : 0.01376485824584961 time for calcul the mask position with numpy : 0.028990745544433594 nb_pixel_total : 13589 time to create 1 rle with old method : 0.01518106460571289 time for calcul the mask position with numpy : 0.033986568450927734 nb_pixel_total : 57017 time to create 1 rle with old method : 0.0821828842163086 time for calcul the mask position with numpy : 0.03197002410888672 nb_pixel_total : 19034 time to create 1 rle with old method : 0.021318674087524414 time for calcul the mask position with numpy : 0.028979063034057617 nb_pixel_total : 20787 time to create 1 rle with old method : 0.023258686065673828 time for calcul the mask position with numpy : 0.0289762020111084 nb_pixel_total : 49652 time to create 1 rle with old method : 0.09038305282592773 time for calcul the mask position with numpy : 0.05005764961242676 nb_pixel_total : 56446 time to create 1 rle with old method : 0.07074856758117676 time for calcul the mask position with numpy : 0.02978372573852539 nb_pixel_total : 10718 time to create 1 rle with old method : 0.012039899826049805 time for calcul the mask position with numpy : 0.029360532760620117 nb_pixel_total : 12457 time to create 1 rle with old method : 0.014016866683959961 time for calcul the mask position with numpy : 0.029239177703857422 nb_pixel_total : 3711 time to create 1 rle with old method : 0.004218101501464844 time for calcul the mask position with numpy : 0.030284643173217773 nb_pixel_total : 14137 time to create 1 rle with old method : 0.030409574508666992 time for calcul the mask position with numpy : 0.05582284927368164 nb_pixel_total : 11818 time to create 1 rle with old method : 0.018969058990478516 time for calcul the mask position with numpy : 0.03128314018249512 nb_pixel_total : 19601 time to create 1 rle with old method : 0.023216962814331055 time for calcul the mask position with numpy : 0.030691862106323242 nb_pixel_total : 36555 time to create 1 rle with old method : 0.05846238136291504 time for calcul the mask position with numpy : 0.031339406967163086 nb_pixel_total : 11836 time to create 1 rle with old method : 0.014224767684936523 time for calcul the mask position with numpy : 0.031423091888427734 nb_pixel_total : 17023 time to create 1 rle with old method : 0.019070148468017578 time for calcul the mask position with numpy : 0.029674053192138672 nb_pixel_total : 24286 time to create 1 rle with old method : 0.027374744415283203 time for calcul the mask position with numpy : 0.029499530792236328 nb_pixel_total : 48328 time to create 1 rle with old method : 0.054876089096069336 time for calcul the mask position with numpy : 0.02912116050720215 nb_pixel_total : 20648 time to create 1 rle with old method : 0.023234128952026367 time for calcul the mask position with numpy : 0.029760360717773438 nb_pixel_total : 12768 time to create 1 rle with old method : 0.014487266540527344 time for calcul the mask position with numpy : 0.0293729305267334 nb_pixel_total : 43325 time to create 1 rle with old method : 0.04903388023376465 time for calcul the mask position with numpy : 0.029353857040405273 nb_pixel_total : 20478 time to create 1 rle with old method : 0.023259401321411133 time for calcul the mask position with numpy : 0.029135465621948242 nb_pixel_total : 35345 time to create 1 rle with old method : 0.044684648513793945 time for calcul the mask position with numpy : 0.04019641876220703 nb_pixel_total : 4662 time to create 1 rle with old method : 0.005285978317260742 time for calcul the mask position with numpy : 0.029662132263183594 nb_pixel_total : 9086 time to create 1 rle with old method : 0.010288238525390625 time for calcul the mask position with numpy : 0.030100345611572266 nb_pixel_total : 14282 time to create 1 rle with old method : 0.01606297492980957 time for calcul the mask position with numpy : 0.03000807762145996 nb_pixel_total : 10374 time to create 1 rle with old method : 0.011783361434936523 time for calcul the mask position with numpy : 0.029670238494873047 nb_pixel_total : 4075 time to create 1 rle with old method : 0.004716157913208008 time for calcul the mask position with numpy : 0.03391242027282715 nb_pixel_total : 3776 time to create 1 rle with old method : 0.0060198307037353516 create new chi : 5.616358995437622 time to delete rle : 0.011358976364135742 batch 1 Loaded 133 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 29779 TO DO : save crop sub photo not yet done ! save time : 6.934245586395264 nb_obj : 48 nb_hashtags : 4 time to prepare the origin masks : 4.158313512802124 time for calcul the mask position with numpy : 0.5976912975311279 nb_pixel_total : 5687283 time to create 1 rle with new method : 0.654606819152832 time for calcul the mask position with numpy : 0.02920246124267578 nb_pixel_total : 11070 time to create 1 rle with old method : 0.012555122375488281 time for calcul the mask position with numpy : 0.029059648513793945 nb_pixel_total : 6766 time to create 1 rle with old method : 0.0075685977935791016 time for calcul the mask position with numpy : 0.029272794723510742 nb_pixel_total : 23161 time to create 1 rle with old method : 0.025855302810668945 time for calcul the mask position with numpy : 0.029683589935302734 nb_pixel_total : 11445 time to create 1 rle with old method : 0.013116121292114258 time for calcul the mask position with numpy : 0.02947831153869629 nb_pixel_total : 20679 time to create 1 rle with old method : 0.023258686065673828 time for calcul the mask position with numpy : 0.033248186111450195 nb_pixel_total : 37169 time to create 1 rle with old method : 0.04225873947143555 time for calcul the mask position with numpy : 0.03014659881591797 nb_pixel_total : 25430 time to create 1 rle with old method : 0.03505730628967285 time for calcul the mask position with numpy : 0.03556203842163086 nb_pixel_total : 14906 time to create 1 rle with old method : 0.02568197250366211 time for calcul the mask position with numpy : 0.028973817825317383 nb_pixel_total : 34287 time to create 1 rle with old method : 0.03830718994140625 time for calcul the mask position with numpy : 0.029015064239501953 nb_pixel_total : 38865 time to create 1 rle with old method : 0.04330635070800781 time for calcul the mask position with numpy : 0.029435157775878906 nb_pixel_total : 30812 time to create 1 rle with old method : 0.03490638732910156 time for calcul the mask position with numpy : 0.028954029083251953 nb_pixel_total : 32061 time to create 1 rle with old method : 0.03563213348388672 time for calcul the mask position with numpy : 0.02886962890625 nb_pixel_total : 20338 time to create 1 rle with old method : 0.022683143615722656 time for calcul the mask position with numpy : 0.029043912887573242 nb_pixel_total : 19488 time to create 1 rle with old method : 0.021622896194458008 time for calcul the mask position with numpy : 0.029143333435058594 nb_pixel_total : 45900 time to create 1 rle with old method : 0.050835371017456055 time for calcul the mask position with numpy : 0.029146194458007812 nb_pixel_total : 39460 time to create 1 rle with old method : 0.044790029525756836 time for calcul the mask position with numpy : 0.028972864151000977 nb_pixel_total : 19782 time to create 1 rle with old method : 0.023036718368530273 time for calcul the mask position with numpy : 0.028959989547729492 nb_pixel_total : 10852 time to create 1 rle with old method : 0.012073993682861328 time for calcul the mask position with numpy : 0.028937578201293945 nb_pixel_total : 49147 time to create 1 rle with old method : 0.07289290428161621 time for calcul the mask position with numpy : 0.032846689224243164 nb_pixel_total : 64380 time to create 1 rle with old method : 0.07200455665588379 time for calcul the mask position with numpy : 0.03046393394470215 nb_pixel_total : 58284 time to create 1 rle with old method : 0.0647130012512207 time for calcul the mask position with numpy : 0.02918863296508789 nb_pixel_total : 11532 time to create 1 rle with old method : 0.01291966438293457 time for calcul the mask position with numpy : 0.029003143310546875 nb_pixel_total : 27466 time to create 1 rle with old method : 0.030672311782836914 time for calcul the mask position with numpy : 0.0290377140045166 nb_pixel_total : 30336 time to create 1 rle with old method : 0.033931732177734375 time for calcul the mask position with numpy : 0.02984023094177246 nb_pixel_total : 71439 time to create 1 rle with old method : 0.07985424995422363 time for calcul the mask position with numpy : 0.02954721450805664 nb_pixel_total : 90261 time to create 1 rle with old method : 0.1005401611328125 time for calcul the mask position with numpy : 0.028946638107299805 nb_pixel_total : 43181 time to create 1 rle with old method : 0.04831194877624512 time for calcul the mask position with numpy : 0.0297696590423584 nb_pixel_total : 72753 time to create 1 rle with old method : 0.08049154281616211 time for calcul the mask position with numpy : 0.02965712547302246 nb_pixel_total : 28521 time to create 1 rle with old method : 0.0320742130279541 time for calcul the mask position with numpy : 0.02975606918334961 nb_pixel_total : 32274 time to create 1 rle with old method : 0.036644935607910156 time for calcul the mask position with numpy : 0.029546737670898438 nb_pixel_total : 50245 time to create 1 rle with old method : 0.05640816688537598 time for calcul the mask position with numpy : 0.02913832664489746 nb_pixel_total : 12902 time to create 1 rle with old method : 0.014381647109985352 time for calcul the mask position with numpy : 0.028939247131347656 nb_pixel_total : 21859 time to create 1 rle with old method : 0.0245516300201416 time for calcul the mask position with numpy : 0.029020309448242188 nb_pixel_total : 21984 time to create 1 rle with old method : 0.024464130401611328 time for calcul the mask position with numpy : 0.029421091079711914 nb_pixel_total : 17248 time to create 1 rle with old method : 0.02251148223876953 time for calcul the mask position with numpy : 0.03168892860412598 nb_pixel_total : 45791 time to create 1 rle with old method : 0.05253243446350098 time for calcul the mask position with numpy : 0.029573917388916016 nb_pixel_total : 19105 time to create 1 rle with old method : 0.021585941314697266 time for calcul the mask position with numpy : 0.030020475387573242 nb_pixel_total : 32810 time to create 1 rle with old method : 0.03662276268005371 time for calcul the mask position with numpy : 0.029035568237304688 nb_pixel_total : 17017 time to create 1 rle with old method : 0.019152402877807617 time for calcul the mask position with numpy : 0.029172658920288086 nb_pixel_total : 7464 time to create 1 rle with old method : 0.008326292037963867 time for calcul the mask position with numpy : 0.029116392135620117 nb_pixel_total : 6242 time to create 1 rle with old method : 0.006950855255126953 time for calcul the mask position with numpy : 0.029095172882080078 nb_pixel_total : 8768 time to create 1 rle with old method : 0.009818315505981445 time for calcul the mask position with numpy : 0.029467105865478516 nb_pixel_total : 8834 time to create 1 rle with old method : 0.009957313537597656 time for calcul the mask position with numpy : 0.029293060302734375 nb_pixel_total : 31596 time to create 1 rle with old method : 0.0355679988861084 time for calcul the mask position with numpy : 0.02925395965576172 nb_pixel_total : 10390 time to create 1 rle with old method : 0.011734962463378906 time for calcul the mask position with numpy : 0.03285646438598633 nb_pixel_total : 4772 time to create 1 rle with old method : 0.007940530776977539 time for calcul the mask position with numpy : 0.033095359802246094 nb_pixel_total : 12711 time to create 1 rle with old method : 0.015408754348754883 time for calcul the mask position with numpy : 0.029225587844848633 nb_pixel_total : 11174 time to create 1 rle with old method : 0.012467622756958008 create new chi : 4.289729356765747 time to delete rle : 0.004025936126708984 batch 1 Loaded 97 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 24233 TO DO : save crop sub photo not yet done ! save time : 2.3205819129943848 nb_obj : 61 nb_hashtags : 5 time to prepare the origin masks : 4.500762224197388 time for calcul the mask position with numpy : 0.5741438865661621 nb_pixel_total : 5154127 time to create 1 rle with new method : 0.8569555282592773 time for calcul the mask position with numpy : 0.029814481735229492 nb_pixel_total : 34322 time to create 1 rle with old method : 0.04703187942504883 time for calcul the mask position with numpy : 0.03897380828857422 nb_pixel_total : 20862 time to create 1 rle with old method : 0.025751352310180664 time for calcul the mask position with numpy : 0.030066251754760742 nb_pixel_total : 10643 time to create 1 rle with old method : 0.012195110321044922 time for calcul the mask position with numpy : 0.030367612838745117 nb_pixel_total : 14155 time to create 1 rle with old method : 0.0161588191986084 time for calcul the mask position with numpy : 0.029557228088378906 nb_pixel_total : 33471 time to create 1 rle with old method : 0.03852248191833496 time for calcul the mask position with numpy : 0.03095412254333496 nb_pixel_total : 9550 time to create 1 rle with old method : 0.011050701141357422 time for calcul the mask position with numpy : 0.03509211540222168 nb_pixel_total : 5726 time to create 1 rle with old method : 0.006817817687988281 time for calcul the mask position with numpy : 0.02972698211669922 nb_pixel_total : 79969 time to create 1 rle with old method : 0.08913230895996094 time for calcul the mask position with numpy : 0.029292821884155273 nb_pixel_total : 42778 time to create 1 rle with old method : 0.04797673225402832 time for calcul the mask position with numpy : 0.02918100357055664 nb_pixel_total : 32956 time to create 1 rle with old method : 0.03723716735839844 time for calcul the mask position with numpy : 0.029402732849121094 nb_pixel_total : 15540 time to create 1 rle with old method : 0.017510414123535156 time for calcul the mask position with numpy : 0.02935481071472168 nb_pixel_total : 22121 time to create 1 rle with old method : 0.025124073028564453 time for calcul the mask position with numpy : 0.029352903366088867 nb_pixel_total : 8652 time to create 1 rle with old method : 0.009796142578125 time for calcul the mask position with numpy : 0.02957773208618164 nb_pixel_total : 70521 time to create 1 rle with old method : 0.0784759521484375 time for calcul the mask position with numpy : 0.029189586639404297 nb_pixel_total : 37371 time to create 1 rle with old method : 0.04185199737548828 time for calcul the mask position with numpy : 0.02925872802734375 nb_pixel_total : 34929 time to create 1 rle with old method : 0.0393824577331543 time for calcul the mask position with numpy : 0.02931976318359375 nb_pixel_total : 4962 time to create 1 rle with old method : 0.005706310272216797 time for calcul the mask position with numpy : 0.02930164337158203 nb_pixel_total : 23888 time to create 1 rle with old method : 0.02672266960144043 time for calcul the mask position with numpy : 0.0289764404296875 nb_pixel_total : 9186 time to create 1 rle with old method : 0.010287761688232422 time for calcul the mask position with numpy : 0.029135704040527344 nb_pixel_total : 17158 time to create 1 rle with old method : 0.01948833465576172 time for calcul the mask position with numpy : 0.029017925262451172 nb_pixel_total : 30881 time to create 1 rle with old method : 0.0350801944732666 time for calcul the mask position with numpy : 0.029169082641601562 nb_pixel_total : 10439 time to create 1 rle with old method : 0.011538505554199219 time for calcul the mask position with numpy : 0.0286407470703125 nb_pixel_total : 69669 time to create 1 rle with old method : 0.0775449275970459 time for calcul the mask position with numpy : 0.028517723083496094 nb_pixel_total : 16384 time to create 1 rle with old method : 0.017975330352783203 time for calcul the mask position with numpy : 0.028507232666015625 nb_pixel_total : 38022 time to create 1 rle with old method : 0.04229545593261719 time for calcul the mask position with numpy : 0.029048681259155273 nb_pixel_total : 11936 time to create 1 rle with old method : 0.013130903244018555 time for calcul the mask position with numpy : 0.028820037841796875 nb_pixel_total : 38875 time to create 1 rle with old method : 0.04255056381225586 time for calcul the mask position with numpy : 0.028659820556640625 nb_pixel_total : 8882 time to create 1 rle with old method : 0.00984811782836914 time for calcul the mask position with numpy : 0.02871537208557129 nb_pixel_total : 55056 time to create 1 rle with old method : 0.06154894828796387 time for calcul the mask position with numpy : 0.029592037200927734 nb_pixel_total : 80679 time to create 1 rle with old method : 0.09269165992736816 time for calcul the mask position with numpy : 0.028326749801635742 nb_pixel_total : 32498 time to create 1 rle with old method : 0.03559708595275879 time for calcul the mask position with numpy : 0.02792191505432129 nb_pixel_total : 9235 time to create 1 rle with old method : 0.010466814041137695 time for calcul the mask position with numpy : 0.03031754493713379 nb_pixel_total : 51422 time to create 1 rle with old method : 0.05803871154785156 time for calcul the mask position with numpy : 0.028543949127197266 nb_pixel_total : 51977 time to create 1 rle with old method : 0.05690264701843262 time for calcul the mask position with numpy : 0.029096603393554688 nb_pixel_total : 14057 time to create 1 rle with old method : 0.01566338539123535 time for calcul the mask position with numpy : 0.030585527420043945 nb_pixel_total : 67496 time to create 1 rle with old method : 0.07524561882019043 time for calcul the mask position with numpy : 0.02842855453491211 nb_pixel_total : 12512 time to create 1 rle with old method : 0.020166397094726562 time for calcul the mask position with numpy : 0.032715559005737305 nb_pixel_total : 11851 time to create 1 rle with old method : 0.013453006744384766 time for calcul the mask position with numpy : 0.029553651809692383 nb_pixel_total : 34034 time to create 1 rle with old method : 0.03806734085083008 time for calcul the mask position with numpy : 0.03046131134033203 nb_pixel_total : 79717 time to create 1 rle with old method : 0.08739471435546875 time for calcul the mask position with numpy : 0.028939485549926758 nb_pixel_total : 23 time to create 1 rle with old method : 5.626678466796875e-05 time for calcul the mask position with numpy : 0.0288240909576416 nb_pixel_total : 98006 time to create 1 rle with old method : 0.10680890083312988 time for calcul the mask position with numpy : 0.029498815536499023 nb_pixel_total : 20526 time to create 1 rle with old method : 0.022919416427612305 time for calcul the mask position with numpy : 0.02971935272216797 nb_pixel_total : 147782 time to create 1 rle with old method : 0.1639416217803955 time for calcul the mask position with numpy : 0.028751850128173828 nb_pixel_total : 40118 time to create 1 rle with old method : 0.04389524459838867 time for calcul the mask position with numpy : 0.028572559356689453 nb_pixel_total : 24358 time to create 1 rle with old method : 0.02679753303527832 time for calcul the mask position with numpy : 0.029675722122192383 nb_pixel_total : 6806 time to create 1 rle with old method : 0.007695198059082031 time for calcul the mask position with numpy : 0.02894306182861328 nb_pixel_total : 51850 time to create 1 rle with old method : 0.057445526123046875 time for calcul the mask position with numpy : 0.029568910598754883 nb_pixel_total : 45352 time to create 1 rle with old method : 0.049826622009277344 time for calcul the mask position with numpy : 0.028437376022338867 nb_pixel_total : 14319 time to create 1 rle with old method : 0.015719175338745117 time for calcul the mask position with numpy : 0.028090238571166992 nb_pixel_total : 77332 time to create 1 rle with old method : 0.08442854881286621 time for calcul the mask position with numpy : 0.028195619583129883 nb_pixel_total : 11599 time to create 1 rle with old method : 0.0126953125 time for calcul the mask position with numpy : 0.028203725814819336 nb_pixel_total : 21111 time to create 1 rle with old method : 0.022907495498657227 time for calcul the mask position with numpy : 0.0285336971282959 nb_pixel_total : 9009 time to create 1 rle with old method : 0.009857177734375 time for calcul the mask position with numpy : 0.028482437133789062 nb_pixel_total : 4325 time to create 1 rle with old method : 0.004923820495605469 time for calcul the mask position with numpy : 0.029096603393554688 nb_pixel_total : 10338 time to create 1 rle with old method : 0.01784825325012207 time for calcul the mask position with numpy : 0.038504838943481445 nb_pixel_total : 7780 time to create 1 rle with old method : 0.008707761764526367 time for calcul the mask position with numpy : 0.0301363468170166 nb_pixel_total : 14728 time to create 1 rle with old method : 0.0167543888092041 time for calcul the mask position with numpy : 0.029253482818603516 nb_pixel_total : 19639 time to create 1 rle with old method : 0.021610260009765625 time for calcul the mask position with numpy : 0.02830195426940918 nb_pixel_total : 5413 time to create 1 rle with old method : 0.006107330322265625 time for calcul the mask position with numpy : 0.029381513595581055 nb_pixel_total : 11317 time to create 1 rle with old method : 0.012392282485961914 create new chi : 5.4161577224731445 time to delete rle : 0.006899595260620117 batch 1 Loaded 123 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 30075 TO DO : save crop sub photo not yet done ! save time : 5.068718433380127 nb_obj : 66 nb_hashtags : 5 time to prepare the origin masks : 4.652794361114502 time for calcul the mask position with numpy : 0.45951294898986816 nb_pixel_total : 4964137 time to create 1 rle with new method : 0.7535998821258545 time for calcul the mask position with numpy : 0.029663801193237305 nb_pixel_total : 10722 time to create 1 rle with old method : 0.013217687606811523 time for calcul the mask position with numpy : 0.029819488525390625 nb_pixel_total : 19286 time to create 1 rle with old method : 0.021912336349487305 time for calcul the mask position with numpy : 0.029515743255615234 nb_pixel_total : 32073 time to create 1 rle with old method : 0.03575944900512695 time for calcul the mask position with numpy : 0.029278039932250977 nb_pixel_total : 7152 time to create 1 rle with old method : 0.008013010025024414 time for calcul the mask position with numpy : 0.028936386108398438 nb_pixel_total : 9403 time to create 1 rle with old method : 0.010251045227050781 time for calcul the mask position with numpy : 0.02913498878479004 nb_pixel_total : 23922 time to create 1 rle with old method : 0.026274919509887695 time for calcul the mask position with numpy : 0.028084278106689453 nb_pixel_total : 4911 time to create 1 rle with old method : 0.005446434020996094 time for calcul the mask position with numpy : 0.0295565128326416 nb_pixel_total : 50202 time to create 1 rle with old method : 0.05382537841796875 time for calcul the mask position with numpy : 0.02804732322692871 nb_pixel_total : 59599 time to create 1 rle with old method : 0.06978392601013184 time for calcul the mask position with numpy : 0.02791118621826172 nb_pixel_total : 6433 time to create 1 rle with old method : 0.0069997310638427734 time for calcul the mask position with numpy : 0.02764582633972168 nb_pixel_total : 10435 time to create 1 rle with old method : 0.011119842529296875 time for calcul the mask position with numpy : 0.02812647819519043 nb_pixel_total : 17797 time to create 1 rle with old method : 0.019597291946411133 time for calcul the mask position with numpy : 0.028218984603881836 nb_pixel_total : 98872 time to create 1 rle with old method : 0.10642838478088379 time for calcul the mask position with numpy : 0.02748870849609375 nb_pixel_total : 26580 time to create 1 rle with old method : 0.0288541316986084 time for calcul the mask position with numpy : 0.028369426727294922 nb_pixel_total : 40336 time to create 1 rle with old method : 0.04355263710021973 time for calcul the mask position with numpy : 0.028643369674682617 nb_pixel_total : 22629 time to create 1 rle with old method : 0.025217533111572266 time for calcul the mask position with numpy : 0.030043840408325195 nb_pixel_total : 34512 time to create 1 rle with old method : 0.03920173645019531 time for calcul the mask position with numpy : 0.029979705810546875 nb_pixel_total : 12226 time to create 1 rle with old method : 0.013873577117919922 time for calcul the mask position with numpy : 0.02853560447692871 nb_pixel_total : 21112 time to create 1 rle with old method : 0.02313089370727539 time for calcul the mask position with numpy : 0.029717445373535156 nb_pixel_total : 109539 time to create 1 rle with old method : 0.1269667148590088 time for calcul the mask position with numpy : 0.030214786529541016 nb_pixel_total : 39234 time to create 1 rle with old method : 0.04518008232116699 time for calcul the mask position with numpy : 0.03140974044799805 nb_pixel_total : 46524 time to create 1 rle with old method : 0.052342891693115234 time for calcul the mask position with numpy : 0.029119253158569336 nb_pixel_total : 17473 time to create 1 rle with old method : 0.01923513412475586 time for calcul the mask position with numpy : 0.029908180236816406 nb_pixel_total : 51422 time to create 1 rle with old method : 0.05610036849975586 time for calcul the mask position with numpy : 0.02978801727294922 nb_pixel_total : 39584 time to create 1 rle with old method : 0.044142961502075195 time for calcul the mask position with numpy : 0.031114578247070312 nb_pixel_total : 97443 time to create 1 rle with old method : 0.12095236778259277 time for calcul the mask position with numpy : 0.034193992614746094 nb_pixel_total : 46566 time to create 1 rle with old method : 0.057311058044433594 time for calcul the mask position with numpy : 0.03336453437805176 nb_pixel_total : 21467 time to create 1 rle with old method : 0.03459000587463379 time for calcul the mask position with numpy : 0.029195547103881836 nb_pixel_total : 11535 time to create 1 rle with old method : 0.014139890670776367 time for calcul the mask position with numpy : 0.032442569732666016 nb_pixel_total : 153061 time to create 1 rle with new method : 0.40596890449523926 time for calcul the mask position with numpy : 0.029607295989990234 nb_pixel_total : 14369 time to create 1 rle with old method : 0.016966819763183594 time for calcul the mask position with numpy : 0.03007364273071289 nb_pixel_total : 26082 time to create 1 rle with old method : 0.031339406967163086 time for calcul the mask position with numpy : 0.030121326446533203 nb_pixel_total : 35801 time to create 1 rle with old method : 0.04343223571777344 time for calcul the mask position with numpy : 0.03041362762451172 nb_pixel_total : 13756 time to create 1 rle with old method : 0.015318632125854492 time for calcul the mask position with numpy : 0.029361486434936523 nb_pixel_total : 33682 time to create 1 rle with old method : 0.04282712936401367 time for calcul the mask position with numpy : 0.030316829681396484 nb_pixel_total : 37632 time to create 1 rle with old method : 0.05299639701843262 time for calcul the mask position with numpy : 0.0301663875579834 nb_pixel_total : 11896 time to create 1 rle with old method : 0.013527870178222656 time for calcul the mask position with numpy : 0.029788732528686523 nb_pixel_total : 32160 time to create 1 rle with old method : 0.05532217025756836 time for calcul the mask position with numpy : 0.035207509994506836 nb_pixel_total : 6640 time to create 1 rle with old method : 0.008121013641357422 time for calcul the mask position with numpy : 0.030710220336914062 nb_pixel_total : 9622 time to create 1 rle with old method : 0.011926889419555664 time for calcul the mask position with numpy : 0.030948162078857422 nb_pixel_total : 24407 time to create 1 rle with old method : 0.029099225997924805 time for calcul the mask position with numpy : 0.029471635818481445 nb_pixel_total : 49354 time to create 1 rle with old method : 0.058374881744384766 time for calcul the mask position with numpy : 0.029192686080932617 nb_pixel_total : 8343 time to create 1 rle with old method : 0.009416580200195312 time for calcul the mask position with numpy : 0.029842376708984375 nb_pixel_total : 20442 time to create 1 rle with old method : 0.02489495277404785 time for calcul the mask position with numpy : 0.02981877326965332 nb_pixel_total : 17921 time to create 1 rle with old method : 0.020776033401489258 time for calcul the mask position with numpy : 0.030385494232177734 nb_pixel_total : 26377 time to create 1 rle with old method : 0.03195452690124512 time for calcul the mask position with numpy : 0.032169342041015625 nb_pixel_total : 10632 time to create 1 rle with old method : 0.012271404266357422 time for calcul the mask position with numpy : 0.02977609634399414 nb_pixel_total : 21543 time to create 1 rle with old method : 0.024166107177734375 time for calcul the mask position with numpy : 0.0294497013092041 nb_pixel_total : 13089 time to create 1 rle with old method : 0.014549493789672852 time for calcul the mask position with numpy : 0.029634475708007812 nb_pixel_total : 150105 time to create 1 rle with new method : 0.39662647247314453 time for calcul the mask position with numpy : 0.029500961303710938 nb_pixel_total : 16556 time to create 1 rle with old method : 0.01849675178527832 time for calcul the mask position with numpy : 0.02913379669189453 nb_pixel_total : 16665 time to create 1 rle with old method : 0.01849842071533203 time for calcul the mask position with numpy : 0.029523611068725586 nb_pixel_total : 58190 time to create 1 rle with old method : 0.06455302238464355 time for calcul the mask position with numpy : 0.029250621795654297 nb_pixel_total : 22626 time to create 1 rle with old method : 0.025202274322509766 time for calcul the mask position with numpy : 0.02954244613647461 nb_pixel_total : 14110 time to create 1 rle with old method : 0.01579427719116211 time for calcul the mask position with numpy : 0.029244184494018555 nb_pixel_total : 4199 time to create 1 rle with old method : 0.004785060882568359 time for calcul the mask position with numpy : 0.02958083152770996 nb_pixel_total : 35749 time to create 1 rle with old method : 0.03976607322692871 time for calcul the mask position with numpy : 0.028960466384887695 nb_pixel_total : 19570 time to create 1 rle with old method : 0.021793842315673828 time for calcul the mask position with numpy : 0.02884387969970703 nb_pixel_total : 9075 time to create 1 rle with old method : 0.01013493537902832 time for calcul the mask position with numpy : 0.029316425323486328 nb_pixel_total : 36944 time to create 1 rle with old method : 0.04326939582824707 time for calcul the mask position with numpy : 0.028951644897460938 nb_pixel_total : 8319 time to create 1 rle with old method : 0.009399175643920898 time for calcul the mask position with numpy : 0.029217243194580078 nb_pixel_total : 14367 time to create 1 rle with old method : 0.01598525047302246 time for calcul the mask position with numpy : 0.02931690216064453 nb_pixel_total : 23487 time to create 1 rle with old method : 0.02628803253173828 time for calcul the mask position with numpy : 0.029629945755004883 nb_pixel_total : 63359 time to create 1 rle with old method : 0.07078361511230469 time for calcul the mask position with numpy : 0.02916884422302246 nb_pixel_total : 29033 time to create 1 rle with old method : 0.03244352340698242 time for calcul the mask position with numpy : 0.028908729553222656 nb_pixel_total : 7951 time to create 1 rle with old method : 0.009020805358886719 create new chi : 6.141943693161011 time to delete rle : 0.00845026969909668 batch 1 Loaded 133 chid ids of type : 3594 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 32268 TO DO : save crop sub photo not yet done ! save time : 5.185577392578125 nb_obj : 68 nb_hashtags : 4 time to prepare the origin masks : 4.443601608276367 time for calcul the mask position with numpy : 0.5671699047088623 nb_pixel_total : 5530945 time to create 1 rle with new method : 0.8421587944030762 time for calcul the mask position with numpy : 0.029700279235839844 nb_pixel_total : 31182 time to create 1 rle with old method : 0.03474092483520508 time for calcul the mask position with numpy : 0.03249382972717285 nb_pixel_total : 46796 time to create 1 rle with old method : 0.05307888984680176 time for calcul the mask position with numpy : 0.028329133987426758 nb_pixel_total : 16815 time to create 1 rle with old method : 0.018530845642089844 time for calcul the mask position with numpy : 0.029303550720214844 nb_pixel_total : 20274 time to create 1 rle with old method : 0.022512435913085938 time for calcul the mask position with numpy : 0.03162217140197754 nb_pixel_total : 6117 time to create 1 rle with old method : 0.007790803909301758 time for calcul the mask position with numpy : 0.029055356979370117 nb_pixel_total : 59736 time to create 1 rle with old method : 0.06576919555664062 time for calcul the mask position with numpy : 0.028554677963256836 nb_pixel_total : 10944 time to create 1 rle with old method : 0.012040853500366211 time for calcul the mask position with numpy : 0.028534889221191406 nb_pixel_total : 30045 time to create 1 rle with old method : 0.03329014778137207 time for calcul the mask position with numpy : 0.028520584106445312 nb_pixel_total : 37597 time to create 1 rle with old method : 0.051618337631225586 time for calcul the mask position with numpy : 0.02888965606689453 nb_pixel_total : 49398 time to create 1 rle with old method : 0.05624675750732422 time for calcul the mask position with numpy : 0.02875494956970215 nb_pixel_total : 39979 time to create 1 rle with old method : 0.04439568519592285 time for calcul the mask position with numpy : 0.029894113540649414 nb_pixel_total : 15014 time to create 1 rle with old method : 0.024314165115356445 time for calcul the mask position with numpy : 0.028992891311645508 nb_pixel_total : 15228 time to create 1 rle with old method : 0.017086505889892578 time for calcul the mask position with numpy : 0.029179096221923828 nb_pixel_total : 25058 time to create 1 rle with old method : 0.028388023376464844 time for calcul the mask position with numpy : 0.029022693634033203 nb_pixel_total : 34059 time to create 1 rle with old method : 0.03779745101928711 time for calcul the mask position with numpy : 0.028770923614501953 nb_pixel_total : 9096 time to create 1 rle with old method : 0.013153314590454102 time for calcul the mask position with numpy : 0.03240847587585449 nb_pixel_total : 10425 time to create 1 rle with old method : 0.011786699295043945 time for calcul the mask position with numpy : 0.028905630111694336 nb_pixel_total : 21462 time to create 1 rle with old method : 0.023853063583374023 time for calcul the mask position with numpy : 0.02863025665283203 nb_pixel_total : 20189 time to create 1 rle with old method : 0.02210211753845215 time for calcul the mask position with numpy : 0.028403282165527344 nb_pixel_total : 33160 time to create 1 rle with old method : 0.035535573959350586 time for calcul the mask position with numpy : 0.02797079086303711 nb_pixel_total : 20067 time to create 1 rle with old method : 0.02225470542907715 time for calcul the mask position with numpy : 0.02890181541442871 nb_pixel_total : 15604 time to create 1 rle with old method : 0.0173032283782959 time for calcul the mask position with numpy : 0.028670310974121094 nb_pixel_total : 16090 time to create 1 rle with old method : 0.017952680587768555 time for calcul the mask position with numpy : 0.029271364212036133 nb_pixel_total : 33187 time to create 1 rle with old method : 0.03831911087036133 time for calcul the mask position with numpy : 0.03349184989929199 nb_pixel_total : 39960 time to create 1 rle with old method : 0.06101417541503906 time for calcul the mask position with numpy : 0.02982783317565918 nb_pixel_total : 33241 time to create 1 rle with old method : 0.03719639778137207 time for calcul the mask position with numpy : 0.029234647750854492 nb_pixel_total : 26751 time to create 1 rle with old method : 0.03003406524658203 time for calcul the mask position with numpy : 0.029003620147705078 nb_pixel_total : 12693 time to create 1 rle with old method : 0.014341115951538086 time for calcul the mask position with numpy : 0.028746843338012695 nb_pixel_total : 22386 time to create 1 rle with old method : 0.02507305145263672 time for calcul the mask position with numpy : 0.029129743576049805 nb_pixel_total : 21482 time to create 1 rle with old method : 0.02377915382385254 time for calcul the mask position with numpy : 0.029149293899536133 nb_pixel_total : 52946 time to create 1 rle with old method : 0.059819936752319336 time for calcul the mask position with numpy : 0.031459808349609375 nb_pixel_total : 52730 time to create 1 rle with old method : 0.06699919700622559 time for calcul the mask position with numpy : 0.028951644897460938 nb_pixel_total : 29029 time to create 1 rle with old method : 0.03266024589538574 time for calcul the mask position with numpy : 0.028646230697631836 nb_pixel_total : 29325 time to create 1 rle with old method : 0.032106637954711914 time for calcul the mask position with numpy : 0.028855085372924805 nb_pixel_total : 30366 time to create 1 rle with old method : 0.03658890724182129 time for calcul the mask position with numpy : 0.028925180435180664 nb_pixel_total : 20779 time to create 1 rle with old method : 0.023144960403442383 time for calcul the mask position with numpy : 0.028887510299682617 nb_pixel_total : 47234 time to create 1 rle with old method : 0.0516204833984375 time for calcul the mask position with numpy : 0.028264522552490234 nb_pixel_total : 24888 time to create 1 rle with old method : 0.02722907066345215 time for calcul the mask position with numpy : 0.02833247184753418 nb_pixel_total : 30743 time to create 1 rle with old method : 0.033995866775512695 time for calcul the mask position with numpy : 0.02898263931274414 nb_pixel_total : 20528 time to create 1 rle with old method : 0.033318519592285156 time for calcul the mask position with numpy : 0.03273963928222656 nb_pixel_total : 3027 time to create 1 rle with old method : 0.004966259002685547 time for calcul the mask position with numpy : 0.030404090881347656 nb_pixel_total : 10460 time to create 1 rle with old method : 0.011677265167236328 time for calcul the mask position with numpy : 0.028781652450561523 nb_pixel_total : 8834 time to create 1 rle with old method : 0.010031700134277344 time for calcul the mask position with numpy : 0.029845476150512695 nb_pixel_total : 115215 time to create 1 rle with old method : 0.13103222846984863 time for calcul the mask position with numpy : 0.029002666473388672 nb_pixel_total : 8941 time to create 1 rle with old method : 0.010181665420532227 time for calcul the mask position with numpy : 0.02900218963623047 nb_pixel_total : 5579 time to create 1 rle with old method : 0.0062448978424072266 time for calcul the mask position with numpy : 0.029004812240600586 nb_pixel_total : 16555 time to create 1 rle with old method : 0.01840949058532715 time for calcul the mask position with numpy : 0.029336929321289062 nb_pixel_total : 13706 time to create 1 rle with old method : 0.015414237976074219 time for calcul the mask position with numpy : 0.02932286262512207 nb_pixel_total : 11330 time to create 1 rle with old method : 0.012842416763305664 time for calcul the mask position with numpy : 0.029062271118164062 nb_pixel_total : 17782 time to create 1 rle with old method : 0.019807815551757812 time for calcul the mask position with numpy : 0.028963804244995117 nb_pixel_total : 20784 time to create 1 rle with old method : 0.023688316345214844 time for calcul the mask position with numpy : 0.02877068519592285 nb_pixel_total : 16065 time to create 1 rle with old method : 0.01816391944885254 time for calcul the mask position with numpy : 0.030820846557617188 nb_pixel_total : 634 time to create 1 rle with old method : 0.0007772445678710938 time for calcul the mask position with numpy : 0.030826330184936523 nb_pixel_total : 6688 time to create 1 rle with old method : 0.007532835006713867 time for calcul the mask position with numpy : 0.0289914608001709 nb_pixel_total : 6445 time to create 1 rle with old method : 0.007637500762939453 time for calcul the mask position with numpy : 0.031098365783691406 nb_pixel_total : 32612 time to create 1 rle with old method : 0.035950660705566406 time for calcul the mask position with numpy : 0.02923893928527832 nb_pixel_total : 18246 time to create 1 rle with old method : 0.020369768142700195 time for calcul the mask position with numpy : 0.029389381408691406 nb_pixel_total : 34784 time to create 1 rle with old method : 0.038736820220947266 time for calcul the mask position with numpy : 0.0291593074798584 nb_pixel_total : 4491 time to create 1 rle with old method : 0.005349874496459961 time for calcul the mask position with numpy : 0.029241085052490234 nb_pixel_total : 864 time to create 1 rle with old method : 0.0010476112365722656 time for calcul the mask position with numpy : 0.028991222381591797 nb_pixel_total : 4313 time to create 1 rle with old method : 0.004897356033325195 time for calcul the mask position with numpy : 0.029132366180419922 nb_pixel_total : 11795 time to create 1 rle with old method : 0.014942169189453125 time for calcul the mask position with numpy : 0.029103755950927734 nb_pixel_total : 7886 time to create 1 rle with old method : 0.009017467498779297 time for calcul the mask position with numpy : 0.029030799865722656 nb_pixel_total : 5700 time to create 1 rle with old method : 0.006455421447753906 time for calcul the mask position with numpy : 0.029327869415283203 nb_pixel_total : 4142 time to create 1 rle with old method : 0.004864931106567383 time for calcul the mask position with numpy : 0.030355215072631836 nb_pixel_total : 1454 time to create 1 rle with old method : 0.0024394989013671875 time for calcul the mask position with numpy : 0.033284664154052734 nb_pixel_total : 13026 time to create 1 rle with old method : 0.02138066291809082 time for calcul the mask position with numpy : 0.031618595123291016 nb_pixel_total : 5334 time to create 1 rle with old method : 0.006005287170410156 create new chi : 5.222978353500366 time to delete rle : 0.004690408706665039 batch 1 Loaded 137 chid ids of type : 3594 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 28098 TO DO : save crop sub photo not yet done ! save time : 3.723079204559326 map_output_result : {1349302784: (0.0, 'Should be the crop_list due to order', 0), 1349302642: (0.0, 'Should be the crop_list due to order', 0), 1349302592: (0.0, 'Should be the crop_list due to order', 0), 1349302579: (0.0, 'Should be the crop_list due to order', 0), 1349302265: (0.0, 'Should be the crop_list due to order', 0), 1349301019: (0.0, 'Should be the crop_list due to order', 0), 1349301016: (0.0, 'Should be the crop_list due to order', 0), 1349299246: (0.0, 'Should be the crop_list due to order', 0), 1349299221: (0.0, 'Should be the crop_list due to order', 0), 1349299192: (0.0, 'Should be the crop_list due to order', 0), 1349298683: (0.0, 'Should be the crop_list due to order', 0), 1349298671: (0.0, 'Should be the crop_list due to order', 0), 1349298131: (0.0, 'Should be the crop_list due to order', 0), 1349296637: (0.0, 'Should be the crop_list due to order', 0), 1349296605: (0.0, 'Should be the crop_list due to order', 0), 1349296574: (0.0, 'Should be the crop_list due to order', 0), 1349296544: (0.0, 'Should be the crop_list due to order', 0), 1349296509: (0.0, 'Should be the crop_list due to order', 0), 1349296482: (0.0, 'Should be the crop_list due to order', 0), 1349296398: (0.0, 'Should be the crop_list due to order', 0), 1349296394: (0.0, 'Should be the crop_list due to order', 0), 1349296389: (0.0, 'Should be the crop_list due to order', 0), 1349296385: (0.0, 'Should be the crop_list due to order', 0), 1349296277: (0.0, 'Should be the crop_list due to order', 0), 1349296212: (0.0, 'Should be the crop_list due to order', 0), 1349296210: (0.0, 'Should be the crop_list due to order', 0), 1349296206: (0.0, 'Should be the crop_list due to order', 0), 1349296201: (0.0, 'Should be the crop_list due to order', 0), 1349296194: (0.0, 'Should be the crop_list due to order', 0), 1349296189: (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 [1349302784, 1349302642, 1349302592, 1349302579, 1349302265, 1349301019, 1349301016, 1349299246, 1349299221, 1349299192, 1349298683, 1349298671, 1349298131, 1349296637, 1349296605, 1349296574, 1349296544, 1349296509, 1349296482, 1349296398, 1349296394, 1349296389, 1349296385, 1349296277, 1349296212, 1349296210, 1349296206, 1349296201, 1349296194, 1349296189] Looping around the photos to save general results len do output : 30 /1349302784.Didn't retrieve data . /1349302642.Didn't retrieve data . /1349302592.Didn't retrieve data . /1349302579.Didn't retrieve data . /1349302265.Didn't retrieve data . /1349301019.Didn't retrieve data . /1349301016.Didn't retrieve data . /1349299246.Didn't retrieve data . /1349299221.Didn't retrieve data . /1349299192.Didn't retrieve data . /1349298683.Didn't retrieve data . /1349298671.Didn't retrieve data . /1349298131.Didn't retrieve data . /1349296637.Didn't retrieve data . /1349296605.Didn't retrieve data . /1349296574.Didn't retrieve data . /1349296544.Didn't retrieve data . /1349296509.Didn't retrieve data . /1349296482.Didn't retrieve data . /1349296398.Didn't retrieve data . /1349296394.Didn't retrieve data . /1349296389.Didn't retrieve data . /1349296385.Didn't retrieve data . /1349296277.Didn't retrieve data . /1349296212.Didn't retrieve data . /1349296210.Didn't retrieve data . /1349296206.Didn't retrieve data . /1349296201.Didn't retrieve data . /1349296194.Didn't retrieve data . /1349296189.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, '2713807') ('3318', '21951749', '1349302784', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302642', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302592', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302579', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302265', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349301019', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349301016', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299246', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299221', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299192', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298683', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298671', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298131', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296637', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296605', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296574', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296544', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296509', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296482', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296398', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296394', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296389', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296385', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296277', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296212', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296210', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296206', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296201', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296194', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296189', None, None, None, None, None, '2713807') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 90 time used for this insertion : 0.020398616790771484 save_final save missing photos in datou_result : time spend for datou_step_exec : 383.06529664993286 time spend to save output : 0.021333932876586914 total time spend for step 3 : 383.08663058280945 step4:ventilate_hashtags_in_portfolio Tue Apr 1 19:53:33 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure beginning of datou step ventilate_hashtags_in_portfolio : To implement ! Iterating over portfolio : 21951749 get user id for portfolio 21951749 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`=21951749 AND mptpi.`type`=3594 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('flou','autre','pet_clair','background','mal_croppe','pehd','environnement','carton','papier','metal','pet_fonce')) 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`=21951749 AND mptpi.`type`=3594 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('flou','autre','pet_clair','background','mal_croppe','pehd','environnement','carton','papier','metal','pet_fonce')) 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`=21951749 AND mptpi.`type`=3594 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('flou','autre','pet_clair','background','mal_croppe','pehd','environnement','carton','papier','metal','pet_fonce')) AND mptpi.`min_score`=0.5 To do lien utilise dans velours : https://www.fotonower.com/velours/21956110,21956111,21956112,21956113,21956114,21956115,21956116,21956117,21956118,21956119,21956120?tags=flou,autre,pet_clair,background,mal_croppe,pehd,environnement,carton,papier,metal,pet_fonce Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral [1349302784, 1349302642, 1349302592, 1349302579, 1349302265, 1349301019, 1349301016, 1349299246, 1349299221, 1349299192, 1349298683, 1349298671, 1349298131, 1349296637, 1349296605, 1349296574, 1349296544, 1349296509, 1349296482, 1349296398, 1349296394, 1349296389, 1349296385, 1349296277, 1349296212, 1349296210, 1349296206, 1349296201, 1349296194, 1349296189] Looping around the photos to save general results len do output : 1 /21951749. 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, '2713807') ('3318', '21951749', '1349302784', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302642', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302592', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302579', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302265', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349301019', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349301016', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299246', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299221', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299192', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298683', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298671', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298131', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296637', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296605', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296574', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296544', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296509', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296482', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296398', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296394', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296389', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296385', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296277', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296212', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296210', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296206', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296201', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296194', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296189', None, None, None, None, None, '2713807') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 31 time used for this insertion : 0.018205881118774414 save_final save missing photos in datou_result : time spend for datou_step_exec : 2.3175246715545654 time spend to save output : 0.018590211868286133 total time spend for step 4 : 2.3361148834228516 step5:final Tue Apr 1 19:53:35 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! complete output_args for input 2 VR 22-3-18 : For now we do not clean correctly the datou structure Beginning of datou step final ! Catched exception ! Connect or reconnect ! Inside saveOutput : final : False verbose : 0 original output for save of step final : {1349302784: ('0.24201299057431616',), 1349302642: ('0.24201299057431616',), 1349302592: ('0.24201299057431616',), 1349302579: ('0.24201299057431616',), 1349302265: ('0.24201299057431616',), 1349301019: ('0.24201299057431616',), 1349301016: ('0.24201299057431616',), 1349299246: ('0.24201299057431616',), 1349299221: ('0.24201299057431616',), 1349299192: ('0.24201299057431616',), 1349298683: ('0.24201299057431616',), 1349298671: ('0.24201299057431616',), 1349298131: ('0.24201299057431616',), 1349296637: ('0.24201299057431616',), 1349296605: ('0.24201299057431616',), 1349296574: ('0.24201299057431616',), 1349296544: ('0.24201299057431616',), 1349296509: ('0.24201299057431616',), 1349296482: ('0.24201299057431616',), 1349296398: ('0.24201299057431616',), 1349296394: ('0.24201299057431616',), 1349296389: ('0.24201299057431616',), 1349296385: ('0.24201299057431616',), 1349296277: ('0.24201299057431616',), 1349296212: ('0.24201299057431616',), 1349296210: ('0.24201299057431616',), 1349296206: ('0.24201299057431616',), 1349296201: ('0.24201299057431616',), 1349296194: ('0.24201299057431616',), 1349296189: ('0.24201299057431616',)} new output for save of step final : {1349302784: ('0.24201299057431616',), 1349302642: ('0.24201299057431616',), 1349302592: ('0.24201299057431616',), 1349302579: ('0.24201299057431616',), 1349302265: ('0.24201299057431616',), 1349301019: ('0.24201299057431616',), 1349301016: ('0.24201299057431616',), 1349299246: ('0.24201299057431616',), 1349299221: ('0.24201299057431616',), 1349299192: ('0.24201299057431616',), 1349298683: ('0.24201299057431616',), 1349298671: ('0.24201299057431616',), 1349298131: ('0.24201299057431616',), 1349296637: ('0.24201299057431616',), 1349296605: ('0.24201299057431616',), 1349296574: ('0.24201299057431616',), 1349296544: ('0.24201299057431616',), 1349296509: ('0.24201299057431616',), 1349296482: ('0.24201299057431616',), 1349296398: ('0.24201299057431616',), 1349296394: ('0.24201299057431616',), 1349296389: ('0.24201299057431616',), 1349296385: ('0.24201299057431616',), 1349296277: ('0.24201299057431616',), 1349296212: ('0.24201299057431616',), 1349296210: ('0.24201299057431616',), 1349296206: ('0.24201299057431616',), 1349296201: ('0.24201299057431616',), 1349296194: ('0.24201299057431616',), 1349296189: ('0.24201299057431616',)} [1349302784, 1349302642, 1349302592, 1349302579, 1349302265, 1349301019, 1349301016, 1349299246, 1349299221, 1349299192, 1349298683, 1349298671, 1349298131, 1349296637, 1349296605, 1349296574, 1349296544, 1349296509, 1349296482, 1349296398, 1349296394, 1349296389, 1349296385, 1349296277, 1349296212, 1349296210, 1349296206, 1349296201, 1349296194, 1349296189] Looping around the photos to save general results len do output : 30 /1349302784.Didn't retrieve data . /1349302642.Didn't retrieve data . /1349302592.Didn't retrieve data . /1349302579.Didn't retrieve data . /1349302265.Didn't retrieve data . /1349301019.Didn't retrieve data . /1349301016.Didn't retrieve data . /1349299246.Didn't retrieve data . /1349299221.Didn't retrieve data . /1349299192.Didn't retrieve data . /1349298683.Didn't retrieve data . /1349298671.Didn't retrieve data . /1349298131.Didn't retrieve data . /1349296637.Didn't retrieve data . /1349296605.Didn't retrieve data . /1349296574.Didn't retrieve data . /1349296544.Didn't retrieve data . /1349296509.Didn't retrieve data . /1349296482.Didn't retrieve data . /1349296398.Didn't retrieve data . /1349296394.Didn't retrieve data . /1349296389.Didn't retrieve data . /1349296385.Didn't retrieve data . /1349296277.Didn't retrieve data . /1349296212.Didn't retrieve data . /1349296210.Didn't retrieve data . /1349296206.Didn't retrieve data . /1349296201.Didn't retrieve data . /1349296194.Didn't retrieve data . /1349296189.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, '2713807') ('3318', '21951749', '1349302784', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302642', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302592', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302579', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302265', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349301019', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349301016', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299246', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299221', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299192', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298683', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298671', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298131', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296637', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296605', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296574', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296544', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296509', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296482', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296398', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296394', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296389', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296385', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296277', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296212', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296210', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296206', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296201', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296194', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296189', None, None, None, None, None, '2713807') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 90 time used for this insertion : 0.023657560348510742 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.10773801803588867 time spend to save output : 0.024857282638549805 total time spend for step 5 : 0.13259530067443848 step6:blur_detection Tue Apr 1 19:53:35 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure inside step blur_detection methode: ratio et variance treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7.jpg resize: (2160, 3264) 1349302784 -6.717475329789597 treat image : temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc.jpg resize: (2160, 3264) 1349302642 -4.709583424654793 treat image : temp/1743528030_2191812_1349302592_d481d92cceca6a7145b2c6314f1faa3e.jpg resize: (2160, 3264) 1349302592 -2.411382489394999 treat image : temp/1743528030_2191812_1349302579_dac2b4d79af303df6d007e93bf1a1586.jpg resize: (2160, 3264) 1349302579 -0.7250482629466185 treat image : temp/1743528030_2191812_1349302265_0d25427dd1d64e004ae9cf7f6615a0d8.jpg resize: (2160, 3264) 1349302265 -2.2441735651507893 treat image : temp/1743528030_2191812_1349301019_43ec3c37420f05c4fd993542a7e8822a.jpg resize: (2160, 3264) 1349301019 -5.946472236764194 treat image : temp/1743528030_2191812_1349301016_51609eace2c7cef80fc3585c127b4310.jpg resize: (2160, 3264) 1349301016 -2.254273780361674 treat image : temp/1743528030_2191812_1349299246_e605618dbbbce3c1eba5bdb14ac781c4.jpg resize: (2160, 3264) 1349299246 -4.600139128275189 treat image : temp/1743528030_2191812_1349299221_5f68c43fbf22abbb6e28f8318fccf440.jpg resize: (2160, 3264) 1349299221 -2.5064831525573794 treat image : temp/1743528030_2191812_1349299192_dfb92dd791805246f73c0991abb9f564.jpg resize: (2160, 3264) 1349299192 -7.4816707267286455 treat image : temp/1743528030_2191812_1349298683_eda262b1eaceb071b0348163730126d2.jpg resize: (2160, 3264) 1349298683 -5.504758910150697 treat image : temp/1743528030_2191812_1349298671_177ed4fa87b58d0e98b2c1a891f45dc4.jpg resize: (2160, 3264) 1349298671 -6.942138104241561 treat image : temp/1743528030_2191812_1349298131_1cd5bf7b2fe10e962cc58c385a0bb125.jpg resize: (2160, 3264) 1349298131 -5.230823499177889 treat image : temp/1743528030_2191812_1349296637_171bbcb8f13d9f9a6bcf6d2225f214ac.jpg resize: (2160, 3264) 1349296637 -6.744086922785576 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd.jpg resize: (2160, 3264) 1349296605 -5.765564654463542 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5.jpg resize: (2160, 3264) 1349296574 -4.61835610107578 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a.jpg resize: (2160, 3264) 1349296544 -4.5242590889035075 treat image : temp/1743528030_2191812_1349296509_4a2b36507189a55d4697b89d674396d9.jpg resize: (2160, 3264) 1349296509 -4.843192873916872 treat image : temp/1743528030_2191812_1349296482_216feb6c19be4331b2f72c9c268832af.jpg resize: (2160, 3264) 1349296482 -3.3468275507928795 treat image : temp/1743528030_2191812_1349296398_3fd996f28245f7d67f29ee0feace0d17.jpg resize: (2160, 3264) 1349296398 -3.7886068352114375 treat image : temp/1743528030_2191812_1349296394_7d4422d9fa58dcc7a74f15dc6fd88396.jpg resize: (2160, 3264) 1349296394 -3.639972876809175 treat image : temp/1743528030_2191812_1349296389_fad33807bc375d78b66abbe66c1625d1.jpg resize: (2160, 3264) 1349296389 -4.22708573329271 treat image : temp/1743528030_2191812_1349296385_73cadeeb6e94b0eacb6ca7d35ccacff4.jpg resize: (2160, 3264) 1349296385 -6.751002389457053 treat image : temp/1743528030_2191812_1349296277_147eaea653a7b3390aded33d2b296a31.jpg resize: (2160, 3264) 1349296277 -7.239630824564946 treat image : temp/1743528030_2191812_1349296212_7b597f3589e4e6e3471d35f7ead1bd93.jpg resize: (2160, 3264) 1349296212 -5.1892629115807045 treat image : temp/1743528030_2191812_1349296210_be53d7dc5adbb63739301bf84412eb67.jpg resize: (2160, 3264) 1349296210 -5.226733871344534 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16.jpg resize: (2160, 3264) 1349296206 -5.481487610066554 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb.jpg resize: (2160, 3264) 1349296201 -4.61693736556437 treat image : temp/1743528030_2191812_1349296194_ff3517a11fb28c75e7d112fc9490a5fd.jpg resize: (2160, 3264) 1349296194 -4.448755402938918 treat image : temp/1743528030_2191812_1349296189_1ca191cbbba234c6123cda854ee4f30c.jpg resize: (2160, 3264) 1349296189 -6.362929622765458 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051946_0.png resize: (334, 372) 1349330591 -1.7635006373564253 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051933_0.png resize: (183, 233) 1349330592 -2.6538987046894285 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051945_0.png resize: (259, 259) 1349330593 -3.29372818511712 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051944_0.png resize: (390, 276) 1349330594 -3.516318303654523 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051949_0.png resize: (132, 125) 1349330595 -3.4856987385236304 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051947_0.png resize: (249, 151) 1349330596 -3.998248109871185 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051940_0.png resize: (1016, 1257) 1349330597 -4.826089745305722 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051939_0.png resize: (158, 183) 1349330598 -3.3863120681672636 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051950_0.png resize: (426, 298) 1349330599 -4.411878002064176 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051960_0.png resize: (103, 92) 1349330600 -2.655011825155303 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051938_0.png resize: (108, 168) 1349330602 -3.7904777516102324 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051936_0.png resize: (133, 220) 1349330603 -3.6068848219499183 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051935_0.png resize: (560, 310) 1349330604 -4.702650868940072 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051932_0.png resize: (425, 571) 1349330605 -6.136509083779956 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051959_0.png resize: (189, 339) 1349330606 -5.13301927129906 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051934_0.png resize: (215, 199) 1349330607 -1.864881332532877 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051952_0.png resize: (382, 277) 1349330608 -4.810018072067291 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051951_0.png resize: (288, 318) 1349330609 -5.460132444922499 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051956_0.png resize: (293, 203) 1349330610 -4.201207043468963 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051937_0.png resize: (200, 128) 1349330611 -4.400635921789391 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051943_0.png resize: (227, 213) 1349330612 -4.772162488046183 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051953_0.png resize: (181, 189) 1349330613 -5.345026786602857 treat image : temp/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7_rle_crop_3743051942_0.png resize: (523, 455) 1349330614 -2.312465967133561 treat image : temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc_rle_crop_3743051972_0.png resize: (380, 323) 1349330615 -1.388806540090076 treat image : temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc_rle_crop_3743051962_0.png resize: (557, 570) 1349330616 -3.4843680741731187 treat image : temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc_rle_crop_3743051967_0.png resize: (247, 387) 1349330617 -2.583013762083901 treat image : temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc_rle_crop_3743051969_0.png resize: (122, 222) 1349330618 -2.5572900985152307 treat image : temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc_rle_crop_3743051986_0.png resize: (99, 127) 1349330619 -0.6545993208434027 treat image : temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc_rle_crop_3743051961_0.png resize: (102, 86) 1349330620 -1.7463279241429623 treat image : temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc_rle_crop_3743051991_0.png resize: (58, 63) 1349330621 -1.0603249396655068 treat image : temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc_rle_crop_3743051992_0.png resize: (158, 117) 1349330622 -1.4719613531212403 treat image : temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc_rle_crop_3743051989_0.png resize: (374, 400) 1349330623 -3.8185990426007423 treat image : temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc_rle_crop_3743051974_0.png resize: (248, 180) 1349330624 -3.0869286606921262 treat image : temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc_rle_crop_3743051963_0.png resize: (129, 127) 1349330625 -2.6159138537391327 treat image : 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temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc_rle_crop_3743051983_0.png resize: (263, 457) 1349330638 -2.3108742811689225 treat image : temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc_rle_crop_3743051975_0.png resize: (77, 137) 1349330639 -3.161521946071169 treat image : temp/1743528030_2191812_1349302592_d481d92cceca6a7145b2c6314f1faa3e_rle_crop_3743052008_0.png resize: (277, 216) 1349330640 -2.520290628307518 treat image : temp/1743528030_2191812_1349302592_d481d92cceca6a7145b2c6314f1faa3e_rle_crop_3743051994_0.png resize: (634, 525) 1349330641 -0.4533263980304958 treat image : temp/1743528030_2191812_1349302592_d481d92cceca6a7145b2c6314f1faa3e_rle_crop_3743052029_0.png resize: (195, 243) 1349330642 -2.33106652248489 treat image : temp/1743528030_2191812_1349302592_d481d92cceca6a7145b2c6314f1faa3e_rle_crop_3743052026_0.png resize: (221, 216) 1349330643 -2.448142519477227 treat image : 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temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052416_0.png resize: (171, 186) 1349330951 -2.6152870551118763 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052422_0.png resize: (151, 330) 1349330952 -3.8902777615356063 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052415_0.png resize: (432, 172) 1349330953 -3.6902538635717286 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052412_0.png resize: (312, 170) 1349330954 -2.5866000218906207 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052425_0.png resize: (135, 284) 1349330955 -3.6148438143754777 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052429_0.png resize: (182, 183) 1349330956 -3.4331770265360406 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052418_0.png resize: (295, 341) 1349330957 -3.239977028100141 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052420_0.png resize: (177, 176) 1349330958 -1.8560007515344576 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052441_0.png resize: (371, 381) 1349330959 -5.060073022822159 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052417_0.png resize: (156, 114) 1349330960 -2.0831632470976515 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052414_0.png resize: (207, 330) 1349330961 -1.8876416108256888 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052438_0.png resize: (88, 145) 1349330962 -3.1857935137231417 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052432_0.png resize: (292, 113) 1349330963 -2.1668447249899225 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052433_0.png resize: (71, 107) 1349330964 -1.1811018839324021 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052427_0.png resize: (183, 156) 1349330965 -2.9615342800939928 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052436_0.png resize: (180, 136) 1349330966 -3.0179784667050376 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052446_0.png resize: (450, 283) 1349330967 -1.5500729953420218 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052445_0.png resize: (502, 399) 1349330968 -2.267709531798734 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052470_0.png resize: (236, 233) 1349330969 -1.491409823074915 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052452_0.png resize: (848, 754) 1349330970 -2.2006955915030404 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052473_0.png resize: (177, 392) 1349330971 -1.7567058319954916 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052447_0.png resize: (236, 245) 1349330972 -2.0998325383370746 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052458_0.png resize: (138, 170) 1349330973 -2.9273451412551528 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052449_0.png resize: (146, 102) 1349330974 -3.8194479198473243 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052479_0.png resize: (72, 63) 1349330975 -3.351235794451371 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052450_0.png resize: (353, 270) 1349330976 -2.5271882100276852 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052448_0.png resize: (779, 440) 1349330977 -2.267734926172428 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052480_0.png resize: (607, 451) 1349330978 -2.3992035396269484 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052465_0.png resize: (311, 370) 1349330979 -1.5991589060220315 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052471_0.png resize: (448, 234) 1349330984 -2.5444817501380137 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052481_0.png resize: (124, 390) 1349330987 -3.71290233634479 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052472_0.png resize: (52, 80) 1349330989 -1.7756899589364725 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052482_0.png resize: (129, 82) 1349330990 -4.296975715178711 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052475_0.png resize: (222, 118) 1349330991 -2.589524847920516 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052460_0.png resize: (50, 52) 1349330992 -3.329359299609466 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052456_0.png resize: (504, 639) 1349330993 -4.046724054243149 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052462_0.png resize: (171, 212) 1349330994 -2.499004665064417 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052453_0.png resize: (416, 364) 1349330995 -3.1222274556922422 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052463_0.png resize: (355, 568) 1349330996 -3.3414734309442666 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052469_0.png resize: (437, 393) 1349330997 -3.629500763256837 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052464_0.png resize: (270, 212) 1349330998 -2.2043696551672713 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052461_0.png resize: (216, 253) 1349330999 -0.9556937248522374 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052467_0.png resize: (205, 147) 1349331000 -3.8058831245430134 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052451_0.png resize: (151, 126) 1349331001 -2.994740861946001 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052499_0.png resize: (178, 93) 1349331002 -1.8715065792703869 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052505_0.png resize: (527, 202) 1349331003 -2.763828211036807 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052511_0.png resize: (194, 274) 1349331004 -1.8579934140731784 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052486_0.png resize: (290, 211) 1349331005 -2.8223955767369477 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052525_0.png resize: (96, 172) 1349331006 -2.538030564973287 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052519_0.png resize: (123, 116) 1349331007 -2.0278405153753782 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052500_0.png resize: (286, 276) 1349331008 -2.8375484614574584 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052492_0.png resize: (110, 148) 1349331009 -2.196087786091907 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052503_0.png resize: (75, 82) 1349331010 -1.2779773102146275 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052495_0.png resize: (129, 164) 1349331011 -1.6271175908432844 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052522_0.png resize: (75, 228) 1349331012 -2.8479657809973964 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052501_0.png resize: (420, 325) 1349331013 -2.4401353743700542 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052512_0.png resize: (260, 205) 1349331014 -2.7184334054237214 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052515_0.png resize: (140, 183) 1349331015 -0.9870219452492008 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052490_0.png resize: (173, 127) 1349331016 0.0054120365288253276 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052487_0.png resize: (196, 244) 1349331017 -4.591107113200851 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052489_0.png resize: (115, 121) 1349331018 -2.358535744608498 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052491_0.png resize: (292, 212) 1349331019 -3.261545856813319 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052507_0.png resize: (298, 170) 1349331020 -4.370981078828039 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052484_0.png resize: (150, 122) 1349331021 -2.998171601920398 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052521_0.png resize: (256, 281) 1349331022 -2.988507480226694 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052488_0.png resize: (334, 560) 1349331023 -0.6866960896818528 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052502_0.png resize: (141, 183) 1349331024 -3.0655097976713463 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052485_0.png resize: (190, 152) 1349331025 -2.0507803953178194 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052498_0.png resize: (292, 192) 1349331027 -3.7062358288041426 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052510_0.png resize: (303, 322) 1349331028 -1.8548771957043597 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052493_0.png resize: (392, 759) 1349331029 -2.9912453806499646 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052517_0.png resize: (426, 374) 1349331030 -3.754910784121239 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052513_0.png resize: (202, 191) 1349331031 -1.5582505930741362 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052508_0.png resize: (235, 247) 1349331032 -3.358224522338254 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052520_0.png resize: (264, 265) 1349331033 -2.631984028271463 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052526_0.png resize: (151, 165) 1349331034 -1.0931256983411288 treat image : temp/1743528030_2191812_1349296509_4a2b36507189a55d4697b89d674396d9_rle_crop_3743052542_0.png resize: (633, 243) 1349331035 -2.0767198768726156 treat image : temp/1743528030_2191812_1349296509_4a2b36507189a55d4697b89d674396d9_rle_crop_3743052537_0.png resize: (399, 339) 1349331036 -1.4746354633622107 treat image : temp/1743528030_2191812_1349296509_4a2b36507189a55d4697b89d674396d9_rle_crop_3743052532_0.png resize: (172, 191) 1349331037 -1.49871159791003 treat image : temp/1743528030_2191812_1349296509_4a2b36507189a55d4697b89d674396d9_rle_crop_3743052547_0.png resize: (137, 346) 1349331038 -2.322548997210828 treat image : temp/1743528030_2191812_1349296509_4a2b36507189a55d4697b89d674396d9_rle_crop_3743052529_0.png resize: (187, 146) 1349331039 -2.987344892223446 treat image : temp/1743528030_2191812_1349296509_4a2b36507189a55d4697b89d674396d9_rle_crop_3743052546_0.png resize: (175, 179) 1349331040 -3.938565118808423 treat image : temp/1743528030_2191812_1349296509_4a2b36507189a55d4697b89d674396d9_rle_crop_3743052531_0.png resize: (205, 334) 1349331041 -2.5660898513941532 treat image : temp/1743528030_2191812_1349296509_4a2b36507189a55d4697b89d674396d9_rle_crop_3743052540_0.png resize: (294, 425) 1349331042 -1.647396812498726 treat image : 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temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052906_0.png resize: (196, 133) 1349331383 -2.1663285661489704 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052907_0.png resize: (169, 227) 1349331384 -2.1935947689327637 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052935_0.png resize: (151, 178) 1349331385 -2.000699825160361 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052937_0.png resize: (275, 329) 1349331386 -1.2132913500158367 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052948_0.png resize: (206, 209) 1349331389 -2.1481159434815242 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052939_0.png resize: (112, 105) 1349331390 -1.8251344275285917 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052952_0.png resize: (233, 228) 1349331392 -3.2682360665844543 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052912_0.png resize: (129, 225) 1349331393 -3.5941083542538013 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052909_0.png resize: (355, 213) 1349331394 -2.714738457959469 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052908_0.png resize: (212, 304) 1349331395 -3.609150070202233 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052928_0.png resize: (272, 322) 1349331396 -2.7867872995476985 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052932_0.png resize: (129, 143) 1349331398 -1.5871840163503221 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052918_0.png resize: (167, 192) 1349331400 -2.9265149763077196 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052922_0.png resize: (261, 329) 1349331401 -2.8350054981214856 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052926_0.png resize: (366, 159) 1349331402 -1.6850812897663585 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052910_0.png resize: (324, 182) 1349331403 -3.5365304780755515 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052924_0.png resize: (227, 429) 1349331404 -3.666687506325854 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052917_0.png resize: (360, 253) 1349331405 -3.442316320526134 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052945_0.png resize: (90, 122) 1349331406 -1.9450433050150706 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052911_0.png resize: (325, 203) 1349331407 -3.716259342350065 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052940_0.png resize: (147, 195) 1349331408 -4.301068383576026 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052914_0.png resize: (223, 156) 1349331409 -1.4291496329693814 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052921_0.png resize: (383, 422) 1349331410 -3.136859856594684 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052915_0.png resize: (112, 148) 1349331411 -2.5708121077834685 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052946_0.png resize: (154, 121) 1349331412 -1.4237489014211562 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052927_0.png resize: (86, 168) 1349331413 -3.258794790663671 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052934_0.png resize: (296, 320) 1349331414 -3.694029960234609 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052913_0.png resize: (79, 91) 1349331415 -3.624763253145406 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052919_0.png resize: (118, 78) 1349331416 -2.6916891328083077 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052931_0.png resize: (70, 215) 1349331417 -3.2850403076520225 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052947_0.png resize: (252, 206) 1349331418 -3.116083440415759 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052936_0.png resize: (394, 350) 1349331419 -3.9085212526895434 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052929_0.png resize: (323, 216) 1349331420 -3.3220467188150247 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052951_0.png resize: (138, 206) 1349331421 -3.4993224035834967 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052941_0.png resize: (374, 244) 1349331422 -1.126307824324485 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052949_0.png resize: (260, 254) 1349331423 -4.107985848028228 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052950_0.png resize: (112, 167) 1349331424 -2.1098875304017333 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052963_0.png resize: (289, 254) 1349331425 -2.469273032730342 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743053003_0.png resize: (360, 181) 1349331426 -2.909270405617347 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052994_0.png resize: (123, 139) 1349331427 -2.080390216282973 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052988_0.png resize: (316, 238) 1349331428 -3.42450498355698 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052984_0.png resize: (64, 91) 1349331429 -1.0613784821748589 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743053009_0.png resize: (103, 156) 1349331430 -2.7474948055920656 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743053000_0.png resize: (103, 130) 1349331431 -1.9513894467744568 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052967_0.png resize: (110, 124) 1349331432 -2.476380420354945 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052983_0.png resize: (109, 120) 1349331433 -1.9169565542887346 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052968_0.png resize: (241, 335) 1349331434 -2.3756430270134157 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052958_0.png resize: (407, 351) 1349331435 -2.0887292889904723 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052999_0.png resize: (111, 121) 1349331436 -1.4732746925639246 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052982_0.png resize: (152, 115) 1349331437 -2.927684133321068 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052974_0.png resize: (100, 103) 1349331438 -1.58296682504445 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052976_0.png resize: (206, 191) 1349331439 -1.685678801743107 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052993_0.png resize: (326, 424) 1349331440 -2.810908072421207 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052992_0.png resize: (150, 183) 1349331441 -2.3336696244380204 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052955_0.png resize: (133, 217) 1349331442 -2.618678805458308 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052972_0.png resize: (327, 376) 1349331443 -1.1170695819449474 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052990_0.png resize: (216, 292) 1349331444 -2.8155048058221093 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743053007_0.png resize: (253, 169) 1349331445 -1.5470301919327012 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743053014_0.png resize: (110, 84) 1349331446 -0.3670582474212255 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052960_0.png resize: (424, 481) 1349331447 -3.101418602994066 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743053001_0.png resize: (140, 166) 1349331448 -1.9600230681006863 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052980_0.png resize: (166, 119) 1349331449 -2.329293524516453 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052981_0.png resize: (122, 115) 1349331450 -2.7877704841675057 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052970_0.png resize: (126, 391) 1349331451 -1.7750125349976291 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052997_0.png resize: (107, 122) 1349331452 -1.0900008450264582 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052985_0.png resize: (292, 320) 1349331453 -1.6643665076585588 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052973_0.png resize: (183, 176) 1349331455 -2.2612285125824685 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052957_0.png resize: (111, 129) 1349331456 -3.173350166637833 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743053011_0.png resize: (96, 91) 1349331457 -3.6006449620110064 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052971_0.png resize: (264, 292) 1349331458 -1.9701099068666028 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743053004_0.png resize: (371, 313) 1349331459 -3.819102643428099 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052986_0.png resize: (126, 143) 1349331460 -3.9885658735321723 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052979_0.png resize: (132, 108) 1349331461 -2.6137656991289737 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743053006_0.png resize: (124, 234) 1349331462 -3.7144308089846176 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052966_0.png resize: (164, 128) 1349331463 -1.468781835333296 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052965_0.png resize: (298, 175) 1349331464 -4.057255254714969 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052954_0.png resize: (348, 304) 1349331466 -1.3471411830827 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052961_0.png resize: (419, 623) 1349331467 -3.4569871368538845 treat image : 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temp/1743528030_2191812_1349296637_171bbcb8f13d9f9a6bcf6d2225f214ac_rle_crop_3743052375_0.png resize: (1076, 536) 1349331768 -3.2645525598826826 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052413_0.png resize: (404, 300) 1349331769 -2.6700822899746104 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052434_0.png resize: (223, 358) 1349331770 -2.1660675589012226 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052439_0.png resize: (90, 170) 1349331771 -4.308571089641453 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052423_0.png resize: (227, 248) 1349331772 -3.167090023472467 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052410_0.png resize: (1054, 562) 1349331773 -2.3297978409578532 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052437_0.png resize: (766, 524) 1349331774 -4.749891971114396 treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052443_0.png resize: (292, 201) 1349331775 -2.9803819375251117 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052444_0.png resize: (329, 240) 1349331776 -3.3769951802395064 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052483_0.png resize: (135, 137) 1349331777 -1.4527890942828832 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052474_0.png resize: (91, 177) 1349331778 -2.8756826145938112 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052478_0.png resize: (354, 392) 1349331779 -4.332463898804138 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052476_0.png resize: (230, 146) 1349331780 -3.7175123795845 treat image : temp/1743528030_2191812_1349296574_20872def0aa791d52aa1c8b062439ab5_rle_crop_3743052454_0.png resize: (221, 349) 1349331781 -3.336981979478219 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052509_0.png resize: (228, 270) 1349331782 -3.9705037090465884 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052496_0.png resize: (326, 205) 1349331783 -1.49074454791942 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052528_0.png resize: (203, 103) 1349331784 -1.0276166551630284 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052494_0.png resize: (235, 545) 1349331785 -2.4214472033371557 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052523_0.png resize: (364, 214) 1349331786 -1.3285751463918771 treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052497_0.png resize: (349, 653) 1349331787 -1.4010690862576378 treat image : temp/1743528030_2191812_1349296509_4a2b36507189a55d4697b89d674396d9_rle_crop_3743052536_0.png resize: (316, 641) 1349331788 -2.0242398259057484 treat image : temp/1743528030_2191812_1349296509_4a2b36507189a55d4697b89d674396d9_rle_crop_3743052535_0.png resize: (75, 114) 1349331790 -1.1495111792433297 treat image : temp/1743528030_2191812_1349296509_4a2b36507189a55d4697b89d674396d9_rle_crop_3743052545_0.png resize: (295, 251) 1349331791 -1.717361138367163 treat image : temp/1743528030_2191812_1349296482_216feb6c19be4331b2f72c9c268832af_rle_crop_3743052575_0.png resize: (128, 142) 1349331792 -2.5119880494208484 treat image : temp/1743528030_2191812_1349296482_216feb6c19be4331b2f72c9c268832af_rle_crop_3743052573_0.png resize: (267, 191) 1349331793 -0.6827653974894493 treat image : temp/1743528030_2191812_1349296482_216feb6c19be4331b2f72c9c268832af_rle_crop_3743052566_0.png resize: (626, 630) 1349331794 -2.541683760062387 treat image : temp/1743528030_2191812_1349296482_216feb6c19be4331b2f72c9c268832af_rle_crop_3743052561_0.png resize: (295, 121) 1349331795 -1.9485224307667097 treat image : temp/1743528030_2191812_1349296482_216feb6c19be4331b2f72c9c268832af_rle_crop_3743052577_0.png resize: (321, 291) 1349331796 -1.8007409811256179 treat image : temp/1743528030_2191812_1349296482_216feb6c19be4331b2f72c9c268832af_rle_crop_3743052574_0.png resize: (324, 605) 1349331797 -3.105366157043327 treat image : temp/1743528030_2191812_1349296482_216feb6c19be4331b2f72c9c268832af_rle_crop_3743052576_0.png resize: (172, 183) 1349331798 -2.5644488161686425 treat image : temp/1743528030_2191812_1349296482_216feb6c19be4331b2f72c9c268832af_rle_crop_3743052559_0.png resize: (381, 353) 1349331799 -3.3338536568920234 treat image : temp/1743528030_2191812_1349296482_216feb6c19be4331b2f72c9c268832af_rle_crop_3743052563_0.png resize: (149, 173) 1349331800 -1.9033822068534059 treat image : temp/1743528030_2191812_1349296482_216feb6c19be4331b2f72c9c268832af_rle_crop_3743052560_0.png resize: (64, 139) 1349331802 -2.543409919668291 treat image : temp/1743528030_2191812_1349296398_3fd996f28245f7d67f29ee0feace0d17_rle_crop_3743052589_0.png resize: (169, 236) 1349331803 -2.4822573518857887 treat image : temp/1743528030_2191812_1349296398_3fd996f28245f7d67f29ee0feace0d17_rle_crop_3743052596_0.png resize: (244, 137) 1349331804 -2.95759378794463 treat image : temp/1743528030_2191812_1349296394_7d4422d9fa58dcc7a74f15dc6fd88396_rle_crop_3743052657_0.png resize: (161, 208) 1349331805 -1.4354970094157478 treat image : temp/1743528030_2191812_1349296394_7d4422d9fa58dcc7a74f15dc6fd88396_rle_crop_3743052637_0.png resize: (94, 181) 1349331806 -1.5182029033870335 treat image : temp/1743528030_2191812_1349296394_7d4422d9fa58dcc7a74f15dc6fd88396_rle_crop_3743052638_0.png resize: (70, 131) 1349331807 -0.3060795393160378 treat image : temp/1743528030_2191812_1349296394_7d4422d9fa58dcc7a74f15dc6fd88396_rle_crop_3743052645_0.png resize: (78, 133) 1349331808 -2.177786459871596 treat image : temp/1743528030_2191812_1349296394_7d4422d9fa58dcc7a74f15dc6fd88396_rle_crop_3743052639_0.png resize: (138, 94) 1349331809 -2.762810658955404 treat image : temp/1743528030_2191812_1349296389_fad33807bc375d78b66abbe66c1625d1_rle_crop_3743052665_0.png resize: (453, 379) 1349331810 -1.2562900152517642 treat image : temp/1743528030_2191812_1349296389_fad33807bc375d78b66abbe66c1625d1_rle_crop_3743052676_0.png resize: (306, 191) 1349331811 -2.6290883652065844 treat image : temp/1743528030_2191812_1349296385_73cadeeb6e94b0eacb6ca7d35ccacff4_rle_crop_3743052691_0.png resize: (218, 164) 1349331812 -4.455078920642567 treat image : temp/1743528030_2191812_1349296385_73cadeeb6e94b0eacb6ca7d35ccacff4_rle_crop_3743052705_0.png resize: (83, 56) 1349331813 -3.1556210509919382 treat image : temp/1743528030_2191812_1349296385_73cadeeb6e94b0eacb6ca7d35ccacff4_rle_crop_3743052690_0.png resize: (428, 321) 1349331814 -3.132392109371711 treat image : temp/1743528030_2191812_1349296385_73cadeeb6e94b0eacb6ca7d35ccacff4_rle_crop_3743052694_0.png resize: (127, 139) 1349331815 -3.152901741190541 treat image : temp/1743528030_2191812_1349296385_73cadeeb6e94b0eacb6ca7d35ccacff4_rle_crop_3743052688_0.png resize: (245, 265) 1349331816 -4.729767931237524 treat image : temp/1743528030_2191812_1349296385_73cadeeb6e94b0eacb6ca7d35ccacff4_rle_crop_3743052704_0.png resize: (815, 516) 1349331817 -5.880281201707503 treat image : temp/1743528030_2191812_1349296212_7b597f3589e4e6e3471d35f7ead1bd93_rle_crop_3743052798_0.png resize: (162, 214) 1349331818 -2.4726646917230495 treat image : temp/1743528030_2191812_1349296212_7b597f3589e4e6e3471d35f7ead1bd93_rle_crop_3743052834_0.png resize: (187, 222) 1349331819 -2.1985898875078993 treat image : temp/1743528030_2191812_1349296212_7b597f3589e4e6e3471d35f7ead1bd93_rle_crop_3743052814_0.png resize: (265, 207) 1349331820 -3.327390343466308 treat image : temp/1743528030_2191812_1349296212_7b597f3589e4e6e3471d35f7ead1bd93_rle_crop_3743052832_0.png resize: (268, 244) 1349331821 -4.034668802808217 treat image : temp/1743528030_2191812_1349296212_7b597f3589e4e6e3471d35f7ead1bd93_rle_crop_3743052816_0.png resize: (139, 176) 1349331822 -3.2325975173637014 treat image : temp/1743528030_2191812_1349296210_be53d7dc5adbb63739301bf84412eb67_rle_crop_3743052889_0.png resize: (275, 336) 1349331823 -2.0042666482725338 treat image : temp/1743528030_2191812_1349296210_be53d7dc5adbb63739301bf84412eb67_rle_crop_3743052855_0.png resize: (86, 161) 1349331824 -1.6550906752609038 treat image : temp/1743528030_2191812_1349296210_be53d7dc5adbb63739301bf84412eb67_rle_crop_3743052869_0.png resize: (271, 333) 1349331825 -3.4314048372837984 treat image : temp/1743528030_2191812_1349296210_be53d7dc5adbb63739301bf84412eb67_rle_crop_3743052898_0.png resize: (137, 217) 1349331826 -2.266972245398026 treat image : temp/1743528030_2191812_1349296210_be53d7dc5adbb63739301bf84412eb67_rle_crop_3743052880_0.png resize: (168, 117) 1349331827 -2.9915310105891315 treat image : temp/1743528030_2191812_1349296210_be53d7dc5adbb63739301bf84412eb67_rle_crop_3743052861_0.png resize: (169, 170) 1349331828 -2.9563298586811997 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052944_0.png resize: (119, 265) 1349331829 -2.2466873396704257 treat image : temp/1743528030_2191812_1349296206_69105ab5502ee7f10fd4863eb143da16_rle_crop_3743052916_0.png resize: (190, 202) 1349331830 -2.3376486748080465 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052977_0.png resize: (135, 146) 1349331831 -1.8002036302304176 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743053008_0.png resize: (334, 378) 1349331832 -2.2667475518970486 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052978_0.png resize: (160, 123) 1349331833 -2.398945900336714 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052996_0.png resize: (284, 188) 1349331834 -1.382084534221357 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052975_0.png resize: (185, 120) 1349331835 -1.8880898430414021 treat image : 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temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052998_0.png resize: (445, 631) 1349331843 -2.556303223148676 treat image : temp/1743528030_2191812_1349296194_ff3517a11fb28c75e7d112fc9490a5fd_rle_crop_3743053047_0.png resize: (172, 170) 1349331844 -1.985821058262703 treat image : temp/1743528030_2191812_1349296194_ff3517a11fb28c75e7d112fc9490a5fd_rle_crop_3743053028_0.png resize: (256, 207) 1349331845 -1.8345840128012099 treat image : temp/1743528030_2191812_1349296194_ff3517a11fb28c75e7d112fc9490a5fd_rle_crop_3743053054_0.png resize: (127, 190) 1349331846 -2.168443148921233 treat image : temp/1743528030_2191812_1349296194_ff3517a11fb28c75e7d112fc9490a5fd_rle_crop_3743053064_0.png resize: (106, 140) 1349331847 -0.8144201414237187 treat image : temp/1743528030_2191812_1349296194_ff3517a11fb28c75e7d112fc9490a5fd_rle_crop_3743053043_0.png resize: (238, 247) 1349331848 -3.9089653066375365 treat image : 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temp/1743528030_2191812_1349299246_e605618dbbbce3c1eba5bdb14ac781c4_rle_crop_3743052166_0.png resize: (196, 517) 1349332013 -1.4768680680733672 treat image : temp/1743528030_2191812_1349299221_5f68c43fbf22abbb6e28f8318fccf440_rle_crop_3743052201_0.png resize: (325, 339) 1349332014 -1.9117073825606348 treat image : temp/1743528030_2191812_1349299221_5f68c43fbf22abbb6e28f8318fccf440_rle_crop_3743052187_0.png resize: (182, 231) 1349332015 -3.6256928072834267 treat image : temp/1743528030_2191812_1349299221_5f68c43fbf22abbb6e28f8318fccf440_rle_crop_3743052191_0.png resize: (137, 480) 1349332016 -1.400033059320932 treat image : temp/1743528030_2191812_1349299221_5f68c43fbf22abbb6e28f8318fccf440_rle_crop_3743052197_0.png resize: (125, 174) 1349332017 -2.442797564264654 treat image : temp/1743528030_2191812_1349299221_5f68c43fbf22abbb6e28f8318fccf440_rle_crop_3743052193_0.png resize: (293, 266) 1349332018 -4.0848067381069075 treat image : temp/1743528030_2191812_1349299192_dfb92dd791805246f73c0991abb9f564_rle_crop_3743052239_0.png resize: (679, 546) 1349332019 -4.66838187602593 treat image : temp/1743528030_2191812_1349299192_dfb92dd791805246f73c0991abb9f564_rle_crop_3743052224_0.png resize: (284, 180) 1349332020 -3.836643613801477 treat image : temp/1743528030_2191812_1349299192_dfb92dd791805246f73c0991abb9f564_rle_crop_3743052231_0.png resize: (408, 661) 1349332021 -5.38106997290074 treat image : temp/1743528030_2191812_1349299192_dfb92dd791805246f73c0991abb9f564_rle_crop_3743052233_0.png resize: (339, 333) 1349332022 -4.041041695906123 treat image : temp/1743528030_2191812_1349298683_eda262b1eaceb071b0348163730126d2_rle_crop_3743052276_0.png resize: (187, 642) 1349332023 -4.550946195591414 treat image : temp/1743528030_2191812_1349298671_177ed4fa87b58d0e98b2c1a891f45dc4_rle_crop_3743052307_0.png resize: (578, 522) 1349332024 -3.0110432783061185 treat image : temp/1743528030_2191812_1349298671_177ed4fa87b58d0e98b2c1a891f45dc4_rle_crop_3743052321_0.png resize: (247, 467) 1349332025 -4.336164680018834 treat image : temp/1743528030_2191812_1349298671_177ed4fa87b58d0e98b2c1a891f45dc4_rle_crop_3743052277_0.png resize: (257, 470) 1349332026 -2.8574768501843977 treat image : temp/1743528030_2191812_1349298671_177ed4fa87b58d0e98b2c1a891f45dc4_rle_crop_3743052315_0.png resize: (267, 117) 1349332027 -3.5881789425327133 treat image : temp/1743528030_2191812_1349298131_1cd5bf7b2fe10e962cc58c385a0bb125_rle_crop_3743052365_0.png resize: (185, 321) 1349332028 -2.7255729643923594 treat image : temp/1743528030_2191812_1349298131_1cd5bf7b2fe10e962cc58c385a0bb125_rle_crop_3743052350_0.png resize: (376, 264) 1349332029 -3.4201406385579736 treat image : temp/1743528030_2191812_1349296637_171bbcb8f13d9f9a6bcf6d2225f214ac_rle_crop_3743052388_0.png resize: (282, 466) 1349332030 -3.76929485948559 treat image : 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temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743053012_0.png resize: (191, 239) 1349332146 -0.4187055298537825 treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743053010_0.png resize: (153, 330) 1349332147 -4.236573149259936 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 : 1248 time used for this insertion : 0.10106515884399414 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 1248 time used for this insertion : 0.3837897777557373 save missing photos in datou_result : time spend for datou_step_exec : 120.13175940513611 time spend to save output : 0.49787116050720215 total time spend for step 6 : 120.62963056564331 step7:brightness Tue Apr 1 19:55:36 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec 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/1743528030_2191812_1349302784_e846a4ef98bf25fff4274c60d11ea6a7.jpg treat image : temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc.jpg treat image : temp/1743528030_2191812_1349302592_d481d92cceca6a7145b2c6314f1faa3e.jpg treat image : temp/1743528030_2191812_1349302579_dac2b4d79af303df6d007e93bf1a1586.jpg treat image : temp/1743528030_2191812_1349302265_0d25427dd1d64e004ae9cf7f6615a0d8.jpg treat image : temp/1743528030_2191812_1349301019_43ec3c37420f05c4fd993542a7e8822a.jpg treat image : temp/1743528030_2191812_1349301016_51609eace2c7cef80fc3585c127b4310.jpg treat image : temp/1743528030_2191812_1349299246_e605618dbbbce3c1eba5bdb14ac781c4.jpg treat image : temp/1743528030_2191812_1349299221_5f68c43fbf22abbb6e28f8318fccf440.jpg treat image : temp/1743528030_2191812_1349299192_dfb92dd791805246f73c0991abb9f564.jpg treat image : 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temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743052987_0.png treat image : temp/1743528030_2191812_1349302642_70802129419be489629d6dba713ceddc_rle_crop_3743051976_0.png treat image : temp/1743528030_2191812_1349296605_6de79aca085501698c33406f1c547fbd_rle_crop_3743052442_0.png treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052527_0.png treat image : temp/1743528030_2191812_1349296544_e42c11c700d0645f4891cd12c1b62f1a_rle_crop_3743052506_0.png treat image : temp/1743528030_2191812_1349296398_3fd996f28245f7d67f29ee0feace0d17_rle_crop_3743052610_0.png treat image : temp/1743528030_2191812_1349296398_3fd996f28245f7d67f29ee0feace0d17_rle_crop_3743052616_0.png treat image : temp/1743528030_2191812_1349296277_147eaea653a7b3390aded33d2b296a31_rle_crop_3743052772_0.png treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743053012_0.png treat image : temp/1743528030_2191812_1349296201_3526d2e0a43c7256edd42e1c478ebbdb_rle_crop_3743053010_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 : 1248 time used for this insertion : 0.09103655815124512 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 1248 time used for this insertion : 0.32953357696533203 save missing photos in datou_result : time spend for datou_step_exec : 34.086585998535156 time spend to save output : 0.43356919288635254 total time spend for step 7 : 34.52015519142151 step8:velours_tree Tue Apr 1 19:56:10 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 VR 22-3-18 : For now we do not clean correctly the datou structure can't find the photo_desc_type Inside saveOutput : final : False verbose : 0 ouput is None No outpout to save, returning out of save general time spend for datou_step_exec : 0.46306657791137695 time spend to save output : 6.580352783203125e-05 total time spend for step 8 : 0.463132381439209 step9:send_mail_cod Tue Apr 1 19:56:11 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 complete output_args for input 1 Inconsistent number of input and output, step which parrallelize and manage error in input by avoiding sending an output for this data can't be used in tree dependencies of input and output complete output_args for input 2 Inconsistent number of input and output, step which parrallelize and manage error in input by avoiding sending an output for this data can't be used in tree dependencies of input and output complete output_args for input 3 We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure dans la step send mail cod work_area: /home/admin/workarea/git/Velours/python in order to get the selector url, please entre the license of selector results_Auto_P21951749_01-04-2025_19_56_11.pdf 21956110 imagette219561101743530171 21956111 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 .imagette219561111743530171 21956112 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 .imagette219561121743530172 21956113 imagette219561131743530174 21956114 imagette219561141743530174 21956115 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 .imagette219561151743530174 21956117 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 .imagette219561171743530174 21956118 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 .imagette219561181743530176 21956119 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 .imagette219561191743530177 21956120 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 .imagette219561201743530178 SELECT h.hashtag,pcr.value FROM MTRUser.portfolio_carac_ratio pcr, MTRBack.hashtags h where pcr.portfolio_id=21951749 and hashtag_type = 3594 and pcr.hashtag_id = h.hashtag_id; velour_link : https://www.fotonower.com/velours/21956110,21956111,21956112,21956113,21956114,21956115,21956116,21956117,21956118,21956119,21956120?tags=flou,autre,pet_clair,background,mal_croppe,pehd,environnement,carton,papier,metal,pet_fonce args[1349302784] : ((1349302784, -6.717475329789597, 492609224), (1349302784, -0.15599195167837773, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349302642] : ((1349302642, -4.709583424654793, 492609224), (1349302642, -0.03749895536137856, 2107752395), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349302592] : ((1349302592, -2.411382489394999, 492609224), (1349302592, -0.22849274601000363, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349302579] : ((1349302579, -0.7250482629466185, 492688767), (1349302579, 0.24035291266416092, 2107752395), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349302265] : ((1349302265, -2.2441735651507893, 492609224), (1349302265, 0.2454444468058183, 2107752395), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349301019] : ((1349301019, -5.946472236764194, 492609224), (1349301019, -0.19671799798926054, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349301016] : ((1349301016, -2.254273780361674, 492609224), (1349301016, -0.09363649562737075, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349299246] : ((1349299246, -4.600139128275189, 492609224), (1349299246, -0.05585301775993499, 2107752395), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349299221] : ((1349299221, -2.5064831525573794, 492609224), (1349299221, -0.11910200156201382, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349299192] : ((1349299192, -7.4816707267286455, 492609224), (1349299192, -0.11315493385193515, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349298683] : ((1349298683, -5.504758910150697, 492609224), (1349298683, -0.133893822560774, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349298671] : ((1349298671, -6.942138104241561, 492609224), (1349298671, -0.24713177452072752, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349298131] : ((1349298131, -5.230823499177889, 492609224), (1349298131, -0.38502858442349225, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296637] : ((1349296637, -6.744086922785576, 492609224), (1349296637, -0.19290362710383327, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296605] : ((1349296605, -5.765564654463542, 492609224), (1349296605, -0.15440340531578484, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296574] : ((1349296574, -4.61835610107578, 492609224), (1349296574, -0.09727921499400467, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296544] : ((1349296544, -4.5242590889035075, 492609224), (1349296544, -0.28885520887863725, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296509] : ((1349296509, -4.843192873916872, 492609224), (1349296509, -0.3978948161248122, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296482] : ((1349296482, -3.3468275507928795, 492609224), (1349296482, -0.014534918519214077, 2107752395), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296398] : ((1349296398, -3.7886068352114375, 492609224), (1349296398, -0.0907151229293273, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296394] : ((1349296394, -3.639972876809175, 492609224), (1349296394, -0.24922369931961036, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296389] : ((1349296389, -4.22708573329271, 492609224), (1349296389, 0.26160921271711485, 2107752395), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296385] : ((1349296385, -6.751002389457053, 492609224), (1349296385, -0.16360334543862298, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296277] : ((1349296277, -7.239630824564946, 492609224), (1349296277, -0.13862330081082272, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296212] : ((1349296212, -5.1892629115807045, 492609224), (1349296212, -0.14370098009695623, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296210] : ((1349296210, -5.226733871344534, 492609224), (1349296210, -0.08166090912590593, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296206] : ((1349296206, -5.481487610066554, 492609224), (1349296206, 0.047094951438126025, 2107752395), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296201] : ((1349296201, -4.61693736556437, 492609224), (1349296201, -0.1654428844523662, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296194] : ((1349296194, -4.448755402938918, 492609224), (1349296194, -0.10041320234763723, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com args[1349296189] : ((1349296189, -6.362929622765458, 492609224), (1349296189, -0.2682572403422784, 496442774), '0.24201299057431616') We are sending mail with results at report@fotonower.com refus_total : 0.24201299057431616 2022-04-13 10:29:59 0 SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=21951749 AND mpp.hide_status=0 ORDER BY mpp.order LIMIT 0, 1000 SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (1349298131,1349296574,1349296509,1349296482,1349296194,1349302642,1349301019,1349299192,1349296637,1349296605,1349296212,1349296210,1349296201,1349296206,1349302784,1349296398,1349296189,1349302592,1349302579,1349302265) Found this number of photos: 20 begin to download photo : 1349298131 begin to download photo : 1349302642 begin to download photo : 1349296212 begin to download photo : 1349296398 download finish for photo 1349302642 begin to download photo : 1349301019 download finish for photo 1349298131 begin to download photo : 1349296574 download finish for photo 1349296398 begin to download photo : 1349296189 download finish for photo 1349296212 begin to download photo : 1349296210 download finish for photo 1349296574 begin to download photo : 1349296509 download finish for photo 1349301019 begin to download photo : 1349299192 download finish for photo 1349296509 begin to download photo : 1349296482 download finish for photo 1349296210 begin to download photo : 1349296201 download finish for photo 1349299192 begin to download photo : 1349296637 download finish for photo 1349296189 begin to download photo : 1349302592 download finish for photo 1349296482 begin to download photo : 1349296194 download finish for photo 1349296637 begin to download photo : 1349296605 download finish for photo 1349302592 begin to download photo : 1349302579 download finish for photo 1349296201 begin to download photo : 1349296206 download finish for photo 1349296194 download finish for photo 1349302579 begin to download photo : 1349302265 download finish for photo 1349296206 begin to download photo : 1349302784 download finish for photo 1349296605 download finish for photo 1349302265 download finish for photo 1349302784 start upload file to ovh https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P21951749_01-04-2025_19_56_11.pdf results_Auto_P21951749_01-04-2025_19_56_11.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P21951749_01-04-2025_19_56_11.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','21951749','results_Auto_P21951749_01-04-2025_19_56_11.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P21951749_01-04-2025_19_56_11.pdf','pdf','','1.46','0.24201299057431616') message_in_mail: Bonjour,
Veuillez trouver ci dessous les résultats du service carac on demand pour le portfolio: https://www.fotonower.com/view/21951749

https://www.fotonower.com/image?json=false&list_photos_id=1349302784
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349302642
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349302592
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349302579
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349302265
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349301019
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349301016
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349299246
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349299221
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349299192
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349298683
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349298671
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349298131
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296637
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296605
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296574
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296544
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296509
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296482
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296398
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296394
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296389
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296385
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296277
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296212
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296210
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296206
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296201
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296194
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1349296189
Bravo, la photo est bien prise.

Dans ces conditions,le taux de refus est: 24.20%
Veuillez trouver les photos des contaminants.

exemples de contaminants: autre: https://www.fotonower.com/view/21956111?limit=200
exemples de contaminants: pet_clair: https://www.fotonower.com/view/21956112?limit=200
exemples de contaminants: pehd: https://www.fotonower.com/view/21956115?limit=200
exemples de contaminants: carton: https://www.fotonower.com/view/21956117?limit=200
exemples de contaminants: papier: https://www.fotonower.com/view/21956118?limit=200
exemples de contaminants: metal: https://www.fotonower.com/view/21956119?limit=200
exemples de contaminants: pet_fonce: https://www.fotonower.com/view/21956120?limit=200
Veuillez trouver le rapport en pdf:https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P21951749_01-04-2025_19_56_11.pdf.

Lien vers velours :https://www.fotonower.com/velours/21956110,21956111,21956112,21956113,21956114,21956115,21956116,21956117,21956118,21956119,21956120?tags=flou,autre,pet_clair,background,mal_croppe,pehd,environnement,carton,papier,metal,pet_fonce.


L'équipe Fotonower 202 b'' Server: nginx Date: Tue, 01 Apr 2025 17:56:24 GMT Content-Length: 0 Connection: close X-Message-Id: 2Ml-y8eXRI6Nm9lsAbW3lg Access-Control-Allow-Origin: https://sendgrid.api-docs.io Access-Control-Allow-Methods: POST Access-Control-Allow-Headers: Authorization, Content-Type, On-behalf-of, x-sg-elas-acl Access-Control-Max-Age: 600 X-No-CORS-Reason: https://sendgrid.com/docs/Classroom/Basics/API/cors.html Strict-Transport-Security: max-age=31536000; includeSubDomains Content-Security-Policy: frame-ancestors 'none' Cache-Control: no-cache X-Content-Type-Options: no-sniff Referrer-Policy: strict-origin-when-cross-origin Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : send_mail_cod we use saveGeneral [1349302784, 1349302642, 1349302592, 1349302579, 1349302265, 1349301019, 1349301016, 1349299246, 1349299221, 1349299192, 1349298683, 1349298671, 1349298131, 1349296637, 1349296605, 1349296574, 1349296544, 1349296509, 1349296482, 1349296398, 1349296394, 1349296389, 1349296385, 1349296277, 1349296212, 1349296210, 1349296206, 1349296201, 1349296194, 1349296189] 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, '2713807') ('3318', '21951749', '1349302784', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302642', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302592', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302579', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302265', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349301019', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349301016', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299246', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299221', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299192', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298683', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298671', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298131', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296637', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296605', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296574', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296544', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296509', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296482', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296398', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296394', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296389', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296385', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296277', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296212', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296210', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296206', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296201', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296194', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296189', None, None, None, None, None, '2713807') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 30 time used for this insertion : 0.014702558517456055 save_final save missing photos in datou_result : time spend for datou_step_exec : 13.303138494491577 time spend to save output : 0.015065670013427734 total time spend for step 9 : 13.318204164505005 step10:split_time_score Tue Apr 1 19:56:24 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! complete output_args for input 1 VR 22-3-18 : For now we do not clean correctly the datou structure begin split time score Catched exception ! Connect or reconnect ! TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}] thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('15', 19), ('16', 11)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} 01042025 21951749 Nombre de photos uploadées : 30 / 23040 (0%) 01042025 21951749 Nombre de photos taguées (types de déchets): 0 / 30 (0%) 01042025 21951749 Nombre de photos taguées (volume) : 0 / 30 (0%) elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 9.5367431640625e-06 ?????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.001293182373046875 elapsed_time : insert_dashboard_record_day_entry 0.040914058685302734 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 : 0.19774587565145885 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P21941555_01-04-2025_10_34_21.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 21941555 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`=21941555 AND mptpi.`type`=3594 To do Qualite : 0.10205312159586055 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 21944149 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`=21944149 AND mptpi.`type`=3594 To do Qualite : 0.06586668547792947 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P21943744_01-04-2025_12_02_21.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 21943744 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`=21943744 AND mptpi.`type`=3726 To do Qualite : 0.12565741349965417 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P21948989_01-04-2025_16_21_03.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 21948989 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`=21948989 AND mptpi.`type`=3726 To do Qualite : 0.24201299057431616 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P21951749_01-04-2025_19_56_11.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 21951749 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`=21951749 AND mptpi.`type`=3594 To do Qualite : 0.19322973402323884 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P21951755_01-04-2025_18_08_54.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 21951755 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`=21951755 AND mptpi.`type`=3594 To do NUMBER BATCH : 0 # DISPLAY ALL COLLECTED DATA : {'01042025': {'nb_upload': 30, '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 [1349302784, 1349302642, 1349302592, 1349302579, 1349302265, 1349301019, 1349301016, 1349299246, 1349299221, 1349299192, 1349298683, 1349298671, 1349298131, 1349296637, 1349296605, 1349296574, 1349296544, 1349296509, 1349296482, 1349296398, 1349296394, 1349296389, 1349296385, 1349296277, 1349296212, 1349296210, 1349296206, 1349296201, 1349296194, 1349296189] Looping around the photos to save general results len do output : 1 /21951749Didn'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, '2713807') ('3318', '21951749', '1349302784', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302642', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302592', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302579', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349302265', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349301019', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349301016', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299246', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299221', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349299192', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298683', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298671', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349298131', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296637', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296605', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296574', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296544', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296509', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296482', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296398', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296394', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296389', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296385', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296277', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296212', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296210', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296206', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296201', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296194', None, None, None, None, None, '2713807') ('3318', None, None, None, None, None, None, None, '2713807') ('3318', '21951749', '1349296189', None, None, None, None, None, '2713807') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 31 time used for this insertion : 0.01745152473449707 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.4910774230957031 time spend to save output : 0.017889022827148438 total time spend for step 10 : 1.5089664459228516 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 30 set_done_treatment 906.97user 440.91system 36:00.09elapsed 62%CPU (0avgtext+0avgdata 9102916maxresident)k 55732640inputs+644792outputs (2073329major+77902295minor)pagefaults 0swaps