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 3804806' -s carac_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 : 2110485 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 : ['3804806'] with mtr_portfolio_ids : ['27393937'] and first list_photo_ids : [] new path : /proc/2110485/ 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 , BFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 3 ; length of list_pids : 3 ; length of list_args : 3 time to download the photos : 0.5966949462890625 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 Oct 1 09:24:35 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Beginning of datou step mask_detect ! save_polygon : True begin detect begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 10583 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-10-01 09:24:38.681741: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-10-01 09:24:38.708483: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3492910000 Hz 2025-10-01 09:24:38.710325: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f1d88000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-10-01 09:24:38.710377: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-10-01 09:24:38.713428: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-10-01 09:24:38.864671: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x8564290 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-10-01 09:24:38.864732: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-10-01 09:24:38.866124: 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 2025-10-01 09:24:38.866545: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-10-01 09:24:38.869837: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-10-01 09:24:38.872916: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-10-01 09:24:38.873424: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-10-01 09:24:38.875865: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-10-01 09:24:38.876972: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-10-01 09:24:38.881653: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-10-01 09:24:38.883095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-10-01 09:24:38.883171: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-10-01 09:24:38.883921: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-10-01 09:24:38.883937: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-10-01 09:24:38.883946: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-10-01 09:24:38.885346: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9802 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. 2025-10-01 09:24:39.281196: 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 2025-10-01 09:24:39.281285: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-10-01 09:24:39.281307: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-10-01 09:24:39.281326: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-10-01 09:24:39.281358: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-10-01 09:24:39.281377: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-10-01 09:24:39.281394: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-10-01 09:24:39.281413: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-10-01 09:24:39.282972: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-10-01 09:24:39.284260: 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 2025-10-01 09:24:39.284294: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-10-01 09:24:39.284313: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-10-01 09:24:39.284332: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-10-01 09:24:39.284372: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-10-01 09:24:39.284400: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-10-01 09:24:39.284423: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-10-01 09:24:39.284443: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-10-01 09:24:39.285992: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-10-01 09:24:39.286023: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-10-01 09:24:39.286033: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-10-01 09:24:39.286042: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-10-01 09:24:39.287653: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9802 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 : [] 2025-10-01 09:24:46.624413: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-10-01 09:24:46.817732: 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 : 3 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: -118.03594 max: 149.08437 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 6 time for calcul the mask position with numpy : 7.987022399902344e-05 nb_pixel_total : 50 time to create 1 rle with old method : 0.00024700164794921875 length of segment : 23 time for calcul the mask position with numpy : 5.698204040527344e-05 nb_pixel_total : 67 time to create 1 rle with old method : 0.0003466606140136719 length of segment : 29 time for calcul the mask position with numpy : 6.747245788574219e-05 nb_pixel_total : 418 time to create 1 rle with old method : 0.0009062290191650391 length of segment : 37 time for calcul the mask position with numpy : 0.012134552001953125 nb_pixel_total : 1835 time to create 1 rle with old method : 0.0037364959716796875 length of segment : 48 time for calcul the mask position with numpy : 0.00010561943054199219 nb_pixel_total : 592 time to create 1 rle with old method : 0.0014252662658691406 length of segment : 38 time for calcul the mask position with numpy : 6.198883056640625e-05 nb_pixel_total : 378 time to create 1 rle with old method : 0.0006244182586669922 length of segment : 32 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -117.78984 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 12 time for calcul the mask position with numpy : 6.556510925292969e-05 nb_pixel_total : 1891 time to create 1 rle with old method : 0.002401113510131836 length of segment : 36 time for calcul the mask position with numpy : 4.982948303222656e-05 nb_pixel_total : 1459 time to create 1 rle with old method : 0.0018527507781982422 length of segment : 43 time for calcul the mask position with numpy : 4.291534423828125e-05 nb_pixel_total : 681 time to create 1 rle with old method : 0.0009605884552001953 length of segment : 58 time for calcul the mask position with numpy : 4.267692565917969e-05 nb_pixel_total : 629 time to create 1 rle with old method : 0.0008792877197265625 length of segment : 84 time for calcul the mask position with numpy : 9.465217590332031e-05 nb_pixel_total : 4089 time to create 1 rle with old method : 0.004904985427856445 length of segment : 59 time for calcul the mask position with numpy : 4.482269287109375e-05 nb_pixel_total : 876 time to create 1 rle with old method : 0.001102447509765625 length of segment : 61 time for calcul the mask position with numpy : 6.818771362304688e-05 nb_pixel_total : 3419 time to create 1 rle with old method : 0.004188060760498047 length of segment : 51 time for calcul the mask position with numpy : 4.482269287109375e-05 nb_pixel_total : 768 time to create 1 rle with old method : 0.0010461807250976562 length of segment : 63 time for calcul the mask position with numpy : 4.744529724121094e-05 nb_pixel_total : 805 time to create 1 rle with old method : 0.0010137557983398438 length of segment : 40 time for calcul the mask position with numpy : 4.1484832763671875e-05 nb_pixel_total : 681 time to create 1 rle with old method : 0.0009167194366455078 length of segment : 42 time for calcul the mask position with numpy : 5.173683166503906e-05 nb_pixel_total : 1380 time to create 1 rle with old method : 0.0017638206481933594 length of segment : 41 time for calcul the mask position with numpy : 7.2479248046875e-05 nb_pixel_total : 3555 time to create 1 rle with old method : 0.004231929779052734 length of segment : 52 Processing 1 images image shape: (400, 400, 3) min: 12.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -82.94219 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 : 5.888938903808594e-05 nb_pixel_total : 1775 time to create 1 rle with old method : 0.002214670181274414 length of segment : 44 time for calcul the mask position with numpy : 0.0001347064971923828 nb_pixel_total : 7071 time to create 1 rle with old method : 0.008514642715454102 length of segment : 106 time for calcul the mask position with numpy : 0.00010466575622558594 nb_pixel_total : 2568 time to create 1 rle with old method : 0.004694461822509766 length of segment : 115 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -113.69219 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 : 8.463859558105469e-05 nb_pixel_total : 2769 time to create 1 rle with old method : 0.003998279571533203 length of segment : 47 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: 138.20000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 3 time for calcul the mask position with numpy : 5.340576171875e-05 nb_pixel_total : 341 time to create 1 rle with old method : 0.0005583763122558594 length of segment : 26 time for calcul the mask position with numpy : 0.00011658668518066406 nb_pixel_total : 1219 time to create 1 rle with old method : 0.001842498779296875 length of segment : 108 time for calcul the mask position with numpy : 5.841255187988281e-05 nb_pixel_total : 312 time to create 1 rle with old method : 0.00046324729919433594 length of segment : 45 Processing 1 images image shape: (400, 400, 3) min: 2.00000 max: 193.00000 molded_images shape: (1, 640, 640, 3) min: -90.99375 max: 58.79375 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: 253.00000 molded_images shape: (1, 640, 640, 3) min: -114.01641 max: 124.76250 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 6 time for calcul the mask position with numpy : 7.319450378417969e-05 nb_pixel_total : 3128 time to create 1 rle with old method : 0.003880739212036133 length of segment : 57 time for calcul the mask position with numpy : 9.512901306152344e-05 nb_pixel_total : 4247 time to create 1 rle with old method : 0.005202054977416992 length of segment : 92 time for calcul the mask position with numpy : 3.910064697265625e-05 nb_pixel_total : 397 time to create 1 rle with old method : 0.0005767345428466797 length of segment : 21 time for calcul the mask position with numpy : 3.838539123535156e-05 nb_pixel_total : 506 time to create 1 rle with old method : 0.00070953369140625 length of segment : 22 time for calcul the mask position with numpy : 3.314018249511719e-05 nb_pixel_total : 222 time to create 1 rle with old method : 0.0003070831298828125 length of segment : 27 time for calcul the mask position with numpy : 3.170967102050781e-05 nb_pixel_total : 168 time to create 1 rle with old method : 0.00025916099548339844 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: -106.77422 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 25 time for calcul the mask position with numpy : 6.151199340820312e-05 nb_pixel_total : 200 time to create 1 rle with old method : 0.0002777576446533203 length of segment : 33 time for calcul the mask position with numpy : 4.458427429199219e-05 nb_pixel_total : 624 time to create 1 rle with old method : 0.0009069442749023438 length of segment : 23 time for calcul the mask position with numpy : 4.887580871582031e-05 nb_pixel_total : 690 time to create 1 rle with old method : 0.0010156631469726562 length of segment : 34 time for calcul the mask position with numpy : 3.933906555175781e-05 nb_pixel_total : 450 time to create 1 rle with old method : 0.0006284713745117188 length of segment : 34 time for calcul the mask position with numpy : 3.4332275390625e-05 nb_pixel_total : 327 time to create 1 rle with old method : 0.00048232078552246094 length of segment : 15 time for calcul the mask position with numpy : 3.838539123535156e-05 nb_pixel_total : 615 time to create 1 rle with old method : 0.00083160400390625 length of segment : 22 time for calcul the mask position with numpy : 4.1961669921875e-05 nb_pixel_total : 707 time to create 1 rle with old method : 0.0008938312530517578 length of segment : 36 time for calcul the mask position with numpy : 3.790855407714844e-05 nb_pixel_total : 360 time to create 1 rle with old method : 0.0005309581756591797 length of segment : 25 time for calcul the mask position with numpy : 4.744529724121094e-05 nb_pixel_total : 1101 time to create 1 rle with old method : 0.0013813972473144531 length of segment : 39 time for calcul the mask position with numpy : 3.361701965332031e-05 nb_pixel_total : 273 time to create 1 rle with old method : 0.000431060791015625 length of segment : 13 time for calcul the mask position with numpy : 4.4345855712890625e-05 nb_pixel_total : 723 time to create 1 rle with old method : 0.0009183883666992188 length of segment : 49 time for calcul the mask position with numpy : 4.315376281738281e-05 nb_pixel_total : 672 time to create 1 rle with old method : 0.0008890628814697266 length of segment : 26 time for calcul the mask position with numpy : 4.1961669921875e-05 nb_pixel_total : 457 time to create 1 rle with old method : 0.0006568431854248047 length of segment : 36 time for calcul the mask position with numpy : 3.218650817871094e-05 nb_pixel_total : 179 time to create 1 rle with old method : 0.00025916099548339844 length of segment : 18 time for calcul the mask position with numpy : 3.123283386230469e-05 nb_pixel_total : 161 time to create 1 rle with old method : 0.0002586841583251953 length of segment : 13 time for calcul the mask position with numpy : 4.57763671875e-05 nb_pixel_total : 946 time to create 1 rle with old method : 0.00118255615234375 length of segment : 36 time for calcul the mask position with numpy : 4.1484832763671875e-05 nb_pixel_total : 587 time to create 1 rle with old method : 0.0008118152618408203 length of segment : 36 time for calcul the mask position with numpy : 4.7206878662109375e-05 nb_pixel_total : 1056 time to create 1 rle with old method : 0.001394510269165039 length of segment : 36 time for calcul the mask position with numpy : 5.7220458984375e-05 nb_pixel_total : 1262 time to create 1 rle with old method : 0.0016317367553710938 length of segment : 40 time for calcul the mask position with numpy : 3.266334533691406e-05 nb_pixel_total : 201 time to create 1 rle with old method : 0.00030803680419921875 length of segment : 17 time for calcul the mask position with numpy : 3.218650817871094e-05 nb_pixel_total : 150 time to create 1 rle with old method : 0.00021457672119140625 length of segment : 17 time for calcul the mask position with numpy : 4.482269287109375e-05 nb_pixel_total : 1286 time to create 1 rle with old method : 0.001554250717163086 length of segment : 40 time for calcul the mask position with numpy : 5.221366882324219e-05 nb_pixel_total : 885 time to create 1 rle with old method : 0.0012018680572509766 length of segment : 36 time for calcul the mask position with numpy : 4.8160552978515625e-05 nb_pixel_total : 1108 time to create 1 rle with old method : 0.0013685226440429688 length of segment : 38 time for calcul the mask position with numpy : 4.410743713378906e-05 nb_pixel_total : 946 time to create 1 rle with old method : 0.0012011528015136719 length of segment : 36 Processing 1 images image shape: (400, 400, 3) min: 30.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -92.57109 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 : 4.220008850097656e-05 nb_pixel_total : 458 time to create 1 rle with old method : 0.0006809234619140625 length of segment : 16 time for calcul the mask position with numpy : 0.00010037422180175781 nb_pixel_total : 4277 time to create 1 rle with old method : 0.005098104476928711 length of segment : 153 time for calcul the mask position with numpy : 3.695487976074219e-05 nb_pixel_total : 170 time to create 1 rle with old method : 0.0002536773681640625 length of segment : 28 time for calcul the mask position with numpy : 0.00011110305786132812 nb_pixel_total : 2122 time to create 1 rle with old method : 0.002694368362426758 length of segment : 117 time for calcul the mask position with numpy : 0.00010561943054199219 nb_pixel_total : 6182 time to create 1 rle with old method : 0.007282733917236328 length of segment : 179 time for calcul the mask position with numpy : 5.888938903808594e-05 nb_pixel_total : 1690 time to create 1 rle with old method : 0.002042055130004883 length of segment : 65 time for calcul the mask position with numpy : 5.078315734863281e-05 nb_pixel_total : 1321 time to create 1 rle with old method : 0.0016460418701171875 length of segment : 44 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: 148.89687 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 10 time for calcul the mask position with numpy : 4.315376281738281e-05 nb_pixel_total : 413 time to create 1 rle with old method : 0.0006601810455322266 length of segment : 19 time for calcul the mask position with numpy : 5.245208740234375e-05 nb_pixel_total : 731 time to create 1 rle with old method : 0.0009517669677734375 length of segment : 83 time for calcul the mask position with numpy : 3.933906555175781e-05 nb_pixel_total : 619 time to create 1 rle with old method : 0.0008692741394042969 length of segment : 20 time for calcul the mask position with numpy : 8.702278137207031e-05 nb_pixel_total : 1343 time to create 1 rle with old method : 0.002929210662841797 length of segment : 49 time for calcul the mask position with numpy : 4.410743713378906e-05 nb_pixel_total : 785 time to create 1 rle with old method : 0.0009989738464355469 length of segment : 42 time for calcul the mask position with numpy : 4.506111145019531e-05 nb_pixel_total : 861 time to create 1 rle with old method : 0.0010762214660644531 length of segment : 55 time for calcul the mask position with numpy : 3.361701965332031e-05 nb_pixel_total : 253 time to create 1 rle with old method : 0.00034880638122558594 length of segment : 30 time for calcul the mask position with numpy : 4.1961669921875e-05 nb_pixel_total : 805 time to create 1 rle with old method : 0.0010237693786621094 length of segment : 56 time for calcul the mask position with numpy : 3.266334533691406e-05 nb_pixel_total : 155 time to create 1 rle with old method : 0.0002281665802001953 length of segment : 26 time for calcul the mask position with numpy : 0.0001475811004638672 nb_pixel_total : 2730 time to create 1 rle with old method : 0.003351449966430664 length of segment : 153 Processing 1 images image shape: (280, 400, 3) min: 0.00000 max: 166.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 41.78594 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 0 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: 148.24453 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 11 time for calcul the mask position with numpy : 4.839897155761719e-05 nb_pixel_total : 622 time to create 1 rle with old method : 0.0008990764617919922 length of segment : 26 time for calcul the mask position with numpy : 4.8160552978515625e-05 nb_pixel_total : 828 time to create 1 rle with old method : 0.0011544227600097656 length of segment : 37 time for calcul the mask position with numpy : 3.695487976074219e-05 nb_pixel_total : 265 time to create 1 rle with old method : 0.0003993511199951172 length of segment : 21 time for calcul the mask position with numpy : 4.744529724121094e-05 nb_pixel_total : 1167 time to create 1 rle with old method : 0.0015332698822021484 length of segment : 27 time for calcul the mask position with numpy : 9.465217590332031e-05 nb_pixel_total : 3074 time to create 1 rle with old method : 0.003954887390136719 length of segment : 84 time for calcul the mask position with numpy : 0.00014710426330566406 nb_pixel_total : 943 time to create 1 rle with old method : 0.0014431476593017578 length of segment : 35 time for calcul the mask position with numpy : 0.00017571449279785156 nb_pixel_total : 3530 time to create 1 rle with old method : 0.0054149627685546875 length of segment : 116 time for calcul the mask position with numpy : 4.4345855712890625e-05 nb_pixel_total : 226 time to create 1 rle with old method : 0.00033974647521972656 length of segment : 16 time for calcul the mask position with numpy : 5.125999450683594e-05 nb_pixel_total : 1256 time to create 1 rle with old method : 0.0016531944274902344 length of segment : 40 time for calcul the mask position with numpy : 5.1975250244140625e-05 nb_pixel_total : 1158 time to create 1 rle with old method : 0.0015015602111816406 length of segment : 47 time for calcul the mask position with numpy : 5.030632019042969e-05 nb_pixel_total : 927 time to create 1 rle with old method : 0.001256704330444336 length of segment : 32 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 : 38 time for calcul the mask position with numpy : 5.9604644775390625e-05 nb_pixel_total : 279 time to create 1 rle with old method : 0.0004029273986816406 length of segment : 23 time for calcul the mask position with numpy : 5.817413330078125e-05 nb_pixel_total : 1726 time to create 1 rle with old method : 0.002145528793334961 length of segment : 49 time for calcul the mask position with numpy : 4.5299530029296875e-05 nb_pixel_total : 496 time to create 1 rle with old method : 0.0006613731384277344 length of segment : 31 time for calcul the mask position with numpy : 4.863739013671875e-05 nb_pixel_total : 1269 time to create 1 rle with old method : 0.0016489028930664062 length of segment : 77 time for calcul the mask position with numpy : 3.4809112548828125e-05 nb_pixel_total : 258 time to create 1 rle with old method : 0.0003495216369628906 length of segment : 24 time for calcul the mask position with numpy : 4.553794860839844e-05 nb_pixel_total : 829 time to create 1 rle with old method : 0.0010824203491210938 length of segment : 44 time for calcul the mask position with numpy : 4.863739013671875e-05 nb_pixel_total : 865 time to create 1 rle with old method : 0.0010645389556884766 length of segment : 48 time for calcul the mask position with numpy : 4.1484832763671875e-05 nb_pixel_total : 583 time to create 1 rle with old method : 0.0007336139678955078 length of segment : 46 time for calcul the mask position with numpy : 5.936622619628906e-05 nb_pixel_total : 1260 time to create 1 rle with old method : 0.0015652179718017578 length of segment : 57 time for calcul the mask position with numpy : 7.867813110351562e-05 nb_pixel_total : 774 time to create 1 rle with old method : 0.0017735958099365234 length of segment : 50 time for calcul the mask position with numpy : 3.886222839355469e-05 nb_pixel_total : 471 time to create 1 rle with old method : 0.0006730556488037109 length of segment : 28 time for calcul the mask position with numpy : 3.7670135498046875e-05 nb_pixel_total : 536 time to create 1 rle with old method : 0.0006937980651855469 length of segment : 29 time for calcul the mask position with numpy : 3.0517578125e-05 nb_pixel_total : 98 time to create 1 rle with old method : 0.00015497207641601562 length of segment : 15 time for calcul the mask position with numpy : 3.7670135498046875e-05 nb_pixel_total : 156 time to create 1 rle with old method : 0.00023102760314941406 length of segment : 19 time for calcul the mask position with numpy : 3.24249267578125e-05 nb_pixel_total : 196 time to create 1 rle with old method : 0.0002918243408203125 length of segment : 18 time for calcul the mask position with numpy : 5.7220458984375e-05 nb_pixel_total : 1689 time to create 1 rle with old method : 0.0020983219146728516 length of segment : 53 time for calcul the mask position with numpy : 5.602836608886719e-05 nb_pixel_total : 1630 time to create 1 rle with old method : 0.002044677734375 length of segment : 49 time for calcul the mask position with numpy : 6.461143493652344e-05 nb_pixel_total : 2140 time to create 1 rle with old method : 0.0027053356170654297 length of segment : 41 time for calcul the mask position with numpy : 3.3855438232421875e-05 nb_pixel_total : 335 time to create 1 rle with old method : 0.00041103363037109375 length of segment : 32 time for calcul the mask position with numpy : 4.267692565917969e-05 nb_pixel_total : 770 time to create 1 rle with old method : 0.0009908676147460938 length of segment : 39 time for calcul the mask position with numpy : 3.814697265625e-05 nb_pixel_total : 525 time to create 1 rle with old method : 0.0007045269012451172 length of segment : 27 time for calcul the mask position with numpy : 3.695487976074219e-05 nb_pixel_total : 325 time to create 1 rle with old method : 0.00046515464782714844 length of segment : 20 time for calcul the mask position with numpy : 7.534027099609375e-05 nb_pixel_total : 3083 time to create 1 rle with old method : 0.003759145736694336 length of segment : 67 time for calcul the mask position with numpy : 4.267692565917969e-05 nb_pixel_total : 849 time to create 1 rle with old method : 0.0009970664978027344 length of segment : 43 time for calcul the mask position with numpy : 4.172325134277344e-05 nb_pixel_total : 570 time to create 1 rle with old method : 0.0007908344268798828 length of segment : 48 time for calcul the mask position with numpy : 4.863739013671875e-05 nb_pixel_total : 905 time to create 1 rle with old method : 0.0011870861053466797 length of segment : 37 time for calcul the mask position with numpy : 3.409385681152344e-05 nb_pixel_total : 130 time to create 1 rle with old method : 0.00019979476928710938 length of segment : 22 time for calcul the mask position with numpy : 4.291534423828125e-05 nb_pixel_total : 417 time to create 1 rle with old method : 0.0005600452423095703 length of segment : 65 time for calcul the mask position with numpy : 5.221366882324219e-05 nb_pixel_total : 821 time to create 1 rle with old method : 0.0010440349578857422 length of segment : 41 time for calcul the mask position with numpy : 4.887580871582031e-05 nb_pixel_total : 1129 time to create 1 rle with old method : 0.0014140605926513672 length of segment : 49 time for calcul the mask position with numpy : 2.9325485229492188e-05 nb_pixel_total : 110 time to create 1 rle with old method : 0.00018095970153808594 length of segment : 9 time for calcul the mask position with numpy : 6.723403930664062e-05 nb_pixel_total : 1808 time to create 1 rle with old method : 0.0022802352905273438 length of segment : 60 time for calcul the mask position with numpy : 3.62396240234375e-05 nb_pixel_total : 539 time to create 1 rle with old method : 0.0007007122039794922 length of segment : 23 time for calcul the mask position with numpy : 4.315376281738281e-05 nb_pixel_total : 760 time to create 1 rle with old method : 0.0009646415710449219 length of segment : 48 time for calcul the mask position with numpy : 2.9087066650390625e-05 nb_pixel_total : 80 time to create 1 rle with old method : 0.00011968612670898438 length of segment : 13 time for calcul the mask position with numpy : 2.9802322387695312e-05 nb_pixel_total : 81 time to create 1 rle with old method : 0.000133514404296875 length of segment : 10 time for calcul the mask position with numpy : 2.9802322387695312e-05 nb_pixel_total : 174 time to create 1 rle with old method : 0.00022864341735839844 length of segment : 19 time for calcul the mask position with numpy : 3.457069396972656e-05 nb_pixel_total : 551 time to create 1 rle with old method : 0.0007619857788085938 length of segment : 23 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 : 32 time for calcul the mask position with numpy : 7.05718994140625e-05 nb_pixel_total : 1403 time to create 1 rle with old method : 0.0018296241760253906 length of segment : 47 time for calcul the mask position with numpy : 3.409385681152344e-05 nb_pixel_total : 136 time to create 1 rle with old method : 0.0002536773681640625 length of segment : 9 time for calcul the mask position with numpy : 3.695487976074219e-05 nb_pixel_total : 420 time to create 1 rle with old method : 0.0005724430084228516 length of segment : 24 time for calcul the mask position with numpy : 5.340576171875e-05 nb_pixel_total : 1417 time to create 1 rle with old method : 0.0017719268798828125 length of segment : 45 time for calcul the mask position with numpy : 4.267692565917969e-05 nb_pixel_total : 871 time to create 1 rle with old method : 0.0010936260223388672 length of segment : 33 time for calcul the mask position with numpy : 3.790855407714844e-05 nb_pixel_total : 374 time to create 1 rle with old method : 0.0005435943603515625 length of segment : 25 time for calcul the mask position with numpy : 4.410743713378906e-05 nb_pixel_total : 987 time to create 1 rle with old method : 0.001285552978515625 length of segment : 39 time for calcul the mask position with numpy : 5.4836273193359375e-05 nb_pixel_total : 1306 time to create 1 rle with old method : 0.0017018318176269531 length of segment : 48 time for calcul the mask position with numpy : 7.081031799316406e-05 nb_pixel_total : 2708 time to create 1 rle with old method : 0.003297567367553711 length of segment : 79 time for calcul the mask position with numpy : 4.57763671875e-05 nb_pixel_total : 711 time to create 1 rle with old method : 0.0009684562683105469 length of segment : 34 time for calcul the mask position with numpy : 4.220008850097656e-05 nb_pixel_total : 522 time to create 1 rle with old method : 0.0007109642028808594 length of segment : 33 time for calcul the mask position with numpy : 3.409385681152344e-05 nb_pixel_total : 210 time to create 1 rle with old method : 0.0003082752227783203 length of segment : 21 time for calcul the mask position with numpy : 4.4345855712890625e-05 nb_pixel_total : 884 time to create 1 rle with old method : 0.0011489391326904297 length of segment : 34 time for calcul the mask position with numpy : 4.315376281738281e-05 nb_pixel_total : 737 time to create 1 rle with old method : 0.0009639263153076172 length of segment : 36 time for calcul the mask position with numpy : 3.2901763916015625e-05 nb_pixel_total : 190 time to create 1 rle with old method : 0.00027441978454589844 length of segment : 23 time for calcul the mask position with numpy : 4.792213439941406e-05 nb_pixel_total : 998 time to create 1 rle with old method : 0.0013298988342285156 length of segment : 36 time for calcul the mask position with numpy : 3.5762786865234375e-05 nb_pixel_total : 383 time to create 1 rle with old method : 0.0005216598510742188 length of segment : 31 time for calcul the mask position with numpy : 4.267692565917969e-05 nb_pixel_total : 774 time to create 1 rle with old method : 0.001039266586303711 length of segment : 31 time for calcul the mask position with numpy : 0.00010848045349121094 nb_pixel_total : 3715 time to create 1 rle with old method : 0.004557609558105469 length of segment : 90 time for calcul the mask position with numpy : 5.53131103515625e-05 nb_pixel_total : 1403 time to create 1 rle with old method : 0.0017786026000976562 length of segment : 41 time for calcul the mask position with numpy : 4.57763671875e-05 nb_pixel_total : 999 time to create 1 rle with old method : 0.0012769699096679688 length of segment : 43 time for calcul the mask position with numpy : 0.00011396408081054688 nb_pixel_total : 4025 time to create 1 rle with old method : 0.00484919548034668 length of segment : 129 time for calcul the mask position with numpy : 3.7670135498046875e-05 nb_pixel_total : 160 time to create 1 rle with old method : 0.0002663135528564453 length of segment : 22 time for calcul the mask position with numpy : 3.0994415283203125e-05 nb_pixel_total : 91 time to create 1 rle with old method : 0.00015211105346679688 length of segment : 10 time for calcul the mask position with numpy : 0.0001010894775390625 nb_pixel_total : 3072 time to create 1 rle with old method : 0.0036706924438476562 length of segment : 93 time for calcul the mask position with numpy : 4.315376281738281e-05 nb_pixel_total : 773 time to create 1 rle with old method : 0.0009906291961669922 length of segment : 32 time for calcul the mask position with numpy : 5.221366882324219e-05 nb_pixel_total : 293 time to create 1 rle with old method : 0.0004017353057861328 length of segment : 46 time for calcul the mask position with numpy : 3.24249267578125e-05 nb_pixel_total : 129 time to create 1 rle with old method : 0.00020170211791992188 length of segment : 15 time for calcul the mask position with numpy : 4.863739013671875e-05 nb_pixel_total : 844 time to create 1 rle with old method : 0.0012366771697998047 length of segment : 47 time for calcul the mask position with numpy : 3.695487976074219e-05 nb_pixel_total : 310 time to create 1 rle with old method : 0.0004334449768066406 length of segment : 23 time for calcul the mask position with numpy : 5.698204040527344e-05 nb_pixel_total : 1351 time to create 1 rle with old method : 0.0017125606536865234 length of segment : 42 time for calcul the mask position with numpy : 5.14984130859375e-05 nb_pixel_total : 1367 time to create 1 rle with old method : 0.0016787052154541016 length of segment : 50 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: 129.70000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 5 time for calcul the mask position with numpy : 3.8623809814453125e-05 nb_pixel_total : 99 time to create 1 rle with old method : 0.0001690387725830078 length of segment : 11 time for calcul the mask position with numpy : 3.314018249511719e-05 nb_pixel_total : 190 time to create 1 rle with old method : 0.00028896331787109375 length of segment : 17 time for calcul the mask position with numpy : 6.270408630371094e-05 nb_pixel_total : 1151 time to create 1 rle with old method : 0.001781463623046875 length of segment : 67 time for calcul the mask position with numpy : 6.866455078125e-05 nb_pixel_total : 2584 time to create 1 rle with old method : 0.0031380653381347656 length of segment : 153 time for calcul the mask position with numpy : 0.00011801719665527344 nb_pixel_total : 3163 time to create 1 rle with old method : 0.0038526058197021484 length of segment : 154 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: -116.45781 max: 149.08437 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 11 time for calcul the mask position with numpy : 5.14984130859375e-05 nb_pixel_total : 125 time to create 1 rle with old method : 0.00023365020751953125 length of segment : 29 time for calcul the mask position with numpy : 5.507469177246094e-05 nb_pixel_total : 1921 time to create 1 rle with old method : 0.002465486526489258 length of segment : 48 time for calcul the mask position with numpy : 3.790855407714844e-05 nb_pixel_total : 293 time to create 1 rle with old method : 0.0004277229309082031 length of segment : 51 time for calcul the mask position with numpy : 3.218650817871094e-05 nb_pixel_total : 83 time to create 1 rle with old method : 0.00013184547424316406 length of segment : 23 time for calcul the mask position with numpy : 3.6716461181640625e-05 nb_pixel_total : 251 time to create 1 rle with old method : 0.0004391670227050781 length of segment : 36 time for calcul the mask position with numpy : 3.5762786865234375e-05 nb_pixel_total : 396 time to create 1 rle with old method : 0.0005114078521728516 length of segment : 33 time for calcul the mask position with numpy : 3.910064697265625e-05 nb_pixel_total : 328 time to create 1 rle with old method : 0.0005986690521240234 length of segment : 29 length of segment : 0 time for calcul the mask position with numpy : 3.838539123535156e-05 nb_pixel_total : 604 time to create 1 rle with old method : 0.0007922649383544922 length of segment : 34 time for calcul the mask position with numpy : 3.719329833984375e-05 nb_pixel_total : 258 time to create 1 rle with old method : 0.00045108795166015625 length of segment : 39 time for calcul the mask position with numpy : 3.695487976074219e-05 nb_pixel_total : 266 time to create 1 rle with old method : 0.0004119873046875 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: -115.09844 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 5 time for calcul the mask position with numpy : 5.2928924560546875e-05 nb_pixel_total : 1594 time to create 1 rle with old method : 0.002009153366088867 length of segment : 29 time for calcul the mask position with numpy : 3.981590270996094e-05 nb_pixel_total : 539 time to create 1 rle with old method : 0.0007610321044921875 length of segment : 54 time for calcul the mask position with numpy : 3.0517578125e-05 nb_pixel_total : 30 time to create 1 rle with old method : 6.556510925292969e-05 length of segment : 5 time for calcul the mask position with numpy : 6.651878356933594e-05 nb_pixel_total : 3173 time to create 1 rle with old method : 0.003858327865600586 length of segment : 47 time for calcul the mask position with numpy : 5.364418029785156e-05 nb_pixel_total : 1890 time to create 1 rle with old method : 0.0022644996643066406 length of segment : 71 Processing 1 images image shape: (400, 400, 3) min: 16.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -82.80547 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 5 time for calcul the mask position with numpy : 0.00026679039001464844 nb_pixel_total : 7536 time to create 1 rle with old method : 0.009289741516113281 length of segment : 164 time for calcul the mask position with numpy : 5.054473876953125e-05 nb_pixel_total : 1043 time to create 1 rle with old method : 0.0014615058898925781 length of segment : 31 time for calcul the mask position with numpy : 7.295608520507812e-05 nb_pixel_total : 1863 time to create 1 rle with old method : 0.0025091171264648438 length of segment : 126 time for calcul the mask position with numpy : 5.3882598876953125e-05 nb_pixel_total : 1436 time to create 1 rle with old method : 0.0019636154174804688 length of segment : 35 time for calcul the mask position with numpy : 9.655952453613281e-05 nb_pixel_total : 4884 time to create 1 rle with old method : 0.005809307098388672 length of segment : 120 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -110.55938 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 : 6.031990051269531e-05 nb_pixel_total : 1840 time to create 1 rle with old method : 0.0023136138916015625 length of segment : 55 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: 139.15469 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 6 time for calcul the mask position with numpy : 4.267692565917969e-05 nb_pixel_total : 378 time to create 1 rle with old method : 0.0005426406860351562 length of segment : 28 time for calcul the mask position with numpy : 4.363059997558594e-05 nb_pixel_total : 544 time to create 1 rle with old method : 0.0007333755493164062 length of segment : 45 time for calcul the mask position with numpy : 4.0531158447265625e-05 nb_pixel_total : 613 time to create 1 rle with old method : 0.0008475780487060547 length of segment : 20 time for calcul the mask position with numpy : 5.269050598144531e-05 nb_pixel_total : 275 time to create 1 rle with old method : 0.0003581047058105469 length of segment : 39 time for calcul the mask position with numpy : 8.368492126464844e-05 nb_pixel_total : 1235 time to create 1 rle with old method : 0.0016973018646240234 length of segment : 124 time for calcul the mask position with numpy : 7.987022399902344e-05 nb_pixel_total : 3421 time to create 1 rle with old method : 0.004347085952758789 length of segment : 69 Processing 1 images image shape: (400, 400, 3) min: 14.00000 max: 191.00000 molded_images shape: (1, 640, 640, 3) min: -82.77031 max: 65.60625 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: -112.31328 max: 144.51406 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 6 time for calcul the mask position with numpy : 0.0001049041748046875 nb_pixel_total : 5040 time to create 1 rle with old method : 0.006126880645751953 length of segment : 67 time for calcul the mask position with numpy : 4.410743713378906e-05 nb_pixel_total : 248 time to create 1 rle with old method : 0.00033545494079589844 length of segment : 34 time for calcul the mask position with numpy : 4.4345855712890625e-05 nb_pixel_total : 837 time to create 1 rle with old method : 0.0011649131774902344 length of segment : 39 time for calcul the mask position with numpy : 5.793571472167969e-05 nb_pixel_total : 2214 time to create 1 rle with old method : 0.0027484893798828125 length of segment : 48 time for calcul the mask position with numpy : 7.867813110351562e-05 nb_pixel_total : 1944 time to create 1 rle with old method : 0.0026543140411376953 length of segment : 128 time for calcul the mask position with numpy : 9.5367431640625e-05 nb_pixel_total : 3791 time to create 1 rle with old method : 0.0045435428619384766 length of segment : 82 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -104.44609 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 28 time for calcul the mask position with numpy : 6.341934204101562e-05 nb_pixel_total : 131 time to create 1 rle with old method : 0.00021505355834960938 length of segment : 24 time for calcul the mask position with numpy : 5.6743621826171875e-05 nb_pixel_total : 1353 time to create 1 rle with old method : 0.0016908645629882812 length of segment : 40 time for calcul the mask position with numpy : 4.57763671875e-05 nb_pixel_total : 408 time to create 1 rle with old method : 0.0005428791046142578 length of segment : 27 time for calcul the mask position with numpy : 4.982948303222656e-05 nb_pixel_total : 487 time to create 1 rle with old method : 0.0006861686706542969 length of segment : 35 time for calcul the mask position with numpy : 4.3392181396484375e-05 nb_pixel_total : 320 time to create 1 rle with old method : 0.0004322528839111328 length of segment : 31 time for calcul the mask position with numpy : 3.528594970703125e-05 nb_pixel_total : 171 time to create 1 rle with old method : 0.0002510547637939453 length of segment : 16 time for calcul the mask position with numpy : 4.291534423828125e-05 nb_pixel_total : 605 time to create 1 rle with old method : 0.0008220672607421875 length of segment : 37 time for calcul the mask position with numpy : 5.269050598144531e-05 nb_pixel_total : 580 time to create 1 rle with old method : 0.0008633136749267578 length of segment : 34 time for calcul the mask position with numpy : 4.673004150390625e-05 nb_pixel_total : 330 time to create 1 rle with old method : 0.00042510032653808594 length of segment : 22 time for calcul the mask position with numpy : 4.57763671875e-05 nb_pixel_total : 873 time to create 1 rle with old method : 0.0010979175567626953 length of segment : 33 time for calcul the mask position with numpy : 5.054473876953125e-05 nb_pixel_total : 845 time to create 1 rle with old method : 0.0010535717010498047 length of segment : 46 time for calcul the mask position with numpy : 3.695487976074219e-05 nb_pixel_total : 247 time to create 1 rle with old method : 0.0003409385681152344 length of segment : 15 time for calcul the mask position with numpy : 3.600120544433594e-05 nb_pixel_total : 234 time to create 1 rle with old method : 0.00030875205993652344 length of segment : 25 time for calcul the mask position with numpy : 3.4809112548828125e-05 nb_pixel_total : 221 time to create 1 rle with old method : 0.0003390312194824219 length of segment : 14 time for calcul the mask position with numpy : 8.440017700195312e-05 nb_pixel_total : 1881 time to create 1 rle with old method : 0.0023298263549804688 length of segment : 68 time for calcul the mask position with numpy : 4.8160552978515625e-05 nb_pixel_total : 589 time to create 1 rle with old method : 0.0007922649383544922 length of segment : 27 time for calcul the mask position with numpy : 3.337860107421875e-05 nb_pixel_total : 183 time to create 1 rle with old method : 0.0002906322479248047 length of segment : 11 time for calcul the mask position with numpy : 3.2901763916015625e-05 nb_pixel_total : 208 time to create 1 rle with old method : 0.0003008842468261719 length of segment : 19 time for calcul the mask position with numpy : 4.076957702636719e-05 nb_pixel_total : 599 time to create 1 rle with old method : 0.0008513927459716797 length of segment : 17 time for calcul the mask position with numpy : 3.0517578125e-05 nb_pixel_total : 33 time to create 1 rle with old method : 7.414817810058594e-05 length of segment : 8 time for calcul the mask position with numpy : 3.4809112548828125e-05 nb_pixel_total : 248 time to create 1 rle with old method : 0.0003864765167236328 length of segment : 20 time for calcul the mask position with numpy : 3.409385681152344e-05 nb_pixel_total : 160 time to create 1 rle with old method : 0.00022125244140625 length of segment : 35 time for calcul the mask position with numpy : 3.647804260253906e-05 nb_pixel_total : 274 time to create 1 rle with old method : 0.00037932395935058594 length of segment : 16 time for calcul the mask position with numpy : 0.00011229515075683594 nb_pixel_total : 1618 time to create 1 rle with old method : 0.002240419387817383 length of segment : 58 time for calcul the mask position with numpy : 4.410743713378906e-05 nb_pixel_total : 606 time to create 1 rle with old method : 0.0008518695831298828 length of segment : 18 time for calcul the mask position with numpy : 3.4332275390625e-05 nb_pixel_total : 309 time to create 1 rle with old method : 0.0004582405090332031 length of segment : 16 time for calcul the mask position with numpy : 3.1948089599609375e-05 nb_pixel_total : 204 time to create 1 rle with old method : 0.00031113624572753906 length of segment : 13 time for calcul the mask position with numpy : 3.790855407714844e-05 nb_pixel_total : 360 time to create 1 rle with old method : 0.0004863739013671875 length of segment : 27 Processing 1 images image shape: (400, 400, 3) min: 29.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -87.18828 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 : 4.506111145019531e-05 nb_pixel_total : 473 time to create 1 rle with old method : 0.0007069110870361328 length of segment : 17 time for calcul the mask position with numpy : 0.00011420249938964844 nb_pixel_total : 6049 time to create 1 rle with old method : 0.007242679595947266 length of segment : 233 time for calcul the mask position with numpy : 0.0001163482666015625 nb_pixel_total : 5069 time to create 1 rle with old method : 0.006131410598754883 length of segment : 167 time for calcul the mask position with numpy : 0.0001976490020751953 nb_pixel_total : 4010 time to create 1 rle with old method : 0.007864713668823242 length of segment : 152 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: 151.02969 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 15 time for calcul the mask position with numpy : 5.173683166503906e-05 nb_pixel_total : 580 time to create 1 rle with old method : 0.0007886886596679688 length of segment : 76 time for calcul the mask position with numpy : 4.363059997558594e-05 nb_pixel_total : 615 time to create 1 rle with old method : 0.0008599758148193359 length of segment : 43 time for calcul the mask position with numpy : 3.838539123535156e-05 nb_pixel_total : 625 time to create 1 rle with old method : 0.0009024143218994141 length of segment : 20 time for calcul the mask position with numpy : 3.910064697265625e-05 nb_pixel_total : 333 time to create 1 rle with old method : 0.0004990100860595703 length of segment : 42 time for calcul the mask position with numpy : 2.9802322387695312e-05 nb_pixel_total : 64 time to create 1 rle with old method : 0.00010442733764648438 length of segment : 16 time for calcul the mask position with numpy : 3.457069396972656e-05 nb_pixel_total : 267 time to create 1 rle with old method : 0.00037288665771484375 length of segment : 28 time for calcul the mask position with numpy : 5.030632019042969e-05 nb_pixel_total : 773 time to create 1 rle with old method : 0.0009882450103759766 length of segment : 58 time for calcul the mask position with numpy : 3.886222839355469e-05 nb_pixel_total : 650 time to create 1 rle with old method : 0.0009312629699707031 length of segment : 21 time for calcul the mask position with numpy : 3.218650817871094e-05 nb_pixel_total : 165 time to create 1 rle with old method : 0.0002894401550292969 length of segment : 18 time for calcul the mask position with numpy : 4.863739013671875e-05 nb_pixel_total : 638 time to create 1 rle with old method : 0.0008909702301025391 length of segment : 69 time for calcul the mask position with numpy : 3.4809112548828125e-05 nb_pixel_total : 70 time to create 1 rle with old method : 0.00011515617370605469 length of segment : 17 time for calcul the mask position with numpy : 6.270408630371094e-05 nb_pixel_total : 1226 time to create 1 rle with old method : 0.001585245132446289 length of segment : 78 time for calcul the mask position with numpy : 0.00016236305236816406 nb_pixel_total : 2790 time to create 1 rle with old method : 0.0034444332122802734 length of segment : 168 time for calcul the mask position with numpy : 4.363059997558594e-05 nb_pixel_total : 261 time to create 1 rle with old method : 0.0003514289855957031 length of segment : 30 time for calcul the mask position with numpy : 4.887580871582031e-05 nb_pixel_total : 831 time to create 1 rle with old method : 0.0013356208801269531 length of segment : 60 Processing 1 images image shape: (280, 400, 3) min: 9.00000 max: 179.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 52.21953 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 0 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: 148.88516 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 10 time for calcul the mask position with numpy : 6.341934204101562e-05 nb_pixel_total : 854 time to create 1 rle with old method : 0.0016744136810302734 length of segment : 39 time for calcul the mask position with numpy : 5.340576171875e-05 nb_pixel_total : 636 time to create 1 rle with old method : 0.0009074211120605469 length of segment : 28 time for calcul the mask position with numpy : 6.0558319091796875e-05 nb_pixel_total : 246 time to create 1 rle with old method : 0.0005178451538085938 length of segment : 21 time for calcul the mask position with numpy : 4.839897155761719e-05 nb_pixel_total : 1156 time to create 1 rle with old method : 0.0014805793762207031 length of segment : 27 time for calcul the mask position with numpy : 5.555152893066406e-05 nb_pixel_total : 1189 time to create 1 rle with old method : 0.0016255378723144531 length of segment : 29 time for calcul the mask position with numpy : 0.00013017654418945312 nb_pixel_total : 4499 time to create 1 rle with old method : 0.0059773921966552734 length of segment : 177 time for calcul the mask position with numpy : 6.270408630371094e-05 nb_pixel_total : 181 time to create 1 rle with old method : 0.0002727508544921875 length of segment : 16 time for calcul the mask position with numpy : 0.00010561943054199219 nb_pixel_total : 1778 time to create 1 rle with old method : 0.002232074737548828 length of segment : 50 time for calcul the mask position with numpy : 0.0001373291015625 nb_pixel_total : 1181 time to create 1 rle with old method : 0.001628875732421875 length of segment : 49 time for calcul the mask position with numpy : 6.270408630371094e-05 nb_pixel_total : 1120 time to create 1 rle with old method : 0.001544952392578125 length of segment : 52 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: 147.75234 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 31 time for calcul the mask position with numpy : 7.367134094238281e-05 nb_pixel_total : 1621 time to create 1 rle with old method : 0.0019888877868652344 length of segment : 47 time for calcul the mask position with numpy : 3.838539123535156e-05 nb_pixel_total : 511 time to create 1 rle with old method : 0.0006475448608398438 length of segment : 26 time for calcul the mask position with numpy : 3.552436828613281e-05 nb_pixel_total : 373 time to create 1 rle with old method : 0.0004801750183105469 length of segment : 25 time for calcul the mask position with numpy : 4.76837158203125e-05 nb_pixel_total : 1145 time to create 1 rle with old method : 0.0014111995697021484 length of segment : 57 time for calcul the mask position with numpy : 5.7697296142578125e-05 nb_pixel_total : 1735 time to create 1 rle with old method : 0.0021321773529052734 length of segment : 46 time for calcul the mask position with numpy : 3.24249267578125e-05 nb_pixel_total : 224 time to create 1 rle with old method : 0.00031256675720214844 length of segment : 16 time for calcul the mask position with numpy : 3.218650817871094e-05 nb_pixel_total : 148 time to create 1 rle with old method : 0.0002124309539794922 length of segment : 19 time for calcul the mask position with numpy : 3.647804260253906e-05 nb_pixel_total : 423 time to create 1 rle with old method : 0.0005092620849609375 length of segment : 31 time for calcul the mask position with numpy : 3.170967102050781e-05 nb_pixel_total : 296 time to create 1 rle with old method : 0.00037670135498046875 length of segment : 21 time for calcul the mask position with numpy : 3.075599670410156e-05 nb_pixel_total : 79 time to create 1 rle with old method : 0.000133514404296875 length of segment : 9 time for calcul the mask position with numpy : 3.075599670410156e-05 nb_pixel_total : 264 time to create 1 rle with old method : 0.0003306865692138672 length of segment : 24 time for calcul the mask position with numpy : 4.220008850097656e-05 nb_pixel_total : 792 time to create 1 rle with old method : 0.0009849071502685547 length of segment : 40 time for calcul the mask position with numpy : 3.24249267578125e-05 nb_pixel_total : 212 time to create 1 rle with old method : 0.0003075599670410156 length of segment : 17 time for calcul the mask position with numpy : 3.457069396972656e-05 nb_pixel_total : 524 time to create 1 rle with old method : 0.0006651878356933594 length of segment : 26 time for calcul the mask position with numpy : 3.314018249511719e-05 nb_pixel_total : 175 time to create 1 rle with old method : 0.0002579689025878906 length of segment : 26 time for calcul the mask position with numpy : 2.9802322387695312e-05 nb_pixel_total : 87 time to create 1 rle with old method : 0.00013971328735351562 length of segment : 14 time for calcul the mask position with numpy : 4.887580871582031e-05 nb_pixel_total : 1261 time to create 1 rle with old method : 0.0014472007751464844 length of segment : 72 time for calcul the mask position with numpy : 3.62396240234375e-05 nb_pixel_total : 341 time to create 1 rle with old method : 0.0004448890686035156 length of segment : 31 time for calcul the mask position with numpy : 3.24249267578125e-05 nb_pixel_total : 158 time to create 1 rle with old method : 0.0002548694610595703 length of segment : 15 time for calcul the mask position with numpy : 3.9577484130859375e-05 nb_pixel_total : 574 time to create 1 rle with old method : 0.0007562637329101562 length of segment : 44 time for calcul the mask position with numpy : 3.647804260253906e-05 nb_pixel_total : 451 time to create 1 rle with old method : 0.0006062984466552734 length of segment : 27 time for calcul the mask position with numpy : 3.337860107421875e-05 nb_pixel_total : 371 time to create 1 rle with old method : 0.00045752525329589844 length of segment : 34 time for calcul the mask position with numpy : 5.3882598876953125e-05 nb_pixel_total : 1064 time to create 1 rle with old method : 0.001336812973022461 length of segment : 73 time for calcul the mask position with numpy : 6.985664367675781e-05 nb_pixel_total : 2829 time to create 1 rle with old method : 0.0032744407653808594 length of segment : 71 time for calcul the mask position with numpy : 3.8623809814453125e-05 nb_pixel_total : 369 time to create 1 rle with old method : 0.0005202293395996094 length of segment : 23 time for calcul the mask position with numpy : 3.838539123535156e-05 nb_pixel_total : 565 time to create 1 rle with old method : 0.0006983280181884766 length of segment : 30 time for calcul the mask position with numpy : 5.1021575927734375e-05 nb_pixel_total : 969 time to create 1 rle with old method : 0.0012485980987548828 length of segment : 40 time for calcul the mask position with numpy : 4.4345855712890625e-05 nb_pixel_total : 747 time to create 1 rle with old method : 0.0009262561798095703 length of segment : 58 time for calcul the mask position with numpy : 6.866455078125e-05 nb_pixel_total : 1293 time to create 1 rle with old method : 0.0016429424285888672 length of segment : 55 time for calcul the mask position with numpy : 4.553794860839844e-05 nb_pixel_total : 839 time to create 1 rle with old method : 0.0010271072387695312 length of segment : 41 time for calcul the mask position with numpy : 5.269050598144531e-05 nb_pixel_total : 1460 time to create 1 rle with old method : 0.001827239990234375 length of segment : 46 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: 150.88906 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 32 time for calcul the mask position with numpy : 7.152557373046875e-05 nb_pixel_total : 795 time to create 1 rle with old method : 0.0011315345764160156 length of segment : 24 time for calcul the mask position with numpy : 3.6716461181640625e-05 nb_pixel_total : 121 time to create 1 rle with old method : 0.0002639293670654297 length of segment : 9 time for calcul the mask position with numpy : 4.673004150390625e-05 nb_pixel_total : 849 time to create 1 rle with old method : 0.001107931137084961 length of segment : 32 time for calcul the mask position with numpy : 4.4345855712890625e-05 nb_pixel_total : 627 time to create 1 rle with old method : 0.0008130073547363281 length of segment : 31 time for calcul the mask position with numpy : 6.389617919921875e-05 nb_pixel_total : 1324 time to create 1 rle with old method : 0.0016622543334960938 length of segment : 51 time for calcul the mask position with numpy : 5.2928924560546875e-05 nb_pixel_total : 1172 time to create 1 rle with old method : 0.0014803409576416016 length of segment : 46 time for calcul the mask position with numpy : 6.103515625e-05 nb_pixel_total : 1394 time to create 1 rle with old method : 0.0017583370208740234 length of segment : 38 time for calcul the mask position with numpy : 3.9577484130859375e-05 nb_pixel_total : 328 time to create 1 rle with old method : 0.0004837512969970703 length of segment : 16 time for calcul the mask position with numpy : 6.4849853515625e-05 nb_pixel_total : 1768 time to create 1 rle with old method : 0.0023050308227539062 length of segment : 47 time for calcul the mask position with numpy : 4.696846008300781e-05 nb_pixel_total : 834 time to create 1 rle with old method : 0.0010988712310791016 length of segment : 34 time for calcul the mask position with numpy : 8.058547973632812e-05 nb_pixel_total : 1693 time to create 1 rle with old method : 0.002302885055541992 length of segment : 51 time for calcul the mask position with numpy : 5.0067901611328125e-05 nb_pixel_total : 622 time to create 1 rle with old method : 0.0009114742279052734 length of segment : 28 time for calcul the mask position with numpy : 9.894371032714844e-05 nb_pixel_total : 2984 time to create 1 rle with old method : 0.0037636756896972656 length of segment : 84 time for calcul the mask position with numpy : 5.936622619628906e-05 nb_pixel_total : 1095 time to create 1 rle with old method : 0.0014259815216064453 length of segment : 56 time for calcul the mask position with numpy : 4.458427429199219e-05 nb_pixel_total : 363 time to create 1 rle with old method : 0.0005328655242919922 length of segment : 24 time for calcul the mask position with numpy : 0.00014925003051757812 nb_pixel_total : 5540 time to create 1 rle with old method : 0.006679058074951172 length of segment : 145 time for calcul the mask position with numpy : 4.363059997558594e-05 nb_pixel_total : 141 time to create 1 rle with old method : 0.00027680397033691406 length of segment : 16 time for calcul the mask position with numpy : 5.316734313964844e-05 nb_pixel_total : 896 time to create 1 rle with old method : 0.0013611316680908203 length of segment : 41 time for calcul the mask position with numpy : 6.4849853515625e-05 nb_pixel_total : 962 time to create 1 rle with old method : 0.0012447834014892578 length of segment : 41 time for calcul the mask position with numpy : 4.076957702636719e-05 nb_pixel_total : 234 time to create 1 rle with old method : 0.0003516674041748047 length of segment : 28 time for calcul the mask position with numpy : 5.7220458984375e-05 nb_pixel_total : 458 time to create 1 rle with old method : 0.000652313232421875 length of segment : 23 time for calcul the mask position with numpy : 4.553794860839844e-05 nb_pixel_total : 743 time to create 1 rle with old method : 0.000990152359008789 length of segment : 32 time for calcul the mask position with numpy : 7.295608520507812e-05 nb_pixel_total : 905 time to create 1 rle with old method : 0.001399993896484375 length of segment : 40 time for calcul the mask position with numpy : 4.076957702636719e-05 nb_pixel_total : 162 time to create 1 rle with old method : 0.00024318695068359375 length of segment : 21 time for calcul the mask position with numpy : 3.647804260253906e-05 nb_pixel_total : 198 time to create 1 rle with old method : 0.0003063678741455078 length of segment : 12 time for calcul the mask position with numpy : 4.7206878662109375e-05 nb_pixel_total : 636 time to create 1 rle with old method : 0.0008373260498046875 length of segment : 45 time for calcul the mask position with numpy : 5.793571472167969e-05 nb_pixel_total : 435 time to create 1 rle with old method : 0.0006492137908935547 length of segment : 23 time for calcul the mask position with numpy : 3.814697265625e-05 nb_pixel_total : 378 time to create 1 rle with old method : 0.0006003379821777344 length of segment : 19 time for calcul the mask position with numpy : 4.410743713378906e-05 nb_pixel_total : 494 time to create 1 rle with old method : 0.000762939453125 length of segment : 44 time for calcul the mask position with numpy : 0.00010633468627929688 nb_pixel_total : 1719 time to create 1 rle with old method : 0.002756834030151367 length of segment : 71 time for calcul the mask position with numpy : 6.890296936035156e-05 nb_pixel_total : 1652 time to create 1 rle with old method : 0.002938508987426758 length of segment : 51 time for calcul the mask position with numpy : 0.00013184547424316406 nb_pixel_total : 3285 time to create 1 rle with old method : 0.006319284439086914 length of segment : 89 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: 136.66250 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 2 time for calcul the mask position with numpy : 7.677078247070312e-05 nb_pixel_total : 210 time to create 1 rle with old method : 0.0006082057952880859 length of segment : 17 time for calcul the mask position with numpy : 0.0001270771026611328 nb_pixel_total : 5318 time to create 1 rle with old method : 0.007754087448120117 length of segment : 143 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: -117.27031 max: 149.35391 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 7 time for calcul the mask position with numpy : 4.124641418457031e-05 nb_pixel_total : 147 time to create 1 rle with old method : 0.0002524852752685547 length of segment : 34 time for calcul the mask position with numpy : 5.6743621826171875e-05 nb_pixel_total : 2087 time to create 1 rle with old method : 0.002549886703491211 length of segment : 37 time for calcul the mask position with numpy : 3.647804260253906e-05 nb_pixel_total : 303 time to create 1 rle with old method : 0.0005116462707519531 length of segment : 39 time for calcul the mask position with numpy : 3.743171691894531e-05 nb_pixel_total : 408 time to create 1 rle with old method : 0.0005512237548828125 length of segment : 37 time for calcul the mask position with numpy : 7.367134094238281e-05 nb_pixel_total : 234 time to create 1 rle with old method : 0.0006897449493408203 length of segment : 37 length of segment : 0 time for calcul the mask position with numpy : 3.7670135498046875e-05 nb_pixel_total : 78 time to create 1 rle with old method : 0.0001957416534423828 length of segment : 10 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -116.57891 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 : 4.6253204345703125e-05 nb_pixel_total : 770 time to create 1 rle with old method : 0.0009968280792236328 length of segment : 48 time for calcul the mask position with numpy : 8.034706115722656e-05 nb_pixel_total : 4032 time to create 1 rle with old method : 0.004972934722900391 length of segment : 106 time for calcul the mask position with numpy : 4.363059997558594e-05 nb_pixel_total : 806 time to create 1 rle with old method : 0.0010907649993896484 length of segment : 57 time for calcul the mask position with numpy : 4.601478576660156e-05 nb_pixel_total : 1195 time to create 1 rle with old method : 0.0016248226165771484 length of segment : 35 time for calcul the mask position with numpy : 4.410743713378906e-05 nb_pixel_total : 855 time to create 1 rle with old method : 0.0011272430419921875 length of segment : 33 time for calcul the mask position with numpy : 4.410743713378906e-05 nb_pixel_total : 755 time to create 1 rle with old method : 0.0009751319885253906 length of segment : 33 time for calcul the mask position with numpy : 4.601478576660156e-05 nb_pixel_total : 985 time to create 1 rle with old method : 0.0013210773468017578 length of segment : 42 Processing 1 images image shape: (400, 400, 3) min: 6.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -81.87656 max: 151.10000 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 5 time for calcul the mask position with numpy : 7.343292236328125e-05 nb_pixel_total : 249 time to create 1 rle with old method : 0.0005373954772949219 length of segment : 31 time for calcul the mask position with numpy : 6.127357482910156e-05 nb_pixel_total : 1300 time to create 1 rle with old method : 0.0023818016052246094 length of segment : 33 time for calcul the mask position with numpy : 0.00013184547424316406 nb_pixel_total : 4909 time to create 1 rle with old method : 0.00854802131652832 length of segment : 83 time for calcul the mask position with numpy : 6.651878356933594e-05 nb_pixel_total : 1125 time to create 1 rle with old method : 0.002142190933227539 length of segment : 28 time for calcul the mask position with numpy : 9.012222290039062e-05 nb_pixel_total : 2896 time to create 1 rle with old method : 0.003985881805419922 length of segment : 123 Processing 1 images image shape: (400, 400, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -108.14141 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, 320, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 141.85391 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 4 time for calcul the mask position with numpy : 4.553794860839844e-05 nb_pixel_total : 517 time to create 1 rle with old method : 0.0006968975067138672 length of segment : 43 time for calcul the mask position with numpy : 3.981590270996094e-05 nb_pixel_total : 588 time to create 1 rle with old method : 0.0007894039154052734 length of segment : 36 time for calcul the mask position with numpy : 6.651878356933594e-05 nb_pixel_total : 3026 time to create 1 rle with old method : 0.0035741329193115234 length of segment : 64 time for calcul the mask position with numpy : 8.368492126464844e-05 nb_pixel_total : 1788 time to create 1 rle with old method : 0.0022399425506591797 length of segment : 147 Processing 1 images image shape: (400, 400, 3) min: 12.00000 max: 189.00000 molded_images shape: (1, 640, 640, 3) min: -80.78984 max: 65.66094 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: -110.03984 max: 129.12187 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 7 time for calcul the mask position with numpy : 7.939338684082031e-05 nb_pixel_total : 2143 time to create 1 rle with old method : 0.002597332000732422 length of segment : 167 time for calcul the mask position with numpy : 4.458427429199219e-05 nb_pixel_total : 669 time to create 1 rle with old method : 0.0009119510650634766 length of segment : 33 time for calcul the mask position with numpy : 4.291534423828125e-05 nb_pixel_total : 756 time to create 1 rle with old method : 0.0008854866027832031 length of segment : 52 time for calcul the mask position with numpy : 3.8623809814453125e-05 nb_pixel_total : 545 time to create 1 rle with old method : 0.0007581710815429688 length of segment : 26 time for calcul the mask position with numpy : 0.00011849403381347656 nb_pixel_total : 4210 time to create 1 rle with old method : 0.004871368408203125 length of segment : 166 time for calcul the mask position with numpy : 7.62939453125e-05 nb_pixel_total : 3661 time to create 1 rle with old method : 0.004168272018432617 length of segment : 69 time for calcul the mask position with numpy : 3.838539123535156e-05 nb_pixel_total : 636 time to create 1 rle with old method : 0.0007753372192382812 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: -102.38359 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 : 4.9591064453125e-05 nb_pixel_total : 170 time to create 1 rle with old method : 0.00023508071899414062 length of segment : 32 time for calcul the mask position with numpy : 4.673004150390625e-05 nb_pixel_total : 625 time to create 1 rle with old method : 0.0008602142333984375 length of segment : 33 time for calcul the mask position with numpy : 4.220008850097656e-05 nb_pixel_total : 519 time to create 1 rle with old method : 0.0007123947143554688 length of segment : 35 time for calcul the mask position with numpy : 3.743171691894531e-05 nb_pixel_total : 657 time to create 1 rle with old method : 0.0009379386901855469 length of segment : 31 time for calcul the mask position with numpy : 4.458427429199219e-05 nb_pixel_total : 841 time to create 1 rle with old method : 0.001062154769897461 length of segment : 47 time for calcul the mask position with numpy : 4.410743713378906e-05 nb_pixel_total : 479 time to create 1 rle with old method : 0.0006403923034667969 length of segment : 27 time for calcul the mask position with numpy : 3.5762786865234375e-05 nb_pixel_total : 363 time to create 1 rle with old method : 0.0005056858062744141 length of segment : 25 time for calcul the mask position with numpy : 3.4809112548828125e-05 nb_pixel_total : 244 time to create 1 rle with old method : 0.0004203319549560547 length of segment : 32 time for calcul the mask position with numpy : 4.267692565917969e-05 nb_pixel_total : 543 time to create 1 rle with old method : 0.0008034706115722656 length of segment : 51 time for calcul the mask position with numpy : 3.4332275390625e-05 nb_pixel_total : 263 time to create 1 rle with old method : 0.0003814697265625 length of segment : 17 time for calcul the mask position with numpy : 4.9591064453125e-05 nb_pixel_total : 805 time to create 1 rle with old method : 0.0010600090026855469 length of segment : 26 time for calcul the mask position with numpy : 2.956390380859375e-05 nb_pixel_total : 76 time to create 1 rle with old method : 0.00013136863708496094 length of segment : 9 time for calcul the mask position with numpy : 3.2901763916015625e-05 nb_pixel_total : 173 time to create 1 rle with old method : 0.0002541542053222656 length of segment : 22 time for calcul the mask position with numpy : 3.0517578125e-05 nb_pixel_total : 133 time to create 1 rle with old method : 0.00021505355834960938 length of segment : 12 time for calcul the mask position with numpy : 3.7670135498046875e-05 nb_pixel_total : 542 time to create 1 rle with old method : 0.0007081031799316406 length of segment : 36 time for calcul the mask position with numpy : 3.552436828613281e-05 nb_pixel_total : 399 time to create 1 rle with old method : 0.0005292892456054688 length of segment : 26 time for calcul the mask position with numpy : 7.414817810058594e-05 nb_pixel_total : 2005 time to create 1 rle with old method : 0.0024955272674560547 length of segment : 69 time for calcul the mask position with numpy : 4.4345855712890625e-05 nb_pixel_total : 700 time to create 1 rle with old method : 0.0009765625 length of segment : 32 time for calcul the mask position with numpy : 3.170967102050781e-05 nb_pixel_total : 204 time to create 1 rle with old method : 0.00032901763916015625 length of segment : 14 Processing 1 images image shape: (400, 400, 3) min: 10.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -103.16875 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 : 5.054473876953125e-05 nb_pixel_total : 475 time to create 1 rle with old method : 0.0008575916290283203 length of segment : 17 time for calcul the mask position with numpy : 3.3855438232421875e-05 nb_pixel_total : 174 time to create 1 rle with old method : 0.00025844573974609375 length of segment : 27 time for calcul the mask position with numpy : 0.00010800361633300781 nb_pixel_total : 5866 time to create 1 rle with old method : 0.006941795349121094 length of segment : 172 time for calcul the mask position with numpy : 0.00012230873107910156 nb_pixel_total : 6635 time to create 1 rle with old method : 0.007658958435058594 length of segment : 188 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: 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 : 5.0067901611328125e-05 nb_pixel_total : 1100 time to create 1 rle with old method : 0.0013890266418457031 length of segment : 57 time for calcul the mask position with numpy : 4.363059997558594e-05 nb_pixel_total : 715 time to create 1 rle with old method : 0.0009093284606933594 length of segment : 64 time for calcul the mask position with numpy : 3.838539123535156e-05 nb_pixel_total : 488 time to create 1 rle with old method : 0.0006837844848632812 length of segment : 30 time for calcul the mask position with numpy : 4.9591064453125e-05 nb_pixel_total : 631 time to create 1 rle with old method : 0.0008378028869628906 length of segment : 83 time for calcul the mask position with numpy : 3.7670135498046875e-05 nb_pixel_total : 578 time to create 1 rle with old method : 0.0008177757263183594 length of segment : 18 time for calcul the mask position with numpy : 3.6716461181640625e-05 nb_pixel_total : 126 time to create 1 rle with old method : 0.0001919269561767578 length of segment : 41 time for calcul the mask position with numpy : 3.170967102050781e-05 nb_pixel_total : 112 time to create 1 rle with old method : 0.00018310546875 length of segment : 15 time for calcul the mask position with numpy : 0.00012302398681640625 nb_pixel_total : 2421 time to create 1 rle with old method : 0.003039121627807617 length of segment : 145 Processing 1 images image shape: (280, 400, 3) min: 10.00000 max: 186.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 57.28984 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 0 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: 148.68984 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 12 time for calcul the mask position with numpy : 5.245208740234375e-05 nb_pixel_total : 850 time to create 1 rle with old method : 0.0011506080627441406 length of segment : 38 time for calcul the mask position with numpy : 4.267692565917969e-05 nb_pixel_total : 604 time to create 1 rle with old method : 0.0008492469787597656 length of segment : 29 time for calcul the mask position with numpy : 4.57763671875e-05 nb_pixel_total : 1174 time to create 1 rle with old method : 0.0015072822570800781 length of segment : 26 time for calcul the mask position with numpy : 3.170967102050781e-05 nb_pixel_total : 157 time to create 1 rle with old method : 0.0002779960632324219 length of segment : 10 time for calcul the mask position with numpy : 4.887580871582031e-05 nb_pixel_total : 1334 time to create 1 rle with old method : 0.0016434192657470703 length of segment : 48 time for calcul the mask position with numpy : 9.131431579589844e-05 nb_pixel_total : 4415 time to create 1 rle with old method : 0.005462169647216797 length of segment : 99 time for calcul the mask position with numpy : 5.1021575927734375e-05 nb_pixel_total : 1220 time to create 1 rle with old method : 0.001676797866821289 length of segment : 31 time for calcul the mask position with numpy : 5.412101745605469e-05 nb_pixel_total : 1675 time to create 1 rle with old method : 0.0021283626556396484 length of segment : 50 time for calcul the mask position with numpy : 3.314018249511719e-05 nb_pixel_total : 205 time to create 1 rle with old method : 0.000301361083984375 length of segment : 15 time for calcul the mask position with numpy : 3.0517578125e-05 nb_pixel_total : 96 time to create 1 rle with old method : 0.00016498565673828125 length of segment : 12 time for calcul the mask position with numpy : 3.314018249511719e-05 nb_pixel_total : 257 time to create 1 rle with old method : 0.0003695487976074219 length of segment : 19 time for calcul the mask position with numpy : 4.100799560546875e-05 nb_pixel_total : 773 time to create 1 rle with old method : 0.0010454654693603516 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: 150.59609 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 48 time for calcul the mask position with numpy : 7.62939453125e-05 nb_pixel_total : 1325 time to create 1 rle with old method : 0.001611471176147461 length of segment : 51 time for calcul the mask position with numpy : 3.910064697265625e-05 nb_pixel_total : 501 time to create 1 rle with old method : 0.0006151199340820312 length of segment : 31 time for calcul the mask position with numpy : 3.5762786865234375e-05 nb_pixel_total : 350 time to create 1 rle with old method : 0.00047016143798828125 length of segment : 26 time for calcul the mask position with numpy : 4.9114227294921875e-05 nb_pixel_total : 903 time to create 1 rle with old method : 0.0011663436889648438 length of segment : 43 time for calcul the mask position with numpy : 3.3855438232421875e-05 nb_pixel_total : 256 time to create 1 rle with old method : 0.0003490447998046875 length of segment : 23 time for calcul the mask position with numpy : 4.172325134277344e-05 nb_pixel_total : 496 time to create 1 rle with old method : 0.0006928443908691406 length of segment : 30 time for calcul the mask position with numpy : 3.647804260253906e-05 nb_pixel_total : 249 time to create 1 rle with old method : 0.00042438507080078125 length of segment : 10 time for calcul the mask position with numpy : 3.2901763916015625e-05 nb_pixel_total : 70 time to create 1 rle with old method : 0.00012302398681640625 length of segment : 9 time for calcul the mask position with numpy : 4.291534423828125e-05 nb_pixel_total : 576 time to create 1 rle with old method : 0.0007836818695068359 length of segment : 32 time for calcul the mask position with numpy : 3.62396240234375e-05 nb_pixel_total : 192 time to create 1 rle with old method : 0.0002779960632324219 length of segment : 20 time for calcul the mask position with numpy : 4.100799560546875e-05 nb_pixel_total : 505 time to create 1 rle with old method : 0.0006773471832275391 length of segment : 29 time for calcul the mask position with numpy : 4.601478576660156e-05 nb_pixel_total : 580 time to create 1 rle with old method : 0.0007565021514892578 length of segment : 55 time for calcul the mask position with numpy : 3.910064697265625e-05 nb_pixel_total : 354 time to create 1 rle with old method : 0.0005004405975341797 length of segment : 24 time for calcul the mask position with numpy : 5.1975250244140625e-05 nb_pixel_total : 681 time to create 1 rle with old method : 0.0009057521820068359 length of segment : 65 time for calcul the mask position with numpy : 6.127357482910156e-05 nb_pixel_total : 1410 time to create 1 rle with old method : 0.0017936229705810547 length of segment : 55 time for calcul the mask position with numpy : 5.125999450683594e-05 nb_pixel_total : 1056 time to create 1 rle with old method : 0.0013523101806640625 length of segment : 25 time for calcul the mask position with numpy : 6.198883056640625e-05 nb_pixel_total : 1350 time to create 1 rle with old method : 0.0017251968383789062 length of segment : 50 time for calcul the mask position with numpy : 6.747245788574219e-05 nb_pixel_total : 1428 time to create 1 rle with old method : 0.0018641948699951172 length of segment : 48 time for calcul the mask position with numpy : 7.724761962890625e-05 nb_pixel_total : 1640 time to create 1 rle with old method : 0.002157449722290039 length of segment : 48 time for calcul the mask position with numpy : 4.506111145019531e-05 nb_pixel_total : 464 time to create 1 rle with old method : 0.0006277561187744141 length of segment : 32 time for calcul the mask position with numpy : 5.1021575927734375e-05 nb_pixel_total : 914 time to create 1 rle with old method : 0.0011868476867675781 length of segment : 49 time for calcul the mask position with numpy : 4.029273986816406e-05 nb_pixel_total : 369 time to create 1 rle with old method : 0.00045371055603027344 length of segment : 46 time for calcul the mask position with numpy : 3.790855407714844e-05 nb_pixel_total : 417 time to create 1 rle with old method : 0.0006275177001953125 length of segment : 17 time for calcul the mask position with numpy : 4.0531158447265625e-05 nb_pixel_total : 756 time to create 1 rle with old method : 0.0009758472442626953 length of segment : 36 time for calcul the mask position with numpy : 3.7670135498046875e-05 nb_pixel_total : 246 time to create 1 rle with old method : 0.00039315223693847656 length of segment : 23 time for calcul the mask position with numpy : 3.218650817871094e-05 nb_pixel_total : 87 time to create 1 rle with old method : 0.00015616416931152344 length of segment : 9 time for calcul the mask position with numpy : 4.076957702636719e-05 nb_pixel_total : 840 time to create 1 rle with old method : 0.0010483264923095703 length of segment : 42 time for calcul the mask position with numpy : 4.172325134277344e-05 nb_pixel_total : 562 time to create 1 rle with old method : 0.0007631778717041016 length of segment : 31 time for calcul the mask position with numpy : 5.221366882324219e-05 nb_pixel_total : 1095 time to create 1 rle with old method : 0.0013988018035888672 length of segment : 41 time for calcul the mask position with numpy : 4.649162292480469e-05 nb_pixel_total : 861 time to create 1 rle with old method : 0.0010879039764404297 length of segment : 41 time for calcul the mask position with numpy : 3.981590270996094e-05 nb_pixel_total : 587 time to create 1 rle with old method : 0.0007176399230957031 length of segment : 35 time for calcul the mask position with numpy : 3.266334533691406e-05 nb_pixel_total : 162 time to create 1 rle with old method : 0.0002579689025878906 length of segment : 12 time for calcul the mask position with numpy : 3.0279159545898438e-05 nb_pixel_total : 210 time to create 1 rle with old method : 0.0002841949462890625 length of segment : 18 time for calcul the mask position with numpy : 8.225440979003906e-05 nb_pixel_total : 2506 time to create 1 rle with old method : 0.0030052661895751953 length of segment : 71 time for calcul the mask position with numpy : 5.53131103515625e-05 nb_pixel_total : 841 time to create 1 rle with old method : 0.0010898113250732422 length of segment : 65 time for calcul the mask position with numpy : 6.532669067382812e-05 nb_pixel_total : 990 time to create 1 rle with old method : 0.0013737678527832031 length of segment : 82 time for calcul the mask position with numpy : 3.719329833984375e-05 nb_pixel_total : 227 time to create 1 rle with old method : 0.000316619873046875 length of segment : 27 time for calcul the mask position with numpy : 3.790855407714844e-05 nb_pixel_total : 391 time to create 1 rle with old method : 0.0005197525024414062 length of segment : 26 time for calcul the mask position with numpy : 5.078315734863281e-05 nb_pixel_total : 1176 time to create 1 rle with old method : 0.0014040470123291016 length of segment : 60 time for calcul the mask position with numpy : 4.553794860839844e-05 nb_pixel_total : 850 time to create 1 rle with old method : 0.0010852813720703125 length of segment : 36 time for calcul the mask position with numpy : 3.981590270996094e-05 nb_pixel_total : 571 time to create 1 rle with old method : 0.0006730556488037109 length of segment : 32 time for calcul the mask position with numpy : 3.266334533691406e-05 nb_pixel_total : 287 time to create 1 rle with old method : 0.0003383159637451172 length of segment : 32 time for calcul the mask position with numpy : 3.8623809814453125e-05 nb_pixel_total : 584 time to create 1 rle with old method : 0.0007703304290771484 length of segment : 32 time for calcul the mask position with numpy : 3.218650817871094e-05 nb_pixel_total : 175 time to create 1 rle with old method : 0.0002532005310058594 length of segment : 18 time for calcul the mask position with numpy : 4.124641418457031e-05 nb_pixel_total : 788 time to create 1 rle with old method : 0.0009212493896484375 length of segment : 36 time for calcul the mask position with numpy : 4.410743713378906e-05 nb_pixel_total : 862 time to create 1 rle with old method : 0.0011043548583984375 length of segment : 41 time for calcul the mask position with numpy : 3.719329833984375e-05 nb_pixel_total : 250 time to create 1 rle with old method : 0.00042629241943359375 length of segment : 26 time for calcul the mask position with numpy : 6.747245788574219e-05 nb_pixel_total : 1202 time to create 1 rle with old method : 0.0014202594757080078 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: 150.97500 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 23 time for calcul the mask position with numpy : 9.226799011230469e-05 nb_pixel_total : 3059 time to create 1 rle with old method : 0.0037450790405273438 length of segment : 74 time for calcul the mask position with numpy : 0.00011444091796875 nb_pixel_total : 875 time to create 1 rle with old method : 0.0011208057403564453 length of segment : 32 time for calcul the mask position with numpy : 0.00027370452880859375 nb_pixel_total : 3222 time to create 1 rle with old method : 0.004019975662231445 length of segment : 84 time for calcul the mask position with numpy : 0.0003459453582763672 nb_pixel_total : 5590 time to create 1 rle with old method : 0.0066318511962890625 length of segment : 132 time for calcul the mask position with numpy : 9.584426879882812e-05 nb_pixel_total : 873 time to create 1 rle with old method : 0.0011143684387207031 length of segment : 35 time for calcul the mask position with numpy : 6.985664367675781e-05 nb_pixel_total : 1015 time to create 1 rle with old method : 0.0013544559478759766 length of segment : 24 time for calcul the mask position with numpy : 3.743171691894531e-05 nb_pixel_total : 353 time to create 1 rle with old method : 0.00048542022705078125 length of segment : 16 time for calcul the mask position with numpy : 6.604194641113281e-05 nb_pixel_total : 1275 time to create 1 rle with old method : 0.0016257762908935547 length of segment : 44 time for calcul the mask position with numpy : 0.00012922286987304688 nb_pixel_total : 1926 time to create 1 rle with old method : 0.002355813980102539 length of segment : 68 time for calcul the mask position with numpy : 5.340576171875e-05 nb_pixel_total : 1228 time to create 1 rle with old method : 0.0015208721160888672 length of segment : 56 time for calcul the mask position with numpy : 3.218650817871094e-05 nb_pixel_total : 286 time to create 1 rle with old method : 0.00039315223693847656 length of segment : 22 time for calcul the mask position with numpy : 3.886222839355469e-05 nb_pixel_total : 282 time to create 1 rle with old method : 0.0004286766052246094 length of segment : 20 time for calcul the mask position with numpy : 3.910064697265625e-05 nb_pixel_total : 783 time to create 1 rle with old method : 0.0010683536529541016 length of segment : 24 time for calcul the mask position with numpy : 6.079673767089844e-05 nb_pixel_total : 1845 time to create 1 rle with old method : 0.002357959747314453 length of segment : 60 time for calcul the mask position with numpy : 3.6716461181640625e-05 nb_pixel_total : 37 time to create 1 rle with old method : 8.416175842285156e-05 length of segment : 7 time for calcul the mask position with numpy : 4.76837158203125e-05 nb_pixel_total : 858 time to create 1 rle with old method : 0.0011925697326660156 length of segment : 28 time for calcul the mask position with numpy : 4.57763671875e-05 nb_pixel_total : 610 time to create 1 rle with old method : 0.00089263916015625 length of segment : 32 time for calcul the mask position with numpy : 3.838539123535156e-05 nb_pixel_total : 264 time to create 1 rle with old method : 0.000392913818359375 length of segment : 26 time for calcul the mask position with numpy : 6.389617919921875e-05 nb_pixel_total : 1090 time to create 1 rle with old method : 0.0013523101806640625 length of segment : 53 time for calcul the mask position with numpy : 5.3882598876953125e-05 nb_pixel_total : 789 time to create 1 rle with old method : 0.0010848045349121094 length of segment : 31 time for calcul the mask position with numpy : 7.319450378417969e-05 nb_pixel_total : 1843 time to create 1 rle with old method : 0.002255678176879883 length of segment : 69 time for calcul the mask position with numpy : 0.00016832351684570312 nb_pixel_total : 6119 time to create 1 rle with old method : 0.0073049068450927734 length of segment : 133 time for calcul the mask position with numpy : 4.982948303222656e-05 nb_pixel_total : 261 time to create 1 rle with old method : 0.000396728515625 length of segment : 27 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: 137.03750 image_metas shape: (1, 17) min: 0.00000 max: 640.00000 nb d'objets trouves : 5 time for calcul the mask position with numpy : 3.7670135498046875e-05 nb_pixel_total : 192 time to create 1 rle with old method : 0.0002982616424560547 length of segment : 17 time for calcul the mask position with numpy : 0.00010704994201660156 nb_pixel_total : 2875 time to create 1 rle with old method : 0.003500223159790039 length of segment : 179 time for calcul the mask position with numpy : 0.0001583099365234375 nb_pixel_total : 4326 time to create 1 rle with old method : 0.00517725944519043 length of segment : 215 time for calcul the mask position with numpy : 0.00016260147094726562 nb_pixel_total : 3972 time to create 1 rle with old method : 0.00482940673828125 length of segment : 182 time for calcul the mask position with numpy : 0.00014734268188476562 nb_pixel_total : 4559 time to create 1 rle with old method : 0.005434513092041016 length of segment : 217 Detection mask done ! Trying to reset tf kernel 2110566 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 5291 tf kernel not reseted sub process len(results) : 464 len(list_Values) 464 None max_time_sub_proc : 3600 parent process len(results) : 0 len(list_Values) 464 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 : 10583 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 464 chid ids of type : 4228 Number RLEs to save : 21183 save missing photos in datou_result : time spend for datou_step_exec : 25.818975687026978 time spend to save output : 2.7820937633514404 total time spend for step 1 : 28.601069450378418 step2:brightness Wed Oct 1 09:25:04 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/1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12.jpg treat image : temp/1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320.jpg treat image : temp/1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6.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 : 3 time used for this insertion : 0.058148860931396484 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 3 time used for this insertion : 0.035704612731933594 save missing photos in datou_result : time spend for datou_step_exec : 0.8407533168792725 time spend to save output : 0.11078810691833496 total time spend for step 2 : 0.9515414237976074 step3:blur_detection Wed Oct 1 09:25:05 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/1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12.jpg resize: (1080, 1920) 1386933428 -7.239886390844277 treat image : temp/1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320.jpg resize: (1080, 1920) 1386933424 -7.174511449433237 treat image : temp/1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6.jpg resize: (1080, 1920) 1386933420 -7.337254942458451 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 : 3 time used for this insertion : 0.03526759147644043 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 3 time used for this insertion : 0.03570246696472168 save missing photos in datou_result : time spend for datou_step_exec : 2.7207601070404053 time spend to save output : 0.08838987350463867 total time spend for step 3 : 2.809149980545044 step4:rle_unique_nms_with_priority Wed Oct 1 09:25:08 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 464 chid ids of type : 4228 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++nb_obj : 158 nb_hashtags : 5 time to prepare the origin masks : 1.0242180824279785 time for calcul the mask position with numpy : 0.0792536735534668 nb_pixel_total : 1934826 time to create 1 rle with new method : 0.29465818405151367 time for calcul the mask position with numpy : 0.007863759994506836 nb_pixel_total : 7071 time to create 1 rle with old method : 0.007683515548706055 time for calcul the mask position with numpy : 0.008378267288208008 nb_pixel_total : 88 time to create 1 rle with old method : 0.00012874603271484375 time for calcul the mask position with numpy : 0.008114099502563477 nb_pixel_total : 316 time to create 1 rle with old method : 0.00045990943908691406 time for calcul the mask position with numpy : 0.00809335708618164 nb_pixel_total : 629 time to create 1 rle with old method : 0.0006654262542724609 time for calcul the mask position with numpy : 0.008399009704589844 nb_pixel_total : 418 time to create 1 rle with old method : 0.0004856586456298828 time for calcul the mask position with numpy : 0.00798344612121582 nb_pixel_total : 94 time to create 1 rle with old method : 0.00012826919555664062 time for calcul the mask position with numpy : 0.008058786392211914 nb_pixel_total : 1835 time to create 1 rle with old method : 0.0020825862884521484 time for calcul the mask position with numpy : 0.007835149765014648 nb_pixel_total : 681 time to create 1 rle with old method : 0.0007317066192626953 time for calcul the mask position with numpy : 0.008197307586669922 nb_pixel_total : 63 time to create 1 rle with old method : 0.0001227855682373047 time for calcul the mask position with numpy : 0.008290767669677734 nb_pixel_total : 465 time to create 1 rle with old method : 0.0005021095275878906 time for calcul the mask position with numpy : 0.008182525634765625 nb_pixel_total : 64 time to create 1 rle with old method : 0.0001125335693359375 time for calcul the mask position with numpy : 0.014226675033569336 nb_pixel_total : 191 time to create 1 rle with old method : 0.00046515464782714844 time for calcul the mask position with numpy : 0.009536027908325195 nb_pixel_total : 50 time to create 1 rle with old method : 7.152557373046875e-05 time for calcul the mask position with numpy : 0.00833439826965332 nb_pixel_total : 15 time to create 1 rle with old method : 6.508827209472656e-05 time for calcul the mask position with numpy : 0.008209466934204102 nb_pixel_total : 4089 time to create 1 rle with old method : 0.004439830780029297 time for calcul the mask position with numpy : 0.008369922637939453 nb_pixel_total : 89 time to create 1 rle with old method : 0.00010442733764648438 time for calcul the mask position with numpy : 0.008215188980102539 nb_pixel_total : 1219 time to create 1 rle with old method : 0.0014069080352783203 time for calcul the mask position with numpy : 0.00826716423034668 nb_pixel_total : 805 time to create 1 rle with old method : 0.000965118408203125 time for calcul the mask position with numpy : 0.008371114730834961 nb_pixel_total : 312 time to create 1 rle with old method : 0.0003535747528076172 time for calcul the mask position with numpy : 0.00840139389038086 nb_pixel_total : 2769 time to create 1 rle with old method : 0.0030760765075683594 time for calcul the mask position with numpy : 0.00834035873413086 nb_pixel_total : 1775 time to create 1 rle with old method : 0.002001523971557617 time for calcul the mask position with numpy : 0.008394956588745117 nb_pixel_total : 1458 time to create 1 rle with old method : 0.0016505718231201172 time for calcul the mask position with numpy : 0.00841975212097168 nb_pixel_total : 115 time to create 1 rle with old method : 0.00017499923706054688 time for calcul the mask position with numpy : 0.008416414260864258 nb_pixel_total : 341 time to create 1 rle with old method : 0.000400543212890625 time for calcul the mask position with numpy : 0.008376836776733398 nb_pixel_total : 1891 time to create 1 rle with old method : 0.002140045166015625 time for calcul the mask position with numpy : 0.008426666259765625 nb_pixel_total : 615 time to create 1 rle with old method : 0.0007092952728271484 time for calcul the mask position with numpy : 0.008583784103393555 nb_pixel_total : 413 time to create 1 rle with old method : 0.0005176067352294922 time for calcul the mask position with numpy : 0.008532047271728516 nb_pixel_total : 780 time to create 1 rle with old method : 0.0009069442749023438 time for calcul the mask position with numpy : 0.010343790054321289 nb_pixel_total : 1343 time to create 1 rle with old method : 0.001542806625366211 time for calcul the mask position with numpy : 0.008492231369018555 nb_pixel_total : 619 time to create 1 rle with old method : 0.0007178783416748047 time for calcul the mask position with numpy : 0.008431434631347656 nb_pixel_total : 397 time to create 1 rle with old method : 0.0004634857177734375 time for calcul the mask position with numpy : 0.009692192077636719 nb_pixel_total : 327 time to create 1 rle with old method : 0.0005860328674316406 time for calcul the mask position with numpy : 0.010579347610473633 nb_pixel_total : 861 time to create 1 rle with old method : 0.0013401508331298828 time for calcul the mask position with numpy : 0.010346174240112305 nb_pixel_total : 624 time to create 1 rle with old method : 0.0010099411010742188 time for calcul the mask position with numpy : 0.010482549667358398 nb_pixel_total : 450 time to create 1 rle with old method : 0.0006785392761230469 time for calcul the mask position with numpy : 0.010123491287231445 nb_pixel_total : 235 time to create 1 rle with old method : 0.00028514862060546875 time for calcul the mask position with numpy : 0.00822305679321289 nb_pixel_total : 11 time to create 1 rle with old method : 4.553794860839844e-05 time for calcul the mask position with numpy : 0.008375167846679688 nb_pixel_total : 155 time to create 1 rle with old method : 0.00023674964904785156 time for calcul the mask position with numpy : 0.008201122283935547 nb_pixel_total : 161 time to create 1 rle with old method : 0.00019860267639160156 time for calcul the mask position with numpy : 0.009918451309204102 nb_pixel_total : 200 time to create 1 rle with old method : 0.00022220611572265625 time for calcul the mask position with numpy : 0.008141756057739258 nb_pixel_total : 1286 time to create 1 rle with old method : 0.0014357566833496094 time for calcul the mask position with numpy : 0.008274316787719727 nb_pixel_total : 506 time to create 1 rle with old method : 0.0005941390991210938 time for calcul the mask position with numpy : 0.008223533630371094 nb_pixel_total : 253 time to create 1 rle with old method : 0.00029730796813964844 time for calcul the mask position with numpy : 0.008360624313354492 nb_pixel_total : 1690 time to create 1 rle with old method : 0.0019202232360839844 time for calcul the mask position with numpy : 0.00842905044555664 nb_pixel_total : 170 time to create 1 rle with old method : 0.0002090930938720703 time for calcul the mask position with numpy : 0.008502960205078125 nb_pixel_total : 8 time to create 1 rle with old method : 2.6464462280273438e-05 time for calcul the mask position with numpy : 0.008144855499267578 nb_pixel_total : 457 time to create 1 rle with old method : 0.0005505084991455078 time for calcul the mask position with numpy : 0.008031606674194336 nb_pixel_total : 723 time to create 1 rle with old method : 0.0008184909820556641 time for calcul the mask position with numpy : 0.008341312408447266 nb_pixel_total : 2156 time to create 1 rle with old method : 0.0025005340576171875 time for calcul the mask position with numpy : 0.008193731307983398 nb_pixel_total : 3830 time to create 1 rle with old method : 0.0043332576751708984 time for calcul the mask position with numpy : 0.008342981338500977 nb_pixel_total : 458 time to create 1 rle with old method : 0.0005016326904296875 time for calcul the mask position with numpy : 0.008239269256591797 nb_pixel_total : 1321 time to create 1 rle with old method : 0.0013883113861083984 time for calcul the mask position with numpy : 0.008173465728759766 nb_pixel_total : 179 time to create 1 rle with old method : 0.00021409988403320312 time for calcul the mask position with numpy : 0.00836324691772461 nb_pixel_total : 4247 time to create 1 rle with old method : 0.0046885013580322266 time for calcul the mask position with numpy : 0.008105754852294922 nb_pixel_total : 731 time to create 1 rle with old method : 0.0008387565612792969 time for calcul the mask position with numpy : 0.008168935775756836 nb_pixel_total : 168 time to create 1 rle with old method : 0.000202178955078125 time for calcul the mask position with numpy : 0.008300065994262695 nb_pixel_total : 12 time to create 1 rle with old method : 4.1484832763671875e-05 time for calcul the mask position with numpy : 0.008106231689453125 nb_pixel_total : 946 time to create 1 rle with old method : 0.0010666847229003906 time for calcul the mask position with numpy : 0.008273601531982422 nb_pixel_total : 201 time to create 1 rle with old method : 0.0002815723419189453 time for calcul the mask position with numpy : 0.00812983512878418 nb_pixel_total : 690 time to create 1 rle with old method : 0.0008032321929931641 time for calcul the mask position with numpy : 0.008260726928710938 nb_pixel_total : 2730 time to create 1 rle with old method : 0.003117799758911133 time for calcul the mask position with numpy : 0.011111974716186523 nb_pixel_total : 222 time to create 1 rle with old method : 0.0003368854522705078 time for calcul the mask position with numpy : 0.010151147842407227 nb_pixel_total : 672 time to create 1 rle with old method : 0.0007119178771972656 time for calcul the mask position with numpy : 0.008418798446655273 nb_pixel_total : 208 time to create 1 rle with old method : 0.0005164146423339844 time for calcul the mask position with numpy : 0.008572816848754883 nb_pixel_total : 15 time to create 1 rle with old method : 5.745887756347656e-05 time for calcul the mask position with numpy : 0.008378744125366211 nb_pixel_total : 1056 time to create 1 rle with old method : 0.0012099742889404297 time for calcul the mask position with numpy : 0.008348464965820312 nb_pixel_total : 360 time to create 1 rle with old method : 0.00042557716369628906 time for calcul the mask position with numpy : 0.008304834365844727 nb_pixel_total : 201 time to create 1 rle with old method : 0.0002357959747314453 time for calcul the mask position with numpy : 0.008403778076171875 nb_pixel_total : 2122 time to create 1 rle with old method : 0.0024390220642089844 time for calcul the mask position with numpy : 0.008287191390991211 nb_pixel_total : 1101 time to create 1 rle with old method : 0.0011396408081054688 time for calcul the mask position with numpy : 0.00908970832824707 nb_pixel_total : 102 time to create 1 rle with old method : 0.00012803077697753906 time for calcul the mask position with numpy : 0.008467674255371094 nb_pixel_total : 3128 time to create 1 rle with old method : 0.003545522689819336 time for calcul the mask position with numpy : 0.008459329605102539 nb_pixel_total : 707 time to create 1 rle with old method : 0.0008103847503662109 time for calcul the mask position with numpy : 0.00843358039855957 nb_pixel_total : 293 time to create 1 rle with old method : 0.0003380775451660156 time for calcul the mask position with numpy : 0.008465290069580078 nb_pixel_total : 496 time to create 1 rle with old method : 0.0005922317504882812 time for calcul the mask position with numpy : 0.008453607559204102 nb_pixel_total : 3163 time to create 1 rle with old method : 0.0035965442657470703 time for calcul the mask position with numpy : 0.008486270904541016 nb_pixel_total : 174 time to create 1 rle with old method : 0.00020241737365722656 time for calcul the mask position with numpy : 0.008510589599609375 nb_pixel_total : 99 time to create 1 rle with old method : 0.00015997886657714844 time for calcul the mask position with numpy : 0.009064674377441406 nb_pixel_total : 110 time to create 1 rle with old method : 0.00018143653869628906 time for calcul the mask position with numpy : 0.009589433670043945 nb_pixel_total : 622 time to create 1 rle with old method : 0.0007314682006835938 time for calcul the mask position with numpy : 0.008442401885986328 nb_pixel_total : 374 time to create 1 rle with old method : 0.00039887428283691406 time for calcul the mask position with numpy : 0.008317232131958008 nb_pixel_total : 2708 time to create 1 rle with old method : 0.00290679931640625 time for calcul the mask position with numpy : 0.008478879928588867 nb_pixel_total : 884 time to create 1 rle with old method : 0.0009627342224121094 time for calcul the mask position with numpy : 0.008466720581054688 nb_pixel_total : 871 time to create 1 rle with old method : 0.0010135173797607422 time for calcul the mask position with numpy : 0.008320808410644531 nb_pixel_total : 279 time to create 1 rle with old method : 0.0003249645233154297 time for calcul the mask position with numpy : 0.008278608322143555 nb_pixel_total : 828 time to create 1 rle with old method : 0.0009148120880126953 time for calcul the mask position with numpy : 0.008268594741821289 nb_pixel_total : 156 time to create 1 rle with old method : 0.00018668174743652344 time for calcul the mask position with numpy : 0.008375167846679688 nb_pixel_total : 190 time to create 1 rle with old method : 0.00021076202392578125 time for calcul the mask position with numpy : 0.008228302001953125 nb_pixel_total : 3072 time to create 1 rle with old method : 0.0034475326538085938 time for calcul the mask position with numpy : 0.008311033248901367 nb_pixel_total : 905 time to create 1 rle with old method : 0.001020669937133789 time for calcul the mask position with numpy : 0.008145332336425781 nb_pixel_total : 81 time to create 1 rle with old method : 0.00010085105895996094 time for calcul the mask position with numpy : 0.00821232795715332 nb_pixel_total : 1403 time to create 1 rle with old method : 0.001575469970703125 time for calcul the mask position with numpy : 0.009357929229736328 nb_pixel_total : 226 time to create 1 rle with old method : 0.00028896331787109375 time for calcul the mask position with numpy : 0.008509159088134766 nb_pixel_total : 943 time to create 1 rle with old method : 0.0010707378387451172 time for calcul the mask position with numpy : 0.008538961410522461 nb_pixel_total : 471 time to create 1 rle with old method : 0.0005071163177490234 time for calcul the mask position with numpy : 0.008331537246704102 nb_pixel_total : 23 time to create 1 rle with old method : 0.0001289844512939453 time for calcul the mask position with numpy : 0.008278131484985352 nb_pixel_total : 1808 time to create 1 rle with old method : 0.0020189285278320312 time for calcul the mask position with numpy : 0.008483171463012695 nb_pixel_total : 383 time to create 1 rle with old method : 0.00045800209045410156 time for calcul the mask position with numpy : 0.008476972579956055 nb_pixel_total : 464 time to create 1 rle with old method : 0.0006103515625 time for calcul the mask position with numpy : 0.008539199829101562 nb_pixel_total : 760 time to create 1 rle with old method : 0.0008909702301025391 time for calcul the mask position with numpy : 0.008536100387573242 nb_pixel_total : 152 time to create 1 rle with old method : 0.0001952648162841797 time for calcul the mask position with numpy : 0.00857234001159668 nb_pixel_total : 3715 time to create 1 rle with old method : 0.004187822341918945 time for calcul the mask position with numpy : 0.00849771499633789 nb_pixel_total : 1151 time to create 1 rle with old method : 0.0013813972473144531 time for calcul the mask position with numpy : 0.008594989776611328 nb_pixel_total : 583 time to create 1 rle with old method : 0.0006959438323974609 time for calcul the mask position with numpy : 0.010010242462158203 nb_pixel_total : 325 time to create 1 rle with old method : 0.00043201446533203125 time for calcul the mask position with numpy : 0.009427309036254883 nb_pixel_total : 849 time to create 1 rle with old method : 0.0012099742889404297 time for calcul the mask position with numpy : 0.00893712043762207 nb_pixel_total : 335 time to create 1 rle with old method : 0.00040984153747558594 time for calcul the mask position with numpy : 0.008681774139404297 nb_pixel_total : 37 time to create 1 rle with old method : 8.082389831542969e-05 time for calcul the mask position with numpy : 0.008531808853149414 nb_pixel_total : 774 time to create 1 rle with old method : 0.0009031295776367188 time for calcul the mask position with numpy : 0.008523702621459961 nb_pixel_total : 45 time to create 1 rle with old method : 8.96453857421875e-05 time for calcul the mask position with numpy : 0.00851893424987793 nb_pixel_total : 539 time to create 1 rle with old method : 0.0007526874542236328 time for calcul the mask position with numpy : 0.008601665496826172 nb_pixel_total : 265 time to create 1 rle with old method : 0.00033283233642578125 time for calcul the mask position with numpy : 0.008644819259643555 nb_pixel_total : 1630 time to create 1 rle with old method : 0.0018620491027832031 time for calcul the mask position with numpy : 0.008591413497924805 nb_pixel_total : 1403 time to create 1 rle with old method : 0.0015063285827636719 time for calcul the mask position with numpy : 0.00834512710571289 nb_pixel_total : 1158 time to create 1 rle with old method : 0.0012896060943603516 time for calcul the mask position with numpy : 0.008183479309082031 nb_pixel_total : 1009 time to create 1 rle with old method : 0.0012180805206298828 time for calcul the mask position with numpy : 0.009117364883422852 nb_pixel_total : 522 time to create 1 rle with old method : 0.0006089210510253906 time for calcul the mask position with numpy : 0.008250951766967773 nb_pixel_total : 1306 time to create 1 rle with old method : 0.0015320777893066406 time for calcul the mask position with numpy : 0.00829315185546875 nb_pixel_total : 94 time to create 1 rle with old method : 0.00015473365783691406 time for calcul the mask position with numpy : 0.008413314819335938 nb_pixel_total : 1129 time to create 1 rle with old method : 0.0011827945709228516 time for calcul the mask position with numpy : 0.008141517639160156 nb_pixel_total : 3074 time to create 1 rle with old method : 0.0034635066986083984 time for calcul the mask position with numpy : 0.007976531982421875 nb_pixel_total : 1689 time to create 1 rle with old method : 0.0018610954284667969 time for calcul the mask position with numpy : 0.008209705352783203 nb_pixel_total : 840 time to create 1 rle with old method : 0.0009698867797851562 time for calcul the mask position with numpy : 0.007845640182495117 nb_pixel_total : 737 time to create 1 rle with old method : 0.0007643699645996094 time for calcul the mask position with numpy : 0.008343219757080078 nb_pixel_total : 570 time to create 1 rle with old method : 0.0006480216979980469 time for calcul the mask position with numpy : 0.008436203002929688 nb_pixel_total : 2584 time to create 1 rle with old method : 0.002887725830078125 time for calcul the mask position with numpy : 0.008542776107788086 nb_pixel_total : 3083 time to create 1 rle with old method : 0.0033969879150390625 time for calcul the mask position with numpy : 0.008331060409545898 nb_pixel_total : 258 time to create 1 rle with old method : 0.0002961158752441406 time for calcul the mask position with numpy : 0.008689641952514648 nb_pixel_total : 829 time to create 1 rle with old method : 0.0013930797576904297 time for calcul the mask position with numpy : 0.009662866592407227 nb_pixel_total : 75 time to create 1 rle with old method : 0.00014019012451171875 time for calcul the mask position with numpy : 0.009593963623046875 nb_pixel_total : 998 time to create 1 rle with old method : 0.0016524791717529297 time for calcul the mask position with numpy : 0.009575843811035156 nb_pixel_total : 1726 time to create 1 rle with old method : 0.0028090476989746094 time for calcul the mask position with numpy : 0.009655475616455078 nb_pixel_total : 192 time to create 1 rle with old method : 0.00032401084899902344 time for calcul the mask position with numpy : 0.009629487991333008 nb_pixel_total : 310 time to create 1 rle with old method : 0.0005199909210205078 time for calcul the mask position with numpy : 0.009623289108276367 nb_pixel_total : 536 time to create 1 rle with old method : 0.0008769035339355469 time for calcul the mask position with numpy : 0.009641647338867188 nb_pixel_total : 98 time to create 1 rle with old method : 0.00016808509826660156 time for calcul the mask position with numpy : 0.009389638900756836 nb_pixel_total : 420 time to create 1 rle with old method : 0.00048232078552246094 time for calcul the mask position with numpy : 0.008302927017211914 nb_pixel_total : 865 time to create 1 rle with old method : 0.0009467601776123047 time for calcul the mask position with numpy : 0.008192062377929688 nb_pixel_total : 1260 time to create 1 rle with old method : 0.0014164447784423828 time for calcul the mask position with numpy : 0.008471488952636719 nb_pixel_total : 417 time to create 1 rle with old method : 0.0005831718444824219 time for calcul the mask position with numpy : 0.009271621704101562 nb_pixel_total : 1269 time to create 1 rle with old method : 0.0013725757598876953 time for calcul the mask position with numpy : 0.008606433868408203 nb_pixel_total : 129 time to create 1 rle with old method : 0.0001685619354248047 time for calcul the mask position with numpy : 0.008203268051147461 nb_pixel_total : 1256 time to create 1 rle with old method : 0.0013396739959716797 time for calcul the mask position with numpy : 0.008192777633666992 nb_pixel_total : 774 time to create 1 rle with old method : 0.0008866786956787109 time for calcul the mask position with numpy : 0.008144617080688477 nb_pixel_total : 770 time to create 1 rle with old method : 0.0009112358093261719 time for calcul the mask position with numpy : 0.008137702941894531 nb_pixel_total : 190 time to create 1 rle with old method : 0.0002262592315673828 time for calcul the mask position with numpy : 0.008449077606201172 nb_pixel_total : 130 time to create 1 rle with old method : 0.00016355514526367188 time for calcul the mask position with numpy : 0.008542299270629883 nb_pixel_total : 55 time to create 1 rle with old method : 0.00011491775512695312 time for calcul the mask position with numpy : 0.008644819259643555 nb_pixel_total : 2140 time to create 1 rle with old method : 0.0024666786193847656 time for calcul the mask position with numpy : 0.008663177490234375 nb_pixel_total : 210 time to create 1 rle with old method : 0.00031375885009765625 time for calcul the mask position with numpy : 0.00866079330444336 nb_pixel_total : 987 time to create 1 rle with old method : 0.0011396408081054688 time for calcul the mask position with numpy : 0.00858926773071289 nb_pixel_total : 29 time to create 1 rle with old method : 7.843971252441406e-05 time for calcul the mask position with numpy : 0.008725404739379883 nb_pixel_total : 1417 time to create 1 rle with old method : 0.0016322135925292969 time for calcul the mask position with numpy : 0.008707523345947266 nb_pixel_total : 821 time to create 1 rle with old method : 0.0010497570037841797 time for calcul the mask position with numpy : 0.008721113204956055 nb_pixel_total : 711 time to create 1 rle with old method : 0.0008440017700195312 time for calcul the mask position with numpy : 0.008651018142700195 nb_pixel_total : 525 time to create 1 rle with old method : 0.0006299018859863281 time for calcul the mask position with numpy : 0.013425827026367188 nb_pixel_total : 1167 time to create 1 rle with old method : 0.001382589340209961 time for calcul the mask position with numpy : 0.008536100387573242 nb_pixel_total : 136 time to create 1 rle with old method : 0.000179290771484375 create new chi : 1.9194180965423584 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 : 0.0537111759185791 batch 1 Loaded 159 chid ids of type : 4230 Number RLEs to save : 13361 TO DO : save crop sub photo not yet done ! save time : 1.4213645458221436 nb_obj : 154 nb_hashtags : 5 time to prepare the origin masks : 2.428232192993164 time for calcul the mask position with numpy : 0.03394675254821777 nb_pixel_total : 1928934 time to create 1 rle with new method : 0.6077854633331299 time for calcul the mask position with numpy : 0.00609278678894043 nb_pixel_total : 4884 time to create 1 rle with old method : 0.005326986312866211 time for calcul the mask position with numpy : 0.008074522018432617 nb_pixel_total : 396 time to create 1 rle with old method : 0.0004589557647705078 time for calcul the mask position with numpy : 0.005945444107055664 nb_pixel_total : 1921 time to create 1 rle with old method : 0.0020761489868164062 time for calcul the mask position with numpy : 0.005747556686401367 nb_pixel_total : 293 time to create 1 rle with old method : 0.00032973289489746094 time for calcul the mask position with numpy : 0.00584101676940918 nb_pixel_total : 78 time to create 1 rle with old method : 0.00012993812561035156 time for calcul the mask position with numpy : 0.005890846252441406 nb_pixel_total : 63 time to create 1 rle with old method : 0.00010395050048828125 time for calcul the mask position with numpy : 0.005867958068847656 nb_pixel_total : 539 time to create 1 rle with old method : 0.0005936622619628906 time for calcul the mask position with numpy : 0.00788426399230957 nb_pixel_total : 12 time to create 1 rle with old method : 3.600120544433594e-05 time for calcul the mask position with numpy : 0.006330728530883789 nb_pixel_total : 231 time to create 1 rle with old method : 0.0002734661102294922 time for calcul the mask position with numpy : 0.00588679313659668 nb_pixel_total : 25 time to create 1 rle with old method : 7.486343383789062e-05 time for calcul the mask position with numpy : 0.0057942867279052734 nb_pixel_total : 30 time to create 1 rle with old method : 5.14984130859375e-05 time for calcul the mask position with numpy : 0.005754947662353516 nb_pixel_total : 125 time to create 1 rle with old method : 0.00015807151794433594 time for calcul the mask position with numpy : 0.006317615509033203 nb_pixel_total : 328 time to create 1 rle with old method : 0.00039958953857421875 time for calcul the mask position with numpy : 0.0062830448150634766 nb_pixel_total : 3173 time to create 1 rle with old method : 0.0034265518188476562 time for calcul the mask position with numpy : 0.006355762481689453 nb_pixel_total : 7536 time to create 1 rle with old method : 0.008237123489379883 time for calcul the mask position with numpy : 0.0060882568359375 nb_pixel_total : 1840 time to create 1 rle with old method : 0.0020706653594970703 time for calcul the mask position with numpy : 0.00601506233215332 nb_pixel_total : 826 time to create 1 rle with old method : 0.0009322166442871094 time for calcul the mask position with numpy : 0.005879640579223633 nb_pixel_total : 1594 time to create 1 rle with old method : 0.001737356185913086 time for calcul the mask position with numpy : 0.009190559387207031 nb_pixel_total : 1890 time to create 1 rle with old method : 0.002140045166015625 time for calcul the mask position with numpy : 0.00818014144897461 nb_pixel_total : 544 time to create 1 rle with old method : 0.0006432533264160156 time for calcul the mask position with numpy : 0.00945591926574707 nb_pixel_total : 1863 time to create 1 rle with old method : 0.0021982192993164062 time for calcul the mask position with numpy : 0.009537458419799805 nb_pixel_total : 275 time to create 1 rle with old method : 0.0003285408020019531 time for calcul the mask position with numpy : 0.009956121444702148 nb_pixel_total : 3421 time to create 1 rle with old method : 0.0037238597869873047 time for calcul the mask position with numpy : 0.009432554244995117 nb_pixel_total : 378 time to create 1 rle with old method : 0.0004210472106933594 time for calcul the mask position with numpy : 0.00994563102722168 nb_pixel_total : 409 time to create 1 rle with old method : 0.0005426406860351562 time for calcul the mask position with numpy : 0.009904623031616211 nb_pixel_total : 1043 time to create 1 rle with old method : 0.0011861324310302734 time for calcul the mask position with numpy : 0.011200428009033203 nb_pixel_total : 613 time to create 1 rle with old method : 0.0006678104400634766 time for calcul the mask position with numpy : 0.009538650512695312 nb_pixel_total : 333 time to create 1 rle with old method : 0.0004048347473144531 time for calcul the mask position with numpy : 0.009566307067871094 nb_pixel_total : 589 time to create 1 rle with old method : 0.0006756782531738281 time for calcul the mask position with numpy : 0.009948492050170898 nb_pixel_total : 1602 time to create 1 rle with old method : 0.0018260478973388672 time for calcul the mask position with numpy : 0.010071277618408203 nb_pixel_total : 615 time to create 1 rle with old method : 0.0007305145263671875 time for calcul the mask position with numpy : 0.010133504867553711 nb_pixel_total : 15 time to create 1 rle with old method : 3.814697265625e-05 time for calcul the mask position with numpy : 0.010188102722167969 nb_pixel_total : 64 time to create 1 rle with old method : 9.202957153320312e-05 time for calcul the mask position with numpy : 0.009818553924560547 nb_pixel_total : 837 time to create 1 rle with old method : 0.0009658336639404297 time for calcul the mask position with numpy : 0.014961004257202148 nb_pixel_total : 1433 time to create 1 rle with old method : 0.0019483566284179688 time for calcul the mask position with numpy : 0.01182413101196289 nb_pixel_total : 625 time to create 1 rle with old method : 0.0008423328399658203 time for calcul the mask position with numpy : 0.011293649673461914 nb_pixel_total : 42 time to create 1 rle with old method : 0.00011372566223144531 time for calcul the mask position with numpy : 0.010101556777954102 nb_pixel_total : 20 time to create 1 rle with old method : 8.416175842285156e-05 time for calcul the mask position with numpy : 0.009936332702636719 nb_pixel_total : 599 time to create 1 rle with old method : 0.0007183551788330078 time for calcul the mask position with numpy : 0.010052680969238281 nb_pixel_total : 773 time to create 1 rle with old method : 0.0008678436279296875 time for calcul the mask position with numpy : 0.009867429733276367 nb_pixel_total : 160 time to create 1 rle with old method : 0.00020360946655273438 time for calcul the mask position with numpy : 0.011313199996948242 nb_pixel_total : 9 time to create 1 rle with old method : 4.124641418457031e-05 time for calcul the mask position with numpy : 0.010531425476074219 nb_pixel_total : 267 time to create 1 rle with old method : 0.00041794776916503906 time for calcul the mask position with numpy : 0.012959957122802734 nb_pixel_total : 330 time to create 1 rle with old method : 0.00048422813415527344 time for calcul the mask position with numpy : 0.013163328170776367 nb_pixel_total : 234 time to create 1 rle with old method : 0.0003275871276855469 time for calcul the mask position with numpy : 0.010431289672851562 nb_pixel_total : 165 time to create 1 rle with old method : 0.0002524852752685547 time for calcul the mask position with numpy : 0.012396097183227539 nb_pixel_total : 487 time to create 1 rle with old method : 0.0006906986236572266 time for calcul the mask position with numpy : 0.010866165161132812 nb_pixel_total : 4010 time to create 1 rle with old method : 0.0056307315826416016 time for calcul the mask position with numpy : 0.009457588195800781 nb_pixel_total : 200 time to create 1 rle with old method : 0.00031304359436035156 time for calcul the mask position with numpy : 0.011980295181274414 nb_pixel_total : 638 time to create 1 rle with old method : 0.0009970664978027344 time for calcul the mask position with numpy : 0.013659000396728516 nb_pixel_total : 183 time to create 1 rle with old method : 0.0003085136413574219 time for calcul the mask position with numpy : 0.014647960662841797 nb_pixel_total : 845 time to create 1 rle with old method : 0.0009720325469970703 time for calcul the mask position with numpy : 0.010138273239135742 nb_pixel_total : 1226 time to create 1 rle with old method : 0.0013744831085205078 time for calcul the mask position with numpy : 0.009633064270019531 nb_pixel_total : 3791 time to create 1 rle with old method : 0.004119396209716797 time for calcul the mask position with numpy : 0.009110689163208008 nb_pixel_total : 5614 time to create 1 rle with old method : 0.00595402717590332 time for calcul the mask position with numpy : 0.009282350540161133 nb_pixel_total : 473 time to create 1 rle with old method : 0.0005662441253662109 time for calcul the mask position with numpy : 0.008987903594970703 nb_pixel_total : 320 time to create 1 rle with old method : 0.0003523826599121094 time for calcul the mask position with numpy : 0.0098876953125 nb_pixel_total : 543 time to create 1 rle with old method : 0.0006330013275146484 time for calcul the mask position with numpy : 0.009613513946533203 nb_pixel_total : 189 time to create 1 rle with old method : 0.00026607513427734375 time for calcul the mask position with numpy : 0.00988459587097168 nb_pixel_total : 160 time to create 1 rle with old method : 0.00020456314086914062 time for calcul the mask position with numpy : 0.009572267532348633 nb_pixel_total : 1486 time to create 1 rle with old method : 0.0016248226165771484 time for calcul the mask position with numpy : 0.009555339813232422 nb_pixel_total : 5040 time to create 1 rle with old method : 0.005567789077758789 time for calcul the mask position with numpy : 0.009694814682006836 nb_pixel_total : 206 time to create 1 rle with old method : 0.00023818016052246094 time for calcul the mask position with numpy : 0.009749412536621094 nb_pixel_total : 408 time to create 1 rle with old method : 0.0004754066467285156 time for calcul the mask position with numpy : 0.009766817092895508 nb_pixel_total : 873 time to create 1 rle with old method : 0.0009701251983642578 time for calcul the mask position with numpy : 0.006708383560180664 nb_pixel_total : 580 time to create 1 rle with old method : 0.0006387233734130859 time for calcul the mask position with numpy : 0.005873918533325195 nb_pixel_total : 2790 time to create 1 rle with old method : 0.003078937530517578 time for calcul the mask position with numpy : 0.005999565124511719 nb_pixel_total : 8 time to create 1 rle with old method : 3.504753112792969e-05 time for calcul the mask position with numpy : 0.006002664566040039 nb_pixel_total : 248 time to create 1 rle with old method : 0.0002803802490234375 time for calcul the mask position with numpy : 0.005865573883056641 nb_pixel_total : 1401 time to create 1 rle with old method : 0.001710653305053711 time for calcul the mask position with numpy : 0.005838155746459961 nb_pixel_total : 221 time to create 1 rle with old method : 0.00027632713317871094 time for calcul the mask position with numpy : 0.005871772766113281 nb_pixel_total : 33 time to create 1 rle with old method : 5.984306335449219e-05 time for calcul the mask position with numpy : 0.005987644195556641 nb_pixel_total : 248 time to create 1 rle with old method : 0.0003159046173095703 time for calcul the mask position with numpy : 0.005861759185791016 nb_pixel_total : 309 time to create 1 rle with old method : 0.0003726482391357422 time for calcul the mask position with numpy : 0.0062639713287353516 nb_pixel_total : 131 time to create 1 rle with old method : 0.00016069412231445312 time for calcul the mask position with numpy : 0.005880117416381836 nb_pixel_total : 1353 time to create 1 rle with old method : 0.0015494823455810547 time for calcul the mask position with numpy : 0.005710601806640625 nb_pixel_total : 580 time to create 1 rle with old method : 0.0006422996520996094 time for calcul the mask position with numpy : 0.005950450897216797 nb_pixel_total : 36 time to create 1 rle with old method : 7.224082946777344e-05 time for calcul the mask position with numpy : 0.005913734436035156 nb_pixel_total : 247 time to create 1 rle with old method : 0.0002703666687011719 time for calcul the mask position with numpy : 0.006221294403076172 nb_pixel_total : 1460 time to create 1 rle with old method : 0.001634359359741211 time for calcul the mask position with numpy : 0.0058290958404541016 nb_pixel_total : 423 time to create 1 rle with old method : 0.000476837158203125 time for calcul the mask position with numpy : 0.005949497222900391 nb_pixel_total : 896 time to create 1 rle with old method : 0.0010790824890136719 time for calcul the mask position with numpy : 0.0059049129486083984 nb_pixel_total : 1189 time to create 1 rle with old method : 0.0014231204986572266 time for calcul the mask position with numpy : 0.006059885025024414 nb_pixel_total : 636 time to create 1 rle with old method : 0.0007660388946533203 time for calcul the mask position with numpy : 0.0060117244720458984 nb_pixel_total : 1693 time to create 1 rle with old method : 0.001956939697265625 time for calcul the mask position with numpy : 0.0057506561279296875 nb_pixel_total : 19 time to create 1 rle with old method : 8.845329284667969e-05 time for calcul the mask position with numpy : 0.005980968475341797 nb_pixel_total : 327 time to create 1 rle with old method : 0.0003886222839355469 time for calcul the mask position with numpy : 0.005950212478637695 nb_pixel_total : 1293 time to create 1 rle with old method : 0.0014901161193847656 time for calcul the mask position with numpy : 0.005973100662231445 nb_pixel_total : 1719 time to create 1 rle with old method : 0.0019218921661376953 time for calcul the mask position with numpy : 0.006011247634887695 nb_pixel_total : 849 time to create 1 rle with old method : 0.0009839534759521484 time for calcul the mask position with numpy : 0.005812406539916992 nb_pixel_total : 1 time to create 1 rle with old method : 2.0265579223632812e-05 time for calcul the mask position with numpy : 0.006118059158325195 nb_pixel_total : 854 time to create 1 rle with old method : 0.0010042190551757812 time for calcul the mask position with numpy : 0.006245851516723633 nb_pixel_total : 210 time to create 1 rle with old method : 0.0002613067626953125 time for calcul the mask position with numpy : 0.0061113834381103516 nb_pixel_total : 327 time to create 1 rle with old method : 0.00043892860412597656 time for calcul the mask position with numpy : 0.0060787200927734375 nb_pixel_total : 2984 time to create 1 rle with old method : 0.0034036636352539062 time for calcul the mask position with numpy : 0.006138324737548828 nb_pixel_total : 1095 time to create 1 rle with old method : 0.0012803077697753906 time for calcul the mask position with numpy : 0.006179332733154297 nb_pixel_total : 1778 time to create 1 rle with old method : 0.002107381820678711 time for calcul the mask position with numpy : 0.0061953067779541016 nb_pixel_total : 795 time to create 1 rle with old method : 0.0009598731994628906 time for calcul the mask position with numpy : 0.006195068359375 nb_pixel_total : 141 time to create 1 rle with old method : 0.0001780986785888672 time for calcul the mask position with numpy : 0.006218910217285156 nb_pixel_total : 181 time to create 1 rle with old method : 0.0002269744873046875 time for calcul the mask position with numpy : 0.006211757659912109 nb_pixel_total : 373 time to create 1 rle with old method : 0.0004563331604003906 time for calcul the mask position with numpy : 0.006068229675292969 nb_pixel_total : 494 time to create 1 rle with old method : 0.0006003379821777344 time for calcul the mask position with numpy : 0.0062253475189208984 nb_pixel_total : 5540 time to create 1 rle with old method : 0.006151914596557617 time for calcul the mask position with numpy : 0.0062868595123291016 nb_pixel_total : 2829 time to create 1 rle with old method : 0.0030059814453125 time for calcul the mask position with numpy : 0.0074520111083984375 nb_pixel_total : 969 time to create 1 rle with old method : 0.0011174678802490234 time for calcul the mask position with numpy : 0.0060346126556396484 nb_pixel_total : 378 time to create 1 rle with old method : 0.00044608116149902344 time for calcul the mask position with numpy : 0.006091117858886719 nb_pixel_total : 792 time to create 1 rle with old method : 0.00091552734375 time for calcul the mask position with numpy : 0.006490468978881836 nb_pixel_total : 369 time to create 1 rle with old method : 0.0004458427429199219 time for calcul the mask position with numpy : 0.009408950805664062 nb_pixel_total : 371 time to create 1 rle with old method : 0.0007371902465820312 time for calcul the mask position with numpy : 0.007600545883178711 nb_pixel_total : 262 time to create 1 rle with old method : 0.0003924369812011719 time for calcul the mask position with numpy : 0.0077457427978515625 nb_pixel_total : 5318 time to create 1 rle with old method : 0.0059239864349365234 time for calcul the mask position with numpy : 0.006013154983520508 nb_pixel_total : 743 time to create 1 rle with old method : 0.0008575916290283203 time for calcul the mask position with numpy : 0.0060389041900634766 nb_pixel_total : 296 time to create 1 rle with old method : 0.0003311634063720703 time for calcul the mask position with numpy : 0.005947589874267578 nb_pixel_total : 246 time to create 1 rle with old method : 0.00029921531677246094 time for calcul the mask position with numpy : 0.00601959228515625 nb_pixel_total : 328 time to create 1 rle with old method : 0.00039696693420410156 time for calcul the mask position with numpy : 0.0063703060150146484 nb_pixel_total : 79 time to create 1 rle with old method : 0.00010895729064941406 time for calcul the mask position with numpy : 0.006134748458862305 nb_pixel_total : 37 time to create 1 rle with old method : 7.82012939453125e-05 time for calcul the mask position with numpy : 0.006007671356201172 nb_pixel_total : 1394 time to create 1 rle with old method : 0.0015807151794433594 time for calcul the mask position with numpy : 0.006112575531005859 nb_pixel_total : 1181 time to create 1 rle with old method : 0.0013206005096435547 time for calcul the mask position with numpy : 0.0059108734130859375 nb_pixel_total : 565 time to create 1 rle with old method : 0.0006954669952392578 time for calcul the mask position with numpy : 0.006211280822753906 nb_pixel_total : 1768 time to create 1 rle with old method : 0.0020346641540527344 time for calcul the mask position with numpy : 0.006006002426147461 nb_pixel_total : 4499 time to create 1 rle with old method : 0.0051174163818359375 time for calcul the mask position with numpy : 0.006107330322265625 nb_pixel_total : 636 time to create 1 rle with old method : 0.0007572174072265625 time for calcul the mask position with numpy : 0.006268739700317383 nb_pixel_total : 747 time to create 1 rle with old method : 0.0008716583251953125 time for calcul the mask position with numpy : 0.006352424621582031 nb_pixel_total : 848 time to create 1 rle with old method : 0.0010268688201904297 time for calcul the mask position with numpy : 0.006666660308837891 nb_pixel_total : 224 time to create 1 rle with old method : 0.0002827644348144531 time for calcul the mask position with numpy : 0.006336212158203125 nb_pixel_total : 627 time to create 1 rle with old method : 0.0007259845733642578 time for calcul the mask position with numpy : 0.0063550472259521484 nb_pixel_total : 264 time to create 1 rle with old method : 0.00032210350036621094 time for calcul the mask position with numpy : 0.006668567657470703 nb_pixel_total : 559 time to create 1 rle with old method : 0.0006649494171142578 time for calcul the mask position with numpy : 0.0065228939056396484 nb_pixel_total : 511 time to create 1 rle with old method : 0.0006096363067626953 time for calcul the mask position with numpy : 0.00642848014831543 nb_pixel_total : 87 time to create 1 rle with old method : 0.00012350082397460938 time for calcul the mask position with numpy : 0.006421327590942383 nb_pixel_total : 962 time to create 1 rle with old method : 0.0011205673217773438 time for calcul the mask position with numpy : 0.006559610366821289 nb_pixel_total : 1621 time to create 1 rle with old method : 0.0018725395202636719 time for calcul the mask position with numpy : 0.006316184997558594 nb_pixel_total : 212 time to create 1 rle with old method : 0.00026345252990722656 time for calcul the mask position with numpy : 0.0062448978424072266 nb_pixel_total : 1054 time to create 1 rle with old method : 0.0012631416320800781 time for calcul the mask position with numpy : 0.0064470767974853516 nb_pixel_total : 1260 time to create 1 rle with old method : 0.0014591217041015625 time for calcul the mask position with numpy : 0.0063629150390625 nb_pixel_total : 148 time to create 1 rle with old method : 0.00018548965454101562 time for calcul the mask position with numpy : 0.006467342376708984 nb_pixel_total : 451 time to create 1 rle with old method : 0.0005550384521484375 time for calcul the mask position with numpy : 0.006448984146118164 nb_pixel_total : 457 time to create 1 rle with old method : 0.0005617141723632812 time for calcul the mask position with numpy : 0.006448984146118164 nb_pixel_total : 17 time to create 1 rle with old method : 5.626678466796875e-05 time for calcul the mask position with numpy : 0.0061070919036865234 nb_pixel_total : 1145 time to create 1 rle with old method : 0.0013003349304199219 time for calcul the mask position with numpy : 0.005818367004394531 nb_pixel_total : 162 time to create 1 rle with old method : 0.00019478797912597656 time for calcul the mask position with numpy : 0.006033897399902344 nb_pixel_total : 1735 time to create 1 rle with old method : 0.0018742084503173828 time for calcul the mask position with numpy : 0.005939006805419922 nb_pixel_total : 1324 time to create 1 rle with old method : 0.0014204978942871094 time for calcul the mask position with numpy : 0.006115436553955078 nb_pixel_total : 10 time to create 1 rle with old method : 6.103515625e-05 time for calcul the mask position with numpy : 0.005886077880859375 nb_pixel_total : 234 time to create 1 rle with old method : 0.00029540061950683594 time for calcul the mask position with numpy : 0.005986690521240234 nb_pixel_total : 158 time to create 1 rle with old method : 0.00021529197692871094 time for calcul the mask position with numpy : 0.006044626235961914 nb_pixel_total : 834 time to create 1 rle with old method : 0.00090789794921875 time for calcul the mask position with numpy : 0.005749940872192383 nb_pixel_total : 138 time to create 1 rle with old method : 0.0001857280731201172 time for calcul the mask position with numpy : 0.005717277526855469 nb_pixel_total : 524 time to create 1 rle with old method : 0.0005745887756347656 time for calcul the mask position with numpy : 0.006047248840332031 nb_pixel_total : 622 time to create 1 rle with old method : 0.0007932186126708984 time for calcul the mask position with numpy : 0.005847930908203125 nb_pixel_total : 1156 time to create 1 rle with old method : 0.0012135505676269531 time for calcul the mask position with numpy : 0.00584101676940918 nb_pixel_total : 198 time to create 1 rle with old method : 0.00023889541625976562 time for calcul the mask position with numpy : 0.005683422088623047 nb_pixel_total : 121 time to create 1 rle with old method : 0.000156402587890625 create new chi : 1.9673421382904053 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 : 0.005314350128173828 batch 1 Loaded 155 chid ids of type : 4230 Number RLEs to save : 13403 TO DO : save crop sub photo not yet done ! save time : 1.4337577819824219 nb_obj : 148 nb_hashtags : 6 time to prepare the origin masks : 1.355510950088501 time for calcul the mask position with numpy : 0.018431901931762695 nb_pixel_total : 1941036 time to create 1 rle with new method : 0.03325390815734863 time for calcul the mask position with numpy : 0.006133317947387695 nb_pixel_total : 2896 time to create 1 rle with old method : 0.0031402111053466797 time for calcul the mask position with numpy : 0.005697011947631836 nb_pixel_total : 408 time to create 1 rle with old method : 0.0004818439483642578 time for calcul the mask position with numpy : 0.005721092224121094 nb_pixel_total : 2087 time to create 1 rle with old method : 0.0022766590118408203 time for calcul the mask position with numpy : 0.005805492401123047 nb_pixel_total : 303 time to create 1 rle with old method : 0.00034236907958984375 time for calcul the mask position with numpy : 0.0059888362884521484 nb_pixel_total : 78 time to create 1 rle with old method : 0.000118255615234375 time for calcul the mask position with numpy : 0.005751609802246094 nb_pixel_total : 806 time to create 1 rle with old method : 0.0009622573852539062 time for calcul the mask position with numpy : 0.005703449249267578 nb_pixel_total : 147 time to create 1 rle with old method : 0.00018072128295898438 time for calcul the mask position with numpy : 0.005934000015258789 nb_pixel_total : 124 time to create 1 rle with old method : 0.00019216537475585938 time for calcul the mask position with numpy : 0.0058498382568359375 nb_pixel_total : 855 time to create 1 rle with old method : 0.0009872913360595703 time for calcul the mask position with numpy : 0.005755186080932617 nb_pixel_total : 138 time to create 1 rle with old method : 0.00019621849060058594 time for calcul the mask position with numpy : 0.005896091461181641 nb_pixel_total : 4909 time to create 1 rle with old method : 0.0053005218505859375 time for calcul the mask position with numpy : 0.005964994430541992 nb_pixel_total : 4032 time to create 1 rle with old method : 0.0044193267822265625 time for calcul the mask position with numpy : 0.005999326705932617 nb_pixel_total : 1638 time to create 1 rle with old method : 0.0017576217651367188 time for calcul the mask position with numpy : 0.005640983581542969 nb_pixel_total : 517 time to create 1 rle with old method : 0.0006003379821777344 time for calcul the mask position with numpy : 0.005986213684082031 nb_pixel_total : 755 time to create 1 rle with old method : 0.0008587837219238281 time for calcul the mask position with numpy : 0.005997657775878906 nb_pixel_total : 249 time to create 1 rle with old method : 0.0002923011779785156 time for calcul the mask position with numpy : 0.005689144134521484 nb_pixel_total : 770 time to create 1 rle with old method : 0.0009076595306396484 time for calcul the mask position with numpy : 0.005771636962890625 nb_pixel_total : 3026 time to create 1 rle with old method : 0.0033249855041503906 time for calcul the mask position with numpy : 0.0059278011322021484 nb_pixel_total : 588 time to create 1 rle with old method : 0.0007278919219970703 time for calcul the mask position with numpy : 0.005860090255737305 nb_pixel_total : 1195 time to create 1 rle with old method : 0.0013315677642822266 time for calcul the mask position with numpy : 0.005727291107177734 nb_pixel_total : 1300 time to create 1 rle with old method : 0.0013892650604248047 time for calcul the mask position with numpy : 0.005898475646972656 nb_pixel_total : 32 time to create 1 rle with old method : 0.00010251998901367188 time for calcul the mask position with numpy : 0.0059397220611572266 nb_pixel_total : 1100 time to create 1 rle with old method : 0.0013127326965332031 time for calcul the mask position with numpy : 0.005789518356323242 nb_pixel_total : 657 time to create 1 rle with old method : 0.0007145404815673828 time for calcul the mask position with numpy : 0.0058231353759765625 nb_pixel_total : 2143 time to create 1 rle with old method : 0.002447843551635742 time for calcul the mask position with numpy : 0.005898237228393555 nb_pixel_total : 439 time to create 1 rle with old method : 0.0005099773406982422 time for calcul the mask position with numpy : 0.006013154983520508 nb_pixel_total : 784 time to create 1 rle with old method : 0.0009443759918212891 time for calcul the mask position with numpy : 0.005877971649169922 nb_pixel_total : 578 time to create 1 rle with old method : 0.0006732940673828125 time for calcul the mask position with numpy : 0.00577545166015625 nb_pixel_total : 44 time to create 1 rle with old method : 9.894371032714844e-05 time for calcul the mask position with numpy : 0.0057103633880615234 nb_pixel_total : 112 time to create 1 rle with old method : 0.0001373291015625 time for calcul the mask position with numpy : 0.006009101867675781 nb_pixel_total : 3115 time to create 1 rle with old method : 0.0035676956176757812 time for calcul the mask position with numpy : 0.005803346633911133 nb_pixel_total : 715 time to create 1 rle with old method : 0.0007665157318115234 time for calcul the mask position with numpy : 0.00561976432800293 nb_pixel_total : 126 time to create 1 rle with old method : 0.00015306472778320312 time for calcul the mask position with numpy : 0.005546092987060547 nb_pixel_total : 76 time to create 1 rle with old method : 9.775161743164062e-05 time for calcul the mask position with numpy : 0.00579380989074707 nb_pixel_total : 170 time to create 1 rle with old method : 0.00020241737365722656 time for calcul the mask position with numpy : 0.005902290344238281 nb_pixel_total : 542 time to create 1 rle with old method : 0.0006330013275146484 time for calcul the mask position with numpy : 0.005654335021972656 nb_pixel_total : 545 time to create 1 rle with old method : 0.000621795654296875 time for calcul the mask position with numpy : 0.0071735382080078125 nb_pixel_total : 479 time to create 1 rle with old method : 0.0005552768707275391 time for calcul the mask position with numpy : 0.005947589874267578 nb_pixel_total : 756 time to create 1 rle with old method : 0.0008902549743652344 time for calcul the mask position with numpy : 0.005879402160644531 nb_pixel_total : 174 time to create 1 rle with old method : 0.00021791458129882812 time for calcul the mask position with numpy : 0.005609989166259766 nb_pixel_total : 519 time to create 1 rle with old method : 0.000576019287109375 time for calcul the mask position with numpy : 0.0056610107421875 nb_pixel_total : 13 time to create 1 rle with old method : 3.62396240234375e-05 time for calcul the mask position with numpy : 0.005942106246948242 nb_pixel_total : 841 time to create 1 rle with old method : 0.0009520053863525391 time for calcul the mask position with numpy : 0.005911827087402344 nb_pixel_total : 2005 time to create 1 rle with old method : 0.002320528030395508 time for calcul the mask position with numpy : 0.005966663360595703 nb_pixel_total : 3661 time to create 1 rle with old method : 0.003997802734375 time for calcul the mask position with numpy : 0.005800008773803711 nb_pixel_total : 848 time to create 1 rle with old method : 0.00102996826171875 time for calcul the mask position with numpy : 0.006271839141845703 nb_pixel_total : 5459 time to create 1 rle with old method : 0.0059549808502197266 time for calcul the mask position with numpy : 0.005803585052490234 nb_pixel_total : 475 time to create 1 rle with old method : 0.0005755424499511719 time for calcul the mask position with numpy : 0.005801200866699219 nb_pixel_total : 204 time to create 1 rle with old method : 0.00022912025451660156 time for calcul the mask position with numpy : 0.006411075592041016 nb_pixel_total : 488 time to create 1 rle with old method : 0.0005772113800048828 time for calcul the mask position with numpy : 0.005841493606567383 nb_pixel_total : 133 time to create 1 rle with old method : 0.00017333030700683594 time for calcul the mask position with numpy : 0.005892753601074219 nb_pixel_total : 39 time to create 1 rle with old method : 7.343292236328125e-05 time for calcul the mask position with numpy : 0.005785703659057617 nb_pixel_total : 363 time to create 1 rle with old method : 0.0004036426544189453 time for calcul the mask position with numpy : 0.005701303482055664 nb_pixel_total : 631 time to create 1 rle with old method : 0.0007450580596923828 time for calcul the mask position with numpy : 0.005960702896118164 nb_pixel_total : 625 time to create 1 rle with old method : 0.0006976127624511719 time for calcul the mask position with numpy : 0.005978822708129883 nb_pixel_total : 244 time to create 1 rle with old method : 0.00030875205993652344 time for calcul the mask position with numpy : 0.00580143928527832 nb_pixel_total : 2421 time to create 1 rle with old method : 0.002643585205078125 time for calcul the mask position with numpy : 0.0058553218841552734 nb_pixel_total : 407 time to create 1 rle with old method : 0.0005257129669189453 time for calcul the mask position with numpy : 0.0060329437255859375 nb_pixel_total : 175 time to create 1 rle with old method : 0.00022792816162109375 time for calcul the mask position with numpy : 0.005967617034912109 nb_pixel_total : 173 time to create 1 rle with old method : 0.00021767616271972656 time for calcul the mask position with numpy : 0.0058345794677734375 nb_pixel_total : 501 time to create 1 rle with old method : 0.0005872249603271484 time for calcul the mask position with numpy : 0.005883932113647461 nb_pixel_total : 3059 time to create 1 rle with old method : 0.003391742706298828 time for calcul the mask position with numpy : 0.005921840667724609 nb_pixel_total : 4326 time to create 1 rle with old method : 0.004805564880371094 time for calcul the mask position with numpy : 0.005934953689575195 nb_pixel_total : 171 time to create 1 rle with old method : 0.0002498626708984375 time for calcul the mask position with numpy : 0.006139278411865234 nb_pixel_total : 1220 time to create 1 rle with old method : 0.0013234615325927734 time for calcul the mask position with numpy : 0.005944728851318359 nb_pixel_total : 175 time to create 1 rle with old method : 0.00021576881408691406 time for calcul the mask position with numpy : 0.005948305130004883 nb_pixel_total : 157 time to create 1 rle with old method : 0.0001957416534423828 time for calcul the mask position with numpy : 0.009306907653808594 nb_pixel_total : 385 time to create 1 rle with old method : 0.0005030632019042969 time for calcul the mask position with numpy : 0.005844593048095703 nb_pixel_total : 604 time to create 1 rle with old method : 0.0007114410400390625 time for calcul the mask position with numpy : 0.0059604644775390625 nb_pixel_total : 875 time to create 1 rle with old method : 0.0009844303131103516 time for calcul the mask position with numpy : 0.0059626102447509766 nb_pixel_total : 87 time to create 1 rle with old method : 0.00011301040649414062 time for calcul the mask position with numpy : 0.005760908126831055 nb_pixel_total : 256 time to create 1 rle with old method : 0.0002834796905517578 time for calcul the mask position with numpy : 0.005794525146484375 nb_pixel_total : 850 time to create 1 rle with old method : 0.0009379386901855469 time for calcul the mask position with numpy : 0.005949735641479492 nb_pixel_total : 192 time to create 1 rle with old method : 0.00024080276489257812 time for calcul the mask position with numpy : 0.005913496017456055 nb_pixel_total : 47 time to create 1 rle with old method : 9.632110595703125e-05 time for calcul the mask position with numpy : 0.005764484405517578 nb_pixel_total : 192 time to create 1 rle with old method : 0.0002384185791015625 time for calcul the mask position with numpy : 0.005916595458984375 nb_pixel_total : 3222 time to create 1 rle with old method : 0.0035982131958007812 time for calcul the mask position with numpy : 0.005871772766113281 nb_pixel_total : 1090 time to create 1 rle with old method : 0.0012807846069335938 time for calcul the mask position with numpy : 0.005950450897216797 nb_pixel_total : 783 time to create 1 rle with old method : 0.0009324550628662109 time for calcul the mask position with numpy : 0.005850076675415039 nb_pixel_total : 76 time to create 1 rle with old method : 0.0001404285430908203 time for calcul the mask position with numpy : 0.005696535110473633 nb_pixel_total : 1675 time to create 1 rle with old method : 0.0019371509552001953 time for calcul the mask position with numpy : 0.006430149078369141 nb_pixel_total : 249 time to create 1 rle with old method : 0.0004787445068359375 time for calcul the mask position with numpy : 0.006426811218261719 nb_pixel_total : 44 time to create 1 rle with old method : 0.00012755393981933594 time for calcul the mask position with numpy : 0.0063936710357666016 nb_pixel_total : 205 time to create 1 rle with old method : 0.0003612041473388672 time for calcul the mask position with numpy : 0.006452083587646484 nb_pixel_total : 576 time to create 1 rle with old method : 0.0009629726409912109 time for calcul the mask position with numpy : 0.006421089172363281 nb_pixel_total : 2502 time to create 1 rle with old method : 0.00412750244140625 time for calcul the mask position with numpy : 0.006476640701293945 nb_pixel_total : 868 time to create 1 rle with old method : 0.0014641284942626953 time for calcul the mask position with numpy : 0.006426334381103516 nb_pixel_total : 562 time to create 1 rle with old method : 0.0009529590606689453 time for calcul the mask position with numpy : 0.00641179084777832 nb_pixel_total : 505 time to create 1 rle with old method : 0.0008375644683837891 time for calcul the mask position with numpy : 0.00640106201171875 nb_pixel_total : 377 time to create 1 rle with old method : 0.000652313232421875 time for calcul the mask position with numpy : 0.006437063217163086 nb_pixel_total : 282 time to create 1 rle with old method : 0.0005016326904296875 time for calcul the mask position with numpy : 0.0063934326171875 nb_pixel_total : 37 time to create 1 rle with old method : 8.58306884765625e-05 time for calcul the mask position with numpy : 0.0064165592193603516 nb_pixel_total : 5590 time to create 1 rle with old method : 0.00619053840637207 time for calcul the mask position with numpy : 0.005974531173706055 nb_pixel_total : 553 time to create 1 rle with old method : 0.0006930828094482422 time for calcul the mask position with numpy : 0.0057604312896728516 nb_pixel_total : 11 time to create 1 rle with old method : 3.457069396972656e-05 time for calcul the mask position with numpy : 0.005895376205444336 nb_pixel_total : 263 time to create 1 rle with old method : 0.0003223419189453125 time for calcul the mask position with numpy : 0.0058422088623046875 nb_pixel_total : 914 time to create 1 rle with old method : 0.0010771751403808594 time for calcul the mask position with numpy : 0.005753278732299805 nb_pixel_total : 21 time to create 1 rle with old method : 5.507469177246094e-05 time for calcul the mask position with numpy : 0.005791902542114258 nb_pixel_total : 571 time to create 1 rle with old method : 0.0006480216979980469 time for calcul the mask position with numpy : 0.005825996398925781 nb_pixel_total : 16 time to create 1 rle with old method : 5.269050598144531e-05 time for calcul the mask position with numpy : 0.005898952484130859 nb_pixel_total : 287 time to create 1 rle with old method : 0.0003306865692138672 time for calcul the mask position with numpy : 0.00581669807434082 nb_pixel_total : 861 time to create 1 rle with old method : 0.0010221004486083984 time for calcul the mask position with numpy : 0.0056095123291015625 nb_pixel_total : 354 time to create 1 rle with old method : 0.00038552284240722656 time for calcul the mask position with numpy : 0.005761861801147461 nb_pixel_total : 25 time to create 1 rle with old method : 6.222724914550781e-05 time for calcul the mask position with numpy : 0.005736827850341797 nb_pixel_total : 2875 time to create 1 rle with old method : 0.003114938735961914 time for calcul the mask position with numpy : 0.005827903747558594 nb_pixel_total : 496 time to create 1 rle with old method : 0.0005500316619873047 time for calcul the mask position with numpy : 0.0056383609771728516 nb_pixel_total : 417 time to create 1 rle with old method : 0.00046563148498535156 time for calcul the mask position with numpy : 0.00568699836730957 nb_pixel_total : 257 time to create 1 rle with old method : 0.00028824806213378906 time for calcul the mask position with numpy : 0.005870342254638672 nb_pixel_total : 381 time to create 1 rle with old method : 0.0004885196685791016 time for calcul the mask position with numpy : 0.005896806716918945 nb_pixel_total : 70 time to create 1 rle with old method : 9.703636169433594e-05 time for calcul the mask position with numpy : 0.0056917667388916016 nb_pixel_total : 1428 time to create 1 rle with old method : 0.001528024673461914 time for calcul the mask position with numpy : 0.005697011947631836 nb_pixel_total : 48 time to create 1 rle with old method : 0.00010085105895996094 time for calcul the mask position with numpy : 0.005760908126831055 nb_pixel_total : 1926 time to create 1 rle with old method : 0.0021772384643554688 time for calcul the mask position with numpy : 0.005874156951904297 nb_pixel_total : 1095 time to create 1 rle with old method : 0.0014138221740722656 time for calcul the mask position with numpy : 0.005817890167236328 nb_pixel_total : 1334 time to create 1 rle with old method : 0.0014889240264892578 time for calcul the mask position with numpy : 0.005856037139892578 nb_pixel_total : 101 time to create 1 rle with old method : 0.0001418590545654297 time for calcul the mask position with numpy : 0.005988597869873047 nb_pixel_total : 1228 time to create 1 rle with old method : 0.0014045238494873047 time for calcul the mask position with numpy : 0.005905866622924805 nb_pixel_total : 4415 time to create 1 rle with old method : 0.004945516586303711 time for calcul the mask position with numpy : 0.0058476924896240234 nb_pixel_total : 1640 time to create 1 rle with old method : 0.0018188953399658203 time for calcul the mask position with numpy : 0.0057849884033203125 nb_pixel_total : 286 time to create 1 rle with old method : 0.0003197193145751953 time for calcul the mask position with numpy : 0.005972146987915039 nb_pixel_total : 1845 time to create 1 rle with old method : 0.0021233558654785156 time for calcul the mask position with numpy : 0.006494283676147461 nb_pixel_total : 369 time to create 1 rle with old method : 0.0004360675811767578 time for calcul the mask position with numpy : 0.005796909332275391 nb_pixel_total : 841 time to create 1 rle with old method : 0.0009336471557617188 time for calcul the mask position with numpy : 0.005888462066650391 nb_pixel_total : 464 time to create 1 rle with old method : 0.0005512237548828125 time for calcul the mask position with numpy : 0.005877256393432617 nb_pixel_total : 1349 time to create 1 rle with old method : 0.0015523433685302734 time for calcul the mask position with numpy : 0.0057795047760009766 nb_pixel_total : 162 time to create 1 rle with old method : 0.00019288063049316406 time for calcul the mask position with numpy : 0.00598597526550293 nb_pixel_total : 166 time to create 1 rle with old method : 0.0001983642578125 time for calcul the mask position with numpy : 0.005800724029541016 nb_pixel_total : 756 time to create 1 rle with old method : 0.0009274482727050781 time for calcul the mask position with numpy : 0.005869865417480469 nb_pixel_total : 240 time to create 1 rle with old method : 0.00030922889709472656 time for calcul the mask position with numpy : 0.006053447723388672 nb_pixel_total : 580 time to create 1 rle with old method : 0.0006804466247558594 time for calcul the mask position with numpy : 0.005910396575927734 nb_pixel_total : 1176 time to create 1 rle with old method : 0.0013427734375 time for calcul the mask position with numpy : 0.005938053131103516 nb_pixel_total : 840 time to create 1 rle with old method : 0.0009565353393554688 time for calcul the mask position with numpy : 0.005942106246948242 nb_pixel_total : 54 time to create 1 rle with old method : 9.846687316894531e-05 time for calcul the mask position with numpy : 0.0058629512786865234 nb_pixel_total : 31 time to create 1 rle with old method : 6.556510925292969e-05 time for calcul the mask position with numpy : 0.005871295928955078 nb_pixel_total : 681 time to create 1 rle with old method : 0.0007517337799072266 time for calcul the mask position with numpy : 0.005941629409790039 nb_pixel_total : 1325 time to create 1 rle with old method : 0.0014960765838623047 time for calcul the mask position with numpy : 0.005771160125732422 nb_pixel_total : 867 time to create 1 rle with old method : 0.0010268688201904297 time for calcul the mask position with numpy : 0.005849361419677734 nb_pixel_total : 350 time to create 1 rle with old method : 0.0004246234893798828 time for calcul the mask position with numpy : 0.005890846252441406 nb_pixel_total : 1275 time to create 1 rle with old method : 0.0014529228210449219 time for calcul the mask position with numpy : 0.005633115768432617 nb_pixel_total : 903 time to create 1 rle with old method : 0.0010232925415039062 time for calcul the mask position with numpy : 0.005842447280883789 nb_pixel_total : 873 time to create 1 rle with old method : 0.00099945068359375 time for calcul the mask position with numpy : 0.007429361343383789 nb_pixel_total : 587 time to create 1 rle with old method : 0.0006422996520996094 time for calcul the mask position with numpy : 0.009536027908325195 nb_pixel_total : 353 time to create 1 rle with old method : 0.000408172607421875 time for calcul the mask position with numpy : 0.009842157363891602 nb_pixel_total : 391 time to create 1 rle with old method : 0.00051116943359375 time for calcul the mask position with numpy : 0.00976872444152832 nb_pixel_total : 1174 time to create 1 rle with old method : 0.0012676715850830078 time for calcul the mask position with numpy : 0.009766101837158203 nb_pixel_total : 1056 time to create 1 rle with old method : 0.001104116439819336 time for calcul the mask position with numpy : 0.009825706481933594 nb_pixel_total : 1015 time to create 1 rle with old method : 0.0011508464813232422 time for calcul the mask position with numpy : 0.009262800216674805 nb_pixel_total : 96 time to create 1 rle with old method : 0.00011897087097167969 create new chi : 1.1133639812469482 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 : 0.001607656478881836 batch 1 Loaded 149 chid ids of type : 4230 Number RLEs to save : 13585 TO DO : save crop sub photo not yet done ! save time : 1.4526596069335938 map_output_result : {1386933428: (0.0, 'Should be the crop_list due to order', 0.0), 1386933424: (0.0, 'Should be the crop_list due to order', 0.0), 1386933420: (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 [1386933428, 1386933424, 1386933420] Looping around the photos to save general results len do output : 3 /1386933428.Didn't retrieve data . /1386933424.Didn't retrieve data . /1386933420.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, '3804806') ('4234', '27393937', '1386933428', None, None, None, None, None, '3804806') ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933424', None, None, None, None, None, '3804806') ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933420', None, None, None, None, None, '3804806') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 9 time used for this insertion : 0.03753948211669922 save_final save missing photos in datou_result : time spend for datou_step_exec : 14.710134267807007 time spend to save output : 0.03781390190124512 total time spend for step 4 : 14.747948169708252 step5:crop_condition Wed Oct 1 09:25:23 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 : 3 ! batch 1 Loaded 463 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 ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! 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 : 179 About to insert : list_path_to_insert length 179 new photo from crops ! About to upload 179 photos upload in portfolio : 4869462 init cache_photo without model_param we have 179 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1759303526_2110485 INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927097_0.png', 0, 24, 28, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927146_0.png', 0, 109, 57, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927204_0.png', 0, 24, 19, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927178_0.png', 0, 47, 37, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927172_0.png', 0, 44, 26, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927123_0.png', 0, 31, 21, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927154_0.png', 0, 13, 24, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927246_0.png', 0, 27, 41, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927236_0.png', 0, 31, 50, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927198_0.png', 0, 28, 41, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927140_0.png', 0, 22, 46, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927227_0.png', 0, 23, 29, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927217_0.png', 0, 31, 35, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927232_0.png', 0, 17, 46, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927225_0.png', 0, 15, 17, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927230_0.png', 0, 28, 48, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927129_0.png', 0, 26, 13, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927128_0.png', 0, 28, 13, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927224_0.png', 0, 50, 49, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927187_0.png', 0, 29, 28, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927197_0.png', 0, 24, 20, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927220_0.png', 0, 15, 24, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927139_0.png', 0, 32, 36, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927233_0.png', 0, 32, 53, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927221_0.png', 0, 34, 44, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927248_0.png', 0, 22, 27, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927231_0.png', 0, 37, 56, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927132_0.png', 0, 9, 33, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927145_0.png', 0, 12, 18, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927228_0.png', 0, 8, 15, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927239_0.png', 0, 10, 19, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927241_0.png', 0, 77, 41, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927177_0.png', 0, 15, 23, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927152_0.png', 0, 58, 34, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927179_0.png', 0, 12, 19, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927214_0.png', 0, 45, 52, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927159_0.png', 0, 34, 21, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927167_0.png', 0, 25, 31, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927196_0.png', 0, 18, 45, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927137_0.png', 0, 13, 28, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927216_0.png', 0, 29, 36, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927142_0.png', 0, 68, 131, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927176_0.png', 0, 31, 32, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927161_0.png', 0, 76, 99, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927173_0.png', 0, 29, 25, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927247_0.png', 0, 42, 29, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927209_0.png', 0, 29, 32, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927242_0.png', 0, 18, 23, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927190_0.png', 0, 35, 22, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927184_0.png', 0, 59, 37, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927210_0.png', 0, 51, 38, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927243_0.png', 0, 35, 37, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927238_0.png', 0, 13, 23, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927229_0.png', 0, 25, 24, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927191_0.png', 0, 78, 110, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927116_0.png', 0, 25, 26, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927120_0.png', 0, 27, 42, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927195_0.png', 0, 40, 56, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927218_0.png', 0, 51, 80, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927135_0.png', 0, 13, 30, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927138_0.png', 0, 12, 2, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927523_0.png', 0, 17, 29, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927525_0.png', 0, 23, 26, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927529_0.png', 0, 7, 20, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927583_0.png', 0, 110, 66, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927575_0.png', 0, 86, 74, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927635_0.png', 0, 24, 19, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927613_0.png', 0, 46, 39, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927621_0.png', 0, 16, 16, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927605_0.png', 0, 46, 27, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927555_0.png', 0, 44, 33, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927590_0.png', 0, 14, 26, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927664_0.png', 0, 51, 46, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927584_0.png', 0, 16, 17, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927547_0.png', 0, 58, 23, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927628_0.png', 0, 25, 40, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927550_0.png', 0, 34, 26, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927670_0.png', 0, 14, 19, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927652_0.png', 0, 8, 14, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927573_0.png', 0, 27, 46, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927659_0.png', 0, 21, 26, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927657_0.png', 0, 37, 56, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927655_0.png', 0, 17, 17, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927654_0.png', 0, 50, 47, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927622_0.png', 0, 25, 25, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927649_0.png', 0, 16, 24, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927597_0.png', 0, 49, 36, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927647_0.png', 0, 22, 16, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927650_0.png', 0, 28, 32, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927568_0.png', 0, 33, 35, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927662_0.png', 0, 30, 50, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927671_0.png', 0, 22, 26, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927651_0.png', 0, 30, 26, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927536_0.png', 0, 173, 126, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927656_0.png', 0, 34, 62, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927634_0.png', 0, 19, 21, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927658_0.png', 0, 10, 19, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927668_0.png', 0, 18, 15, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927598_0.png', 0, 54, 31, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927565_0.png', 0, 16, 22, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927572_0.png', 0, 21, 11, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927602_0.png', 0, 20, 30, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927596_0.png', 0, 12, 25, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927631_0.png', 0, 16, 28, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927637_0.png', 0, 11, 9, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927620_0.png', 0, 14, 16, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927648_0.png', 0, 26, 30, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927611_0.png', 0, 30, 32, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927537_0.png', 0, 49, 55, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927606_0.png', 0, 64, 49, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927608_0.png', 0, 30, 24, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927672_0.png', 0, 40, 28, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927617_0.png', 0, 30, 49, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927667_0.png', 0, 21, 26, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927642_0.png', 0, 68, 38, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927669_0.png', 0, 34, 32, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927666_0.png', 0, 37, 19, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927545_0.png', 0, 25, 28, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927554_0.png', 0, 5, 16, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927558_0.png', 0, 30, 17, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927548_0.png', 0, 42, 19, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927778_0.png', 0, 19, 27, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927780_0.png', 0, 20, 25, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927782_0.png', 0, 40, 27, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927843_0.png', 0, 26, 9, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927849_0.png', 0, 49, 38, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927860_0.png', 0, 18, 15, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927815_0.png', 0, 22, 52, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927924_0.png', 0, 13, 11, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927845_0.png', 0, 43, 28, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927802_0.png', 0, 30, 27, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927829_0.png', 0, 20, 25, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927899_0.png', 0, 36, 43, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927798_0.png', 0, 62, 15, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927911_0.png', 0, 32, 49, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927878_0.png', 0, 28, 40, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927800_0.png', 0, 37, 28, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927819_0.png', 0, 26, 47, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927873_0.png', 0, 39, 33, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927916_0.png', 0, 37, 35, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927904_0.png', 0, 29, 35, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927900_0.png', 0, 28, 27, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927832_0.png', 0, 24, 26, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927901_0.png', 0, 49, 47, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927912_0.png', 0, 54, 50, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927834_0.png', 0, 47, 27, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927865_0.png', 0, 29, 29, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927879_0.png', 0, 24, 24, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927835_0.png', 0, 24, 16, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927892_0.png', 0, 15, 12, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927898_0.png', 0, 18, 40, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927906_0.png', 0, 24, 50, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927817_0.png', 0, 34, 35, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927922_0.png', 0, 55, 24, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927858_0.png', 0, 37, 10, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927811_0.png', 0, 7, 32, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927848_0.png', 0, 14, 23, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927895_0.png', 0, 78, 45, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927914_0.png', 0, 28, 26, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927913_0.png', 0, 57, 44, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927902_0.png', 0, 20, 11, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927850_0.png', 0, 16, 20, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927831_0.png', 0, 49, 33, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927890_0.png', 0, 61, 41, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927837_0.png', 0, 26, 31, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927886_0.png', 0, 9, 9, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927816_0.png', 0, 12, 27, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927919_0.png', 0, 27, 16, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927846_0.png', 0, 32, 31, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927893_0.png', 0, 36, 56, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927923_0.png', 0, 55, 24, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927867_0.png', 0, 24, 20, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927917_0.png', 0, 35, 34, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927853_0.png', 0, 69, 84, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927799_0.png', 0, 29, 57, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927795_0.png', 0, 32, 33, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927808_0.png', 0, 21, 60, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927826_0.png', 0, 29, 26, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303560), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927809_0.png', 0, 11, 44, 0, 1759303560,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! we have uploaded 179 photos in the portfolio 4869462 time of upload the photos Elapsed time : 54.35516953468323 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 ! map_result returned by crop_photo_return_map_crop : length : 70 About to insert : list_path_to_insert length 70 new photo from crops ! About to upload 70 photos upload in portfolio : 4869462 init cache_photo without model_param we have 70 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1759303581_2110485 INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927099_0.png', 0, 81, 28, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927100_0.png', 0, 46, 27, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927134_0.png', 0, 33, 22, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927199_0.png', 0, 14, 32, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927118_0.png', 0, 36, 21, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927124_0.png', 0, 27, 15, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927131_0.png', 0, 17, 13, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927127_0.png', 0, 28, 27, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927162_0.png', 0, 38, 38, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927182_0.png', 0, 38, 37, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927175_0.png', 0, 42, 33, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927201_0.png', 0, 36, 29, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927244_0.png', 0, 34, 39, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927250_0.png', 0, 23, 8, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927245_0.png', 0, 43, 42, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927194_0.png', 0, 81, 86, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927180_0.png', 0, 18, 17, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927122_0.png', 0, 43, 20, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927119_0.png', 0, 49, 14, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927170_0.png', 0, 12, 11, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927524_0.png', 0, 80, 30, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927534_0.png', 0, 59, 20, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927528_0.png', 0, 37, 27, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927643_0.png', 0, 110, 97, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927604_0.png', 0, 73, 26, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927551_0.png', 0, 39, 79, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927585_0.png', 0, 21, 27, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927630_0.png', 0, 16, 33, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927560_0.png', 0, 50, 17, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927600_0.png', 0, 19, 15, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927619_0.png', 0, 58, 21, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927616_0.png', 0, 61, 83, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927675_0.png', 0, 22, 8, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927665_0.png', 0, 40, 46, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927660_0.png', 0, 28, 23, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927603_0.png', 0, 74, 25, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927624_0.png', 0, 79, 131, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927549_0.png', 0, 26, 42, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927541_0.png', 0, 32, 45, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927564_0.png', 0, 14, 28, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927561_0.png', 0, 25, 57, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927552_0.png', 0, 37, 29, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927614_0.png', 0, 19, 17, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927557_0.png', 0, 42, 20, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927779_0.png', 0, 85, 30, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927894_0.png', 0, 101, 66, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927788_0.png', 0, 95, 56, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927841_0.png', 0, 75, 27, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927807_0.png', 0, 86, 113, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927801_0.png', 0, 70, 80, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927813_0.png', 0, 38, 22, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927787_0.png', 0, 121, 59, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927792_0.png', 0, 11, 31, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927903_0.png', 0, 12, 27, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927908_0.png', 0, 29, 34, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927864_0.png', 0, 35, 27, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927847_0.png', 0, 14, 9, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927861_0.png', 0, 30, 30, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927863_0.png', 0, 55, 54, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927859_0.png', 0, 31, 29, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927862_0.png', 0, 54, 59, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927882_0.png', 0, 35, 26, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927896_0.png', 0, 17, 22, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927838_0.png', 0, 79, 73, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927889_0.png', 0, 46, 66, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927915_0.png', 0, 41, 41, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927869_0.png', 0, 79, 132, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927790_0.png', 0, 31, 43, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927852_0.png', 0, 19, 17, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303595), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927804_0.png', 0, 43, 18, 0, 1759303595,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! we have uploaded 70 photos in the portfolio 4869462 time of upload the photos Elapsed time : 21.825358867645264 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 ! Next one ! map_result returned by crop_photo_return_map_crop : length : 2 About to insert : list_path_to_insert length 2 new photo from crops ! About to upload 2 photos upload in portfolio : 4869462 init cache_photo without model_param we have 2 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1759303603_2110485 INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303603), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927150_0.png', 0, 34, 36, 0, 1759303603,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303603), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927633_0.png', 0, 29, 32, 0, 1759303603,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! we have uploaded 2 photos in the portfolio 4869462 time of upload the photos Elapsed time : 0.8912026882171631 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 ! Next one ! Next one ! Next one ! Next one ! map_result returned by crop_photo_return_map_crop : length : 30 About to insert : list_path_to_insert length 30 new photo from crops ! About to upload 30 photos upload in portfolio : 4869462 init cache_photo without model_param we have 30 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1759303604_2110485 INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927164_0.png', 0, 81, 56, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927249_0.png', 0, 54, 27, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927117_0.png', 0, 69, 34, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927114_0.png', 0, 46, 40, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927113_0.png', 0, 57, 42, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927126_0.png', 0, 47, 19, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927155_0.png', 0, 37, 26, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927237_0.png', 0, 25, 39, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927141_0.png', 0, 67, 125, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927143_0.png', 0, 43, 16, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927223_0.png', 0, 44, 36, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927673_0.png', 0, 53, 27, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927556_0.png', 0, 61, 43, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927546_0.png', 0, 72, 29, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927542_0.png', 0, 86, 64, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927566_0.png', 0, 12, 24, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927625_0.png', 0, 53, 66, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927578_0.png', 0, 17, 29, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927581_0.png', 0, 13, 16, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927579_0.png', 0, 29, 29, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927577_0.png', 0, 45, 17, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927653_0.png', 0, 41, 40, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927921_0.png', 0, 55, 26, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927796_0.png', 0, 58, 31, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927793_0.png', 0, 28, 38, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927797_0.png', 0, 64, 29, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927803_0.png', 0, 58, 26, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927814_0.png', 0, 21, 27, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927918_0.png', 0, 21, 32, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303610), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927824_0.png', 0, 44, 17, 0, 1759303610,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! we have uploaded 30 photos in the portfolio 4869462 time of upload the photos Elapsed time : 9.365749597549438 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 ! map_result returned by crop_photo_return_map_crop : length : 32 About to insert : list_path_to_insert length 32 new photo from crops ! About to upload 32 photos upload in portfolio : 4869462 init cache_photo without model_param we have 32 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1759303614_2110485 INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927102_0.png', 0, 40, 28, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927103_0.png', 0, 42, 25, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927105_0.png', 0, 15, 15, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927213_0.png', 0, 96, 49, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927165_0.png', 0, 25, 36, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927205_0.png', 0, 48, 47, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927219_0.png', 0, 66, 58, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927206_0.png', 0, 55, 35, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927174_0.png', 0, 54, 73, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927121_0.png', 0, 69, 33, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927125_0.png', 0, 25, 55, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933428_8aaa75dbf40bbc9c5760c3b2a9f97d12_rle_crop_3981927147_0.png', 0, 33, 83, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927530_0.png', 0, 39, 23, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927533_0.png', 0, 15, 17, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927532_0.png', 0, 6, 5, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927539_0.png', 0, 65, 29, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927593_0.png', 0, 6, 8, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927592_0.png', 0, 22, 13, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927582_0.png', 0, 56, 52, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927586_0.png', 0, 35, 31, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927639_0.png', 0, 53, 35, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927636_0.png', 0, 26, 16, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933424_535479e62c18b567aec69f470896a320_rle_crop_3981927587_0.png', 0, 28, 76, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927784_0.png', 0, 37, 16, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927783_0.png', 0, 15, 19, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927857_0.png', 0, 55, 42, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927891_0.png', 0, 37, 48, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927887_0.png', 0, 59, 44, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927883_0.png', 0, 36, 15, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927777_0.png', 0, 95, 64, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927881_0.png', 0, 54, 133, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1759303622), 0.0, 0.0, 14, '', 0, 0, '1759303475_2110485_1386933420_e37524f5bdc17bf114101d70a2027af6_rle_crop_3981927830_0.png', 0, 31, 83, 0, 1759303622,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! we have uploaded 32 photos in the portfolio 4869462 time of upload the photos Elapsed time : 11.328573942184448 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 delete rles for these photos Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : crop_condition we use saveGeneral [1386933428, 1386933424, 1386933420] Looping around the photos to save general results len do output : 313 /1387098181Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098182Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098183Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098184Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098185Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098186Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098187Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098188Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098189Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098191Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098193Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098194Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098195Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098196Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098197Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098198Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098199Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098200Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098201Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098202Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098203Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098204Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098205Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098206Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098207Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098208Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098209Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098210Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098211Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098212Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098213Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098214Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098215Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098216Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098217Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098218Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098220Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098221Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098222Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098223Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098224Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098225Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098227Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098228Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098229Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098230Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098231Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098232Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098233Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098234Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098235Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098236Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098237Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098238Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098239Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098240Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098241Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098242Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098243Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098245Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098246Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098247Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098248Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098249Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098250Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098251Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098252Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098253Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098254Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098255Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098256Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098257Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098258Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098260Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098261Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098262Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098263Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098264Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098265Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098266Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098267Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098269Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098270Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098271Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098272Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098273Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098274Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098275Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098276Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098277Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098278Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098279Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098280Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098281Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098282Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098283Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098284Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098285Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098286Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098287Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098288Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098289Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098290Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098291Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098292Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098293Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098294Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098295Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098296Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098297Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098298Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098299Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098300Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098301Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098302Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098303Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098304Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098305Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098306Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098307Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098308Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098309Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098310Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098311Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098312Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098313Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098314Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098315Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098316Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098317Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098318Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098319Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098321Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098322Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098323Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098324Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098325Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098326Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098327Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098328Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098329Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098330Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098331Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098332Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098333Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098334Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098335Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098336Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098337Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098338Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098339Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098340Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098341Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098342Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098343Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098344Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098345Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098346Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098347Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098348Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098349Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098350Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098351Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098352Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098353Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098354Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098355Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098356Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098357Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098358Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098360Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098361Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098362Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098363Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098364Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098365Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098366Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098367Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098368Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098548Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098549Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098550Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098551Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098552Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098553Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098554Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098555Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098556Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098557Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098558Didn't retrieve data 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/1387098654Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098655Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098658Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098659Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098660Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098661Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098662Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098663Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098664Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098665Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098666Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098667Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098668Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098669Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098670Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098671Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098672Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098673Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098675Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098676Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098677Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098678Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098679Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098680Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098681Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098682Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098683Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098684Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098685Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098686Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098687Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098688Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098689Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1387098690Didn'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, '3804806') ('4234', '27393937', '1386933428', None, None, None, None, None, '3804806') ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933424', None, None, None, None, None, '3804806') ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933420', None, None, None, None, None, '3804806') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 942 time used for this insertion : 0.06740021705627441 save_final save missing photos in datou_result : time spend for datou_step_exec : 102.94640469551086 time spend to save output : 0.07619786262512207 total time spend for step 5 : 103.02260255813599 step6:thcl Wed Oct 1 09:27:06 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 : 0.023061037063598633 time to convert the images to numpy array : 0.08341240882873535 time to import caffe and check if the image exist : 0.018497705459594727 time to convert the images to numpy array : 0.09606075286865234 time to import caffe and check if the image exist : 0.02817702293395996 time to convert the images to numpy array : 0.09361577033996582 time to import caffe and check if the image exist : 0.016790151596069336 time to convert the images to numpy array : 0.11179161071777344 time to import caffe and check if the image exist : 0.02491593360900879 time to convert the images to numpy array : 0.10414695739746094 time to import caffe and check if the image exist : 0.039560556411743164 time to convert the images to numpy array : 0.09234261512756348 time to import caffe and check if the image exist : 0.027567386627197266 time to convert the images to numpy array : 0.1043539047241211 time to import caffe and check if the image exist : 0.02403855323791504 time to convert the images to numpy array : 0.10854506492614746 time to import caffe and check if the image exist : 0.01838994026184082 time to convert the images to numpy array : 0.11312079429626465 time to import caffe and check if the image exist : 0.02423858642578125 time to convert the images to numpy array : 0.10789823532104492 total time to convert the images to numpy array : 0.3554661273956299 list photo_ids error: [] list photo_ids correct : [1387098665, 1387098666, 1387098667, 1387098668, 1387098669, 1387098670, 1387098671, 1387098672, 1387098673, 1387098675, 1387098676, 1387098677, 1387098678, 1387098679, 1387098680, 1387098681, 1387098682, 1387098683, 1387098684, 1387098685, 1387098686, 1387098687, 1387098688, 1387098689, 1387098690, 1387098284, 1387098285, 1387098286, 1387098287, 1387098288, 1387098289, 1387098290, 1387098291, 1387098292, 1387098293, 1387098294, 1387098295, 1387098296, 1387098297, 1387098298, 1387098299, 1387098300, 1387098301, 1387098302, 1387098303, 1387098304, 1387098305, 1387098306, 1387098307, 1387098308, 1387098309, 1387098310, 1387098311, 1387098312, 1387098313, 1387098314, 1387098315, 1387098349, 1387098350, 1387098351, 1387098352, 1387098353, 1387098354, 1387098355, 1387098356, 1387098357, 1387098358, 1387098360, 1387098361, 1387098362, 1387098363, 1387098364, 1387098365, 1387098366, 1387098367, 1387098368, 1387098548, 1387098549, 1387098550, 1387098551, 1387098552, 1387098553, 1387098554, 1387098555, 1387098556, 1387098557, 1387098558, 1387098559, 1387098560, 1387098316, 1387098317, 1387098318, 1387098319, 1387098321, 1387098322, 1387098323, 1387098324, 1387098325, 1387098326, 1387098327, 1387098328, 1387098329, 1387098330, 1387098331, 1387098332, 1387098333, 1387098334, 1387098335, 1387098336, 1387098337, 1387098338, 1387098339, 1387098340, 1387098341, 1387098342, 1387098343, 1387098344, 1387098345, 1387098346, 1387098347, 1387098348, 1387098215, 1387098216, 1387098217, 1387098218, 1387098220, 1387098221, 1387098222, 1387098223, 1387098224, 1387098225, 1387098227, 1387098228, 1387098229, 1387098230, 1387098231, 1387098232, 1387098233, 1387098234, 1387098235, 1387098236, 1387098237, 1387098238, 1387098239, 1387098240, 1387098241, 1387098242, 1387098243, 1387098245, 1387098246, 1387098247, 1387098248, 1387098249, 1387098181, 1387098182, 1387098183, 1387098184, 1387098185, 1387098186, 1387098187, 1387098188, 1387098189, 1387098191, 1387098193, 1387098194, 1387098195, 1387098196, 1387098197, 1387098198, 1387098199, 1387098200, 1387098201, 1387098202, 1387098203, 1387098204, 1387098205, 1387098206, 1387098207, 1387098208, 1387098209, 1387098210, 1387098211, 1387098212, 1387098213, 1387098214, 1387098561, 1387098562, 1387098563, 1387098564, 1387098565, 1387098566, 1387098567, 1387098568, 1387098569, 1387098570, 1387098571, 1387098572, 1387098573, 1387098574, 1387098576, 1387098577, 1387098578, 1387098579, 1387098580, 1387098581, 1387098582, 1387098583, 1387098585, 1387098586, 1387098587, 1387098588, 1387098589, 1387098590, 1387098591, 1387098592, 1387098593, 1387098594, 1387098250, 1387098251, 1387098252, 1387098253, 1387098254, 1387098255, 1387098256, 1387098257, 1387098258, 1387098260, 1387098261, 1387098262, 1387098263, 1387098264, 1387098265, 1387098266, 1387098267, 1387098269, 1387098270, 1387098271, 1387098272, 1387098273, 1387098274, 1387098275, 1387098276, 1387098277, 1387098278, 1387098279, 1387098280, 1387098281, 1387098282, 1387098283, 1387098631, 1387098632, 1387098633, 1387098634, 1387098635, 1387098636, 1387098637, 1387098638, 1387098639, 1387098640, 1387098641, 1387098642, 1387098643, 1387098644, 1387098645, 1387098646, 1387098647, 1387098648, 1387098649, 1387098650, 1387098651, 1387098652, 1387098653, 1387098654, 1387098655, 1387098658, 1387098659, 1387098660, 1387098661, 1387098662, 1387098663, 1387098664, 1387098595, 1387098596, 1387098597, 1387098598, 1387098599, 1387098600, 1387098601, 1387098602, 1387098603, 1387098604, 1387098605, 1387098606, 1387098607, 1387098608, 1387098609, 1387098610, 1387098611, 1387098612, 1387098613, 1387098614, 1387098615, 1387098616, 1387098617, 1387098618, 1387098620, 1387098621, 1387098622, 1387098626, 1387098627, 1387098628, 1387098629, 1387098630] number of photos to traite : 313 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 : 10583 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 l 3637 free memory gpu now : 10142 max_wait_temp : 1 max_wait : 0 dict_keys(['prob', 'pool5']) time used to do the prepocess of the images : 1.5497865676879883 time used to do the prediction : 1.0898189544677734 save descriptor for thcl : 3237 time to traite the descriptors : 1.7470366954803467 storage_type for insertDescriptorsMulti : 3 To insert : 1387098665 To insert : 1387098666 To insert : 1387098667 To insert : 1387098668 To insert : 1387098669 To insert : 1387098670 To insert : 1387098671 To insert : 1387098672 To insert : 1387098673 To insert : 1387098675 To insert : 1387098676 To insert : 1387098677 To insert : 1387098678 To insert : 1387098679 To insert : 1387098680 To insert : 1387098681 To insert : 1387098682 To insert : 1387098683 To insert : 1387098684 To insert : 1387098685 To insert : 1387098686 To insert : 1387098687 To insert : 1387098688 To insert : 1387098689 To insert : 1387098690 To insert : 1387098284 To insert : 1387098285 To insert : 1387098286 To insert : 1387098287 To insert : 1387098288 To insert : 1387098289 To insert : 1387098290 To insert : 1387098291 To insert : 1387098292 To insert : 1387098293 To insert : 1387098294 To insert : 1387098295 To insert : 1387098296 To insert : 1387098297 To insert : 1387098298 To insert : 1387098299 To insert : 1387098300 To insert : 1387098301 To insert : 1387098302 To insert : 1387098303 To insert : 1387098304 To insert : 1387098305 To insert : 1387098306 To insert : 1387098307 To insert : 1387098308 To insert : 1387098309 To insert : 1387098310 To insert : 1387098311 To insert : 1387098312 To insert : 1387098313 To insert : 1387098314 To insert : 1387098315 To insert : 1387098349 To insert : 1387098350 To insert : 1387098351 To insert : 1387098352 To insert : 1387098353 To insert : 1387098354 To insert : 1387098355 To insert : 1387098356 To insert : 1387098357 To insert : 1387098358 To insert : 1387098360 To insert : 1387098361 To insert : 1387098362 To insert : 1387098363 To insert : 1387098364 To insert : 1387098365 To insert : 1387098366 To insert : 1387098367 To insert : 1387098368 To insert : 1387098548 To insert : 1387098549 To insert : 1387098550 To insert : 1387098551 To insert : 1387098552 To insert : 1387098553 To insert : 1387098554 To insert : 1387098555 To insert : 1387098556 To insert : 1387098557 To insert : 1387098558 To insert : 1387098559 To insert : 1387098560 To insert : 1387098316 To insert : 1387098317 To insert : 1387098318 To insert : 1387098319 To insert : 1387098321 To insert : 1387098322 To insert : 1387098323 To insert : 1387098324 To insert : 1387098325 To insert : 1387098326 To insert : 1387098327 To insert : 1387098328 To insert : 1387098329 To insert : 1387098330 To insert : 1387098331 To insert : 1387098332 To insert : 1387098333 To insert : 1387098334 To insert : 1387098335 To insert : 1387098336 To insert : 1387098337 To insert : 1387098338 To insert : 1387098339 To insert : 1387098340 To insert : 1387098341 To insert : 1387098342 To insert : 1387098343 To insert : 1387098344 To insert : 1387098345 To insert : 1387098346 To insert : 1387098347 To insert : 1387098348 To insert : 1387098215 To insert : 1387098216 To insert : 1387098217 To insert : 1387098218 To insert : 1387098220 To insert : 1387098221 To insert : 1387098222 To insert : 1387098223 To insert : 1387098224 To insert : 1387098225 To insert : 1387098227 To insert : 1387098228 To insert : 1387098229 To insert : 1387098230 To insert : 1387098231 To insert : 1387098232 To insert : 1387098233 To insert : 1387098234 To insert : 1387098235 To insert : 1387098236 To insert : 1387098237 To insert : 1387098238 To insert : 1387098239 To insert : 1387098240 To insert : 1387098241 To insert : 1387098242 To insert : 1387098243 To insert : 1387098245 To insert : 1387098246 To insert : 1387098247 To insert : 1387098248 To insert : 1387098249 To insert : 1387098181 To insert : 1387098182 To insert : 1387098183 To insert : 1387098184 To insert : 1387098185 To insert : 1387098186 To insert : 1387098187 To insert : 1387098188 To insert : 1387098189 To insert : 1387098191 To insert : 1387098193 To insert : 1387098194 To insert : 1387098195 To insert : 1387098196 To insert : 1387098197 To insert : 1387098198 To insert : 1387098199 To insert : 1387098200 To insert : 1387098201 To insert : 1387098202 To insert : 1387098203 To insert : 1387098204 To insert : 1387098205 To insert : 1387098206 To insert : 1387098207 To insert : 1387098208 To insert : 1387098209 To insert : 1387098210 To insert : 1387098211 To insert : 1387098212 To insert : 1387098213 To insert : 1387098214 To insert : 1387098561 To insert : 1387098562 To insert : 1387098563 To insert : 1387098564 To insert : 1387098565 To insert : 1387098566 To insert : 1387098567 To insert : 1387098568 To insert : 1387098569 To insert : 1387098570 To insert : 1387098571 To insert : 1387098572 To insert : 1387098573 To insert : 1387098574 To insert : 1387098576 To insert : 1387098577 To insert : 1387098578 To insert : 1387098579 To insert : 1387098580 To insert : 1387098581 To insert : 1387098582 To insert : 1387098583 To insert : 1387098585 To insert : 1387098586 To insert : 1387098587 To insert : 1387098588 To insert : 1387098589 To insert : 1387098590 To insert : 1387098591 To insert : 1387098592 To insert : 1387098593 To insert : 1387098594 To insert : 1387098250 To insert : 1387098251 To insert : 1387098252 To insert : 1387098253 To insert : 1387098254 To insert : 1387098255 To insert : 1387098256 To insert : 1387098257 To insert : 1387098258 To insert : 1387098260 To insert : 1387098261 To insert : 1387098262 To insert : 1387098263 To insert : 1387098264 To insert : 1387098265 To insert : 1387098266 To insert : 1387098267 To insert : 1387098269 To insert : 1387098270 To insert : 1387098271 To insert : 1387098272 To insert : 1387098273 To insert : 1387098274 To insert : 1387098275 To insert : 1387098276 To insert : 1387098277 To insert : 1387098278 To insert : 1387098279 To insert : 1387098280 To insert : 1387098281 To insert : 1387098282 To insert : 1387098283 To insert : 1387098631 To insert : 1387098632 To insert : 1387098633 To insert : 1387098634 To insert : 1387098635 To insert : 1387098636 To insert : 1387098637 To insert : 1387098638 To insert : 1387098639 To insert : 1387098640 To insert : 1387098641 To insert : 1387098642 To insert : 1387098643 To insert : 1387098644 To insert : 1387098645 To insert : 1387098646 To insert : 1387098647 To insert : 1387098648 To insert : 1387098649 To insert : 1387098650 To insert : 1387098651 To insert : 1387098652 To insert : 1387098653 To insert : 1387098654 To insert : 1387098655 To insert : 1387098658 To insert : 1387098659 To insert : 1387098660 To insert : 1387098661 To insert : 1387098662 To insert : 1387098663 To insert : 1387098664 To insert : 1387098595 To insert : 1387098596 To insert : 1387098597 To insert : 1387098598 To insert : 1387098599 To insert : 1387098600 To insert : 1387098601 To insert : 1387098602 To insert : 1387098603 To insert : 1387098604 To insert : 1387098605 To insert : 1387098606 To insert : 1387098607 To insert : 1387098608 To insert : 1387098609 To insert : 1387098610 To insert : 1387098611 To insert : 1387098612 To insert : 1387098613 To insert : 1387098614 To insert : 1387098615 To insert : 1387098616 To insert : 1387098617 To insert : 1387098618 To insert : 1387098620 To insert : 1387098621 To insert : 1387098622 To insert : 1387098626 To insert : 1387098627 To insert : 1387098628 To insert : 1387098629 To insert : 1387098630 Catched exception ! Connect or reconnect ! time to insert the descriptors : 67.87627100944519 Inside saveOutput : final : False verbose : 0 time used to find the portfolios of the photos SAVE THCL : begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 489 time used for this insertion : 0.09467625617980957 save missing photos in datou_result : time spend for datou_step_exec : 76.87232828140259 time spend to save output : 0.2898752689361572 total time spend for step 6 : 77.16220355033875 step7:ventilate_hashtags_in_portfolio Wed Oct 1 09:28:23 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure beginning of datou step ventilate_hashtags_in_portfolio : To implement ! Iterating over portfolio : 27393937 get user id for portfolio 27393937 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=27393937 AND mptpi.`type`=4230 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('metal','mal_croppe','refus','PET_fonce','Tetrapak','PEHD','environnement','pehd','Papier','pet_clair','PET_clair','flou','carton','autre','Carton','Film_plastique','pet_fonce','papier')) AND mptpi.`min_score`=0.6 To do To do SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=27393937 AND mptpi.`type`=4230 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('metal','mal_croppe','refus','PET_fonce','Tetrapak','PEHD','environnement','pehd','Papier','pet_clair','PET_clair','flou','carton','autre','Carton','Film_plastique','pet_fonce','papier')) AND mptpi.`min_score`=0.6 To do Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") To do ! Use context local managing function ! SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=27393937 AND mptpi.`type`=4231 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('metal','mal_croppe','refus','PET_fonce','Tetrapak','PEHD','environnement','pehd','Papier','pet_clair','PET_clair','flou','carton','autre','Carton','Film_plastique','pet_fonce','papier')) AND mptpi.`min_score`=0.6 To do To do SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=27393937 AND mptpi.`type`=4231 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('metal','mal_croppe','refus','PET_fonce','Tetrapak','PEHD','environnement','pehd','Papier','pet_clair','PET_clair','flou','carton','autre','Carton','Film_plastique','pet_fonce','papier')) AND mptpi.`min_score`=0.6 To do lien utilise dans velours : https://marlene.fotonower.com/velours/27394450,27394451,27394452,27394467,27394454,27394457,27394456,27394468,27394460,27394462,27394465,27394464,27394466?tags=metal,mal_croppe,refus,pet_fonce,tetrapak,pehd,environnement,papier,pet_clair,flou,carton,autre,film_plastique&datou_id_consolidate=4235&port_consolidate=27393937 Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral [1386933428, 1386933424, 1386933420] Looping around the photos to save general results len do output : 1 /27393937. before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933428', None, None, None, None, None, '3804806') ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933424', None, None, None, None, None, '3804806') ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933420', None, None, None, None, None, '3804806') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 4 time used for this insertion : 0.0372767448425293 save_final save missing photos in datou_result : time spend for datou_step_exec : 9.03392219543457 time spend to save output : 0.03751230239868164 total time spend for step 7 : 9.071434497833252 step8:final Wed Oct 1 09:28:32 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 We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! complete output_args for input 2 VR 22-3-18 : For now we do not clean correctly the datou structure Beginning of datou step final ! Catched exception ! Connect or reconnect ! Inside saveOutput : final : False verbose : 0 original output for save of step final : {1386933428: ('0.1614377838643691',), 1386933424: ('0.1614377838643691',), 1386933420: ('0.1614377838643691',)} new output for save of step final : {1386933428: ('0.1614377838643691',), 1386933424: ('0.1614377838643691',), 1386933420: ('0.1614377838643691',)} [1386933428, 1386933424, 1386933420] Looping around the photos to save general results len do output : 3 /1386933428.Didn't retrieve data . /1386933424.Didn't retrieve data . /1386933420.Didn't retrieve data . before output type Used above Used above Managing all output in save final without adding information in the mtr_datou_result ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933428', None, None, None, None, None, '3804806') ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933424', None, None, None, None, None, '3804806') ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933420', None, None, None, None, None, '3804806') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 9 time used for this insertion : 0.03880739212036133 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.4323732852935791 time spend to save output : 0.03908562660217285 total time spend for step 8 : 0.47145891189575195 step9:velours_tree Wed Oct 1 09:28:32 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 list_portfolios : 27394450,27394451,27394452,27394467,27394454,27394457,27394456,27394468,27394460,27394462,27394465,27394464,27394466 photo desc type : 5561 - Retrieving photos to tag... query : SELECT ph.photo_id FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27394450 ORDER BY ph.size desc query : SELECT ph.photo_id FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27394451 ORDER BY ph.size desc query : SELECT ph.photo_id FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27394452 ORDER BY ph.size desc query : SELECT ph.photo_id FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27394467 ORDER BY ph.size desc query : SELECT ph.photo_id FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27394454 ORDER BY ph.size desc query : SELECT ph.photo_id FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27394457 ORDER BY ph.size desc query : SELECT ph.photo_id FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27394456 ORDER BY ph.size desc query : SELECT ph.photo_id FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27394468 ORDER BY ph.size desc query : SELECT ph.photo_id FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27394460 ORDER BY ph.size desc query : SELECT ph.photo_id FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27394462 ORDER BY ph.size desc query : SELECT ph.photo_id FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27394465 ORDER BY ph.size desc query : SELECT ph.photo_id FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27394464 ORDER BY ph.size desc query : SELECT ph.photo_id FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27394466 ORDER BY ph.size desc - Loading descriptors... Size : 2048 len(descriptors) : 313 Compute structured hierarchical clustering... ward : AgglomerativeClustering(n_clusters=6) ward.labels_ : [2 0 5 0 5 0 3 1 5 1 1 1 0 0 3 0 4 3 0 0 0 3 5 0 0 3 0 3 3 3 0 1 3 0 3 1 0 0 1 0 0 4 4 4 0 0 1 0 5 0 1 1 3 0 4 1 0 0 0 3 3 2 2 4 0 0 5 0 0 5 5 3 5 3 5 1 0 0 3 5 3 0 3 0 0 0 0 0 0 5 0 3 0 4 0 0 3 0 0 3 3 0 0 0 3 3 0 4 0 0 0 0 0 0 1 1 4 1 3 0 0 2 2 2 3 0 0 1 3 5 0 0 5 4 5 1 0 5 1 1 0 0 0 0 0 5 0 0 3 3 0 0 5 5 3 3 3 0 0 5 3 3 0 0 0 3 0 0 4 1 0 0 1 0 0 1 0 0 0 2 2 1 1 3 0 3 0 1 1 1 1 4 3 1 0 0 0 0 3 2 2 2 4 0 0 0 1 5 3 0 0 3 1 0 5 0 0 0 3 0 0 0 0 2 0 0 0 4 5 1 0 0 3 1 5 3 1 5 4 1 0 0 0 1 1 0 0 0 0 0 1 0 5 0 1 5 5 0 1 4 3 1 5 5 5 4 3 1 3 3 0 3 1 5 5 5 5 5 3 1 3 2 4 0 0 0 5 1 5 1 0 0 0 2 0 4 0 3 0 0 0 5 0 0 2 0 0 1 0 3 4 4 0] Elapsed time: 0.05757284164428711 graph_id used : 121904 - Beta version, working pretty good on 11-5-16 ! https://marlene.fotonower.com/velours/27394450,27394451,27394452,27394467,27394454,27394457,27394456,27394468,27394460,27394462,27394465,27394464,27394466?tags=metal,mal_croppe,refus,pet_fonce,tetrapak,pehd,environnement,papier,pet_clair,flou,carton,autre,film_plastique&datou_id_consolidate=4235&port_consolidate=27393937&tree_id=121904 Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : velours_tree we use saveGeneral [1386933428, 1386933424, 1386933420] Looping around the photos to save general results len do output : 1 /27393937Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933428', None, None, None, None, None, '3804806') ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933424', None, None, None, None, None, '3804806') ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933420', None, None, None, None, None, '3804806') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 4 time used for this insertion : 0.03776049613952637 save_final save missing photos in datou_result : time spend for datou_step_exec : 43.53158950805664 time spend to save output : 0.038008689880371094 total time spend for step 9 : 43.56959819793701 step10:send_mail_cod Wed Oct 1 09:29:16 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 Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 complete output_args for input 1 Inconsistent number of input and output, step which parrallelize and manage error in input by avoiding sending an output for this data can't be used in tree dependencies of input and output complete output_args for input 2 complete output_args for input 3 We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure dans la step send mail cod work_area: /home/admin in order to get the selector url, please entre the license of selector results_Qualipapia_P27393937_01-10-2025_09_29_16.pdf 27394431 change filename to text .change filename to text .imagette273944311759303756 27394432 imagette273944321759303756 27394433 imagette273944331759303756 27394447 imagette273944471759303756 27394435 imagette273944351759303756 27394438 imagette273944381759303756 27394448 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette273944481759303756 27394441 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette273944411759303758 27394442 imagette273944421759303759 27394445 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette273944451759303759 27394444 change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .change filename to text .imagette273944441759303760 27394446 imagette273944461759303762 SELECT h.hashtag,pcr.value FROM MTRUser.portfolio_carac_ratio pcr, MTRBack.hashtags h where pcr.portfolio_id=27393937 and hashtag_type = 4230 and pcr.hashtag_id = h.hashtag_id; velour_link : https://marlene.fotonower.com/velours/27394450,27394451,27394452,27394467,27394454,27394457,27394456,27394468,27394460,27394462,27394465,27394464,27394466?tags=metal,mal_croppe,refus,pet_fonce,tetrapak,pehd,environnement,papier,pet_clair,flou,carton,autre,film_plastique&datou_id_consolidate=4235&port_consolidate=27393937&tree_id=121904 your option no_mail is active, we will not send the real mail to your client args[1386933428] : ((1386933428, -7.239886390844277, 492609224), (1386933428, -0.5153537047392374, 501862349), '0.1614377838643691') We are sending mail with results at cod@fotonower.com args[1386933424] : ((1386933424, -7.174511449433237, 492609224), (1386933424, -0.42950800955816615, 496442774), '0.1614377838643691') We are sending mail with results at cod@fotonower.com args[1386933420] : ((1386933420, -7.337254942458451, 492609224), (1386933420, -0.3831321204168621, 496442774), '0.1614377838643691') We are sending mail with results at cod@fotonower.com refus_total : 0.1614377838643691 2022-04-13 10:29:59 0 SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=27393937 AND mpp.hide_status=0 ORDER BY mpp.order LIMIT 0, 1000 start upload file to ovh https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P27393937_01-10-2025_09_29_16.pdf results_Qualipapia_P27393937_01-10-2025_09_29_16.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P27393937_01-10-2025_09_29_16.pdf start insert file to database insert into MTRUser.mtr_files (mtd_id,mtr_portfolio_id,text,url,format,tags,file_size,value) values ('4234','27393937','results_Qualipapia_P27393937_01-10-2025_09_29_16.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Qualipapia_P27393937_01-10-2025_09_29_16.pdf','pdf','','0.17','0.1614377838643691') Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : send_mail_cod we use saveGeneral [1386933428, 1386933424, 1386933420] Looping around the photos to save general results len do output : 0 before output type Used above Managing all output in save final without adding information in the mtr_datou_result ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933428', None, None, None, None, None, '3804806') ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933424', None, None, None, None, None, '3804806') ('4234', None, None, None, None, None, None, None, '3804806') ('4234', '27393937', '1386933420', None, None, None, None, None, '3804806') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 3 time used for this insertion : 0.03684639930725098 save_final save missing photos in datou_result : time spend for datou_step_exec : 7.08392333984375 time spend to save output : 0.03701305389404297 total time spend for step 10 : 7.120936393737793 step11:split_time_score Wed Oct 1 09:29:23 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 We 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 begin split time score Catched exception ! Connect or reconnect ! dashboard list : (('dechet_Valcor_v2',), ('test_merge_valcor1',)) retrieve run info from multi dashboard, please check Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1386933428, 1386933424, 1386933420] Looping around the photos to save general results object of type 'int' has no len() begin to insert list_values into mtr_datou_result : length of list_values in save_final : 3 time used for this insertion : 0.03574371337890625 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.3301355838775635 time spend to save output : 0.03584861755371094 total time spend for step 11 : 0.3659842014312744 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 3 set_done_treatment 44.05user 29.09system 4:53.36elapsed 24%CPU (0avgtext+0avgdata 3195096maxresident)k 713680inputs+19576outputs (283major+3059846minor)pagefaults 0swaps