python /home/admin/mtr/script_for_cron.py -j default -m 20 -a 'python3 ~/workarea/git/Velours/python/prod/datou.py -j batch_current -C 2523642' -s traitement_4234 -M 0 -S 0 -U 100,80,95 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/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', '/home/admin/workarea/git/apy', '/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 : 2826529 load datou : 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) 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 : step 0 init_dummy_multi_datou is not linked in the step_by_step architecture ! WARNING : step 1294 init_dummy_multi_datou is not linked in the step_by_step architecture ! 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 ! 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 : (photo_id, hashtag_id, score_max) was removed should we ? (x0, y0, x1, y1) was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (x0, y0, x1, y1) was removed should we ? chemin de la photo was removed should we ? load thcls load pdts 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 : 4234, datou_cur_ids : ['2523642'] with mtr_portfolio_ids : ['20024140'] and first list_photo_ids : [] new path : /proc/2826529/ 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 ! 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 11415 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11419 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11419 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11416 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11416 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11417 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11417 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11422 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 : output 0 of step 11416 have datatype=10 whereas input 2 of step 11418 have datatype=6 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11419 doesn't seem to be define in the database( WARNING : output 1 of step 11415 have datatype=7 whereas input 2 of step 11419 have datatype=None WARNING : type of output 3 of step 11419 doesn't seem to be define in the database( WARNING : type of input 1 of step 11416 doesn't seem to be define in the database( WARNING : type of output 1 of step 11416 doesn't seem to be define in the database( WARNING : type of input 3 of step 11417 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11416 have datatype=10 whereas input 0 of step 11420 have datatype=18 WARNING : type of input 5 of step 11418 doesn't seem to be define in the database( WARNING : output 0 of step 11420 have datatype=11 whereas input 5 of step 11418 have datatype=None WARNING : type of input 2 of step 11416 doesn't seem to be define in the database( WARNING : output 0 of step 11421 have datatype=5 whereas input 2 of step 11416 have datatype=None WARNING : output 0 of step 11418 have datatype=10 whereas input 0 of step 11422 have datatype=18 DataTypes for each output/input checked ! List Step Type Loaded in datou : mask_detect, brightness, blur_detection, rle_unique_nms_with_priority, crop_condition, thcl, ventilate_hashtags_in_portfolio, final, velours_tree, send_mail_cod, split_time_score over limit max, limiting to limit_max 21 list_input_json : [] origin We have 1 , WARNING: data may be incomplete, need to offset and complete ! BFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 4 ; length of list_pids : 4 ; length of list_args : 4 time to download the photos : 0.6635453701019287 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 : 11 step1:mask_detect Wed Feb 12 10:18:16 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 : 10553 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-02-12 10:18:19.694388: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-02-12 10:18:19.723157: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-02-12 10:18:19.725532: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f26b8000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-02-12 10:18:19.725601: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-02-12 10:18:19.730024: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-02-12 10:18:19.952200: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1bb6ce40 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-02-12 10:18:19.952277: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-02-12 10:18:19.953949: 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 2025-02-12 10:18:19.954464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 10:18:19.957807: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-12 10:18:19.960783: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-02-12 10:18:19.961200: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-02-12 10:18:19.964017: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-02-12 10:18:19.965372: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-02-12 10:18:19.970441: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-12 10:18:19.972069: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-02-12 10:18:19.972186: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 10:18:19.973031: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-02-12 10:18:19.973052: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-02-12 10:18:19.973063: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-02-12 10:18:19.974497: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9777 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. 2025-02-12 10:18:20.316919: 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 2025-02-12 10:18:20.317029: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 10:18:20.317065: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-12 10:18:20.317094: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-02-12 10:18:20.317142: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-02-12 10:18:20.317171: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-02-12 10:18:20.317202: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-02-12 10:18:20.317232: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-12 10:18:20.319558: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-02-12 10:18:20.320886: 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 2025-02-12 10:18:20.320920: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-12 10:18:20.320937: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-12 10:18:20.320953: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-02-12 10:18:20.320971: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-02-12 10:18:20.320991: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-02-12 10:18:20.321008: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-02-12 10:18:20.321024: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-12 10:18:20.322314: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-02-12 10:18:20.322341: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-02-12 10:18:20.322350: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-02-12 10:18:20.322358: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-02-12 10:18:20.323877: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9777 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 : [] 2025-02-12 10:18:29.126064: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-12 10:18:29.307677: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 local folder : /data/models_weight/learn_RUBBIA_REFUS_AMIENS_23 /data/models_weight/learn_RUBBIA_REFUS_AMIENS_23/mask_model.h5 size_local : 256009536 size in s3 : 256009536 create time local : 2021-08-09 09:43:22 create time in s3 : 2021-08-06 18:54:04 mask_model.h5 already exist and didn't need to update list_images length : 4 NEW PHOTO pour l'instant on ne peut pas sauvegarder la photo dans les tile Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -116.12969 max: 148.37344 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 5 time for calcul the mask position with numpy : 7.915496826171875e-05 nb_pixel_total : 255 time to create 1 rle with old method : 0.0005517005920410156 length of segment : 39 time for calcul the mask position with numpy : 4.7206878662109375e-05 nb_pixel_total : 36 time to create 1 rle with old method : 0.00010848045349121094 length of segment : 14 time for calcul the mask position with numpy : 5.936622619628906e-05 nb_pixel_total : 953 time to create 1 rle with old method : 0.0016939640045166016 length of segment : 30 time for calcul the mask position with numpy : 3.981590270996094e-05 nb_pixel_total : 46 time to create 1 rle with old method : 0.00010514259338378906 length of segment : 21 time for calcul the mask position with numpy : 4.38690185546875e-05 nb_pixel_total : 999 time to create 1 rle with old method : 0.0013442039489746094 length of segment : 30 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -119.64922 max: 150.99453 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 10 time for calcul the mask position with numpy : 9.989738464355469e-05 nb_pixel_total : 1516 time to create 1 rle with old method : 0.0029985904693603516 length of segment : 39 time for calcul the mask position with numpy : 7.414817810058594e-05 nb_pixel_total : 535 time to create 1 rle with old method : 0.0011293888092041016 length of segment : 26 time for calcul the mask position with numpy : 8.678436279296875e-05 nb_pixel_total : 810 time to create 1 rle with old method : 0.0017063617706298828 length of segment : 54 time for calcul the mask position with numpy : 9.5367431640625e-05 nb_pixel_total : 1451 time to create 1 rle with old method : 0.0032863616943359375 length of segment : 37 time for calcul the mask position with numpy : 4.935264587402344e-05 nb_pixel_total : 724 time to create 1 rle with old method : 0.0010008811950683594 length of segment : 49 time for calcul the mask position with numpy : 5.364418029785156e-05 nb_pixel_total : 1049 time to create 1 rle with old method : 0.0013604164123535156 length of segment : 45 time for calcul the mask position with numpy : 0.0003376007080078125 nb_pixel_total : 12248 time to create 1 rle with old method : 0.014992713928222656 length of segment : 436 time for calcul the mask position with numpy : 7.653236389160156e-05 nb_pixel_total : 1901 time to create 1 rle with old method : 0.002505064010620117 length of segment : 92 time for calcul the mask position with numpy : 5.316734313964844e-05 nb_pixel_total : 856 time to create 1 rle with old method : 0.001216888427734375 length of segment : 43 time for calcul the mask position with numpy : 5.2928924560546875e-05 nb_pixel_total : 1016 time to create 1 rle with old method : 0.001188039779663086 length of segment : 43 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -122.48125 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 2 time for calcul the mask position with numpy : 0.00015425682067871094 nb_pixel_total : 5590 time to create 1 rle with old method : 0.006746530532836914 length of segment : 132 time for calcul the mask position with numpy : 7.581710815429688e-05 nb_pixel_total : 1584 time to create 1 rle with old method : 0.002194643020629883 length of segment : 29 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -122.98906 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 4 time for calcul the mask position with numpy : 0.00022411346435546875 nb_pixel_total : 8608 time to create 1 rle with old method : 0.015925168991088867 length of segment : 134 time for calcul the mask position with numpy : 0.0001773834228515625 nb_pixel_total : 2262 time to create 1 rle with old method : 0.004342794418334961 length of segment : 118 time for calcul the mask position with numpy : 8.487701416015625e-05 nb_pixel_total : 206 time to create 1 rle with old method : 0.0005154609680175781 length of segment : 19 time for calcul the mask position with numpy : 0.00014328956604003906 nb_pixel_total : 4475 time to create 1 rle with old method : 0.007808685302734375 length of segment : 120 Processing 1 images image shape: (400, 320, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 145.11562 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 7 time for calcul the mask position with numpy : 6.437301635742188e-05 nb_pixel_total : 527 time to create 1 rle with old method : 0.000982046127319336 length of segment : 20 time for calcul the mask position with numpy : 0.0010156631469726562 nb_pixel_total : 56732 time to create 1 rle with old method : 0.08175015449523926 length of segment : 251 time for calcul the mask position with numpy : 0.00011730194091796875 nb_pixel_total : 1175 time to create 1 rle with old method : 0.0018873214721679688 length of segment : 32 time for calcul the mask position with numpy : 8.177757263183594e-05 nb_pixel_total : 467 time to create 1 rle with old method : 0.0008039474487304688 length of segment : 62 time for calcul the mask position with numpy : 0.00010585784912109375 nb_pixel_total : 1117 time to create 1 rle with old method : 0.002165555953979492 length of segment : 32 time for calcul the mask position with numpy : 8.797645568847656e-05 nb_pixel_total : 1138 time to create 1 rle with old method : 0.0014617443084716797 length of segment : 33 time for calcul the mask position with numpy : 0.0006589889526367188 nb_pixel_total : 60424 time to create 1 rle with old method : 0.07409453392028809 length of segment : 251 Processing 1 images image shape: (400, 400, 3) min: 11.00000 max: 200.00000 molded_images shape: (1, 640, 640, 3) min: -92.00859 max: 74.89297 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 0 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -116.02813 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 10 time for calcul the mask position with numpy : 4.076957702636719e-05 nb_pixel_total : 245 time to create 1 rle with old method : 0.00037598609924316406 length of segment : 15 time for calcul the mask position with numpy : 4.935264587402344e-05 nb_pixel_total : 1462 time to create 1 rle with old method : 0.0019335746765136719 length of segment : 55 time for calcul the mask position with numpy : 3.695487976074219e-05 nb_pixel_total : 264 time to create 1 rle with old method : 0.0003936290740966797 length of segment : 19 time for calcul the mask position with numpy : 3.933906555175781e-05 nb_pixel_total : 297 time to create 1 rle with old method : 0.0004696846008300781 length of segment : 32 time for calcul the mask position with numpy : 5.245208740234375e-05 nb_pixel_total : 541 time to create 1 rle with old method : 0.0008661746978759766 length of segment : 25 time for calcul the mask position with numpy : 3.170967102050781e-05 nb_pixel_total : 92 time to create 1 rle with old method : 0.00014972686767578125 length of segment : 17 time for calcul the mask position with numpy : 2.956390380859375e-05 nb_pixel_total : 114 time to create 1 rle with old method : 0.00020956993103027344 length of segment : 8 time for calcul the mask position with numpy : 4.839897155761719e-05 nb_pixel_total : 502 time to create 1 rle with old method : 0.00072479248046875 length of segment : 61 time for calcul the mask position with numpy : 3.5762786865234375e-05 nb_pixel_total : 204 time to create 1 rle with old method : 0.00031304359436035156 length of segment : 17 time for calcul the mask position with numpy : 3.2901763916015625e-05 nb_pixel_total : 197 time to create 1 rle with old method : 0.00030541419982910156 length of segment : 16 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -121.48906 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 10 time for calcul the mask position with numpy : 4.863739013671875e-05 nb_pixel_total : 481 time to create 1 rle with old method : 0.0007119178771972656 length of segment : 21 time for calcul the mask position with numpy : 0.0003101825714111328 nb_pixel_total : 14974 time to create 1 rle with old method : 0.017267465591430664 length of segment : 153 time for calcul the mask position with numpy : 4.744529724121094e-05 nb_pixel_total : 286 time to create 1 rle with old method : 0.00044226646423339844 length of segment : 18 time for calcul the mask position with numpy : 3.910064697265625e-05 nb_pixel_total : 482 time to create 1 rle with old method : 0.0007066726684570312 length of segment : 25 time for calcul the mask position with numpy : 3.314018249511719e-05 nb_pixel_total : 148 time to create 1 rle with old method : 0.0002455711364746094 length of segment : 18 time for calcul the mask position with numpy : 4.9114227294921875e-05 nb_pixel_total : 913 time to create 1 rle with old method : 0.001253366470336914 length of segment : 40 time for calcul the mask position with numpy : 3.123283386230469e-05 nb_pixel_total : 91 time to create 1 rle with old method : 0.00014734268188476562 length of segment : 14 time for calcul the mask position with numpy : 5.340576171875e-05 nb_pixel_total : 1460 time to create 1 rle with old method : 0.0018191337585449219 length of segment : 67 time for calcul the mask position with numpy : 3.933906555175781e-05 nb_pixel_total : 541 time to create 1 rle with old method : 0.0006706714630126953 length of segment : 44 time for calcul the mask position with numpy : 5.221366882324219e-05 nb_pixel_total : 841 time to create 1 rle with old method : 0.0011854171752929688 length of segment : 39 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -121.36016 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 7 time for calcul the mask position with numpy : 8.0108642578125e-05 nb_pixel_total : 2192 time to create 1 rle with old method : 0.0038230419158935547 length of segment : 52 time for calcul the mask position with numpy : 7.2479248046875e-05 nb_pixel_total : 1206 time to create 1 rle with old method : 0.0021517276763916016 length of segment : 36 time for calcul the mask position with numpy : 4.7206878662109375e-05 nb_pixel_total : 228 time to create 1 rle with old method : 0.0004570484161376953 length of segment : 25 time for calcul the mask position with numpy : 0.00010776519775390625 nb_pixel_total : 1809 time to create 1 rle with old method : 0.003003358840942383 length of segment : 136 time for calcul the mask position with numpy : 6.103515625e-05 nb_pixel_total : 1271 time to create 1 rle with old method : 0.0015826225280761719 length of segment : 41 time for calcul the mask position with numpy : 4.315376281738281e-05 nb_pixel_total : 692 time to create 1 rle with old method : 0.0008492469787597656 length of segment : 36 time for calcul the mask position with numpy : 0.00052642822265625 nb_pixel_total : 30901 time to create 1 rle with old method : 0.034775733947753906 length of segment : 281 Processing 1 images image shape: (400, 320, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 133.20156 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 6 time for calcul the mask position with numpy : 8.511543273925781e-05 nb_pixel_total : 743 time to create 1 rle with old method : 0.0009486675262451172 length of segment : 55 time for calcul the mask position with numpy : 6.508827209472656e-05 nb_pixel_total : 774 time to create 1 rle with old method : 0.0011372566223144531 length of segment : 68 time for calcul the mask position with numpy : 7.343292236328125e-05 nb_pixel_total : 1853 time to create 1 rle with old method : 0.0024344921112060547 length of segment : 90 time for calcul the mask position with numpy : 6.103515625e-05 nb_pixel_total : 716 time to create 1 rle with old method : 0.0009512901306152344 length of segment : 55 time for calcul the mask position with numpy : 6.246566772460938e-05 nb_pixel_total : 1303 time to create 1 rle with old method : 0.0017194747924804688 length of segment : 49 time for calcul the mask position with numpy : 8.821487426757812e-05 nb_pixel_total : 1725 time to create 1 rle with old method : 0.0022096633911132812 length of segment : 87 Processing 1 images image shape: (280, 400, 3) min: 17.00000 max: 180.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 58.77187 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 1 time for calcul the mask position with numpy : 0.0009474754333496094 nb_pixel_total : 106846 time to create 1 rle with old method : 0.1343846321105957 length of segment : 279 Processing 1 images image shape: (280, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 150.64297 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 17 time for calcul the mask position with numpy : 9.107589721679688e-05 nb_pixel_total : 3428 time to create 1 rle with old method : 0.004436492919921875 length of segment : 80 time for calcul the mask position with numpy : 6.341934204101562e-05 nb_pixel_total : 2206 time to create 1 rle with old method : 0.0026373863220214844 length of segment : 66 time for calcul the mask position with numpy : 6.651878356933594e-05 nb_pixel_total : 1843 time to create 1 rle with old method : 0.0025734901428222656 length of segment : 50 time for calcul the mask position with numpy : 3.647804260253906e-05 nb_pixel_total : 178 time to create 1 rle with old method : 0.0003135204315185547 length of segment : 12 time for calcul the mask position with numpy : 3.409385681152344e-05 nb_pixel_total : 262 time to create 1 rle with old method : 0.00035262107849121094 length of segment : 28 time for calcul the mask position with numpy : 5.984306335449219e-05 nb_pixel_total : 1493 time to create 1 rle with old method : 0.0017619132995605469 length of segment : 80 time for calcul the mask position with numpy : 7.796287536621094e-05 nb_pixel_total : 1931 time to create 1 rle with old method : 0.0023005008697509766 length of segment : 74 time for calcul the mask position with numpy : 5.412101745605469e-05 nb_pixel_total : 982 time to create 1 rle with old method : 0.0013611316680908203 length of segment : 62 time for calcul the mask position with numpy : 4.673004150390625e-05 nb_pixel_total : 656 time to create 1 rle with old method : 0.0009336471557617188 length of segment : 21 time for calcul the mask position with numpy : 9.846687316894531e-05 nb_pixel_total : 3340 time to create 1 rle with old method : 0.004488706588745117 length of segment : 112 time for calcul the mask position with numpy : 4.57763671875e-05 nb_pixel_total : 707 time to create 1 rle with old method : 0.0008800029754638672 length of segment : 33 time for calcul the mask position with numpy : 2.8133392333984375e-05 nb_pixel_total : 96 time to create 1 rle with old method : 0.0001494884490966797 length of segment : 16 time for calcul the mask position with numpy : 4.3392181396484375e-05 nb_pixel_total : 355 time to create 1 rle with old method : 0.0005834102630615234 length of segment : 35 time for calcul the mask position with numpy : 4.00543212890625e-05 nb_pixel_total : 547 time to create 1 rle with old method : 0.0007364749908447266 length of segment : 34 time for calcul the mask position with numpy : 3.5762786865234375e-05 nb_pixel_total : 428 time to create 1 rle with old method : 0.0005965232849121094 length of segment : 26 time for calcul the mask position with numpy : 3.266334533691406e-05 nb_pixel_total : 239 time to create 1 rle with old method : 0.00036406517028808594 length of segment : 27 time for calcul the mask position with numpy : 4.1961669921875e-05 nb_pixel_total : 645 time to create 1 rle with old method : 0.0008425712585449219 length of segment : 33 Processing 1 images image shape: (280, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 145.41641 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 16 time for calcul the mask position with numpy : 6.747245788574219e-05 nb_pixel_total : 1367 time to create 1 rle with old method : 0.0017232894897460938 length of segment : 47 time for calcul the mask position with numpy : 4.0531158447265625e-05 nb_pixel_total : 451 time to create 1 rle with old method : 0.0006744861602783203 length of segment : 26 time for calcul the mask position with numpy : 5.459785461425781e-05 nb_pixel_total : 783 time to create 1 rle with old method : 0.001096963882446289 length of segment : 36 time for calcul the mask position with numpy : 5.0067901611328125e-05 nb_pixel_total : 589 time to create 1 rle with old method : 0.0008220672607421875 length of segment : 38 time for calcul the mask position with numpy : 5.841255187988281e-05 nb_pixel_total : 1090 time to create 1 rle with old method : 0.001461029052734375 length of segment : 54 time for calcul the mask position with numpy : 3.933906555175781e-05 nb_pixel_total : 405 time to create 1 rle with old method : 0.0005559921264648438 length of segment : 29 time for calcul the mask position with numpy : 3.886222839355469e-05 nb_pixel_total : 75 time to create 1 rle with old method : 0.00013494491577148438 length of segment : 9 time for calcul the mask position with numpy : 3.0279159545898438e-05 nb_pixel_total : 105 time to create 1 rle with old method : 0.00018835067749023438 length of segment : 8 time for calcul the mask position with numpy : 3.600120544433594e-05 nb_pixel_total : 274 time to create 1 rle with old method : 0.0004010200500488281 length of segment : 18 time for calcul the mask position with numpy : 7.009506225585938e-05 nb_pixel_total : 1389 time to create 1 rle with old method : 0.0019712448120117188 length of segment : 36 time for calcul the mask position with numpy : 4.744529724121094e-05 nb_pixel_total : 346 time to create 1 rle with old method : 0.0005006790161132812 length of segment : 19 time for calcul the mask position with numpy : 3.8623809814453125e-05 nb_pixel_total : 157 time to create 1 rle with old method : 0.0003223419189453125 length of segment : 12 time for calcul the mask position with numpy : 4.887580871582031e-05 nb_pixel_total : 521 time to create 1 rle with old method : 0.0006887912750244141 length of segment : 37 time for calcul the mask position with numpy : 0.00011205673217773438 nb_pixel_total : 1173 time to create 1 rle with old method : 0.0017886161804199219 length of segment : 58 time for calcul the mask position with numpy : 7.724761962890625e-05 nb_pixel_total : 1179 time to create 1 rle with old method : 0.0016217231750488281 length of segment : 104 time for calcul the mask position with numpy : 7.915496826171875e-05 nb_pixel_total : 920 time to create 1 rle with old method : 0.00145721435546875 length of segment : 49 Processing 1 images image shape: (280, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 148.40078 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 12 time for calcul the mask position with numpy : 5.507469177246094e-05 nb_pixel_total : 827 time to create 1 rle with old method : 0.0011544227600097656 length of segment : 37 time for calcul the mask position with numpy : 5.53131103515625e-05 nb_pixel_total : 527 time to create 1 rle with old method : 0.0007812976837158203 length of segment : 23 time for calcul the mask position with numpy : 4.5299530029296875e-05 nb_pixel_total : 373 time to create 1 rle with old method : 0.0005097389221191406 length of segment : 25 time for calcul the mask position with numpy : 0.00010657310485839844 nb_pixel_total : 3165 time to create 1 rle with old method : 0.004933834075927734 length of segment : 80 time for calcul the mask position with numpy : 8.0108642578125e-05 nb_pixel_total : 1690 time to create 1 rle with old method : 0.0022726058959960938 length of segment : 87 time for calcul the mask position with numpy : 4.887580871582031e-05 nb_pixel_total : 601 time to create 1 rle with old method : 0.0008177757263183594 length of segment : 37 time for calcul the mask position with numpy : 9.775161743164062e-05 nb_pixel_total : 3489 time to create 1 rle with old method : 0.004080772399902344 length of segment : 88 time for calcul the mask position with numpy : 4.863739013671875e-05 nb_pixel_total : 697 time to create 1 rle with old method : 0.0009725093841552734 length of segment : 29 time for calcul the mask position with numpy : 3.314018249511719e-05 nb_pixel_total : 247 time to create 1 rle with old method : 0.0004210472106933594 length of segment : 11 time for calcul the mask position with numpy : 3.170967102050781e-05 nb_pixel_total : 134 time to create 1 rle with old method : 0.00023436546325683594 length of segment : 13 time for calcul the mask position with numpy : 2.956390380859375e-05 nb_pixel_total : 120 time to create 1 rle with old method : 0.00020647048950195312 length of segment : 11 time for calcul the mask position with numpy : 3.147125244140625e-05 nb_pixel_total : 267 time to create 1 rle with old method : 0.00041222572326660156 length of segment : 12 Processing 1 images image shape: (280, 320, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 136.47500 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 0 NEW PHOTO pour l'instant on ne peut pas sauvegarder la photo dans les tile Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -115.57109 max: 145.40469 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 7 time for calcul the mask position with numpy : 4.982948303222656e-05 nb_pixel_total : 341 time to create 1 rle with old method : 0.0005018711090087891 length of segment : 34 time for calcul the mask position with numpy : 5.14984130859375e-05 nb_pixel_total : 1000 time to create 1 rle with old method : 0.0012989044189453125 length of segment : 34 time for calcul the mask position with numpy : 5.793571472167969e-05 nb_pixel_total : 43 time to create 1 rle with old method : 0.00025653839111328125 length of segment : 15 length of segment : 0 time for calcul the mask position with numpy : 3.075599670410156e-05 nb_pixel_total : 61 time to create 1 rle with old method : 0.0001125335693359375 length of segment : 22 time for calcul the mask position with numpy : 5.245208740234375e-05 nb_pixel_total : 1548 time to create 1 rle with old method : 0.002028226852416992 length of segment : 47 time for calcul the mask position with numpy : 4.076957702636719e-05 nb_pixel_total : 824 time to create 1 rle with old method : 0.0010333061218261719 length of segment : 33 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -120.02813 max: 150.99453 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 8 time for calcul the mask position with numpy : 5.1021575927734375e-05 nb_pixel_total : 777 time to create 1 rle with old method : 0.0011179447174072266 length of segment : 57 time for calcul the mask position with numpy : 0.00011277198791503906 nb_pixel_total : 2040 time to create 1 rle with old method : 0.0034508705139160156 length of segment : 49 time for calcul the mask position with numpy : 3.981590270996094e-05 nb_pixel_total : 592 time to create 1 rle with old method : 0.0008785724639892578 length of segment : 14 time for calcul the mask position with numpy : 5.5789947509765625e-05 nb_pixel_total : 1046 time to create 1 rle with old method : 0.0013337135314941406 length of segment : 43 time for calcul the mask position with numpy : 0.00011086463928222656 nb_pixel_total : 4484 time to create 1 rle with old method : 0.005811929702758789 length of segment : 69 time for calcul the mask position with numpy : 4.601478576660156e-05 nb_pixel_total : 535 time to create 1 rle with old method : 0.0007531642913818359 length of segment : 27 time for calcul the mask position with numpy : 3.600120544433594e-05 nb_pixel_total : 251 time to create 1 rle with old method : 0.0003733634948730469 length of segment : 17 time for calcul the mask position with numpy : 4.00543212890625e-05 nb_pixel_total : 596 time to create 1 rle with old method : 0.0008678436279296875 length of segment : 54 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -122.98906 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 0 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -122.82109 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 7 time for calcul the mask position with numpy : 0.0001404285430908203 nb_pixel_total : 6256 time to create 1 rle with old method : 0.007649421691894531 length of segment : 118 time for calcul the mask position with numpy : 8.0108642578125e-05 nb_pixel_total : 765 time to create 1 rle with old method : 0.0011353492736816406 length of segment : 65 time for calcul the mask position with numpy : 3.790855407714844e-05 nb_pixel_total : 220 time to create 1 rle with old method : 0.0003712177276611328 length of segment : 18 time for calcul the mask position with numpy : 4.291534423828125e-05 nb_pixel_total : 369 time to create 1 rle with old method : 0.0005509853363037109 length of segment : 18 time for calcul the mask position with numpy : 8.177757263183594e-05 nb_pixel_total : 1961 time to create 1 rle with old method : 0.0026807785034179688 length of segment : 104 time for calcul the mask position with numpy : 7.82012939453125e-05 nb_pixel_total : 1689 time to create 1 rle with old method : 0.002440929412841797 length of segment : 81 time for calcul the mask position with numpy : 7.653236389160156e-05 nb_pixel_total : 1803 time to create 1 rle with old method : 0.002290964126586914 length of segment : 79 Processing 1 images image shape: (400, 320, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 150.58437 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 4 time for calcul the mask position with numpy : 4.220008850097656e-05 nb_pixel_total : 524 time to create 1 rle with old method : 0.0007159709930419922 length of segment : 23 time for calcul the mask position with numpy : 3.9577484130859375e-05 nb_pixel_total : 499 time to create 1 rle with old method : 0.0006945133209228516 length of segment : 21 time for calcul the mask position with numpy : 0.0007038116455078125 nb_pixel_total : 48429 time to create 1 rle with old method : 0.0552210807800293 length of segment : 262 time for calcul the mask position with numpy : 0.0006182193756103516 nb_pixel_total : 56513 time to create 1 rle with old method : 0.06823420524597168 length of segment : 303 Processing 1 images image shape: (400, 400, 3) min: 16.00000 max: 204.00000 molded_images shape: (1, 640, 640, 3) min: -88.25078 max: 74.18594 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 0 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -116.06328 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 22 time for calcul the mask position with numpy : 5.841255187988281e-05 nb_pixel_total : 254 time to create 1 rle with old method : 0.00039458274841308594 length of segment : 15 time for calcul the mask position with numpy : 6.151199340820312e-05 nb_pixel_total : 1380 time to create 1 rle with old method : 0.0018749237060546875 length of segment : 56 time for calcul the mask position with numpy : 4.291534423828125e-05 nb_pixel_total : 686 time to create 1 rle with old method : 0.0009341239929199219 length of segment : 22 time for calcul the mask position with numpy : 3.361701965332031e-05 nb_pixel_total : 182 time to create 1 rle with old method : 0.00031256675720214844 length of segment : 11 time for calcul the mask position with numpy : 5.626678466796875e-05 nb_pixel_total : 830 time to create 1 rle with old method : 0.0010762214660644531 length of segment : 46 time for calcul the mask position with numpy : 3.0994415283203125e-05 nb_pixel_total : 94 time to create 1 rle with old method : 0.00016498565673828125 length of segment : 11 time for calcul the mask position with numpy : 3.719329833984375e-05 nb_pixel_total : 269 time to create 1 rle with old method : 0.00040459632873535156 length of segment : 22 time for calcul the mask position with numpy : 2.9087066650390625e-05 nb_pixel_total : 85 time to create 1 rle with old method : 0.00017380714416503906 length of segment : 8 time for calcul the mask position with numpy : 2.956390380859375e-05 nb_pixel_total : 89 time to create 1 rle with old method : 0.0001499652862548828 length of segment : 12 time for calcul the mask position with numpy : 3.2901763916015625e-05 nb_pixel_total : 258 time to create 1 rle with old method : 0.0003833770751953125 length of segment : 17 time for calcul the mask position with numpy : 3.0040740966796875e-05 nb_pixel_total : 116 time to create 1 rle with old method : 0.00021338462829589844 length of segment : 8 time for calcul the mask position with numpy : 3.0517578125e-05 nb_pixel_total : 130 time to create 1 rle with old method : 0.0002262592315673828 length of segment : 9 time for calcul the mask position with numpy : 3.2901763916015625e-05 nb_pixel_total : 292 time to create 1 rle with old method : 0.0004146099090576172 length of segment : 21 time for calcul the mask position with numpy : 5.7697296142578125e-05 nb_pixel_total : 1285 time to create 1 rle with old method : 0.001674652099609375 length of segment : 58 time for calcul the mask position with numpy : 3.4332275390625e-05 nb_pixel_total : 204 time to create 1 rle with old method : 0.0003337860107421875 length of segment : 16 time for calcul the mask position with numpy : 3.1948089599609375e-05 nb_pixel_total : 133 time to create 1 rle with old method : 0.00020360946655273438 length of segment : 20 time for calcul the mask position with numpy : 5.412101745605469e-05 nb_pixel_total : 1176 time to create 1 rle with old method : 0.0016143321990966797 length of segment : 58 time for calcul the mask position with numpy : 5.5789947509765625e-05 nb_pixel_total : 819 time to create 1 rle with old method : 0.001096487045288086 length of segment : 41 time for calcul the mask position with numpy : 4.8160552978515625e-05 nb_pixel_total : 775 time to create 1 rle with old method : 0.0010919570922851562 length of segment : 40 time for calcul the mask position with numpy : 6.651878356933594e-05 nb_pixel_total : 2254 time to create 1 rle with old method : 0.0038404464721679688 length of segment : 39 time for calcul the mask position with numpy : 4.1484832763671875e-05 nb_pixel_total : 225 time to create 1 rle with old method : 0.0003628730773925781 length of segment : 17 time for calcul the mask position with numpy : 3.933906555175781e-05 nb_pixel_total : 356 time to create 1 rle with old method : 0.0004990100860595703 length of segment : 31 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -122.88750 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 14 time for calcul the mask position with numpy : 6.0558319091796875e-05 nb_pixel_total : 543 time to create 1 rle with old method : 0.0007607936859130859 length of segment : 26 time for calcul the mask position with numpy : 4.38690185546875e-05 nb_pixel_total : 636 time to create 1 rle with old method : 0.0008401870727539062 length of segment : 42 time for calcul the mask position with numpy : 3.600120544433594e-05 nb_pixel_total : 246 time to create 1 rle with old method : 0.00038313865661621094 length of segment : 17 time for calcul the mask position with numpy : 4.1961669921875e-05 nb_pixel_total : 740 time to create 1 rle with old method : 0.0009968280792236328 length of segment : 36 time for calcul the mask position with numpy : 3.147125244140625e-05 nb_pixel_total : 113 time to create 1 rle with old method : 0.000213623046875 length of segment : 10 time for calcul the mask position with numpy : 2.9802322387695312e-05 nb_pixel_total : 90 time to create 1 rle with old method : 0.00014781951904296875 length of segment : 14 time for calcul the mask position with numpy : 5.221366882324219e-05 nb_pixel_total : 976 time to create 1 rle with old method : 0.0014193058013916016 length of segment : 40 time for calcul the mask position with numpy : 3.218650817871094e-05 nb_pixel_total : 113 time to create 1 rle with old method : 0.0002243518829345703 length of segment : 10 time for calcul the mask position with numpy : 3.0994415283203125e-05 nb_pixel_total : 69 time to create 1 rle with old method : 0.0001308917999267578 length of segment : 17 time for calcul the mask position with numpy : 3.0279159545898438e-05 nb_pixel_total : 119 time to create 1 rle with old method : 0.0001876354217529297 length of segment : 18 time for calcul the mask position with numpy : 4.2438507080078125e-05 nb_pixel_total : 526 time to create 1 rle with old method : 0.0008511543273925781 length of segment : 30 time for calcul the mask position with numpy : 6.508827209472656e-05 nb_pixel_total : 1703 time to create 1 rle with old method : 0.0022058486938476562 length of segment : 70 time for calcul the mask position with numpy : 5.888938903808594e-05 nb_pixel_total : 987 time to create 1 rle with old method : 0.0013918876647949219 length of segment : 35 time for calcul the mask position with numpy : 4.363059997558594e-05 nb_pixel_total : 123 time to create 1 rle with old method : 0.0002396106719970703 length of segment : 18 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -121.10234 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 4 time for calcul the mask position with numpy : 9.512901306152344e-05 nb_pixel_total : 4426 time to create 1 rle with old method : 0.005278348922729492 length of segment : 110 time for calcul the mask position with numpy : 7.557868957519531e-05 nb_pixel_total : 1221 time to create 1 rle with old method : 0.0019898414611816406 length of segment : 39 time for calcul the mask position with numpy : 0.00010371208190917969 nb_pixel_total : 1949 time to create 1 rle with old method : 0.002483844757080078 length of segment : 138 time for calcul the mask position with numpy : 5.793571472167969e-05 nb_pixel_total : 710 time to create 1 rle with old method : 0.0009386539459228516 length of segment : 37 Processing 1 images image shape: (400, 320, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 132.12734 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 7 time for calcul the mask position with numpy : 0.00011205673217773438 nb_pixel_total : 1358 time to create 1 rle with old method : 0.0028641223907470703 length of segment : 96 time for calcul the mask position with numpy : 0.00011277198791503906 nb_pixel_total : 1958 time to create 1 rle with old method : 0.0036537647247314453 length of segment : 89 time for calcul the mask position with numpy : 8.106231689453125e-05 nb_pixel_total : 705 time to create 1 rle with old method : 0.0013289451599121094 length of segment : 56 time for calcul the mask position with numpy : 6.818771362304688e-05 nb_pixel_total : 519 time to create 1 rle with old method : 0.0010805130004882812 length of segment : 38 time for calcul the mask position with numpy : 7.295608520507812e-05 nb_pixel_total : 465 time to create 1 rle with old method : 0.0010218620300292969 length of segment : 31 time for calcul the mask position with numpy : 0.00024580955505371094 nb_pixel_total : 3809 time to create 1 rle with old method : 0.004688739776611328 length of segment : 184 time for calcul the mask position with numpy : 5.173683166503906e-05 nb_pixel_total : 331 time to create 1 rle with old method : 0.0005846023559570312 length of segment : 33 Processing 1 images image shape: (280, 400, 3) min: 14.00000 max: 179.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 58.67031 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 1 time for calcul the mask position with numpy : 0.0011587142944335938 nb_pixel_total : 106676 time to create 1 rle with old method : 0.17487144470214844 length of segment : 280 Processing 1 images image shape: (280, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.02187 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 15 time for calcul the mask position with numpy : 0.0001537799835205078 nb_pixel_total : 3524 time to create 1 rle with old method : 0.005941867828369141 length of segment : 85 time for calcul the mask position with numpy : 9.632110595703125e-05 nb_pixel_total : 1828 time to create 1 rle with old method : 0.003210306167602539 length of segment : 53 time for calcul the mask position with numpy : 5.555152893066406e-05 nb_pixel_total : 151 time to create 1 rle with old method : 0.00038886070251464844 length of segment : 10 time for calcul the mask position with numpy : 5.626678466796875e-05 nb_pixel_total : 390 time to create 1 rle with old method : 0.000766754150390625 length of segment : 24 time for calcul the mask position with numpy : 9.989738464355469e-05 nb_pixel_total : 1238 time to create 1 rle with old method : 0.002190828323364258 length of segment : 66 time for calcul the mask position with numpy : 0.00013685226440429688 nb_pixel_total : 2155 time to create 1 rle with old method : 0.0038483142852783203 length of segment : 76 time for calcul the mask position with numpy : 6.532669067382812e-05 nb_pixel_total : 393 time to create 1 rle with old method : 0.0007569789886474609 length of segment : 24 time for calcul the mask position with numpy : 0.00011348724365234375 nb_pixel_total : 2765 time to create 1 rle with old method : 0.00466609001159668 length of segment : 85 time for calcul the mask position with numpy : 5.602836608886719e-05 nb_pixel_total : 296 time to create 1 rle with old method : 0.00039267539978027344 length of segment : 32 time for calcul the mask position with numpy : 4.4345855712890625e-05 nb_pixel_total : 603 time to create 1 rle with old method : 0.0009150505065917969 length of segment : 18 time for calcul the mask position with numpy : 8.749961853027344e-05 nb_pixel_total : 1819 time to create 1 rle with old method : 0.0023806095123291016 length of segment : 70 time for calcul the mask position with numpy : 4.029273986816406e-05 nb_pixel_total : 480 time to create 1 rle with old method : 0.0006918907165527344 length of segment : 19 time for calcul the mask position with numpy : 3.409385681152344e-05 nb_pixel_total : 117 time to create 1 rle with old method : 0.0001900196075439453 length of segment : 18 time for calcul the mask position with numpy : 0.0001068115234375 nb_pixel_total : 4087 time to create 1 rle with old method : 0.004985332489013672 length of segment : 148 time for calcul the mask position with numpy : 5.7697296142578125e-05 nb_pixel_total : 482 time to create 1 rle with old method : 0.0006566047668457031 length of segment : 25 Processing 1 images image shape: (280, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 146.72500 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 16 time for calcul the mask position with numpy : 7.605552673339844e-05 nb_pixel_total : 1315 time to create 1 rle with old method : 0.0016527175903320312 length of segment : 46 time for calcul the mask position with numpy : 6.29425048828125e-05 nb_pixel_total : 878 time to create 1 rle with old method : 0.0012149810791015625 length of segment : 37 time for calcul the mask position with numpy : 5.1021575927734375e-05 nb_pixel_total : 450 time to create 1 rle with old method : 0.0006489753723144531 length of segment : 26 time for calcul the mask position with numpy : 3.24249267578125e-05 nb_pixel_total : 72 time to create 1 rle with old method : 0.00012946128845214844 length of segment : 9 time for calcul the mask position with numpy : 3.457069396972656e-05 nb_pixel_total : 242 time to create 1 rle with old method : 0.0003523826599121094 length of segment : 27 time for calcul the mask position with numpy : 4.673004150390625e-05 nb_pixel_total : 570 time to create 1 rle with old method : 0.0007805824279785156 length of segment : 36 time for calcul the mask position with numpy : 8.153915405273438e-05 nb_pixel_total : 1200 time to create 1 rle with old method : 0.0017786026000976562 length of segment : 50 time for calcul the mask position with numpy : 7.510185241699219e-05 nb_pixel_total : 1027 time to create 1 rle with old method : 0.0013930797576904297 length of segment : 54 time for calcul the mask position with numpy : 4.3392181396484375e-05 nb_pixel_total : 349 time to create 1 rle with old method : 0.0005030632019042969 length of segment : 26 time for calcul the mask position with numpy : 6.29425048828125e-05 nb_pixel_total : 1397 time to create 1 rle with old method : 0.0018966197967529297 length of segment : 38 time for calcul the mask position with numpy : 3.409385681152344e-05 nb_pixel_total : 158 time to create 1 rle with old method : 0.00028324127197265625 length of segment : 11 time for calcul the mask position with numpy : 3.695487976074219e-05 nb_pixel_total : 368 time to create 1 rle with old method : 0.0005321502685546875 length of segment : 19 time for calcul the mask position with numpy : 3.5762786865234375e-05 nb_pixel_total : 97 time to create 1 rle with old method : 0.00019097328186035156 length of segment : 7 time for calcul the mask position with numpy : 3.4332275390625e-05 nb_pixel_total : 226 time to create 1 rle with old method : 0.0003387928009033203 length of segment : 15 time for calcul the mask position with numpy : 4.887580871582031e-05 nb_pixel_total : 750 time to create 1 rle with old method : 0.0009913444519042969 length of segment : 41 time for calcul the mask position with numpy : 3.790855407714844e-05 nb_pixel_total : 563 time to create 1 rle with old method : 0.0007672309875488281 length of segment : 38 Processing 1 images image shape: (280, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 147.63906 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 14 time for calcul the mask position with numpy : 5.555152893066406e-05 nb_pixel_total : 812 time to create 1 rle with old method : 0.0011026859283447266 length of segment : 39 time for calcul the mask position with numpy : 6.771087646484375e-05 nb_pixel_total : 2238 time to create 1 rle with old method : 0.002588510513305664 length of segment : 73 time for calcul the mask position with numpy : 5.2928924560546875e-05 nb_pixel_total : 693 time to create 1 rle with old method : 0.0008389949798583984 length of segment : 25 time for calcul the mask position with numpy : 3.409385681152344e-05 nb_pixel_total : 358 time to create 1 rle with old method : 0.00046372413635253906 length of segment : 22 time for calcul the mask position with numpy : 3.0040740966796875e-05 nb_pixel_total : 260 time to create 1 rle with old method : 0.0004038810729980469 length of segment : 12 time for calcul the mask position with numpy : 4.267692565917969e-05 nb_pixel_total : 438 time to create 1 rle with old method : 0.0006155967712402344 length of segment : 34 time for calcul the mask position with numpy : 2.8848648071289062e-05 nb_pixel_total : 118 time to create 1 rle with old method : 0.0001735687255859375 length of segment : 17 time for calcul the mask position with numpy : 4.458427429199219e-05 nb_pixel_total : 689 time to create 1 rle with old method : 0.0008530616760253906 length of segment : 29 time for calcul the mask position with numpy : 6.723403930664062e-05 nb_pixel_total : 1700 time to create 1 rle with old method : 0.0020647048950195312 length of segment : 79 time for calcul the mask position with numpy : 5.459785461425781e-05 nb_pixel_total : 1701 time to create 1 rle with old method : 0.0020515918731689453 length of segment : 87 time for calcul the mask position with numpy : 3.0040740966796875e-05 nb_pixel_total : 130 time to create 1 rle with old method : 0.00021719932556152344 length of segment : 11 time for calcul the mask position with numpy : 9.703636169433594e-05 nb_pixel_total : 1608 time to create 1 rle with old method : 0.0019578933715820312 length of segment : 89 time for calcul the mask position with numpy : 0.00014328956604003906 nb_pixel_total : 3229 time to create 1 rle with old method : 0.003665924072265625 length of segment : 91 time for calcul the mask position with numpy : 3.457069396972656e-05 nb_pixel_total : 111 time to create 1 rle with old method : 0.00017547607421875 length of segment : 10 Processing 1 images image shape: (280, 320, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 135.28750 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 1 time for calcul the mask position with numpy : 7.534027099609375e-05 nb_pixel_total : 405 time to create 1 rle with old method : 0.0005867481231689453 length of segment : 52 NEW PHOTO pour l'instant on ne peut pas sauvegarder la photo dans les tile Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -118.03203 max: 145.73672 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 4 time for calcul the mask position with numpy : 5.0067901611328125e-05 nb_pixel_total : 910 time to create 1 rle with old method : 0.0011661052703857422 length of segment : 32 time for calcul the mask position with numpy : 3.266334533691406e-05 nb_pixel_total : 331 time to create 1 rle with old method : 0.0004429817199707031 length of segment : 32 time for calcul the mask position with numpy : 3.0040740966796875e-05 nb_pixel_total : 51 time to create 1 rle with old method : 8.988380432128906e-05 length of segment : 18 time for calcul the mask position with numpy : 4.9591064453125e-05 nb_pixel_total : 1668 time to create 1 rle with old method : 0.0027713775634765625 length of segment : 50 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -117.74688 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 10 time for calcul the mask position with numpy : 5.555152893066406e-05 nb_pixel_total : 811 time to create 1 rle with old method : 0.0010192394256591797 length of segment : 48 time for calcul the mask position with numpy : 5.8650970458984375e-05 nb_pixel_total : 1862 time to create 1 rle with old method : 0.0023152828216552734 length of segment : 45 time for calcul the mask position with numpy : 3.7670135498046875e-05 nb_pixel_total : 380 time to create 1 rle with old method : 0.0006010532379150391 length of segment : 21 time for calcul the mask position with numpy : 0.00011801719665527344 nb_pixel_total : 5814 time to create 1 rle with old method : 0.007554292678833008 length of segment : 69 time for calcul the mask position with numpy : 3.6716461181640625e-05 nb_pixel_total : 141 time to create 1 rle with old method : 0.0002522468566894531 length of segment : 9 time for calcul the mask position with numpy : 4.57763671875e-05 nb_pixel_total : 611 time to create 1 rle with old method : 0.0008318424224853516 length of segment : 30 time for calcul the mask position with numpy : 4.3392181396484375e-05 nb_pixel_total : 536 time to create 1 rle with old method : 0.00079345703125 length of segment : 35 time for calcul the mask position with numpy : 4.291534423828125e-05 nb_pixel_total : 407 time to create 1 rle with old method : 0.0005576610565185547 length of segment : 42 time for calcul the mask position with numpy : 3.337860107421875e-05 nb_pixel_total : 249 time to create 1 rle with old method : 0.0003514289855957031 length of segment : 18 time for calcul the mask position with numpy : 5.054473876953125e-05 nb_pixel_total : 1016 time to create 1 rle with old method : 0.0012428760528564453 length of segment : 46 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -122.78594 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 1 time for calcul the mask position with numpy : 0.000125885009765625 nb_pixel_total : 5588 time to create 1 rle with old method : 0.008058786392211914 length of segment : 133 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -122.29375 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 4 time for calcul the mask position with numpy : 0.00012135505676269531 nb_pixel_total : 5939 time to create 1 rle with old method : 0.00835275650024414 length of segment : 109 time for calcul the mask position with numpy : 5.030632019042969e-05 nb_pixel_total : 360 time to create 1 rle with old method : 0.0005085468292236328 length of segment : 19 time for calcul the mask position with numpy : 0.0001049041748046875 nb_pixel_total : 1975 time to create 1 rle with old method : 0.0024399757385253906 length of segment : 106 time for calcul the mask position with numpy : 3.9577484130859375e-05 nb_pixel_total : 221 time to create 1 rle with old method : 0.0003275871276855469 length of segment : 18 Processing 1 images image shape: (400, 320, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 140.83047 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 5 time for calcul the mask position with numpy : 4.506111145019531e-05 nb_pixel_total : 572 time to create 1 rle with old method : 0.0007853507995605469 length of segment : 24 time for calcul the mask position with numpy : 3.743171691894531e-05 nb_pixel_total : 97 time to create 1 rle with old method : 0.00019669532775878906 length of segment : 10 time for calcul the mask position with numpy : 9.1552734375e-05 nb_pixel_total : 3322 time to create 1 rle with old method : 0.004488706588745117 length of segment : 59 time for calcul the mask position with numpy : 7.43865966796875e-05 nb_pixel_total : 2005 time to create 1 rle with old method : 0.0025997161865234375 length of segment : 51 time for calcul the mask position with numpy : 0.0006928443908691406 nb_pixel_total : 61332 time to create 1 rle with old method : 0.07067298889160156 length of segment : 302 Processing 1 images image shape: (400, 400, 3) min: 14.00000 max: 202.00000 molded_images shape: (1, 640, 640, 3) min: -91.55938 max: 69.03203 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 0 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -116.48906 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 16 time for calcul the mask position with numpy : 0.00010442733764648438 nb_pixel_total : 1296 time to create 1 rle with old method : 0.0016546249389648438 length of segment : 55 time for calcul the mask position with numpy : 3.695487976074219e-05 nb_pixel_total : 240 time to create 1 rle with old method : 0.00038242340087890625 length of segment : 14 time for calcul the mask position with numpy : 3.409385681152344e-05 nb_pixel_total : 269 time to create 1 rle with old method : 0.0004506111145019531 length of segment : 19 time for calcul the mask position with numpy : 4.5299530029296875e-05 nb_pixel_total : 114 time to create 1 rle with old method : 0.00020837783813476562 length of segment : 8 time for calcul the mask position with numpy : 5.507469177246094e-05 nb_pixel_total : 809 time to create 1 rle with old method : 0.0012824535369873047 length of segment : 40 time for calcul the mask position with numpy : 3.695487976074219e-05 nb_pixel_total : 143 time to create 1 rle with old method : 0.0002579689025878906 length of segment : 7 time for calcul the mask position with numpy : 4.076957702636719e-05 nb_pixel_total : 447 time to create 1 rle with old method : 0.0006256103515625 length of segment : 35 time for calcul the mask position with numpy : 6.67572021484375e-05 nb_pixel_total : 290 time to create 1 rle with old method : 0.0006480216979980469 length of segment : 22 time for calcul the mask position with numpy : 6.604194641113281e-05 nb_pixel_total : 601 time to create 1 rle with old method : 0.0013866424560546875 length of segment : 21 time for calcul the mask position with numpy : 5.412101745605469e-05 nb_pixel_total : 232 time to create 1 rle with old method : 0.0005464553833007812 length of segment : 20 time for calcul the mask position with numpy : 5.1975250244140625e-05 nb_pixel_total : 292 time to create 1 rle with old method : 0.0006384849548339844 length of segment : 22 time for calcul the mask position with numpy : 5.1021575927734375e-05 nb_pixel_total : 195 time to create 1 rle with old method : 0.00048160552978515625 length of segment : 16 time for calcul the mask position with numpy : 3.0279159545898438e-05 nb_pixel_total : 100 time to create 1 rle with old method : 0.00019240379333496094 length of segment : 8 time for calcul the mask position with numpy : 5.340576171875e-05 nb_pixel_total : 1061 time to create 1 rle with old method : 0.0014910697937011719 length of segment : 52 time for calcul the mask position with numpy : 3.409385681152344e-05 nb_pixel_total : 113 time to create 1 rle with old method : 0.0001723766326904297 length of segment : 18 time for calcul the mask position with numpy : 5.2928924560546875e-05 nb_pixel_total : 852 time to create 1 rle with old method : 0.001255035400390625 length of segment : 48 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -114.09063 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 13 time for calcul the mask position with numpy : 4.9591064453125e-05 nb_pixel_total : 87 time to create 1 rle with old method : 0.00014925003051757812 length of segment : 13 time for calcul the mask position with numpy : 0.0001227855682373047 nb_pixel_total : 6947 time to create 1 rle with old method : 0.008643388748168945 length of segment : 71 time for calcul the mask position with numpy : 6.008148193359375e-05 nb_pixel_total : 943 time to create 1 rle with old method : 0.0012583732604980469 length of segment : 51 time for calcul the mask position with numpy : 3.695487976074219e-05 nb_pixel_total : 258 time to create 1 rle with old method : 0.0003783702850341797 length of segment : 17 time for calcul the mask position with numpy : 4.315376281738281e-05 nb_pixel_total : 519 time to create 1 rle with old method : 0.0008029937744140625 length of segment : 44 time for calcul the mask position with numpy : 9.608268737792969e-05 nb_pixel_total : 1798 time to create 1 rle with old method : 0.0029141902923583984 length of segment : 48 time for calcul the mask position with numpy : 3.814697265625e-05 nb_pixel_total : 378 time to create 1 rle with old method : 0.0005404949188232422 length of segment : 18 time for calcul the mask position with numpy : 4.0531158447265625e-05 nb_pixel_total : 622 time to create 1 rle with old method : 0.0009124279022216797 length of segment : 36 time for calcul the mask position with numpy : 6.866455078125e-05 nb_pixel_total : 1497 time to create 1 rle with old method : 0.0019330978393554688 length of segment : 72 time for calcul the mask position with numpy : 3.4332275390625e-05 nb_pixel_total : 129 time to create 1 rle with old method : 0.00021004676818847656 length of segment : 16 time for calcul the mask position with numpy : 5.793571472167969e-05 nb_pixel_total : 943 time to create 1 rle with old method : 0.0012767314910888672 length of segment : 38 time for calcul the mask position with numpy : 3.1948089599609375e-05 nb_pixel_total : 118 time to create 1 rle with old method : 0.00022268295288085938 length of segment : 9 time for calcul the mask position with numpy : 6.532669067382812e-05 nb_pixel_total : 420 time to create 1 rle with old method : 0.0010669231414794922 length of segment : 21 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -122.12188 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 8 time for calcul the mask position with numpy : 4.696846008300781e-05 nb_pixel_total : 384 time to create 1 rle with old method : 0.0005981922149658203 length of segment : 23 time for calcul the mask position with numpy : 4.3392181396484375e-05 nb_pixel_total : 832 time to create 1 rle with old method : 0.0011091232299804688 length of segment : 42 time for calcul the mask position with numpy : 0.00010395050048828125 nb_pixel_total : 4487 time to create 1 rle with old method : 0.0056607723236083984 length of segment : 57 time for calcul the mask position with numpy : 0.00012826919555664062 nb_pixel_total : 4986 time to create 1 rle with old method : 0.0065097808837890625 length of segment : 65 time for calcul the mask position with numpy : 0.00010347366333007812 nb_pixel_total : 762 time to create 1 rle with old method : 0.0010714530944824219 length of segment : 111 time for calcul the mask position with numpy : 0.00014781951904296875 nb_pixel_total : 4094 time to create 1 rle with old method : 0.0054242610931396484 length of segment : 163 time for calcul the mask position with numpy : 0.00013208389282226562 nb_pixel_total : 2024 time to create 1 rle with old method : 0.002711772918701172 length of segment : 102 time for calcul the mask position with numpy : 0.0004210472106933594 nb_pixel_total : 10399 time to create 1 rle with old method : 0.013410568237304688 length of segment : 267 Processing 1 images image shape: (400, 320, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 133.09219 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 6 time for calcul the mask position with numpy : 4.935264587402344e-05 nb_pixel_total : 646 time to create 1 rle with old method : 0.0008471012115478516 length of segment : 62 time for calcul the mask position with numpy : 5.7697296142578125e-05 nb_pixel_total : 539 time to create 1 rle with old method : 0.0008282661437988281 length of segment : 30 time for calcul the mask position with numpy : 9.107589721679688e-05 nb_pixel_total : 1217 time to create 1 rle with old method : 0.0017902851104736328 length of segment : 89 time for calcul the mask position with numpy : 8.249282836914062e-05 nb_pixel_total : 1812 time to create 1 rle with old method : 0.0022125244140625 length of segment : 88 time for calcul the mask position with numpy : 7.343292236328125e-05 nb_pixel_total : 565 time to create 1 rle with old method : 0.0008180141448974609 length of segment : 58 time for calcul the mask position with numpy : 4.4345855712890625e-05 nb_pixel_total : 706 time to create 1 rle with old method : 0.0009336471557617188 length of segment : 46 Processing 1 images image shape: (280, 400, 3) min: 12.00000 max: 181.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 55.70547 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 1 time for calcul the mask position with numpy : 0.0009145736694335938 nb_pixel_total : 106968 time to create 1 rle with old method : 0.1190483570098877 length of segment : 283 Processing 1 images image shape: (280, 400, 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: 640.00000 nb d'objets trouves : 13 time for calcul the mask position with numpy : 8.916854858398438e-05 nb_pixel_total : 3493 time to create 1 rle with old method : 0.00530552864074707 length of segment : 81 time for calcul the mask position with numpy : 3.743171691894531e-05 nb_pixel_total : 190 time to create 1 rle with old method : 0.00033855438232421875 length of segment : 12 time for calcul the mask position with numpy : 6.318092346191406e-05 nb_pixel_total : 1858 time to create 1 rle with old method : 0.002301931381225586 length of segment : 53 time for calcul the mask position with numpy : 4.1484832763671875e-05 nb_pixel_total : 392 time to create 1 rle with old method : 0.0005815029144287109 length of segment : 25 time for calcul the mask position with numpy : 7.677078247070312e-05 nb_pixel_total : 2040 time to create 1 rle with old method : 0.002519369125366211 length of segment : 74 time for calcul the mask position with numpy : 7.224082946777344e-05 nb_pixel_total : 2145 time to create 1 rle with old method : 0.002830982208251953 length of segment : 69 time for calcul the mask position with numpy : 5.7220458984375e-05 nb_pixel_total : 1102 time to create 1 rle with old method : 0.001461029052734375 length of segment : 64 time for calcul the mask position with numpy : 3.528594970703125e-05 nb_pixel_total : 240 time to create 1 rle with old method : 0.00032973289489746094 length of segment : 29 time for calcul the mask position with numpy : 5.221366882324219e-05 nb_pixel_total : 1223 time to create 1 rle with old method : 0.0016467571258544922 length of segment : 53 time for calcul the mask position with numpy : 3.24249267578125e-05 nb_pixel_total : 108 time to create 1 rle with old method : 0.00017499923706054688 length of segment : 16 time for calcul the mask position with numpy : 7.62939453125e-05 nb_pixel_total : 2150 time to create 1 rle with old method : 0.0027790069580078125 length of segment : 76 time for calcul the mask position with numpy : 3.2901763916015625e-05 nb_pixel_total : 253 time to create 1 rle with old method : 0.0003631114959716797 length of segment : 23 time for calcul the mask position with numpy : 5.054473876953125e-05 nb_pixel_total : 1469 time to create 1 rle with old method : 0.0018994808197021484 length of segment : 77 Processing 1 images image shape: (280, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 144.21719 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 19 time for calcul the mask position with numpy : 8.296966552734375e-05 nb_pixel_total : 1345 time to create 1 rle with old method : 0.0023818016052246094 length of segment : 46 time for calcul the mask position with numpy : 3.886222839355469e-05 nb_pixel_total : 68 time to create 1 rle with old method : 0.0001590251922607422 length of segment : 9 time for calcul the mask position with numpy : 6.508827209472656e-05 nb_pixel_total : 1037 time to create 1 rle with old method : 0.0018990039825439453 length of segment : 54 time for calcul the mask position with numpy : 9.417533874511719e-05 nb_pixel_total : 1003 time to create 1 rle with old method : 0.0017457008361816406 length of segment : 50 time for calcul the mask position with numpy : 6.175041198730469e-05 nb_pixel_total : 451 time to create 1 rle with old method : 0.0006515979766845703 length of segment : 27 time for calcul the mask position with numpy : 3.933906555175781e-05 nb_pixel_total : 306 time to create 1 rle with old method : 0.0004150867462158203 length of segment : 24 time for calcul the mask position with numpy : 5.626678466796875e-05 nb_pixel_total : 720 time to create 1 rle with old method : 0.0009911060333251953 length of segment : 45 time for calcul the mask position with numpy : 3.600120544433594e-05 nb_pixel_total : 220 time to create 1 rle with old method : 0.0003044605255126953 length of segment : 28 time for calcul the mask position with numpy : 5.626678466796875e-05 nb_pixel_total : 772 time to create 1 rle with old method : 0.00112152099609375 length of segment : 28 time for calcul the mask position with numpy : 3.075599670410156e-05 nb_pixel_total : 101 time to create 1 rle with old method : 0.00018739700317382812 length of segment : 8 time for calcul the mask position with numpy : 5.888938903808594e-05 nb_pixel_total : 1381 time to create 1 rle with old method : 0.0019359588623046875 length of segment : 32 time for calcul the mask position with numpy : 3.4809112548828125e-05 nb_pixel_total : 167 time to create 1 rle with old method : 0.0002853870391845703 length of segment : 13 time for calcul the mask position with numpy : 4.124641418457031e-05 nb_pixel_total : 116 time to create 1 rle with old method : 0.0002129077911376953 length of segment : 7 time for calcul the mask position with numpy : 4.482269287109375e-05 nb_pixel_total : 582 time to create 1 rle with old method : 0.0007333755493164062 length of segment : 37 time for calcul the mask position with numpy : 5.626678466796875e-05 nb_pixel_total : 107 time to create 1 rle with old method : 0.0002617835998535156 length of segment : 17 time for calcul the mask position with numpy : 4.673004150390625e-05 nb_pixel_total : 37 time to create 1 rle with old method : 9.489059448242188e-05 length of segment : 6 time for calcul the mask position with numpy : 3.457069396972656e-05 nb_pixel_total : 275 time to create 1 rle with old method : 0.0003745555877685547 length of segment : 18 time for calcul the mask position with numpy : 3.7670135498046875e-05 nb_pixel_total : 361 time to create 1 rle with old method : 0.0005183219909667969 length of segment : 19 time for calcul the mask position with numpy : 3.719329833984375e-05 nb_pixel_total : 325 time to create 1 rle with old method : 0.00044274330139160156 length of segment : 25 Processing 1 images image shape: (280, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 145.68984 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 17 time for calcul the mask position with numpy : 5.078315734863281e-05 nb_pixel_total : 810 time to create 1 rle with old method : 0.001130819320678711 length of segment : 40 time for calcul the mask position with numpy : 3.6716461181640625e-05 nb_pixel_total : 386 time to create 1 rle with old method : 0.0005390644073486328 length of segment : 24 time for calcul the mask position with numpy : 5.817413330078125e-05 nb_pixel_total : 1582 time to create 1 rle with old method : 0.001960277557373047 length of segment : 71 time for calcul the mask position with numpy : 4.410743713378906e-05 nb_pixel_total : 780 time to create 1 rle with old method : 0.0011057853698730469 length of segment : 24 time for calcul the mask position with numpy : 3.409385681152344e-05 nb_pixel_total : 263 time to create 1 rle with old method : 0.0003790855407714844 length of segment : 28 time for calcul the mask position with numpy : 3.314018249511719e-05 nb_pixel_total : 97 time to create 1 rle with old method : 0.00017786026000976562 length of segment : 28 time for calcul the mask position with numpy : 7.987022399902344e-05 nb_pixel_total : 3435 time to create 1 rle with old method : 0.004209041595458984 length of segment : 90 time for calcul the mask position with numpy : 3.337860107421875e-05 nb_pixel_total : 129 time to create 1 rle with old method : 0.00022554397583007812 length of segment : 12 time for calcul the mask position with numpy : 3.933906555175781e-05 nb_pixel_total : 518 time to create 1 rle with old method : 0.0006821155548095703 length of segment : 38 time for calcul the mask position with numpy : 6.389617919921875e-05 nb_pixel_total : 1285 time to create 1 rle with old method : 0.0016787052154541016 length of segment : 65 time for calcul the mask position with numpy : 4.744529724121094e-05 nb_pixel_total : 821 time to create 1 rle with old method : 0.0011301040649414062 length of segment : 25 time for calcul the mask position with numpy : 4.267692565917969e-05 nb_pixel_total : 686 time to create 1 rle with old method : 0.0009760856628417969 length of segment : 29 time for calcul the mask position with numpy : 7.581710815429688e-05 nb_pixel_total : 3449 time to create 1 rle with old method : 0.004313468933105469 length of segment : 88 time for calcul the mask position with numpy : 3.457069396972656e-05 nb_pixel_total : 245 time to create 1 rle with old method : 0.0003936290740966797 length of segment : 12 time for calcul the mask position with numpy : 3.123283386230469e-05 nb_pixel_total : 97 time to create 1 rle with old method : 0.0001494884490966797 length of segment : 26 time for calcul the mask position with numpy : 3.0040740966796875e-05 nb_pixel_total : 132 time to create 1 rle with old method : 0.00023221969604492188 length of segment : 10 time for calcul the mask position with numpy : 3.170967102050781e-05 nb_pixel_total : 268 time to create 1 rle with old method : 0.0004608631134033203 length of segment : 12 Processing 1 images image shape: (280, 320, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 130.85000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 2 time for calcul the mask position with numpy : 5.435943603515625e-05 nb_pixel_total : 48 time to create 1 rle with old method : 0.00011897087097167969 length of segment : 28 time for calcul the mask position with numpy : 0.00051116943359375 nb_pixel_total : 49996 time to create 1 rle with old method : 0.05792641639709473 length of segment : 333 NEW PHOTO pour l'instant on ne peut pas sauvegarder la photo dans les tile Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -116.50469 max: 145.73672 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 5 time for calcul the mask position with numpy : 5.269050598144531e-05 nb_pixel_total : 310 time to create 1 rle with old method : 0.0005905628204345703 length of segment : 40 time for calcul the mask position with numpy : 4.1484832763671875e-05 nb_pixel_total : 46 time to create 1 rle with old method : 0.00012683868408203125 length of segment : 12 time for calcul the mask position with numpy : 5.173683166503906e-05 nb_pixel_total : 981 time to create 1 rle with old method : 0.0017883777618408203 length of segment : 37 length of segment : 0 time for calcul the mask position with numpy : 6.079673767089844e-05 nb_pixel_total : 1034 time to create 1 rle with old method : 0.001886606216430664 length of segment : 39 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -119.84453 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 8 time for calcul the mask position with numpy : 5.030632019042969e-05 nb_pixel_total : 869 time to create 1 rle with old method : 0.001161813735961914 length of segment : 54 time for calcul the mask position with numpy : 3.337860107421875e-05 nb_pixel_total : 76 time to create 1 rle with old method : 0.0001316070556640625 length of segment : 25 time for calcul the mask position with numpy : 5.91278076171875e-05 nb_pixel_total : 2164 time to create 1 rle with old method : 0.002641439437866211 length of segment : 42 time for calcul the mask position with numpy : 3.910064697265625e-05 nb_pixel_total : 551 time to create 1 rle with old method : 0.0008184909820556641 length of segment : 14 time for calcul the mask position with numpy : 0.0003504753112792969 nb_pixel_total : 14633 time to create 1 rle with old method : 0.01736307144165039 length of segment : 361 time for calcul the mask position with numpy : 9.131431579589844e-05 nb_pixel_total : 1909 time to create 1 rle with old method : 0.0027387142181396484 length of segment : 50 time for calcul the mask position with numpy : 4.649162292480469e-05 nb_pixel_total : 883 time to create 1 rle with old method : 0.0010857582092285156 length of segment : 37 time for calcul the mask position with numpy : 4.100799560546875e-05 nb_pixel_total : 840 time to create 1 rle with old method : 0.0011050701141357422 length of segment : 54 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -122.26250 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 3 time for calcul the mask position with numpy : 9.131431579589844e-05 nb_pixel_total : 3293 time to create 1 rle with old method : 0.0040242671966552734 length of segment : 133 time for calcul the mask position with numpy : 5.435943603515625e-05 nb_pixel_total : 1386 time to create 1 rle with old method : 0.0017621517181396484 length of segment : 36 time for calcul the mask position with numpy : 9.489059448242188e-05 nb_pixel_total : 3584 time to create 1 rle with old method : 0.004685401916503906 length of segment : 119 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -122.50469 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 6 time for calcul the mask position with numpy : 0.00013184547424316406 nb_pixel_total : 6365 time to create 1 rle with old method : 0.008180379867553711 length of segment : 102 time for calcul the mask position with numpy : 6.461143493652344e-05 nb_pixel_total : 952 time to create 1 rle with old method : 0.001161813735961914 length of segment : 54 time for calcul the mask position with numpy : 3.62396240234375e-05 nb_pixel_total : 374 time to create 1 rle with old method : 0.0005464553833007812 length of segment : 18 time for calcul the mask position with numpy : 3.2901763916015625e-05 nb_pixel_total : 189 time to create 1 rle with old method : 0.0002846717834472656 length of segment : 17 time for calcul the mask position with numpy : 0.00011110305786132812 nb_pixel_total : 2410 time to create 1 rle with old method : 0.0031480789184570312 length of segment : 125 time for calcul the mask position with numpy : 6.437301635742188e-05 nb_pixel_total : 1559 time to create 1 rle with old method : 0.0020399093627929688 length of segment : 76 Processing 1 images image shape: (400, 320, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 139.73281 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 3 time for calcul the mask position with numpy : 4.2438507080078125e-05 nb_pixel_total : 540 time to create 1 rle with old method : 0.0007669925689697266 length of segment : 20 time for calcul the mask position with numpy : 3.814697265625e-05 nb_pixel_total : 453 time to create 1 rle with old method : 0.000579833984375 length of segment : 65 time for calcul the mask position with numpy : 0.0006279945373535156 nb_pixel_total : 58656 time to create 1 rle with old method : 0.07359766960144043 length of segment : 257 Processing 1 images image shape: (400, 400, 3) min: 10.00000 max: 197.00000 molded_images shape: (1, 640, 640, 3) min: -94.23516 max: 64.07656 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 0 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -116.86406 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 19 time for calcul the mask position with numpy : 0.00010013580322265625 nb_pixel_total : 1379 time to create 1 rle with old method : 0.0024144649505615234 length of segment : 53 time for calcul the mask position with numpy : 4.506111145019531e-05 nb_pixel_total : 244 time to create 1 rle with old method : 0.00040340423583984375 length of segment : 14 time for calcul the mask position with numpy : 4.410743713378906e-05 nb_pixel_total : 569 time to create 1 rle with old method : 0.0008401870727539062 length of segment : 26 time for calcul the mask position with numpy : 4.4345855712890625e-05 nb_pixel_total : 197 time to create 1 rle with old method : 0.0004153251647949219 length of segment : 16 time for calcul the mask position with numpy : 5.602836608886719e-05 nb_pixel_total : 798 time to create 1 rle with old method : 0.001110076904296875 length of segment : 39 time for calcul the mask position with numpy : 4.267692565917969e-05 nb_pixel_total : 376 time to create 1 rle with old method : 0.0005891323089599609 length of segment : 18 time for calcul the mask position with numpy : 5.984306335449219e-05 nb_pixel_total : 117 time to create 1 rle with old method : 0.00028586387634277344 length of segment : 8 time for calcul the mask position with numpy : 3.504753112792969e-05 nb_pixel_total : 232 time to create 1 rle with old method : 0.0003437995910644531 length of segment : 19 time for calcul the mask position with numpy : 6.866455078125e-05 nb_pixel_total : 848 time to create 1 rle with old method : 0.0011932849884033203 length of segment : 50 time for calcul the mask position with numpy : 6.532669067382812e-05 nb_pixel_total : 277 time to create 1 rle with old method : 0.0005774497985839844 length of segment : 21 time for calcul the mask position with numpy : 0.00010848045349121094 nb_pixel_total : 574 time to create 1 rle with old method : 0.0014538764953613281 length of segment : 35 time for calcul the mask position with numpy : 9.226799011230469e-05 nb_pixel_total : 441 time to create 1 rle with old method : 0.0009582042694091797 length of segment : 22 time for calcul the mask position with numpy : 9.72747802734375e-05 nb_pixel_total : 783 time to create 1 rle with old method : 0.001523733139038086 length of segment : 64 time for calcul the mask position with numpy : 0.00010275840759277344 nb_pixel_total : 243 time to create 1 rle with old method : 0.00078582763671875 length of segment : 22 time for calcul the mask position with numpy : 6.890296936035156e-05 nb_pixel_total : 112 time to create 1 rle with old method : 0.00039768218994140625 length of segment : 18 time for calcul the mask position with numpy : 8.153915405273438e-05 nb_pixel_total : 442 time to create 1 rle with old method : 0.0015299320220947266 length of segment : 23 time for calcul the mask position with numpy : 0.00013875961303710938 nb_pixel_total : 350 time to create 1 rle with old method : 0.0008952617645263672 length of segment : 25 time for calcul the mask position with numpy : 0.00011038780212402344 nb_pixel_total : 992 time to create 1 rle with old method : 0.0023345947265625 length of segment : 73 time for calcul the mask position with numpy : 7.224082946777344e-05 nb_pixel_total : 465 time to create 1 rle with old method : 0.0013821125030517578 length of segment : 38 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -120.23906 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 8 time for calcul the mask position with numpy : 0.00018143653869628906 nb_pixel_total : 8966 time to create 1 rle with old method : 0.013350248336791992 length of segment : 91 time for calcul the mask position with numpy : 5.125999450683594e-05 nb_pixel_total : 337 time to create 1 rle with old method : 0.0005123615264892578 length of segment : 20 time for calcul the mask position with numpy : 4.744529724121094e-05 nb_pixel_total : 540 time to create 1 rle with old method : 0.0007979869842529297 length of segment : 28 time for calcul the mask position with numpy : 3.790855407714844e-05 nb_pixel_total : 442 time to create 1 rle with old method : 0.0006275177001953125 length of segment : 20 time for calcul the mask position with numpy : 5.2928924560546875e-05 nb_pixel_total : 407 time to create 1 rle with old method : 0.0006732940673828125 length of segment : 20 time for calcul the mask position with numpy : 5.698204040527344e-05 nb_pixel_total : 457 time to create 1 rle with old method : 0.0008502006530761719 length of segment : 18 time for calcul the mask position with numpy : 8.940696716308594e-05 nb_pixel_total : 1317 time to create 1 rle with old method : 0.002033233642578125 length of segment : 68 time for calcul the mask position with numpy : 6.794929504394531e-05 nb_pixel_total : 726 time to create 1 rle with old method : 0.0012264251708984375 length of segment : 30 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -122.80547 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 9 time for calcul the mask position with numpy : 5.435943603515625e-05 nb_pixel_total : 274 time to create 1 rle with old method : 0.0006453990936279297 length of segment : 18 time for calcul the mask position with numpy : 0.0001556873321533203 nb_pixel_total : 5193 time to create 1 rle with old method : 0.007128238677978516 length of segment : 60 time for calcul the mask position with numpy : 0.00013947486877441406 nb_pixel_total : 4733 time to create 1 rle with old method : 0.0068514347076416016 length of segment : 53 time for calcul the mask position with numpy : 0.0003185272216796875 nb_pixel_total : 5365 time to create 1 rle with old method : 0.008614778518676758 length of segment : 215 time for calcul the mask position with numpy : 7.43865966796875e-05 nb_pixel_total : 830 time to create 1 rle with old method : 0.001253366470336914 length of segment : 38 time for calcul the mask position with numpy : 0.0001933574676513672 nb_pixel_total : 1644 time to create 1 rle with old method : 0.0033540725708007812 length of segment : 97 time for calcul the mask position with numpy : 0.00015282630920410156 nb_pixel_total : 1536 time to create 1 rle with old method : 0.0039746761322021484 length of segment : 95 time for calcul the mask position with numpy : 0.00038909912109375 nb_pixel_total : 3857 time to create 1 rle with old method : 0.006380558013916016 length of segment : 128 time for calcul the mask position with numpy : 0.00016546249389648438 nb_pixel_total : 6248 time to create 1 rle with old method : 0.009886980056762695 length of segment : 137 Processing 1 images image shape: (400, 320, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 129.82656 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 7 time for calcul the mask position with numpy : 6.532669067382812e-05 nb_pixel_total : 1724 time to create 1 rle with old method : 0.002199888229370117 length of segment : 85 time for calcul the mask position with numpy : 4.482269287109375e-05 nb_pixel_total : 673 time to create 1 rle with old method : 0.0008897781372070312 length of segment : 46 time for calcul the mask position with numpy : 4.7206878662109375e-05 nb_pixel_total : 834 time to create 1 rle with old method : 0.0010941028594970703 length of segment : 60 time for calcul the mask position with numpy : 4.792213439941406e-05 nb_pixel_total : 499 time to create 1 rle with old method : 0.0008027553558349609 length of segment : 36 time for calcul the mask position with numpy : 9.012222290039062e-05 nb_pixel_total : 616 time to create 1 rle with old method : 0.0016329288482666016 length of segment : 59 time for calcul the mask position with numpy : 0.00026988983154296875 nb_pixel_total : 4279 time to create 1 rle with old method : 0.0061304569244384766 length of segment : 203 time for calcul the mask position with numpy : 5.2928924560546875e-05 nb_pixel_total : 821 time to create 1 rle with old method : 0.0010745525360107422 length of segment : 55 Processing 1 images image shape: (280, 400, 3) min: 15.00000 max: 175.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 55.10781 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 1 time for calcul the mask position with numpy : 0.0009293556213378906 nb_pixel_total : 106465 time to create 1 rle with old method : 0.11928963661193848 length of segment : 282 Processing 1 images image shape: (280, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 150.36953 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 16 time for calcul the mask position with numpy : 9.012222290039062e-05 nb_pixel_total : 3484 time to create 1 rle with old method : 0.00418853759765625 length of segment : 85 time for calcul the mask position with numpy : 7.2479248046875e-05 nb_pixel_total : 1847 time to create 1 rle with old method : 0.002424955368041992 length of segment : 49 time for calcul the mask position with numpy : 4.792213439941406e-05 nb_pixel_total : 161 time to create 1 rle with old method : 0.0003008842468261719 length of segment : 9 time for calcul the mask position with numpy : 5.602836608886719e-05 nb_pixel_total : 1288 time to create 1 rle with old method : 0.0018172264099121094 length of segment : 56 time for calcul the mask position with numpy : 9.560585021972656e-05 nb_pixel_total : 2256 time to create 1 rle with old method : 0.0029375553131103516 length of segment : 77 time for calcul the mask position with numpy : 9.322166442871094e-05 nb_pixel_total : 2724 time to create 1 rle with old method : 0.003955841064453125 length of segment : 105 time for calcul the mask position with numpy : 0.00021266937255859375 nb_pixel_total : 4866 time to create 1 rle with old method : 0.007074594497680664 length of segment : 107 time for calcul the mask position with numpy : 0.00014472007751464844 nb_pixel_total : 375 time to create 1 rle with old method : 0.00063323974609375 length of segment : 22 time for calcul the mask position with numpy : 9.989738464355469e-05 nb_pixel_total : 2200 time to create 1 rle with old method : 0.0029354095458984375 length of segment : 77 time for calcul the mask position with numpy : 5.269050598144531e-05 nb_pixel_total : 367 time to create 1 rle with old method : 0.0005640983581542969 length of segment : 21 time for calcul the mask position with numpy : 0.0001232624053955078 nb_pixel_total : 3555 time to create 1 rle with old method : 0.005150556564331055 length of segment : 145 time for calcul the mask position with numpy : 7.271766662597656e-05 nb_pixel_total : 1148 time to create 1 rle with old method : 0.0014996528625488281 length of segment : 59 time for calcul the mask position with numpy : 5.0067901611328125e-05 nb_pixel_total : 721 time to create 1 rle with old method : 0.0010464191436767578 length of segment : 33 time for calcul the mask position with numpy : 7.152557373046875e-05 nb_pixel_total : 633 time to create 1 rle with old method : 0.0009176731109619141 length of segment : 36 time for calcul the mask position with numpy : 3.62396240234375e-05 nb_pixel_total : 85 time to create 1 rle with old method : 0.0001513957977294922 length of segment : 15 time for calcul the mask position with numpy : 3.838539123535156e-05 nb_pixel_total : 261 time to create 1 rle with old method : 0.0004792213439941406 length of segment : 24 Processing 1 images image shape: (280, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 145.13906 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 15 time for calcul the mask position with numpy : 8.7738037109375e-05 nb_pixel_total : 1358 time to create 1 rle with old method : 0.0027816295623779297 length of segment : 47 time for calcul the mask position with numpy : 8.916854858398438e-05 nb_pixel_total : 1403 time to create 1 rle with old method : 0.0028476715087890625 length of segment : 39 time for calcul the mask position with numpy : 6.508827209472656e-05 nb_pixel_total : 761 time to create 1 rle with old method : 0.0015003681182861328 length of segment : 27 time for calcul the mask position with numpy : 4.792213439941406e-05 nb_pixel_total : 74 time to create 1 rle with old method : 0.00019788742065429688 length of segment : 10 time for calcul the mask position with numpy : 5.435943603515625e-05 nb_pixel_total : 439 time to create 1 rle with old method : 0.0008792877197265625 length of segment : 26 time for calcul the mask position with numpy : 6.532669067382812e-05 nb_pixel_total : 622 time to create 1 rle with old method : 0.0011546611785888672 length of segment : 40 time for calcul the mask position with numpy : 8.630752563476562e-05 nb_pixel_total : 1261 time to create 1 rle with old method : 0.0023393630981445312 length of segment : 40 time for calcul the mask position with numpy : 6.079673767089844e-05 nb_pixel_total : 475 time to create 1 rle with old method : 0.0009224414825439453 length of segment : 33 time for calcul the mask position with numpy : 4.267692565917969e-05 nb_pixel_total : 115 time to create 1 rle with old method : 0.00028777122497558594 length of segment : 8 time for calcul the mask position with numpy : 4.839897155761719e-05 nb_pixel_total : 178 time to create 1 rle with old method : 0.0003960132598876953 length of segment : 12 time for calcul the mask position with numpy : 4.9114227294921875e-05 nb_pixel_total : 292 time to create 1 rle with old method : 0.0005741119384765625 length of segment : 25 time for calcul the mask position with numpy : 4.935264587402344e-05 nb_pixel_total : 240 time to create 1 rle with old method : 0.00044798851013183594 length of segment : 27 time for calcul the mask position with numpy : 4.1961669921875e-05 nb_pixel_total : 176 time to create 1 rle with old method : 0.000396728515625 length of segment : 12 time for calcul the mask position with numpy : 6.508827209472656e-05 nb_pixel_total : 1231 time to create 1 rle with old method : 0.001957416534423828 length of segment : 40 time for calcul the mask position with numpy : 4.649162292480469e-05 nb_pixel_total : 428 time to create 1 rle with old method : 0.000629425048828125 length of segment : 20 Processing 1 images image shape: (280, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 146.76016 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 16 time for calcul the mask position with numpy : 5.221366882324219e-05 nb_pixel_total : 823 time to create 1 rle with old method : 0.0011935234069824219 length of segment : 38 time for calcul the mask position with numpy : 5.936622619628906e-05 nb_pixel_total : 1530 time to create 1 rle with old method : 0.0020601749420166016 length of segment : 70 time for calcul the mask position with numpy : 6.890296936035156e-05 nb_pixel_total : 791 time to create 1 rle with old method : 0.0017075538635253906 length of segment : 24 time for calcul the mask position with numpy : 4.506111145019531e-05 nb_pixel_total : 369 time to create 1 rle with old method : 0.0005550384521484375 length of segment : 24 time for calcul the mask position with numpy : 8.726119995117188e-05 nb_pixel_total : 3088 time to create 1 rle with old method : 0.004035234451293945 length of segment : 82 time for calcul the mask position with numpy : 4.7206878662109375e-05 nb_pixel_total : 732 time to create 1 rle with old method : 0.001010894775390625 length of segment : 36 time for calcul the mask position with numpy : 3.218650817871094e-05 nb_pixel_total : 126 time to create 1 rle with old method : 0.00021529197692871094 length of segment : 12 time for calcul the mask position with numpy : 3.361701965332031e-05 nb_pixel_total : 242 time to create 1 rle with old method : 0.0004279613494873047 length of segment : 12 time for calcul the mask position with numpy : 4.220008850097656e-05 nb_pixel_total : 690 time to create 1 rle with old method : 0.0009648799896240234 length of segment : 29 time for calcul the mask position with numpy : 0.00012445449829101562 nb_pixel_total : 1067 time to create 1 rle with old method : 0.0014564990997314453 length of segment : 69 time for calcul the mask position with numpy : 4.7206878662109375e-05 nb_pixel_total : 700 time to create 1 rle with old method : 0.0009586811065673828 length of segment : 29 time for calcul the mask position with numpy : 3.337860107421875e-05 nb_pixel_total : 102 time to create 1 rle with old method : 0.00015425682067871094 length of segment : 26 time for calcul the mask position with numpy : 4.5299530029296875e-05 nb_pixel_total : 798 time to create 1 rle with old method : 0.0011317729949951172 length of segment : 24 time for calcul the mask position with numpy : 7.534027099609375e-05 nb_pixel_total : 3062 time to create 1 rle with old method : 0.003996610641479492 length of segment : 80 length of segment : 0 time for calcul the mask position with numpy : 3.266334533691406e-05 nb_pixel_total : 113 time to create 1 rle with old method : 0.00019288063049316406 length of segment : 11 Processing 1 images image shape: (280, 320, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 133.91250 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 1 time for calcul the mask position with numpy : 0.0003826618194580078 nb_pixel_total : 20362 time to create 1 rle with old method : 0.023812294006347656 length of segment : 276 Detection mask done ! Trying to reset tf kernel 2826861 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 5485 tf kernel not reseted sub process len(results) : 463 len(list_Values) 463 None max_time_sub_proc : 3600 parent process len(results) : 0 len(list_Values) 463 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 : 10774 Inside saveOutput : final : False verbose : 0 eke 12-6-18 : saveMask need to be cleaned for new output ! Catched exception ! Connect or reconnect ! Number saved : None batch 1 Loaded 463 chid ids of type : 4228 Number RLEs to save : 23949 save missing photos in datou_result : time spend for datou_step_exec : 31.482876300811768 time spend to save output : 2.0318143367767334 total time spend for step 1 : 33.5146906375885 step2:brightness Wed Feb 12 10:18:50 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 inside step calcul brightness treat image : temp/1739351896_2826529_1332349739_70cf95e057c454e1b92695f11820f394.jpg treat image : temp/1739351896_2826529_1332349696_ad1dd3976c762e1f0d8a970fba3b0a46.jpg treat image : temp/1739351896_2826529_1332349510_3d3c79928af5ef2cd07a13e13a0a66dc.jpg treat image : temp/1739351896_2826529_1332349394_015147b3d08403da9b43f301ee672cec.jpg 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 : 4 time used for this insertion : 0.012905120849609375 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 4 time used for this insertion : 0.01796102523803711 save missing photos in datou_result : time spend for datou_step_exec : 1.196784257888794 time spend to save output : 0.0352175235748291 total time spend for step 2 : 1.232001781463623 step3:blur_detection Wed Feb 12 10:18:51 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 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/1739351896_2826529_1332349739_70cf95e057c454e1b92695f11820f394.jpg resize: (1080, 1920) 1332349739 -7.753768219906459 treat image : temp/1739351896_2826529_1332349696_ad1dd3976c762e1f0d8a970fba3b0a46.jpg resize: (1080, 1920) 1332349696 -7.74740729215331 treat image : temp/1739351896_2826529_1332349510_3d3c79928af5ef2cd07a13e13a0a66dc.jpg resize: (1080, 1920) 1332349510 -7.806488001928773 treat image : temp/1739351896_2826529_1332349394_015147b3d08403da9b43f301ee672cec.jpg resize: (1080, 1920) 1332349394 -7.756729885797936 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 : 4 time used for this insertion : 0.010758161544799805 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 4 time used for this insertion : 0.010922431945800781 save missing photos in datou_result : time spend for datou_step_exec : 4.279664993286133 time spend to save output : 0.0261688232421875 total time spend for step 3 : 4.30583381652832 step4:rle_unique_nms_with_priority Wed Feb 12 10:18:55 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 VR 22-3-18 : For now we do not clean correctly the datou structure Begin step rle-unique-nms batch 1 Loaded 463 chid ids of type : 4228 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++nb_obj : 106 nb_hashtags : 7 time to prepare the origin masks : 1.1262717247009277 time for calcul the mask position with numpy : 0.05904722213745117 nb_pixel_total : 1749678 time to create 1 rle with new method : 0.193526029586792 time for calcul the mask position with numpy : 0.008418083190917969 nb_pixel_total : 36 time to create 1 rle with old method : 6.198883056640625e-05 time for calcul the mask position with numpy : 0.00837254524230957 nb_pixel_total : 143 time to create 1 rle with old method : 0.0002067089080810547 time for calcul the mask position with numpy : 0.008351325988769531 nb_pixel_total : 34 time to create 1 rle with old method : 7.748603820800781e-05 time for calcul the mask position with numpy : 0.008386611938476562 nb_pixel_total : 535 time to create 1 rle with old method : 0.0007097721099853516 time for calcul the mask position with numpy : 0.008377552032470703 nb_pixel_total : 810 time to create 1 rle with old method : 0.0009801387786865234 time for calcul the mask position with numpy : 0.008429765701293945 nb_pixel_total : 953 time to create 1 rle with old method : 0.0011343955993652344 time for calcul the mask position with numpy : 0.009229898452758789 nb_pixel_total : 255 time to create 1 rle with old method : 0.0003986358642578125 time for calcul the mask position with numpy : 0.01030731201171875 nb_pixel_total : 21 time to create 1 rle with old method : 4.506111145019531e-05 time for calcul the mask position with numpy : 0.008932828903198242 nb_pixel_total : 11098 time to create 1 rle with old method : 0.013366460800170898 time for calcul the mask position with numpy : 0.010661125183105469 nb_pixel_total : 56732 time to create 1 rle with old method : 0.06653571128845215 time for calcul the mask position with numpy : 0.00853276252746582 nb_pixel_total : 12248 time to create 1 rle with old method : 0.01369023323059082 time for calcul the mask position with numpy : 0.008464336395263672 nb_pixel_total : 856 time to create 1 rle with old method : 0.0009949207305908203 time for calcul the mask position with numpy : 0.008269309997558594 nb_pixel_total : 467 time to create 1 rle with old method : 0.0005118846893310547 time for calcul the mask position with numpy : 0.008218765258789062 nb_pixel_total : 4475 time to create 1 rle with old method : 0.004981040954589844 time for calcul the mask position with numpy : 0.008240699768066406 nb_pixel_total : 206 time to create 1 rle with old method : 0.0002453327178955078 time for calcul the mask position with numpy : 0.009541034698486328 nb_pixel_total : 1049 time to create 1 rle with old method : 0.0011577606201171875 time for calcul the mask position with numpy : 0.00921487808227539 nb_pixel_total : 26 time to create 1 rle with old method : 6.818771362304688e-05 time for calcul the mask position with numpy : 0.011123895645141602 nb_pixel_total : 1584 time to create 1 rle with old method : 0.0019288063049316406 time for calcul the mask position with numpy : 0.009350061416625977 nb_pixel_total : 2262 time to create 1 rle with old method : 0.0028362274169921875 time for calcul the mask position with numpy : 0.009195566177368164 nb_pixel_total : 5590 time to create 1 rle with old method : 0.006632328033447266 time for calcul the mask position with numpy : 0.008660554885864258 nb_pixel_total : 33 time to create 1 rle with old method : 8.535385131835938e-05 time for calcul the mask position with numpy : 0.008443593978881836 nb_pixel_total : 1516 time to create 1 rle with old method : 0.0025424957275390625 time for calcul the mask position with numpy : 0.008830785751342773 nb_pixel_total : 8608 time to create 1 rle with old method : 0.009828805923461914 time for calcul the mask position with numpy : 0.008362770080566406 nb_pixel_total : 1175 time to create 1 rle with old method : 0.0013935565948486328 time for calcul the mask position with numpy : 0.008675813674926758 nb_pixel_total : 4 time to create 1 rle with old method : 5.125999450683594e-05 time for calcul the mask position with numpy : 0.008536338806152344 nb_pixel_total : 9 time to create 1 rle with old method : 4.4345855712890625e-05 time for calcul the mask position with numpy : 0.008451223373413086 nb_pixel_total : 1901 time to create 1 rle with old method : 0.0027947425842285156 time for calcul the mask position with numpy : 0.009149789810180664 nb_pixel_total : 527 time to create 1 rle with old method : 0.0006427764892578125 time for calcul the mask position with numpy : 0.008512258529663086 nb_pixel_total : 264 time to create 1 rle with old method : 0.00033354759216308594 time for calcul the mask position with numpy : 0.008361339569091797 nb_pixel_total : 913 time to create 1 rle with old method : 0.0011067390441894531 time for calcul the mask position with numpy : 0.008394718170166016 nb_pixel_total : 2192 time to create 1 rle with old method : 0.0025475025177001953 time for calcul the mask position with numpy : 0.0082855224609375 nb_pixel_total : 692 time to create 1 rle with old method : 0.0007674694061279297 time for calcul the mask position with numpy : 0.008165121078491211 nb_pixel_total : 1206 time to create 1 rle with old method : 0.0012996196746826172 time for calcul the mask position with numpy : 0.008090734481811523 nb_pixel_total : 14974 time to create 1 rle with old method : 0.017998218536376953 time for calcul the mask position with numpy : 0.008691787719726562 nb_pixel_total : 1271 time to create 1 rle with old method : 0.002240896224975586 time for calcul the mask position with numpy : 0.01470804214477539 nb_pixel_total : 30901 time to create 1 rle with old method : 0.034835100173950195 time for calcul the mask position with numpy : 0.008231401443481445 nb_pixel_total : 1462 time to create 1 rle with old method : 0.0016751289367675781 time for calcul the mask position with numpy : 0.00818324089050293 nb_pixel_total : 228 time to create 1 rle with old method : 0.00025963783264160156 time for calcul the mask position with numpy : 0.008138179779052734 nb_pixel_total : 297 time to create 1 rle with old method : 0.0003559589385986328 time for calcul the mask position with numpy : 0.008617162704467773 nb_pixel_total : 92 time to create 1 rle with old method : 0.00012564659118652344 time for calcul the mask position with numpy : 0.00856328010559082 nb_pixel_total : 1809 time to create 1 rle with old method : 0.002057313919067383 time for calcul the mask position with numpy : 0.00808572769165039 nb_pixel_total : 245 time to create 1 rle with old method : 0.0003249645233154297 time for calcul the mask position with numpy : 0.00820159912109375 nb_pixel_total : 541 time to create 1 rle with old method : 0.0006425380706787109 time for calcul the mask position with numpy : 0.008168697357177734 nb_pixel_total : 541 time to create 1 rle with old method : 0.0006539821624755859 time for calcul the mask position with numpy : 0.008069276809692383 nb_pixel_total : 541 time to create 1 rle with old method : 0.0006659030914306641 time for calcul the mask position with numpy : 0.008152008056640625 nb_pixel_total : 148 time to create 1 rle with old method : 0.00018787384033203125 time for calcul the mask position with numpy : 0.008295774459838867 nb_pixel_total : 1214 time to create 1 rle with old method : 0.0012960433959960938 time for calcul the mask position with numpy : 0.00816202163696289 nb_pixel_total : 774 time to create 1 rle with old method : 0.0008530616760253906 time for calcul the mask position with numpy : 0.008142471313476562 nb_pixel_total : 1460 time to create 1 rle with old method : 0.0017390251159667969 time for calcul the mask position with numpy : 0.007959127426147461 nb_pixel_total : 197 time to create 1 rle with old method : 0.0002384185791015625 time for calcul the mask position with numpy : 0.008393287658691406 nb_pixel_total : 10 time to create 1 rle with old method : 3.838539123535156e-05 time for calcul the mask position with numpy : 0.008638143539428711 nb_pixel_total : 743 time to create 1 rle with old method : 0.0013675689697265625 time for calcul the mask position with numpy : 0.008205175399780273 nb_pixel_total : 40 time to create 1 rle with old method : 8.416175842285156e-05 time for calcul the mask position with numpy : 0.00796198844909668 nb_pixel_total : 1853 time to create 1 rle with old method : 0.0019996166229248047 time for calcul the mask position with numpy : 0.008188247680664062 nb_pixel_total : 481 time to create 1 rle with old method : 0.0005750656127929688 time for calcul the mask position with numpy : 0.00845193862915039 nb_pixel_total : 502 time to create 1 rle with old method : 0.0006425380706787109 time for calcul the mask position with numpy : 0.010415792465209961 nb_pixel_total : 482 time to create 1 rle with old method : 0.0005335807800292969 time for calcul the mask position with numpy : 0.008294343948364258 nb_pixel_total : 204 time to create 1 rle with old method : 0.00026226043701171875 time for calcul the mask position with numpy : 0.008014202117919922 nb_pixel_total : 286 time to create 1 rle with old method : 0.00034809112548828125 time for calcul the mask position with numpy : 0.008121013641357422 nb_pixel_total : 91 time to create 1 rle with old method : 0.00011491775512695312 time for calcul the mask position with numpy : 0.008208751678466797 nb_pixel_total : 114 time to create 1 rle with old method : 0.0001442432403564453 time for calcul the mask position with numpy : 0.008900165557861328 nb_pixel_total : 106846 time to create 1 rle with old method : 0.11137843132019043 time for calcul the mask position with numpy : 0.008100271224975586 nb_pixel_total : 239 time to create 1 rle with old method : 0.0002894401550292969 time for calcul the mask position with numpy : 0.008153438568115234 nb_pixel_total : 697 time to create 1 rle with old method : 0.0007262229919433594 time for calcul the mask position with numpy : 0.007915735244750977 nb_pixel_total : 385 time to create 1 rle with old method : 0.00042438507080078125 time for calcul the mask position with numpy : 0.0078582763671875 nb_pixel_total : 428 time to create 1 rle with old method : 0.0004706382751464844 time for calcul the mask position with numpy : 0.007822990417480469 nb_pixel_total : 3165 time to create 1 rle with old method : 0.0033981800079345703 time for calcul the mask position with numpy : 0.00769495964050293 nb_pixel_total : 178 time to create 1 rle with old method : 0.0002040863037109375 time for calcul the mask position with numpy : 0.007863044738769531 nb_pixel_total : 134 time to create 1 rle with old method : 0.0001461505889892578 time for calcul the mask position with numpy : 0.007890939712524414 nb_pixel_total : 96 time to create 1 rle with old method : 0.00011038780212402344 time for calcul the mask position with numpy : 0.007898092269897461 nb_pixel_total : 1 time to create 1 rle with old method : 6.67572021484375e-06 time for calcul the mask position with numpy : 0.008116722106933594 nb_pixel_total : 355 time to create 1 rle with old method : 0.00043845176696777344 time for calcul the mask position with numpy : 0.007959842681884766 nb_pixel_total : 827 time to create 1 rle with old method : 0.0008959770202636719 time for calcul the mask position with numpy : 0.008194923400878906 nb_pixel_total : 1843 time to create 1 rle with old method : 0.0021398067474365234 time for calcul the mask position with numpy : 0.008390665054321289 nb_pixel_total : 157 time to create 1 rle with old method : 0.0001976490020751953 time for calcul the mask position with numpy : 0.008196353912353516 nb_pixel_total : 547 time to create 1 rle with old method : 0.0005879402160644531 time for calcul the mask position with numpy : 0.007923364639282227 nb_pixel_total : 1389 time to create 1 rle with old method : 0.0015368461608886719 time for calcul the mask position with numpy : 0.007925987243652344 nb_pixel_total : 3428 time to create 1 rle with old method : 0.003691434860229492 time for calcul the mask position with numpy : 0.007831573486328125 nb_pixel_total : 982 time to create 1 rle with old method : 0.0011663436889648438 time for calcul the mask position with numpy : 0.00830841064453125 nb_pixel_total : 589 time to create 1 rle with old method : 0.0006883144378662109 time for calcul the mask position with numpy : 0.008151531219482422 nb_pixel_total : 2206 time to create 1 rle with old method : 0.002340555191040039 time for calcul the mask position with numpy : 0.008127689361572266 nb_pixel_total : 346 time to create 1 rle with old method : 0.0004055500030517578 time for calcul the mask position with numpy : 0.00832819938659668 nb_pixel_total : 1367 time to create 1 rle with old method : 0.0016090869903564453 time for calcul the mask position with numpy : 0.00835108757019043 nb_pixel_total : 1179 time to create 1 rle with old method : 0.0013988018035888672 time for calcul the mask position with numpy : 0.008918285369873047 nb_pixel_total : 1493 time to create 1 rle with old method : 0.0023279190063476562 time for calcul the mask position with numpy : 0.008390665054321289 nb_pixel_total : 783 time to create 1 rle with old method : 0.0009362697601318359 time for calcul the mask position with numpy : 0.008363008499145508 nb_pixel_total : 253 time to create 1 rle with old method : 0.00029206275939941406 time for calcul the mask position with numpy : 0.00838160514831543 nb_pixel_total : 23 time to create 1 rle with old method : 5.173683166503906e-05 time for calcul the mask position with numpy : 0.008376121520996094 nb_pixel_total : 247 time to create 1 rle with old method : 0.0003039836883544922 time for calcul the mask position with numpy : 0.00861811637878418 nb_pixel_total : 1931 time to create 1 rle with old method : 0.0022652149200439453 time for calcul the mask position with numpy : 0.00834965705871582 nb_pixel_total : 521 time to create 1 rle with old method : 0.0006225109100341797 time for calcul the mask position with numpy : 0.008352994918823242 nb_pixel_total : 1533 time to create 1 rle with old method : 0.0019271373748779297 time for calcul the mask position with numpy : 0.008375167846679688 nb_pixel_total : 3340 time to create 1 rle with old method : 0.003969430923461914 time for calcul the mask position with numpy : 0.00839543342590332 nb_pixel_total : 1173 time to create 1 rle with old method : 0.0014214515686035156 time for calcul the mask position with numpy : 0.00835418701171875 nb_pixel_total : 1090 time to create 1 rle with old method : 0.0012674331665039062 time for calcul the mask position with numpy : 0.00835418701171875 nb_pixel_total : 405 time to create 1 rle with old method : 0.00045990943908691406 time for calcul the mask position with numpy : 0.008391380310058594 nb_pixel_total : 56 time to create 1 rle with old method : 0.00013589859008789062 time for calcul the mask position with numpy : 0.008394241333007812 nb_pixel_total : 707 time to create 1 rle with old method : 0.0008411407470703125 time for calcul the mask position with numpy : 0.008383750915527344 nb_pixel_total : 274 time to create 1 rle with old method : 0.0003294944763183594 time for calcul the mask position with numpy : 0.008367538452148438 nb_pixel_total : 373 time to create 1 rle with old method : 0.0004458427429199219 time for calcul the mask position with numpy : 0.008385181427001953 nb_pixel_total : 601 time to create 1 rle with old method : 0.0007176399230957031 time for calcul the mask position with numpy : 0.008551359176635742 nb_pixel_total : 75 time to create 1 rle with old method : 0.00014448165893554688 time for calcul the mask position with numpy : 0.00962066650390625 nb_pixel_total : 451 time to create 1 rle with old method : 0.0007350444793701172 time for calcul the mask position with numpy : 0.009635686874389648 nb_pixel_total : 527 time to create 1 rle with old method : 0.0008485317230224609 time for calcul the mask position with numpy : 0.009664773941040039 nb_pixel_total : 656 time to create 1 rle with old method : 0.0010342597961425781 time for calcul the mask position with numpy : 0.009670495986938477 nb_pixel_total : 105 time to create 1 rle with old method : 0.00018215179443359375 create new chi : 1.5388634204864502 after preparing all the mask , begin to delete the rle from the crop_hashtag_id => VR 28-11-20 : il faut déplacer cela apres le save_crop_hashtag_ids_obj de la ligne 9514 ! we have 0 chi objets contains the rles time to delete rle : 0.00613856315612793 batch 1 Loaded 107 chid ids of type : 4230 Number RLEs to save : 12008 TO DO : save crop sub photo not yet done ! save time : 0.7023775577545166 nb_obj : 118 nb_hashtags : 7 time to prepare the origin masks : 2.0620813369750977 time for calcul the mask position with numpy : 0.5405094623565674 nb_pixel_total : 1812717 time to create 1 rle with new method : 0.3746669292449951 time for calcul the mask position with numpy : 0.006473064422607422 nb_pixel_total : 4484 time to create 1 rle with old method : 0.00503849983215332 time for calcul the mask position with numpy : 0.005911827087402344 nb_pixel_total : 75 time to create 1 rle with old method : 0.00012731552124023438 time for calcul the mask position with numpy : 0.0061604976654052734 nb_pixel_total : 27 time to create 1 rle with old method : 5.173683166503906e-05 time for calcul the mask position with numpy : 0.005820274353027344 nb_pixel_total : 777 time to create 1 rle with old method : 0.0009169578552246094 time for calcul the mask position with numpy : 0.005884408950805664 nb_pixel_total : 341 time to create 1 rle with old method : 0.0003867149353027344 time for calcul the mask position with numpy : 0.0059850215911865234 nb_pixel_total : 1000 time to create 1 rle with old method : 0.0011882781982421875 time for calcul the mask position with numpy : 0.008275508880615234 nb_pixel_total : 1548 time to create 1 rle with old method : 0.0017590522766113281 time for calcul the mask position with numpy : 0.009475231170654297 nb_pixel_total : 13627 time to create 1 rle with old method : 0.015909671783447266 time for calcul the mask position with numpy : 0.00969696044921875 nb_pixel_total : 43 time to create 1 rle with old method : 7.510185241699219e-05 time for calcul the mask position with numpy : 0.008579492568969727 nb_pixel_total : 596 time to create 1 rle with old method : 0.0007255077362060547 time for calcul the mask position with numpy : 0.008712291717529297 nb_pixel_total : 48429 time to create 1 rle with old method : 0.05611824989318848 time for calcul the mask position with numpy : 0.009641170501708984 nb_pixel_total : 765 time to create 1 rle with old method : 0.0012590885162353516 time for calcul the mask position with numpy : 0.00974130630493164 nb_pixel_total : 535 time to create 1 rle with old method : 0.00091552734375 time for calcul the mask position with numpy : 0.010259866714477539 nb_pixel_total : 64 time to create 1 rle with old method : 0.00013208389282226562 time for calcul the mask position with numpy : 0.010579586029052734 nb_pixel_total : 1046 time to create 1 rle with old method : 0.0016894340515136719 time for calcul the mask position with numpy : 0.011003255844116211 nb_pixel_total : 369 time to create 1 rle with old method : 0.0006184577941894531 time for calcul the mask position with numpy : 0.010183572769165039 nb_pixel_total : 1961 time to create 1 rle with old method : 0.0022819042205810547 time for calcul the mask position with numpy : 0.008585453033447266 nb_pixel_total : 83 time to create 1 rle with old method : 0.00021147727966308594 time for calcul the mask position with numpy : 0.010443449020385742 nb_pixel_total : 131 time to create 1 rle with old method : 0.00020360946655273438 time for calcul the mask position with numpy : 0.01190328598022461 nb_pixel_total : 6256 time to create 1 rle with old method : 0.008655548095703125 time for calcul the mask position with numpy : 0.010018110275268555 nb_pixel_total : 251 time to create 1 rle with old method : 0.00030159950256347656 time for calcul the mask position with numpy : 0.010072708129882812 nb_pixel_total : 2040 time to create 1 rle with old method : 0.002384662628173828 time for calcul the mask position with numpy : 0.01000523567199707 nb_pixel_total : 524 time to create 1 rle with old method : 0.0006558895111083984 time for calcul the mask position with numpy : 0.010302066802978516 nb_pixel_total : 12 time to create 1 rle with old method : 5.7220458984375e-05 time for calcul the mask position with numpy : 0.010343551635742188 nb_pixel_total : 327 time to create 1 rle with old method : 0.0004100799560546875 time for calcul the mask position with numpy : 0.010499954223632812 nb_pixel_total : 182 time to create 1 rle with old method : 0.00024628639221191406 time for calcul the mask position with numpy : 0.010376214981079102 nb_pixel_total : 356 time to create 1 rle with old method : 0.00044417381286621094 time for calcul the mask position with numpy : 0.01013803482055664 nb_pixel_total : 543 time to create 1 rle with old method : 0.00069427490234375 time for calcul the mask position with numpy : 0.010165691375732422 nb_pixel_total : 526 time to create 1 rle with old method : 0.0006647109985351562 time for calcul the mask position with numpy : 0.010089874267578125 nb_pixel_total : 819 time to create 1 rle with old method : 0.0009970664978027344 time for calcul the mask position with numpy : 0.00997614860534668 nb_pixel_total : 14 time to create 1 rle with old method : 5.3882598876953125e-05 time for calcul the mask position with numpy : 0.010135173797607422 nb_pixel_total : 4426 time to create 1 rle with old method : 0.005186557769775391 time for calcul the mask position with numpy : 0.006124734878540039 nb_pixel_total : 710 time to create 1 rle with old method : 0.0008432865142822266 time for calcul the mask position with numpy : 0.0063686370849609375 nb_pixel_total : 258 time to create 1 rle with old method : 0.00030875205993652344 time for calcul the mask position with numpy : 0.006913900375366211 nb_pixel_total : 113 time to create 1 rle with old method : 0.0001628398895263672 time for calcul the mask position with numpy : 0.006162881851196289 nb_pixel_total : 1221 time to create 1 rle with old method : 0.0015864372253417969 time for calcul the mask position with numpy : 0.006231069564819336 nb_pixel_total : 1380 time to create 1 rle with old method : 0.0016796588897705078 time for calcul the mask position with numpy : 0.00621795654296875 nb_pixel_total : 2254 time to create 1 rle with old method : 0.002867460250854492 time for calcul the mask position with numpy : 0.006870269775390625 nb_pixel_total : 113 time to create 1 rle with old method : 0.00017189979553222656 time for calcul the mask position with numpy : 0.0060231685638427734 nb_pixel_total : 519 time to create 1 rle with old method : 0.0006549358367919922 time for calcul the mask position with numpy : 0.006119966506958008 nb_pixel_total : 465 time to create 1 rle with old method : 0.0006053447723388672 time for calcul the mask position with numpy : 0.00626826286315918 nb_pixel_total : 85 time to create 1 rle with old method : 0.00015783309936523438 time for calcul the mask position with numpy : 0.006345987319946289 nb_pixel_total : 269 time to create 1 rle with old method : 0.0003407001495361328 time for calcul the mask position with numpy : 0.006379842758178711 nb_pixel_total : 94 time to create 1 rle with old method : 0.000141143798828125 time for calcul the mask position with numpy : 0.00675511360168457 nb_pixel_total : 133 time to create 1 rle with old method : 0.00018310546875 time for calcul the mask position with numpy : 0.006293535232543945 nb_pixel_total : 1949 time to create 1 rle with old method : 0.002292633056640625 time for calcul the mask position with numpy : 0.006165027618408203 nb_pixel_total : 3809 time to create 1 rle with old method : 0.004370212554931641 time for calcul the mask position with numpy : 0.0061855316162109375 nb_pixel_total : 254 time to create 1 rle with old method : 0.00032210350036621094 time for calcul the mask position with numpy : 0.006254673004150391 nb_pixel_total : 636 time to create 1 rle with old method : 0.0007374286651611328 time for calcul the mask position with numpy : 0.006601095199584961 nb_pixel_total : 976 time to create 1 rle with old method : 0.0012295246124267578 time for calcul the mask position with numpy : 0.006600618362426758 nb_pixel_total : 1285 time to create 1 rle with old method : 0.0015020370483398438 time for calcul the mask position with numpy : 0.006650447845458984 nb_pixel_total : 686 time to create 1 rle with old method : 0.0008251667022705078 time for calcul the mask position with numpy : 0.006505489349365234 nb_pixel_total : 10 time to create 1 rle with old method : 6.4849853515625e-05 time for calcul the mask position with numpy : 0.0061757564544677734 nb_pixel_total : 130 time to create 1 rle with old method : 0.000179290771484375 time for calcul the mask position with numpy : 0.0062596797943115234 nb_pixel_total : 1358 time to create 1 rle with old method : 0.0016112327575683594 time for calcul the mask position with numpy : 0.006535530090332031 nb_pixel_total : 69 time to create 1 rle with old method : 0.00011014938354492188 time for calcul the mask position with numpy : 0.006438255310058594 nb_pixel_total : 99 time to create 1 rle with old method : 0.00015234947204589844 time for calcul the mask position with numpy : 0.006391286849975586 nb_pixel_total : 1703 time to create 1 rle with old method : 0.0020859241485595703 time for calcul the mask position with numpy : 0.006411075592041016 nb_pixel_total : 740 time to create 1 rle with old method : 0.000957489013671875 time for calcul the mask position with numpy : 0.006479740142822266 nb_pixel_total : 89 time to create 1 rle with old method : 0.00012755393981933594 time for calcul the mask position with numpy : 0.00687861442565918 nb_pixel_total : 204 time to create 1 rle with old method : 0.00025081634521484375 time for calcul the mask position with numpy : 0.0068628787994384766 nb_pixel_total : 705 time to create 1 rle with old method : 0.0008349418640136719 time for calcul the mask position with numpy : 0.006587982177734375 nb_pixel_total : 1958 time to create 1 rle with old method : 0.0023140907287597656 time for calcul the mask position with numpy : 0.0064394474029541016 nb_pixel_total : 830 time to create 1 rle with old method : 0.0010137557983398438 time for calcul the mask position with numpy : 0.00670313835144043 nb_pixel_total : 543 time to create 1 rle with old method : 0.0006709098815917969 time for calcul the mask position with numpy : 0.007000923156738281 nb_pixel_total : 85 time to create 1 rle with old method : 0.00013756752014160156 time for calcul the mask position with numpy : 0.006399393081665039 nb_pixel_total : 145 time to create 1 rle with old method : 0.0001938343048095703 time for calcul the mask position with numpy : 0.006484508514404297 nb_pixel_total : 246 time to create 1 rle with old method : 0.00032901763916015625 time for calcul the mask position with numpy : 0.006585597991943359 nb_pixel_total : 90 time to create 1 rle with old method : 0.00016736984252929688 time for calcul the mask position with numpy : 0.005994319915771484 nb_pixel_total : 292 time to create 1 rle with old method : 0.0003447532653808594 time for calcul the mask position with numpy : 0.0063326358795166016 nb_pixel_total : 116 time to create 1 rle with old method : 0.00020051002502441406 time for calcul the mask position with numpy : 0.007076263427734375 nb_pixel_total : 106676 time to create 1 rle with old method : 0.11834263801574707 time for calcul the mask position with numpy : 0.006943464279174805 nb_pixel_total : 689 time to create 1 rle with old method : 0.0008242130279541016 time for calcul the mask position with numpy : 0.006490230560302734 nb_pixel_total : 1078 time to create 1 rle with old method : 0.0012793540954589844 time for calcul the mask position with numpy : 0.006422758102416992 nb_pixel_total : 405 time to create 1 rle with old method : 0.0005011558532714844 time for calcul the mask position with numpy : 0.0061800479888916016 nb_pixel_total : 393 time to create 1 rle with old method : 0.0004782676696777344 time for calcul the mask position with numpy : 0.006483793258666992 nb_pixel_total : 151 time to create 1 rle with old method : 0.0002105236053466797 time for calcul the mask position with numpy : 0.006226778030395508 nb_pixel_total : 130 time to create 1 rle with old method : 0.00018095970153808594 time for calcul the mask position with numpy : 0.006225109100341797 nb_pixel_total : 117 time to create 1 rle with old method : 0.00015664100646972656 time for calcul the mask position with numpy : 0.006108283996582031 nb_pixel_total : 2238 time to create 1 rle with old method : 0.002543210983276367 time for calcul the mask position with numpy : 0.006104707717895508 nb_pixel_total : 390 time to create 1 rle with old method : 0.0005059242248535156 time for calcul the mask position with numpy : 0.006596565246582031 nb_pixel_total : 480 time to create 1 rle with old method : 0.0006020069122314453 time for calcul the mask position with numpy : 0.006201982498168945 nb_pixel_total : 812 time to create 1 rle with old method : 0.0010111331939697266 time for calcul the mask position with numpy : 0.006009340286254883 nb_pixel_total : 1828 time to create 1 rle with old method : 0.0020673274993896484 time for calcul the mask position with numpy : 0.006197452545166016 nb_pixel_total : 158 time to create 1 rle with old method : 0.00021147727966308594 time for calcul the mask position with numpy : 0.006501913070678711 nb_pixel_total : 1397 time to create 1 rle with old method : 0.0016913414001464844 time for calcul the mask position with numpy : 0.0065348148345947266 nb_pixel_total : 3524 time to create 1 rle with old method : 0.004209041595458984 time for calcul the mask position with numpy : 0.006539344787597656 nb_pixel_total : 1238 time to create 1 rle with old method : 0.00145721435546875 time for calcul the mask position with numpy : 0.006790637969970703 nb_pixel_total : 570 time to create 1 rle with old method : 0.0006756782531738281 time for calcul the mask position with numpy : 0.006604671478271484 nb_pixel_total : 1385 time to create 1 rle with old method : 0.0020439624786376953 time for calcul the mask position with numpy : 0.007618427276611328 nb_pixel_total : 2765 time to create 1 rle with old method : 0.004279375076293945 time for calcul the mask position with numpy : 0.00708770751953125 nb_pixel_total : 368 time to create 1 rle with old method : 0.00044655799865722656 time for calcul the mask position with numpy : 0.006619691848754883 nb_pixel_total : 1315 time to create 1 rle with old method : 0.0016238689422607422 time for calcul the mask position with numpy : 0.0064356327056884766 nb_pixel_total : 111 time to create 1 rle with old method : 0.00015664100646972656 time for calcul the mask position with numpy : 0.00614166259765625 nb_pixel_total : 242 time to create 1 rle with old method : 0.0003783702850341797 time for calcul the mask position with numpy : 0.00601649284362793 nb_pixel_total : 1608 time to create 1 rle with old method : 0.002014636993408203 time for calcul the mask position with numpy : 0.006473064422607422 nb_pixel_total : 878 time to create 1 rle with old method : 0.0011224746704101562 time for calcul the mask position with numpy : 0.006046772003173828 nb_pixel_total : 258 time to create 1 rle with old method : 0.00033164024353027344 time for calcul the mask position with numpy : 0.006043195724487305 nb_pixel_total : 260 time to create 1 rle with old method : 0.00033855438232421875 time for calcul the mask position with numpy : 0.006132364273071289 nb_pixel_total : 750 time to create 1 rle with old method : 0.0009591579437255859 time for calcul the mask position with numpy : 0.006086826324462891 nb_pixel_total : 54 time to create 1 rle with old method : 0.00012946128845214844 time for calcul the mask position with numpy : 0.0062749385833740234 nb_pixel_total : 1473 time to create 1 rle with old method : 0.0017497539520263672 time for calcul the mask position with numpy : 0.006268978118896484 nb_pixel_total : 2155 time to create 1 rle with old method : 0.0025959014892578125 time for calcul the mask position with numpy : 0.006239652633666992 nb_pixel_total : 60 time to create 1 rle with old method : 0.0001201629638671875 time for calcul the mask position with numpy : 0.007216215133666992 nb_pixel_total : 16 time to create 1 rle with old method : 4.744529724121094e-05 time for calcul the mask position with numpy : 0.007799386978149414 nb_pixel_total : 1200 time to create 1 rle with old method : 0.0018074512481689453 time for calcul the mask position with numpy : 0.01043391227722168 nb_pixel_total : 1027 time to create 1 rle with old method : 0.0012004375457763672 time for calcul the mask position with numpy : 0.008382797241210938 nb_pixel_total : 349 time to create 1 rle with old method : 0.000415802001953125 time for calcul the mask position with numpy : 0.009221553802490234 nb_pixel_total : 226 time to create 1 rle with old method : 0.00026726722717285156 time for calcul the mask position with numpy : 0.008382558822631836 nb_pixel_total : 358 time to create 1 rle with old method : 0.0004432201385498047 time for calcul the mask position with numpy : 0.008404970169067383 nb_pixel_total : 438 time to create 1 rle with old method : 0.0005350112915039062 time for calcul the mask position with numpy : 0.008425712585449219 nb_pixel_total : 72 time to create 1 rle with old method : 8.749961853027344e-05 time for calcul the mask position with numpy : 0.008335351943969727 nb_pixel_total : 118 time to create 1 rle with old method : 0.00013947486877441406 time for calcul the mask position with numpy : 0.0084228515625 nb_pixel_total : 450 time to create 1 rle with old method : 0.0005295276641845703 time for calcul the mask position with numpy : 0.008349895477294922 nb_pixel_total : 482 time to create 1 rle with old method : 0.0005543231964111328 time for calcul the mask position with numpy : 0.008348703384399414 nb_pixel_total : 693 time to create 1 rle with old method : 0.0007688999176025391 time for calcul the mask position with numpy : 0.008383512496948242 nb_pixel_total : 603 time to create 1 rle with old method : 0.0006914138793945312 time for calcul the mask position with numpy : 0.008376359939575195 nb_pixel_total : 97 time to create 1 rle with old method : 0.00011992454528808594 create new chi : 2.109384298324585 after preparing all the mask , begin to delete the rle from the crop_hashtag_id => VR 28-11-20 : il faut déplacer cela apres le save_crop_hashtag_ids_obj de la ligne 9514 ! we have 0 chi objets contains the rles time to delete rle : 0.0014886856079101562 batch 1 Loaded 119 chid ids of type : 4230 Number RLEs to save : 10902 TO DO : save crop sub photo not yet done ! save time : 0.6572506427764893 nb_obj : 119 nb_hashtags : 7 time to prepare the origin masks : 1.4840927124023438 time for calcul the mask position with numpy : 0.053609609603881836 nb_pixel_total : 1741309 time to create 1 rle with new method : 0.23342180252075195 time for calcul the mask position with numpy : 0.006048440933227539 nb_pixel_total : 5814 time to create 1 rle with old method : 0.006624937057495117 time for calcul the mask position with numpy : 0.006528615951538086 nb_pixel_total : 58042 time to create 1 rle with old method : 0.0633401870727539 time for calcul the mask position with numpy : 0.0058498382568359375 nb_pixel_total : 1668 time to create 1 rle with old method : 0.0019071102142333984 time for calcul the mask position with numpy : 0.005791187286376953 nb_pixel_total : 51 time to create 1 rle with old method : 8.082389831542969e-05 time for calcul the mask position with numpy : 0.005713462829589844 nb_pixel_total : 910 time to create 1 rle with old method : 0.0010442733764648438 time for calcul the mask position with numpy : 0.005791902542114258 nb_pixel_total : 811 time to create 1 rle with old method : 0.0010161399841308594 time for calcul the mask position with numpy : 0.005952119827270508 nb_pixel_total : 186 time to create 1 rle with old method : 0.0003349781036376953 time for calcul the mask position with numpy : 0.005724906921386719 nb_pixel_total : 331 time to create 1 rle with old method : 0.000400543212890625 time for calcul the mask position with numpy : 0.005653858184814453 nb_pixel_total : 380 time to create 1 rle with old method : 0.00046539306640625 time for calcul the mask position with numpy : 0.005985736846923828 nb_pixel_total : 611 time to create 1 rle with old method : 0.0007355213165283203 time for calcul the mask position with numpy : 0.0060272216796875 nb_pixel_total : 221 time to create 1 rle with old method : 0.00025916099548339844 time for calcul the mask position with numpy : 0.006189823150634766 nb_pixel_total : 1016 time to create 1 rle with old method : 0.0011913776397705078 time for calcul the mask position with numpy : 0.006421327590942383 nb_pixel_total : 3322 time to create 1 rle with old method : 0.0037708282470703125 time for calcul the mask position with numpy : 0.005966901779174805 nb_pixel_total : 360 time to create 1 rle with old method : 0.0005300045013427734 time for calcul the mask position with numpy : 0.006163597106933594 nb_pixel_total : 1975 time to create 1 rle with old method : 0.002343893051147461 time for calcul the mask position with numpy : 0.0059053897857666016 nb_pixel_total : 5588 time to create 1 rle with old method : 0.006150722503662109 time for calcul the mask position with numpy : 0.006385087966918945 nb_pixel_total : 5939 time to create 1 rle with old method : 0.006548881530761719 time for calcul the mask position with numpy : 0.005852460861206055 nb_pixel_total : 249 time to create 1 rle with old method : 0.0003345012664794922 time for calcul the mask position with numpy : 0.0057888031005859375 nb_pixel_total : 97 time to create 1 rle with old method : 0.00013446807861328125 time for calcul the mask position with numpy : 0.005728721618652344 nb_pixel_total : 2005 time to create 1 rle with old method : 0.002364635467529297 time for calcul the mask position with numpy : 0.005855560302734375 nb_pixel_total : 407 time to create 1 rle with old method : 0.0005402565002441406 time for calcul the mask position with numpy : 0.00571131706237793 nb_pixel_total : 141 time to create 1 rle with old method : 0.0001862049102783203 time for calcul the mask position with numpy : 0.006238698959350586 nb_pixel_total : 1862 time to create 1 rle with old method : 0.0021774768829345703 time for calcul the mask position with numpy : 0.0057713985443115234 nb_pixel_total : 572 time to create 1 rle with old method : 0.0006890296936035156 time for calcul the mask position with numpy : 0.005663871765136719 nb_pixel_total : 143 time to create 1 rle with old method : 0.0001926422119140625 time for calcul the mask position with numpy : 0.005582094192504883 nb_pixel_total : 1798 time to create 1 rle with old method : 0.0020151138305664062 time for calcul the mask position with numpy : 0.0058515071868896484 nb_pixel_total : 4094 time to create 1 rle with old method : 0.004745960235595703 time for calcul the mask position with numpy : 0.006036520004272461 nb_pixel_total : 809 time to create 1 rle with old method : 0.0009095668792724609 time for calcul the mask position with numpy : 0.0058193206787109375 nb_pixel_total : 290 time to create 1 rle with old method : 0.00031447410583496094 time for calcul the mask position with numpy : 0.005807399749755859 nb_pixel_total : 160 time to create 1 rle with old method : 0.00028204917907714844 time for calcul the mask position with numpy : 0.005846977233886719 nb_pixel_total : 832 time to create 1 rle with old method : 0.0008988380432128906 time for calcul the mask position with numpy : 0.00586390495300293 nb_pixel_total : 100 time to create 1 rle with old method : 0.00012922286987304688 time for calcul the mask position with numpy : 0.0057713985443115234 nb_pixel_total : 4487 time to create 1 rle with old method : 0.004719972610473633 time for calcul the mask position with numpy : 0.005920886993408203 nb_pixel_total : 6947 time to create 1 rle with old method : 0.007719755172729492 time for calcul the mask position with numpy : 0.005830287933349609 nb_pixel_total : 664 time to create 1 rle with old method : 0.000888824462890625 time for calcul the mask position with numpy : 0.006019115447998047 nb_pixel_total : 10399 time to create 1 rle with old method : 0.011630773544311523 time for calcul the mask position with numpy : 0.0057451725006103516 nb_pixel_total : 706 time to create 1 rle with old method : 0.0008027553558349609 time for calcul the mask position with numpy : 0.005792856216430664 nb_pixel_total : 1296 time to create 1 rle with old method : 0.0013480186462402344 time for calcul the mask position with numpy : 0.005629539489746094 nb_pixel_total : 118 time to create 1 rle with old method : 0.00015425682067871094 time for calcul the mask position with numpy : 0.005821943283081055 nb_pixel_total : 539 time to create 1 rle with old method : 0.0005900859832763672 time for calcul the mask position with numpy : 0.0057370662689208984 nb_pixel_total : 232 time to create 1 rle with old method : 0.00028514862060546875 time for calcul the mask position with numpy : 0.005656719207763672 nb_pixel_total : 113 time to create 1 rle with old method : 0.0001418590545654297 time for calcul the mask position with numpy : 0.005758047103881836 nb_pixel_total : 565 time to create 1 rle with old method : 0.0006561279296875 time for calcul the mask position with numpy : 0.006060600280761719 nb_pixel_total : 762 time to create 1 rle with old method : 0.0009167194366455078 time for calcul the mask position with numpy : 0.006024837493896484 nb_pixel_total : 240 time to create 1 rle with old method : 0.0002830028533935547 time for calcul the mask position with numpy : 0.005926609039306641 nb_pixel_total : 519 time to create 1 rle with old method : 0.0006434917449951172 time for calcul the mask position with numpy : 0.005962848663330078 nb_pixel_total : 943 time to create 1 rle with old method : 0.0011315345764160156 time for calcul the mask position with numpy : 0.005747795104980469 nb_pixel_total : 284 time to create 1 rle with old method : 0.0003559589385986328 time for calcul the mask position with numpy : 0.005877256393432617 nb_pixel_total : 601 time to create 1 rle with old method : 0.0006616115570068359 time for calcul the mask position with numpy : 0.005728483200073242 nb_pixel_total : 1061 time to create 1 rle with old method : 0.001257181167602539 time for calcul the mask position with numpy : 0.005944728851318359 nb_pixel_total : 1217 time to create 1 rle with old method : 0.001308441162109375 time for calcul the mask position with numpy : 0.006117820739746094 nb_pixel_total : 129 time to create 1 rle with old method : 0.00016379356384277344 time for calcul the mask position with numpy : 0.005862236022949219 nb_pixel_total : 1497 time to create 1 rle with old method : 0.0017604827880859375 time for calcul the mask position with numpy : 0.0057866573333740234 nb_pixel_total : 384 time to create 1 rle with old method : 0.0005009174346923828 time for calcul the mask position with numpy : 0.005879878997802734 nb_pixel_total : 195 time to create 1 rle with old method : 0.00023102760314941406 time for calcul the mask position with numpy : 0.0056171417236328125 nb_pixel_total : 646 time to create 1 rle with old method : 0.0007388591766357422 time for calcul the mask position with numpy : 0.00559234619140625 nb_pixel_total : 420 time to create 1 rle with old method : 0.00047850608825683594 time for calcul the mask position with numpy : 0.005803108215332031 nb_pixel_total : 1812 time to create 1 rle with old method : 0.002047300338745117 time for calcul the mask position with numpy : 0.005898237228393555 nb_pixel_total : 943 time to create 1 rle with old method : 0.0011377334594726562 time for calcul the mask position with numpy : 0.006028890609741211 nb_pixel_total : 622 time to create 1 rle with old method : 0.0007309913635253906 time for calcul the mask position with numpy : 0.00582575798034668 nb_pixel_total : 447 time to create 1 rle with old method : 0.0005574226379394531 time for calcul the mask position with numpy : 0.006112098693847656 nb_pixel_total : 378 time to create 1 rle with old method : 0.00045371055603027344 time for calcul the mask position with numpy : 0.00564265251159668 nb_pixel_total : 269 time to create 1 rle with old method : 0.00031113624572753906 time for calcul the mask position with numpy : 0.006051540374755859 nb_pixel_total : 258 time to create 1 rle with old method : 0.0002930164337158203 time for calcul the mask position with numpy : 0.005713939666748047 nb_pixel_total : 87 time to create 1 rle with old method : 0.00012087821960449219 time for calcul the mask position with numpy : 0.0056133270263671875 nb_pixel_total : 292 time to create 1 rle with old method : 0.0003190040588378906 time for calcul the mask position with numpy : 0.005727291107177734 nb_pixel_total : 114 time to create 1 rle with old method : 0.00013780593872070312 time for calcul the mask position with numpy : 0.006441593170166016 nb_pixel_total : 106968 time to create 1 rle with old method : 0.11296629905700684 time for calcul the mask position with numpy : 0.006128787994384766 nb_pixel_total : 686 time to create 1 rle with old method : 0.0008211135864257812 time for calcul the mask position with numpy : 0.005907773971557617 nb_pixel_total : 3435 time to create 1 rle with old method : 0.003909587860107422 time for calcul the mask position with numpy : 0.0071010589599609375 nb_pixel_total : 101 time to create 1 rle with old method : 0.00021314620971679688 time for calcul the mask position with numpy : 0.0075685977935791016 nb_pixel_total : 48 time to create 1 rle with old method : 9.655952453613281e-05 time for calcul the mask position with numpy : 0.006335020065307617 nb_pixel_total : 190 time to create 1 rle with old method : 0.00025272369384765625 time for calcul the mask position with numpy : 0.0058269500732421875 nb_pixel_total : 129 time to create 1 rle with old method : 0.00016450881958007812 time for calcul the mask position with numpy : 0.005998134613037109 nb_pixel_total : 108 time to create 1 rle with old method : 0.0001373291015625 time for calcul the mask position with numpy : 0.0067136287689208984 nb_pixel_total : 49996 time to create 1 rle with old method : 0.056250572204589844 time for calcul the mask position with numpy : 0.005841970443725586 nb_pixel_total : 392 time to create 1 rle with old method : 0.0004565715789794922 time for calcul the mask position with numpy : 0.0055849552154541016 nb_pixel_total : 81 time to create 1 rle with old method : 0.00010728836059570312 time for calcul the mask position with numpy : 0.0055730342864990234 nb_pixel_total : 810 time to create 1 rle with old method : 0.0008683204650878906 time for calcul the mask position with numpy : 0.005703449249267578 nb_pixel_total : 1858 time to create 1 rle with old method : 0.002140522003173828 time for calcul the mask position with numpy : 0.005599498748779297 nb_pixel_total : 167 time to create 1 rle with old method : 0.0002613067626953125 time for calcul the mask position with numpy : 0.00566554069519043 nb_pixel_total : 1381 time to create 1 rle with old method : 0.0015156269073486328 time for calcul the mask position with numpy : 0.005873918533325195 nb_pixel_total : 3493 time to create 1 rle with old method : 0.0037729740142822266 time for calcul the mask position with numpy : 0.0058100223541259766 nb_pixel_total : 1102 time to create 1 rle with old method : 0.0013437271118164062 time for calcul the mask position with numpy : 0.0058252811431884766 nb_pixel_total : 582 time to create 1 rle with old method : 0.0006434917449951172 time for calcul the mask position with numpy : 0.005942583084106445 nb_pixel_total : 2145 time to create 1 rle with old method : 0.0022590160369873047 time for calcul the mask position with numpy : 0.005887269973754883 nb_pixel_total : 361 time to create 1 rle with old method : 0.0004382133483886719 time for calcul the mask position with numpy : 0.009545564651489258 nb_pixel_total : 132 time to create 1 rle with old method : 0.0001785755157470703 time for calcul the mask position with numpy : 0.00601506233215332 nb_pixel_total : 1345 time to create 1 rle with old method : 0.001501321792602539 time for calcul the mask position with numpy : 0.0058133602142333984 nb_pixel_total : 220 time to create 1 rle with old method : 0.0002658367156982422 time for calcul the mask position with numpy : 0.005731105804443359 nb_pixel_total : 97 time to create 1 rle with old method : 0.00012254714965820312 time for calcul the mask position with numpy : 0.005839824676513672 nb_pixel_total : 1469 time to create 1 rle with old method : 0.0015292167663574219 time for calcul the mask position with numpy : 0.005813121795654297 nb_pixel_total : 720 time to create 1 rle with old method : 0.0008649826049804688 time for calcul the mask position with numpy : 0.006035804748535156 nb_pixel_total : 1285 time to create 1 rle with old method : 0.001375436782836914 time for calcul the mask position with numpy : 0.0056226253509521484 nb_pixel_total : 772 time to create 1 rle with old method : 0.0008394718170166016 time for calcul the mask position with numpy : 0.005723237991333008 nb_pixel_total : 237 time to create 1 rle with old method : 0.0002930164337158203 time for calcul the mask position with numpy : 0.005702018737792969 nb_pixel_total : 245 time to create 1 rle with old method : 0.0002906322479248047 time for calcul the mask position with numpy : 0.006135225296020508 nb_pixel_total : 2040 time to create 1 rle with old method : 0.0021300315856933594 time for calcul the mask position with numpy : 0.005864143371582031 nb_pixel_total : 23 time to create 1 rle with old method : 6.389617919921875e-05 time for calcul the mask position with numpy : 0.0057408809661865234 nb_pixel_total : 1554 time to create 1 rle with old method : 0.0017943382263183594 time for calcul the mask position with numpy : 0.005778074264526367 nb_pixel_total : 1223 time to create 1 rle with old method : 0.001405954360961914 time for calcul the mask position with numpy : 0.0058634281158447266 nb_pixel_total : 174 time to create 1 rle with old method : 0.00022029876708984375 time for calcul the mask position with numpy : 0.0058591365814208984 nb_pixel_total : 240 time to create 1 rle with old method : 0.00030732154846191406 time for calcul the mask position with numpy : 0.005704641342163086 nb_pixel_total : 1003 time to create 1 rle with old method : 0.00115203857421875 time for calcul the mask position with numpy : 0.007742404937744141 nb_pixel_total : 1037 time to create 1 rle with old method : 0.001737833023071289 time for calcul the mask position with numpy : 0.007562398910522461 nb_pixel_total : 35 time to create 1 rle with old method : 8.225440979003906e-05 time for calcul the mask position with numpy : 0.0065577030181884766 nb_pixel_total : 306 time to create 1 rle with old method : 0.0003490447998046875 time for calcul the mask position with numpy : 0.005719900131225586 nb_pixel_total : 263 time to create 1 rle with old method : 0.00034308433532714844 time for calcul the mask position with numpy : 0.005552768707275391 nb_pixel_total : 275 time to create 1 rle with old method : 0.0003447532653808594 time for calcul the mask position with numpy : 0.005919933319091797 nb_pixel_total : 386 time to create 1 rle with old method : 0.00044655799865722656 time for calcul the mask position with numpy : 0.005656003952026367 nb_pixel_total : 518 time to create 1 rle with old method : 0.0006206035614013672 time for calcul the mask position with numpy : 0.005708932876586914 nb_pixel_total : 68 time to create 1 rle with old method : 9.655952453613281e-05 time for calcul the mask position with numpy : 0.005567073822021484 nb_pixel_total : 107 time to create 1 rle with old method : 0.00014829635620117188 time for calcul the mask position with numpy : 0.005612850189208984 nb_pixel_total : 451 time to create 1 rle with old method : 0.0005488395690917969 time for calcul the mask position with numpy : 0.005671262741088867 nb_pixel_total : 780 time to create 1 rle with old method : 0.0008821487426757812 time for calcul the mask position with numpy : 0.005690813064575195 nb_pixel_total : 42 time to create 1 rle with old method : 9.822845458984375e-05 time for calcul the mask position with numpy : 0.005891561508178711 nb_pixel_total : 101 time to create 1 rle with old method : 0.00014066696166992188 time for calcul the mask position with numpy : 0.006094217300415039 nb_pixel_total : 116 time to create 1 rle with old method : 0.00016117095947265625 time for calcul the mask position with numpy : 0.007975339889526367 nb_pixel_total : 24 time to create 1 rle with old method : 3.147125244140625e-05 create new chi : 1.3767571449279785 after preparing all the mask , begin to delete the rle from the crop_hashtag_id => VR 28-11-20 : il faut déplacer cela apres le save_crop_hashtag_ids_obj de la ligne 9514 ! we have 0 chi objets contains the rles time to delete rle : 0.00171661376953125 batch 1 Loaded 120 chid ids of type : 4230 Number RLEs to save : 12083 TO DO : save crop sub photo not yet done ! save time : 0.869743824005127 nb_obj : 115 nb_hashtags : 7 time to prepare the origin masks : 1.3948206901550293 time for calcul the mask position with numpy : 0.01786041259765625 nb_pixel_total : 1760071 time to create 1 rle with new method : 0.40634751319885254 time for calcul the mask position with numpy : 0.006335020065307617 nb_pixel_total : 1909 time to create 1 rle with old method : 0.002260446548461914 time for calcul the mask position with numpy : 0.006316661834716797 nb_pixel_total : 46 time to create 1 rle with old method : 7.987022399902344e-05 time for calcul the mask position with numpy : 0.0061571598052978516 nb_pixel_total : 310 time to create 1 rle with old method : 0.00038552284240722656 time for calcul the mask position with numpy : 0.006114959716796875 nb_pixel_total : 981 time to create 1 rle with old method : 0.0016753673553466797 time for calcul the mask position with numpy : 0.006844282150268555 nb_pixel_total : 93 time to create 1 rle with old method : 0.00017189979553222656 time for calcul the mask position with numpy : 0.006346702575683594 nb_pixel_total : 62 time to create 1 rle with old method : 0.00014066696166992188 time for calcul the mask position with numpy : 0.006254434585571289 nb_pixel_total : 869 time to create 1 rle with old method : 0.0011265277862548828 time for calcul the mask position with numpy : 0.0061337947845458984 nb_pixel_total : 76 time to create 1 rle with old method : 0.0001227855682373047 time for calcul the mask position with numpy : 0.0063512325286865234 nb_pixel_total : 58656 time to create 1 rle with old method : 0.07000470161437988 time for calcul the mask position with numpy : 0.006327629089355469 nb_pixel_total : 14633 time to create 1 rle with old method : 0.01709151268005371 time for calcul the mask position with numpy : 0.006251811981201172 nb_pixel_total : 952 time to create 1 rle with old method : 0.0011429786682128906 time for calcul the mask position with numpy : 0.0062408447265625 nb_pixel_total : 453 time to create 1 rle with old method : 0.0008475780487060547 time for calcul the mask position with numpy : 0.0064334869384765625 nb_pixel_total : 47 time to create 1 rle with old method : 0.00010657310485839844 time for calcul the mask position with numpy : 0.00649571418762207 nb_pixel_total : 1386 time to create 1 rle with old method : 0.0023126602172851562 time for calcul the mask position with numpy : 0.0064868927001953125 nb_pixel_total : 883 time to create 1 rle with old method : 0.0014529228210449219 time for calcul the mask position with numpy : 0.007007122039794922 nb_pixel_total : 374 time to create 1 rle with old method : 0.0006415843963623047 time for calcul the mask position with numpy : 0.006693601608276367 nb_pixel_total : 2410 time to create 1 rle with old method : 0.0039463043212890625 time for calcul the mask position with numpy : 0.0066988468170166016 nb_pixel_total : 62 time to create 1 rle with old method : 0.0001728534698486328 time for calcul the mask position with numpy : 0.006652116775512695 nb_pixel_total : 3293 time to create 1 rle with old method : 0.005324840545654297 time for calcul the mask position with numpy : 0.006440162658691406 nb_pixel_total : 488 time to create 1 rle with old method : 0.0009336471557617188 time for calcul the mask position with numpy : 0.006490945816040039 nb_pixel_total : 6365 time to create 1 rle with old method : 0.00944375991821289 time for calcul the mask position with numpy : 0.00595545768737793 nb_pixel_total : 2164 time to create 1 rle with old method : 0.0024788379669189453 time for calcul the mask position with numpy : 0.006158113479614258 nb_pixel_total : 540 time to create 1 rle with old method : 0.0006511211395263672 time for calcul the mask position with numpy : 0.0059244632720947266 nb_pixel_total : 268 time to create 1 rle with old method : 0.00031566619873046875 time for calcul the mask position with numpy : 0.006398916244506836 nb_pixel_total : 2480 time to create 1 rle with old method : 0.0028846263885498047 time for calcul the mask position with numpy : 0.0058743953704833984 nb_pixel_total : 3857 time to create 1 rle with old method : 0.004438161849975586 time for calcul the mask position with numpy : 0.005913257598876953 nb_pixel_total : 457 time to create 1 rle with old method : 0.0005717277526855469 time for calcul the mask position with numpy : 0.006092548370361328 nb_pixel_total : 798 time to create 1 rle with old method : 0.0009469985961914062 time for calcul the mask position with numpy : 0.006124258041381836 nb_pixel_total : 726 time to create 1 rle with old method : 0.0008206367492675781 time for calcul the mask position with numpy : 0.006103515625 nb_pixel_total : 5365 time to create 1 rle with old method : 0.0061779022216796875 time for calcul the mask position with numpy : 0.00615382194519043 nb_pixel_total : 830 time to create 1 rle with old method : 0.0009799003601074219 time for calcul the mask position with numpy : 0.0061228275299072266 nb_pixel_total : 98 time to create 1 rle with old method : 0.00019359588623046875 time for calcul the mask position with numpy : 0.0061686038970947266 nb_pixel_total : 5193 time to create 1 rle with old method : 0.005592823028564453 time for calcul the mask position with numpy : 0.006023883819580078 nb_pixel_total : 8966 time to create 1 rle with old method : 0.010195255279541016 time for calcul the mask position with numpy : 0.005848407745361328 nb_pixel_total : 407 time to create 1 rle with old method : 0.0004913806915283203 time for calcul the mask position with numpy : 0.0061872005462646484 nb_pixel_total : 1644 time to create 1 rle with old method : 0.001954317092895508 time for calcul the mask position with numpy : 0.006051301956176758 nb_pixel_total : 673 time to create 1 rle with old method : 0.0010039806365966797 time for calcul the mask position with numpy : 0.007394313812255859 nb_pixel_total : 30 time to create 1 rle with old method : 9.846687316894531e-05 time for calcul the mask position with numpy : 0.00621342658996582 nb_pixel_total : 1379 time to create 1 rle with old method : 0.001608133316040039 time for calcul the mask position with numpy : 0.0075800418853759766 nb_pixel_total : 499 time to create 1 rle with old method : 0.000782012939453125 time for calcul the mask position with numpy : 0.006460905075073242 nb_pixel_total : 243 time to create 1 rle with old method : 0.00029969215393066406 time for calcul the mask position with numpy : 0.005897045135498047 nb_pixel_total : 112 time to create 1 rle with old method : 0.00014638900756835938 time for calcul the mask position with numpy : 0.006091594696044922 nb_pixel_total : 616 time to create 1 rle with old method : 0.0007429122924804688 time for calcul the mask position with numpy : 0.005946636199951172 nb_pixel_total : 4279 time to create 1 rle with old method : 0.0047953128814697266 time for calcul the mask position with numpy : 0.005926609039306641 nb_pixel_total : 244 time to create 1 rle with old method : 0.00027942657470703125 time for calcul the mask position with numpy : 0.0060884952545166016 nb_pixel_total : 569 time to create 1 rle with old method : 0.0006957054138183594 time for calcul the mask position with numpy : 0.006037235260009766 nb_pixel_total : 848 time to create 1 rle with old method : 0.0010111331939697266 time for calcul the mask position with numpy : 0.006086111068725586 nb_pixel_total : 337 time to create 1 rle with old method : 0.00039839744567871094 time for calcul the mask position with numpy : 0.006154060363769531 nb_pixel_total : 1317 time to create 1 rle with old method : 0.0015594959259033203 time for calcul the mask position with numpy : 0.0061185359954833984 nb_pixel_total : 376 time to create 1 rle with old method : 0.0004696846008300781 time for calcul the mask position with numpy : 0.005967140197753906 nb_pixel_total : 574 time to create 1 rle with old method : 0.0006697177886962891 time for calcul the mask position with numpy : 0.006200551986694336 nb_pixel_total : 197 time to create 1 rle with old method : 0.00025272369384765625 time for calcul the mask position with numpy : 0.005982398986816406 nb_pixel_total : 834 time to create 1 rle with old method : 0.0010097026824951172 time for calcul the mask position with numpy : 0.006154060363769531 nb_pixel_total : 274 time to create 1 rle with old method : 0.0003292560577392578 time for calcul the mask position with numpy : 0.0064699649810791016 nb_pixel_total : 441 time to create 1 rle with old method : 0.0005393028259277344 time for calcul the mask position with numpy : 0.006337642669677734 nb_pixel_total : 56 time to create 1 rle with old method : 9.202957153320312e-05 time for calcul the mask position with numpy : 0.0062143802642822266 nb_pixel_total : 992 time to create 1 rle with old method : 0.001176595687866211 time for calcul the mask position with numpy : 0.006081342697143555 nb_pixel_total : 1724 time to create 1 rle with old method : 0.0019638538360595703 time for calcul the mask position with numpy : 0.006094217300415039 nb_pixel_total : 442 time to create 1 rle with old method : 0.0005815029144287109 time for calcul the mask position with numpy : 0.006196022033691406 nb_pixel_total : 783 time to create 1 rle with old method : 0.0010058879852294922 time for calcul the mask position with numpy : 0.006835222244262695 nb_pixel_total : 442 time to create 1 rle with old method : 0.000579833984375 time for calcul the mask position with numpy : 0.006215810775756836 nb_pixel_total : 350 time to create 1 rle with old method : 0.00045013427734375 time for calcul the mask position with numpy : 0.006142139434814453 nb_pixel_total : 465 time to create 1 rle with old method : 0.0005974769592285156 time for calcul the mask position with numpy : 0.006145477294921875 nb_pixel_total : 540 time to create 1 rle with old method : 0.0006759166717529297 time for calcul the mask position with numpy : 0.00673365592956543 nb_pixel_total : 232 time to create 1 rle with old method : 0.0003142356872558594 time for calcul the mask position with numpy : 0.0064465999603271484 nb_pixel_total : 277 time to create 1 rle with old method : 0.0006191730499267578 time for calcul the mask position with numpy : 0.006235361099243164 nb_pixel_total : 117 time to create 1 rle with old method : 0.0002143383026123047 time for calcul the mask position with numpy : 0.006635427474975586 nb_pixel_total : 106465 time to create 1 rle with old method : 0.12292742729187012 time for calcul the mask position with numpy : 0.006186485290527344 nb_pixel_total : 721 time to create 1 rle with old method : 0.0008845329284667969 time for calcul the mask position with numpy : 0.00603175163269043 nb_pixel_total : 261 time to create 1 rle with old method : 0.00034427642822265625 time for calcul the mask position with numpy : 0.005765438079833984 nb_pixel_total : 690 time to create 1 rle with old method : 0.0008535385131835938 time for calcul the mask position with numpy : 0.005732297897338867 nb_pixel_total : 16 time to create 1 rle with old method : 6.604194641113281e-05 time for calcul the mask position with numpy : 0.005813121795654297 nb_pixel_total : 65 time to create 1 rle with old method : 0.00017786026000976562 time for calcul the mask position with numpy : 0.006175518035888672 nb_pixel_total : 3088 time to create 1 rle with old method : 0.0037293434143066406 time for calcul the mask position with numpy : 0.006160736083984375 nb_pixel_total : 161 time to create 1 rle with old method : 0.0002319812774658203 time for calcul the mask position with numpy : 0.0071258544921875 nb_pixel_total : 126 time to create 1 rle with old method : 0.00017833709716796875 time for calcul the mask position with numpy : 0.0058155059814453125 nb_pixel_total : 375 time to create 1 rle with old method : 0.00048804283142089844 time for calcul the mask position with numpy : 0.005955219268798828 nb_pixel_total : 19 time to create 1 rle with old method : 5.7220458984375e-05 time for calcul the mask position with numpy : 0.0058939456939697266 nb_pixel_total : 823 time to create 1 rle with old method : 0.0009980201721191406 time for calcul the mask position with numpy : 0.0060422420501708984 nb_pixel_total : 20362 time to create 1 rle with old method : 0.022243022918701172 time for calcul the mask position with numpy : 0.006034374237060547 nb_pixel_total : 1847 time to create 1 rle with old method : 0.002074003219604492 time for calcul the mask position with numpy : 0.00623774528503418 nb_pixel_total : 178 time to create 1 rle with old method : 0.00023365020751953125 time for calcul the mask position with numpy : 0.0060176849365234375 nb_pixel_total : 8 time to create 1 rle with old method : 3.910064697265625e-05 time for calcul the mask position with numpy : 0.0061457157135009766 nb_pixel_total : 633 time to create 1 rle with old method : 0.0007541179656982422 time for calcul the mask position with numpy : 0.005974292755126953 nb_pixel_total : 1403 time to create 1 rle with old method : 0.001608133316040039 time for calcul the mask position with numpy : 0.00624537467956543 nb_pixel_total : 3484 time to create 1 rle with old method : 0.003970146179199219 time for calcul the mask position with numpy : 0.0059664249420166016 nb_pixel_total : 1148 time to create 1 rle with old method : 0.0013697147369384766 time for calcul the mask position with numpy : 0.0059659481048583984 nb_pixel_total : 622 time to create 1 rle with old method : 0.0007393360137939453 time for calcul the mask position with numpy : 0.006104946136474609 nb_pixel_total : 85 time to create 1 rle with old method : 0.0001227855682373047 time for calcul the mask position with numpy : 0.006037473678588867 nb_pixel_total : 935 time to create 1 rle with old method : 0.0011668205261230469 time for calcul the mask position with numpy : 0.005982160568237305 nb_pixel_total : 2724 time to create 1 rle with old method : 0.0030477046966552734 time for calcul the mask position with numpy : 0.00609898567199707 nb_pixel_total : 428 time to create 1 rle with old method : 0.0005259513854980469 time for calcul the mask position with numpy : 0.0063076019287109375 nb_pixel_total : 113 time to create 1 rle with old method : 0.0001537799835205078 time for calcul the mask position with numpy : 0.009450674057006836 nb_pixel_total : 1358 time to create 1 rle with old method : 0.0016102790832519531 time for calcul the mask position with numpy : 0.010136127471923828 nb_pixel_total : 240 time to create 1 rle with old method : 0.0003046989440917969 time for calcul the mask position with numpy : 0.010361909866333008 nb_pixel_total : 102 time to create 1 rle with old method : 0.00013899803161621094 time for calcul the mask position with numpy : 0.010232925415039062 nb_pixel_total : 1067 time to create 1 rle with old method : 0.0012784004211425781 time for calcul the mask position with numpy : 0.010221481323242188 nb_pixel_total : 761 time to create 1 rle with old method : 0.0009486675262451172 time for calcul the mask position with numpy : 0.010225057601928711 nb_pixel_total : 242 time to create 1 rle with old method : 0.0003190040588378906 time for calcul the mask position with numpy : 0.010392189025878906 nb_pixel_total : 37 time to create 1 rle with old method : 9.918212890625e-05 time for calcul the mask position with numpy : 0.010333776473999023 nb_pixel_total : 4866 time to create 1 rle with old method : 0.005655050277709961 time for calcul the mask position with numpy : 0.010262489318847656 nb_pixel_total : 2256 time to create 1 rle with old method : 0.0026149749755859375 time for calcul the mask position with numpy : 0.010027170181274414 nb_pixel_total : 1530 time to create 1 rle with old method : 0.0017991065979003906 time for calcul the mask position with numpy : 0.009850025177001953 nb_pixel_total : 475 time to create 1 rle with old method : 0.0005602836608886719 time for calcul the mask position with numpy : 0.009998559951782227 nb_pixel_total : 1288 time to create 1 rle with old method : 0.0014901161193847656 time for calcul the mask position with numpy : 0.009751319885253906 nb_pixel_total : 292 time to create 1 rle with old method : 0.00035119056701660156 time for calcul the mask position with numpy : 0.010058879852294922 nb_pixel_total : 48 time to create 1 rle with old method : 0.000125885009765625 time for calcul the mask position with numpy : 0.00988149642944336 nb_pixel_total : 1261 time to create 1 rle with old method : 0.001485586166381836 time for calcul the mask position with numpy : 0.0075724124908447266 nb_pixel_total : 349 time to create 1 rle with old method : 0.0004265308380126953 time for calcul the mask position with numpy : 0.0060596466064453125 nb_pixel_total : 732 time to create 1 rle with old method : 0.0008375644683837891 time for calcul the mask position with numpy : 0.006581306457519531 nb_pixel_total : 74 time to create 1 rle with old method : 9.608268737792969e-05 time for calcul the mask position with numpy : 0.006184101104736328 nb_pixel_total : 439 time to create 1 rle with old method : 0.0005106925964355469 time for calcul the mask position with numpy : 0.0061266422271728516 nb_pixel_total : 23 time to create 1 rle with old method : 6.937980651855469e-05 time for calcul the mask position with numpy : 0.00608372688293457 nb_pixel_total : 791 time to create 1 rle with old method : 0.0008924007415771484 time for calcul the mask position with numpy : 0.006163597106933594 nb_pixel_total : 115 time to create 1 rle with old method : 0.00015974044799804688 create new chi : 1.5768451690673828 after preparing all the mask , begin to delete the rle from the crop_hashtag_id => VR 28-11-20 : il faut déplacer cela apres le save_crop_hashtag_ids_obj de la ligne 9514 ! we have 0 chi objets contains the rles time to delete rle : 0.001744985580444336 batch 1 Loaded 116 chid ids of type : 4230 Number RLEs to save : 12883 TO DO : save crop sub photo not yet done ! save time : 0.7733211517333984 map_output_result : {1332349739: (0.0, 'Should be the crop_list due to order', 0.0), 1332349696: (0.0, 'Should be the crop_list due to order', 0.0), 1332349510: (0.0, 'Should be the crop_list due to order', 0.0), 1332349394: (0.0, 'Should be the crop_list due to order', 0.0)} 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 [1332349739, 1332349696, 1332349510, 1332349394] Looping around the photos to save general results len do output : 4 /1332349739.Didn't retrieve data . /1332349696.Didn't retrieve data . /1332349510.Didn't retrieve data . /1332349394.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 ('4234', None, None, None, None, None, None, None, '2523642') ('4234', None, '1332349739', None, None, None, None, None, '2523642') ('4234', None, None, None, None, None, None, None, '2523642') ('4234', None, '1332349696', None, None, None, None, None, '2523642') ('4234', None, None, None, None, None, None, None, '2523642') ('4234', None, '1332349510', None, None, None, None, None, '2523642') ('4234', None, None, None, None, None, None, None, '2523642') ('4234', None, '1332349394', None, None, None, None, None, '2523642') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 12 time used for this insertion : 0.012126922607421875 save_final save missing photos in datou_result : time spend for datou_step_exec : 16.21422553062439 time spend to save output : 0.012450456619262695 total time spend for step 4 : 16.226675987243652 step5:crop_condition Wed Feb 12 10:19:12 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 some photos are not treated, begin crop_condition Loading chi in step crop with photo_hashtag_type : 4230 Loading chi in step crop for list_pids : 4 ! batch 1 Loaded 462 chid ids of type : 4230 begin to crop the class : papier param for this class : {'min_score': 0.6} filtre for class : papier hashtag_id of this class : 492668766 Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! map_result returned by crop_photo_return_map_crop : length : 160 About to insert : list_path_to_insert length 160 new photo from crops ! About to upload 160 photos upload in portfolio : 4869462 init cache_photo without model_param we have 160 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1739351954_2826529 we have uploaded 160 photos in the portfolio 4869462 time of upload the photos Elapsed time : 35.45182394981384 we have finished the crop for the class : papier begin to crop the class : carton param for this class : {'min_score': 0.6} filtre for class : carton hashtag_id of this class : 492774966 Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! map_result returned by crop_photo_return_map_crop : length : 72 About to insert : list_path_to_insert length 72 new photo from crops ! About to upload 72 photos upload in portfolio : 4869462 init cache_photo without model_param we have 72 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1739351991_2826529 we have uploaded 72 photos in the portfolio 4869462 time of upload the photos Elapsed time : 15.691933155059814 we have finished the crop for the class : carton begin to crop the class : metal param for this class : {'min_score': 0.6} filtre for class : metal hashtag_id of this class : 492628673 Next one ! map_result returned by crop_photo_return_map_crop : length : 1 About to insert : list_path_to_insert length 1 new photo from crops ! About to upload 1 photos upload in portfolio : 4869462 init cache_photo without model_param we have 1 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1739352007_2826529 we have uploaded 1 photos in the portfolio 4869462 time of upload the photos Elapsed time : 0.6809813976287842 we have finished the crop for the class : metal begin to crop the class : pet_clair param for this class : {'min_score': 0.6} filtre for class : pet_clair hashtag_id of this class : 2107755846 Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! map_result returned by crop_photo_return_map_crop : length : 26 About to insert : list_path_to_insert length 26 new photo from crops ! About to upload 26 photos upload in portfolio : 4869462 init cache_photo without model_param we have 26 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1739352008_2826529 we have uploaded 26 photos in the portfolio 4869462 time of upload the photos Elapsed time : 6.997800350189209 we have finished the crop for the class : pet_clair begin to crop the class : autre param for this class : {'min_score': 0.6} filtre for class : autre hashtag_id of this class : 494826614 Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! map_result returned by crop_photo_return_map_crop : length : 57 About to insert : list_path_to_insert length 57 new photo from crops ! About to upload 57 photos upload in portfolio : 4869462 init cache_photo without model_param we have 57 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1739352017_2826529 we have uploaded 57 photos in the portfolio 4869462 time of upload the photos Elapsed time : 12.795813083648682 we have finished the crop for the class : autre begin to crop the class : pehd param for this class : {'min_score': 0.6} filtre for class : pehd hashtag_id of this class : 628944319 begin to crop the class : pet_fonce param for this class : {'min_score': 0.6} filtre for class : pet_fonce hashtag_id of this class : 2107755900 Next one ! map_result returned by crop_photo_return_map_crop : length : 1 About to insert : list_path_to_insert length 1 new photo from crops ! About to upload 1 photos upload in portfolio : 4869462 init cache_photo without model_param we have 1 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1739352030_2826529 we have uploaded 1 photos in the portfolio 4869462 time of upload the photos Elapsed time : 0.5216679573059082 we have finished the crop for the class : pet_fonce delete rles for these photos Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : crop_condition we use saveGeneral [1332349739, 1332349696, 1332349510, 1332349394] Looping around the photos to save general results len do output : 317 /1337058670Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058671Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058673Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058674Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058675Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058676Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058677Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058678Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058680Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058681Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058682Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058683Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058684Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058685Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058686Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058687Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058688Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058689Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058690Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058691Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058692Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058693Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058694Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058695Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058696Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058697Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058698Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058699Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058700Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058701Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058702Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058703Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058704Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058705Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058706Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058707Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058708Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058709Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058710Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058711Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058712Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058713Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058714Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058715Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058716Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058717Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058718Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058720Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058721Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058722Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058723Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058724Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058725Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058726Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058727Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058728Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058729Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058730Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058731Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058732Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058733Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058734Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058735Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058736Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058737Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058738Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058739Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058740Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058741Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058742Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058743Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058744Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058745Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058746Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058747Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058749Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058750Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058751Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058752Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058753Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058754Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058755Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058756Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058757Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058758Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058759Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058760Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058761Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058762Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058763Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058764Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058765Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058766Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058767Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058768Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058769Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058770Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058771Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058772Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058773Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058774Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058775Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058776Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058777Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058778Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058779Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058780Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058782Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058783Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058784Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058785Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058786Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058787Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058788Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058789Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058790Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058791Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058792Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058793Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058794Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058795Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058796Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058797Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058798Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058799Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058800Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058801Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058802Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058803Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058804Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058805Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058806Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058807Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058808Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058809Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058811Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058812Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058813Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058814Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058815Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058816Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058817Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058818Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058819Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058820Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058821Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058822Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058823Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058824Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058825Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058826Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058827Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058828Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058829Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058830Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058831Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058832Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058833Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058834Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058835Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058841Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058842Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058843Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058844Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058845Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058846Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058847Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058848Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058849Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058850Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058851Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058852Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058853Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058854Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058855Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058856Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058857Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058858Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058859Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058860Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058861Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058862Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058863Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337058864Didn't retrieve data .Didn't retrieve data .Didn't 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retrieve data . /1337059011Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337059012Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337059013Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337059015Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1337059017Didn'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 ('4234', None, None, None, None, None, None, None, '2523642') ('4234', None, '1332349739', None, None, None, None, None, '2523642') ('4234', None, None, None, None, None, None, None, '2523642') ('4234', None, '1332349696', None, None, None, None, None, '2523642') ('4234', None, None, None, None, None, None, None, '2523642') ('4234', None, '1332349510', None, None, None, None, None, '2523642') ('4234', None, None, None, None, None, None, None, '2523642') ('4234', None, '1332349394', None, None, None, None, None, '2523642') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 955 time used for this insertion : 0.8882203102111816 save_final save missing photos in datou_result : time spend for datou_step_exec : 79.20324492454529 time spend to save output : 0.8995053768157959 total time spend for step 5 : 80.10275030136108 step6:thcl Wed Feb 12 10:20:32 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 Beginning of datou step Thcl ! we are using the classfication for only one thcl 3237 time to import caffe and check if the image exist : 0.01963019371032715 time to convert the images to numpy array : 0.08234190940856934 time to import caffe and check if the image exist : 0.011171102523803711 time to convert the images to numpy array : 0.09567546844482422 time to import caffe and check if the image exist : 0.055268287658691406 time to convert the images to numpy array : 0.06192374229431152 time to import caffe and check if the image exist : 0.0470423698425293 time to convert the images to numpy array : 0.07280564308166504 time to import caffe and check if the image exist : 0.03814816474914551 time to convert the images to numpy array : 0.089202880859375 time to import caffe and check if the image exist : 0.00749969482421875 time to convert the images to numpy array : 0.1217963695526123 time to import caffe and check if the image exist : 0.07729506492614746 time to convert the images to numpy array : 0.05771231651306152 time to import caffe and check if the image exist : 0.02808380126953125 time to convert the images to numpy array : 0.10841178894042969 time to import caffe and check if the image exist : 0.042304277420043945 time to convert the images to numpy array : 0.09562444686889648 time to import caffe and check if the image exist : 0.11027765274047852 time to convert the images to numpy array : 0.03526115417480469 total time to convert the images to numpy array : 0.3937673568725586 list photo_ids error: [] list photo_ids correct : [1337058704, 1337058705, 1337058706, 1337058707, 1337058708, 1337058709, 1337058710, 1337058711, 1337058712, 1337058713, 1337058714, 1337058715, 1337058716, 1337058717, 1337058718, 1337058720, 1337058721, 1337058722, 1337058723, 1337058724, 1337058725, 1337058726, 1337058727, 1337058728, 1337058729, 1337058730, 1337058731, 1337058732, 1337058733, 1337058734, 1337058735, 1337058736, 1337058737, 1337058738, 1337058739, 1337058740, 1337058741, 1337058742, 1337058743, 1337058744, 1337058745, 1337058746, 1337058747, 1337058749, 1337058750, 1337058751, 1337058752, 1337058753, 1337058754, 1337058755, 1337058756, 1337058757, 1337058758, 1337058759, 1337058760, 1337058761, 1337058762, 1337058763, 1337058764, 1337058765, 1337058766, 1337058767, 1337058768, 1337058769, 1337058942, 1337058943, 1337058944, 1337058955, 1337058956, 1337058957, 1337058958, 1337058959, 1337058960, 1337058961, 1337058962, 1337058963, 1337058964, 1337058965, 1337058966, 1337058967, 1337058968, 1337058970, 1337058971, 1337058972, 1337058973, 1337058974, 1337058975, 1337058976, 1337058977, 1337058978, 1337058979, 1337058980, 1337058981, 1337058982, 1337058983, 1337058985, 1337058770, 1337058771, 1337058772, 1337058773, 1337058774, 1337058775, 1337058776, 1337058777, 1337058778, 1337058779, 1337058780, 1337058782, 1337058783, 1337058784, 1337058785, 1337058786, 1337058787, 1337058788, 1337058789, 1337058790, 1337058791, 1337058792, 1337058793, 1337058794, 1337058795, 1337058796, 1337058797, 1337058798, 1337058799, 1337058800, 1337058801, 1337058802, 1337058841, 1337058842, 1337058843, 1337058844, 1337058845, 1337058846, 1337058847, 1337058848, 1337058849, 1337058850, 1337058851, 1337058852, 1337058853, 1337058854, 1337058855, 1337058856, 1337058857, 1337058858, 1337058859, 1337058860, 1337058861, 1337058862, 1337058863, 1337058864, 1337058865, 1337058866, 1337058867, 1337058868, 1337058869, 1337058870, 1337058871, 1337058872, 1337058905, 1337058906, 1337058907, 1337058908, 1337058909, 1337058910, 1337058911, 1337058912, 1337058913, 1337058919, 1337058920, 1337058921, 1337058922, 1337058923, 1337058924, 1337058925, 1337058926, 1337058927, 1337058928, 1337058929, 1337058930, 1337058931, 1337058932, 1337058933, 1337058934, 1337058935, 1337058936, 1337058937, 1337058938, 1337058939, 1337058940, 1337058941, 1337058986, 1337058987, 1337058988, 1337058989, 1337058990, 1337058991, 1337058992, 1337058993, 1337058994, 1337058995, 1337058996, 1337058998, 1337058999, 1337059000, 1337059001, 1337059002, 1337059003, 1337059004, 1337059005, 1337059006, 1337059007, 1337059008, 1337059009, 1337059010, 1337059011, 1337059012, 1337059013, 1337059015, 1337059017, 1337058873, 1337058874, 1337058875, 1337058876, 1337058877, 1337058878, 1337058879, 1337058880, 1337058881, 1337058882, 1337058883, 1337058884, 1337058885, 1337058886, 1337058887, 1337058888, 1337058889, 1337058890, 1337058891, 1337058892, 1337058893, 1337058894, 1337058895, 1337058896, 1337058897, 1337058898, 1337058899, 1337058900, 1337058901, 1337058902, 1337058903, 1337058904, 1337058803, 1337058804, 1337058805, 1337058806, 1337058807, 1337058808, 1337058809, 1337058811, 1337058812, 1337058813, 1337058814, 1337058815, 1337058816, 1337058817, 1337058818, 1337058819, 1337058820, 1337058821, 1337058822, 1337058823, 1337058824, 1337058825, 1337058826, 1337058827, 1337058828, 1337058829, 1337058830, 1337058831, 1337058832, 1337058833, 1337058834, 1337058835, 1337058670, 1337058671, 1337058673, 1337058674, 1337058675, 1337058676, 1337058677, 1337058678, 1337058680, 1337058681, 1337058682, 1337058683, 1337058684, 1337058685, 1337058686, 1337058687, 1337058688, 1337058689, 1337058690, 1337058691, 1337058692, 1337058693, 1337058694, 1337058695, 1337058696, 1337058697, 1337058698, 1337058699, 1337058700, 1337058701, 1337058702, 1337058703] number of photos to traite : 317 try to delete the photos incorrect in DB tagging for thcl : 3237 To do loadFromThcl(), then load ParamDescType : thcl3237 thcls : [{'id': 3237, 'mtr_user_id': 31, 'name': 'learn_rubbia_refus_2500', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Carton,Film_plastique,PEHD,PET_clair,PET_fonce,Papier,Tetrapak,flou,mal_croppe,metal,refus', 'svm_portfolios_learning': '4865689,4865690,4865686,4865684,4865685,4865688,4865691,4865693,4865692,4865687,4865683', 'photo_hashtag_type': 4158, 'photo_desc_type': 5561, 'type_classification': 'caffe', 'hashtag_id_list': '492774966,2107756122,628944319,2107755846,2107755900,492668766,609991870,492777938,2107755527,492628673,538914404'}] thcl {'id': 3237, 'mtr_user_id': 31, 'name': 'learn_rubbia_refus_2500', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Carton,Film_plastique,PEHD,PET_clair,PET_fonce,Papier,Tetrapak,flou,mal_croppe,metal,refus', 'svm_portfolios_learning': '4865689,4865690,4865686,4865684,4865685,4865688,4865691,4865693,4865692,4865687,4865683', 'photo_hashtag_type': 4158, 'photo_desc_type': 5561, 'type_classification': 'caffe', 'hashtag_id_list': '492774966,2107756122,628944319,2107755846,2107755900,492668766,609991870,492777938,2107755527,492628673,538914404'} Update svm_hashtag_type_desc : 5561 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5561, 'learn_rubbia_refus_2500', 2048, 2048, 'learn_rubbia_refus_2500', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2021, 12, 2, 19, 10, 8), datetime.datetime(2021, 12, 2, 19, 10, 8)) To loadFromThcl() : net_5561 begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 10553 max_wait_temp : 1 max_wait : 0 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5561, 'learn_rubbia_refus_2500', 2048, 2048, 'learn_rubbia_refus_2500', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2021, 12, 2, 19, 10, 8), datetime.datetime(2021, 12, 2, 19, 10, 8)) None mean_file_type : mean_file_path : prototxt_file_path : model : learn_rubbia_refus_2500 Inside get_net Inside get_net before cache_data_model model_param file didn't exist Inside get_net before CDM.load_model_par_type model_name : learn_rubbia_refus_2500 model_type : caffe list file need : ['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file exist in s3 : ['caffemodel', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file manque in s3 : ['deploy_conv_normal.prototxt', 'deploy_fc.prototxt'] local folder : /data/models_weight/learn_rubbia_refus_2500 /data/models_weight/learn_rubbia_refus_2500/caffemodel size_local : 94358479 size in s3 : 94358479 create time local : 2021-12-03 18:29:39 create time in s3 : 2021-12-02 17:49:16 caffemodel already exist and didn't need to update /data/models_weight/learn_rubbia_refus_2500/deploy.prototxt size_local : 32544 size in s3 : 32544 create time local : 2021-12-03 18:29:39 create time in s3 : 2021-12-02 17:49:15 deploy.prototxt already exist and didn't need to update /data/models_weight/learn_rubbia_refus_2500/mean.npy size_local : 1572992 size in s3 : 1572992 create time local : 2021-12-03 18:29:40 create time in s3 : 2021-12-02 18:09:52 mean.npy already exist and didn't need to update /data/models_weight/learn_rubbia_refus_2500/synset_words.txt size_local : 334 size in s3 : 334 create time local : 2021-12-03 18:29:40 create time in s3 : 2021-12-02 18:10:06 synset_words.txt already exist and didn't need to update Inside get_net after CDM.load_model_par_type After if not only_with_local_cache: /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/:/home/admin/workarea/git/apy/ Here before set mode gpu Doing nothing but we could set mode gpu after set mode gpu prototxt_filename : /data/models_weight/learn_rubbia_refus_2500/deploy.prototxt caffemodel_filename : /data/models_weight/learn_rubbia_refus_2500/caffemodel now we set caffe to gpu mode before predict begin to check gpu status inside check gpu memory WARNING: Logging before InitGoogleLogging() is written to STDERR F0212 10:20:39.703408 2826529 math_functions.cu:26] Check failed: status == CUBLAS_STATUS_SUCCESS (14 vs. 0) CUBLAS_STATUS_INTERNAL_ERROR *** Check failure stack trace: *** Command terminated by signal 6 51.70user 33.33system 2:27.54elapsed 57%CPU (0avgtext+0avgdata 2485120maxresident)k 704232inputs+12856outputs (211major+2741446minor)pagefaults 0swaps