python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 8 -a ' -a 4741 -l 30 ' -s datou_current_4741 -M 0 -S 0 -U 95,95,120 import MySQLdb succeeded Import error (python version) ['/Users/moilerat/Documents/Fotonower/install/caffe/distribute/python', '/home/admin/workarea/git/Velours/python/prod', '/home/admin/workarea/install/caffe_cuda8_python3/python', '/home/admin/workarea/install/darknet', '/home/admin/workarea/git/Velours/python', '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python', '/home/admin/mtr/.credentials', '/home/admin/workarea/install/caffe/python', '/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools', '/home/admin/workarea/git/fotonowerpip', '/home/admin/workarea/install/segment-anything', '/home/admin/workarea/git/pyfvs', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/admin/.local/lib/python3.8/site-packages', '/usr/local/lib/python3.8/dist-packages', '/usr/lib/python3/dist-packages'] process id : 2181210 load datou : 4741 # 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 13156 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 13160 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 13160 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 13158 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13158 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13157 crop_condition is not consistent : 4 used against 2 in the step definition ! WARNING : number of outputs for step 13157 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 13161 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13159 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 13159 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 13156 doesn't seem to be define in the database( WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13161 doesn't seem to be define in the database( WARNING : type of input 3 of step 13159 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( WARNING : output 0 of step 13163 have datatype=6 whereas input 2 of step 13157 have datatype=None WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( WARNING : output 0 of step 13162 have datatype=6 whereas input 2 of step 13157 have datatype=None We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13161 have datatype=10 whereas input 3 of step 13164 have datatype=6 WARNING : output 0 of step 13161 have datatype=10 whereas input 0 of step 13166 have datatype=18 WARNING : type of input 5 of step 13164 doesn't seem to be define in the database( WARNING : output 0 of step 13166 have datatype=11 whereas input 5 of step 13164 have datatype=None WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( WARNING : output 1 of step 13158 have datatype=7 whereas input 2 of step 13157 have datatype=None WARNING : type of output 3 of step 13157 doesn't seem to be define in the database( WARNING : type of input 3 of step 13161 doesn't seem to be define in the database( WARNING : type of output 2 of step 13160 doesn't seem to be define in the database( WARNING : type of input 1 of step 13163 doesn't seem to be define in the database( WARNING : type of output 2 of step 13160 doesn't seem to be define in the database( WARNING : type of input 1 of step 13162 doesn't seem to be define in the database( DataTypes for each output/input checked ! Unexpected type for variable list_input_json ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0) Tried to parse : chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? [(photo_id, hashtag_id, hashtag_type, x0, x1, y0, y1, score, seg_temp, polygons), ...] was removed should we ? chemin de la photo was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? [(photo_id, hashtag_id, hashtag_type, x0, x1, y0, y1, score, seg_temp, polygons), ...] was removed should we ? chemin de la photo was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? chemin de la photo was removed should we ? donnée sous forme de texte was removed should we ? [ (photo_id, photo_id_loc, hashtag_type, x0, x1, y0, y1, score), ...] was removed should we ? [ (photo_id_loc, hashtag_id, hashtag_type, x0, x1, y0, y1, score, None), ...] was removed should we ? chemin de la photo was removed should we ? id de la photo (peut être local ou global) was removed should we ? chemin de la photo was removed should we ? (x0, y0, x1, y1) was removed should we ? None was removed should we ? donnée sous forme de texte was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? id de la photo (peut être local ou global) was removed should we ? donnée sous forme de texte was removed should we ? donnée sous forme de texte was removed should we ? donnée sous forme de texte was removed should we ? None was removed should we ? donnée sous forme de nombre was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? donnée sous forme de texte was removed should we ? None was removed should we ? donnée sous forme de texte was removed should we ? [ptf_id0,ptf_id1...] was removed should we ? FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5732, 'mask_refus_amiens_050123', 16384, 25088, 'mask_refus_amiens_050123', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2023, 1, 5, 13, 23, 59), datetime.datetime(2023, 1, 5, 13, 23, 59)) FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5972, 'learn_entrant_syctomXV_111023', 16384, 25088, 'learn_entrant_syctomXV_111023', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2023, 10, 11, 15, 57, 35), datetime.datetime(2023, 10, 11, 15, 57, 35)) load thcls load THCL from format json or kwargs add thcl : 3453 in CacheModelConfig load THCL from format json or kwargs add thcl : 3783 in CacheModelConfig load pdts add pdt : 5732 in CacheModelConfig add pdt : 5972 in CacheModelConfig Running datou job : batch_current TODO datou_current to load to do maybe to take outside batchDatouExec updating current state to 1 list_input_json: [] Current got : datou_id : 4741, datou_cur_ids : ['2710348'] with mtr_portfolio_ids : ['21921448'] and first list_photo_ids : [] new path : /proc/2181210/ 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 13156 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 13160 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 13160 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 13158 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13158 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13157 crop_condition is not consistent : 4 used against 2 in the step definition ! WARNING : number of outputs for step 13157 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 13161 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13159 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 13159 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 13156 doesn't seem to be define in the database( WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13161 doesn't seem to be define in the database( WARNING : type of input 3 of step 13159 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( WARNING : output 0 of step 13163 have datatype=6 whereas input 2 of step 13157 have datatype=None WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( WARNING : output 0 of step 13162 have datatype=6 whereas input 2 of step 13157 have datatype=None We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13161 have datatype=10 whereas input 3 of step 13164 have datatype=6 WARNING : output 0 of step 13161 have datatype=10 whereas input 0 of step 13166 have datatype=18 WARNING : type of input 5 of step 13164 doesn't seem to be define in the database( WARNING : output 0 of step 13166 have datatype=11 whereas input 5 of step 13164 have datatype=None WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( WARNING : output 1 of step 13158 have datatype=7 whereas input 2 of step 13157 have datatype=None WARNING : type of output 3 of step 13157 doesn't seem to be define in the database( WARNING : type of input 3 of step 13161 doesn't seem to be define in the database( WARNING : type of output 2 of step 13160 doesn't seem to be define in the database( WARNING : type of input 1 of step 13163 doesn't seem to be define in the database( WARNING : type of output 2 of step 13160 doesn't seem to be define in the database( WARNING : type of input 1 of step 13162 doesn't seem to be define in the database( DataTypes for each output/input checked ! List Step Type Loaded in datou : mask_detect, mask_detect, blur_detection, brightness, rle_unique_nms_with_priority, crop_condition, ventilate_hashtags_in_portfolio, final, velours_tree, send_mail_cod, split_time_score list_input_json : [] origin We have 1 , BFBFBFBFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 10 ; length of list_pids : 10 ; length of list_args : 10 time to download the photos : 3.443788528442383 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 Tue Apr 1 01:41:32 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 Beginning of datou step mask_detect ! save_polygon : True begin detect begin to check gpu status inside check gpu memory havn't enough memory gpu , need / 3000 l 3632 free memory gpu now : 334 wait 20 seconds l 3637 free memory gpu now : 334 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-04-01 01:41:57.532289: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-04-01 01:41:57.571234: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-04-01 01:41:57.574017: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f7a90000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-04-01 01:41:57.574110: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-04-01 01:41:57.580377: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-04-01 01:41:57.793660: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2cebe100 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-04-01 01:41:57.793763: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-04-01 01:41:57.795940: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-04-01 01:41:57.797152: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-01 01:41:57.813075: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-01 01:41:57.832813: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-01 01:41:57.835781: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-01 01:41:57.844514: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-01 01:41:57.848981: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-01 01:41:57.876142: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-01 01:41:57.878255: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-01 01:41:57.879105: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-01 01:41:57.880235: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-01 01:41:57.880264: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-01 01:41:57.880288: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-01 01:41:57.883095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 4843 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead. 2025-04-01 01:41:58.424117: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-04-01 01:41:58.424306: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-01 01:41:58.424328: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-01 01:41:58.424344: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-01 01:41:58.424360: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-01 01:41:58.424376: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-01 01:41:58.424391: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-01 01:41:58.424406: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-01 01:41:58.425614: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-01 01:41:58.427923: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-04-01 01:41:58.428123: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-04-01 01:41:58.428143: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-01 01:41:58.428179: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-04-01 01:41:58.428195: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-04-01 01:41:58.428210: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-04-01 01:41:58.428224: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-04-01 01:41:58.428240: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-04-01 01:41:58.429401: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-04-01 01:41:58.429503: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-04-01 01:41:58.429515: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-04-01 01:41:58.429525: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-04-01 01:41:58.430748: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 4843 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 : thcl3783 thcls : [{'id': 3783, 'mtr_user_id': 31, 'name': 'learn_entrant_syctomXV_111023', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,sac,textiles,verre,organique,dasri,masque,encombrant,autre_emballage,autre_non_emballage,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 4853, 'photo_desc_type': 5972, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0'}] thcl {'id': 3783, 'mtr_user_id': 31, 'name': 'learn_entrant_syctomXV_111023', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,sac,textiles,verre,organique,dasri,masque,encombrant,autre_emballage,autre_non_emballage,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 4853, 'photo_desc_type': 5972, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 5972 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5972, 'learn_entrant_syctomXV_111023', 16384, 25088, 'learn_entrant_syctomXV_111023', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2023, 10, 11, 15, 57, 35), datetime.datetime(2023, 10, 11, 15, 57, 35)) {'thcl': {'id': 3783, 'mtr_user_id': 31, 'name': 'learn_entrant_syctomXV_111023', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,sac,textiles,verre,organique,dasri,masque,encombrant,autre_emballage,autre_non_emballage,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 4853, 'photo_desc_type': 5972, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['background', 'sac', 'textiles', 'verre', 'organique', 'dasri', 'masque', 'encombrant', 'autre_emballage', 'autre_non_emballage', 'environnement'], 'list_hashtags_csv': 'background,sac,textiles,verre,organique,dasri,masque,encombrant,autre_emballage,autre_non_emballage,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 4853, 'svm_hashtag_type_desc': 5972, 'photo_desc_type': 5972, 'pb_hashtag_id_or_classifier': 0} list_class_names : ['background', 'sac', 'textiles', 'verre', 'organique', 'dasri', 'masque', 'encombrant', 'autre_emballage', 'autre_non_emballage', '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_entrant_syctomXV_111023 NUM_CLASSES 11 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_entrant_syctomXV_111023 model_type : mask_rcnn list file need : ['mask_model.h5'] file exist in s3 : ['mask_model.h5'] file manque in s3 : [] 2025-04-01 01:42:14.115837: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-01 01:42:14.474426: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 local folder : /data/models_weight/learn_entrant_syctomXV_111023 /data/models_weight/learn_entrant_syctomXV_111023/mask_model.h5 size_local : 256052544 size in s3 : 256052544 create time local : 2023-10-26 16:36:43 create time in s3 : 2023-10-11 13:57:17 mask_model.h5 already exist and didn't need to update list_images length : 10 NEW PHOTO Processing 1 images image shape: (4160, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 19) min: 0.00000 max: 4160.00000 nb d'objets trouves : 6 NEW PHOTO Processing 1 images image shape: (4160, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 19) min: 0.00000 max: 4160.00000 nb d'objets trouves : 7 NEW PHOTO Processing 1 images image shape: (4160, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 19) min: 0.00000 max: 4160.00000 nb d'objets trouves : 13 NEW PHOTO Processing 1 images image shape: (4160, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 19) min: 0.00000 max: 4160.00000 nb d'objets trouves : 19 NEW PHOTO Processing 1 images image shape: (4160, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 19) min: 0.00000 max: 4160.00000 nb d'objets trouves : 6 NEW PHOTO Processing 1 images image shape: (4160, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 19) min: 0.00000 max: 4160.00000 nb d'objets trouves : 9 NEW PHOTO Processing 1 images image shape: (4160, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 19) min: 0.00000 max: 4160.00000 nb d'objets trouves : 9 NEW PHOTO Processing 1 images image shape: (4160, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 19) min: 0.00000 max: 4160.00000 nb d'objets trouves : 29 NEW PHOTO Processing 1 images image shape: (4160, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 19) min: 0.00000 max: 4160.00000 nb d'objets trouves : 21 NEW PHOTO Processing 1 images image shape: (4160, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 19) min: 0.00000 max: 4160.00000 nb d'objets trouves : 7 Detection mask done ! Trying to reset tf kernel 2183719 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 15 tf kernel not reseted sub process len(results) : 10 len(list_Values) 0 None max_time_sub_proc : 3600 parent process len(results) : 10 len(list_Values) 0 process is alive finish correctly or not : True after detect begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 5304 list_Values should be empty [] To do loadFromThcl(), then load ParamDescType : thcl3783 Catched exception ! Connect or reconnect ! thcls : [{'id': 3783, 'mtr_user_id': 31, 'name': 'learn_entrant_syctomXV_111023', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,sac,textiles,verre,organique,dasri,masque,encombrant,autre_emballage,autre_non_emballage,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 4853, 'photo_desc_type': 5972, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0'}] thcl {'id': 3783, 'mtr_user_id': 31, 'name': 'learn_entrant_syctomXV_111023', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,sac,textiles,verre,organique,dasri,masque,encombrant,autre_emballage,autre_non_emballage,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 4853, 'photo_desc_type': 5972, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 5972 ['background', 'sac', 'textiles', 'verre', 'organique', 'dasri', 'masque', 'encombrant', 'autre_emballage', 'autre_non_emballage', 'environnement'] time for calcul the mask position with numpy : 0.0006608963012695312 nb_pixel_total : 17544 time to create 1 rle with old method : 0.024371862411499023 length of segment : 181 time for calcul the mask position with numpy : 0.0013744831085205078 nb_pixel_total : 55822 time to create 1 rle with old method : 0.06403827667236328 length of segment : 227 time for calcul the mask position with numpy : 0.0005137920379638672 nb_pixel_total : 24571 time to create 1 rle with old method : 0.028171062469482422 length of segment : 167 time for calcul the mask position with numpy : 0.0007190704345703125 nb_pixel_total : 28365 time to create 1 rle with old method : 0.0321660041809082 length of segment : 308 time for calcul the mask position with numpy : 0.0005242824554443359 nb_pixel_total : 32520 time to create 1 rle with old method : 0.04225301742553711 length of segment : 184 time for calcul the mask position with numpy : 0.0005517005920410156 nb_pixel_total : 37027 time to create 1 rle with old method : 0.04432535171508789 length of segment : 156 time for calcul the mask position with numpy : 0.0012102127075195312 nb_pixel_total : 73696 time to create 1 rle with old method : 0.08423089981079102 length of segment : 335 time for calcul the mask position with numpy : 0.004326581954956055 nb_pixel_total : 191018 time to create 1 rle with new method : 0.010402441024780273 length of segment : 857 time for calcul the mask position with numpy : 0.0023500919342041016 nb_pixel_total : 151755 time to create 1 rle with new method : 0.008784055709838867 length of segment : 472 time for calcul the mask position with numpy : 0.0008065700531005859 nb_pixel_total : 44833 time to create 1 rle with old method : 0.05305123329162598 length of segment : 352 time for calcul the mask position with numpy : 0.0006020069122314453 nb_pixel_total : 21296 time to create 1 rle with old method : 0.02502155303955078 length of segment : 190 time for calcul the mask position with numpy : 0.00038695335388183594 nb_pixel_total : 16712 time to create 1 rle with old method : 0.019796371459960938 length of segment : 98 time for calcul the mask position with numpy : 0.002486705780029297 nb_pixel_total : 126147 time to create 1 rle with old method : 0.1483306884765625 length of segment : 558 time for calcul the mask position with numpy : 0.001483917236328125 nb_pixel_total : 69511 time to create 1 rle with old method : 0.0818483829498291 length of segment : 275 time for calcul the mask position with numpy : 0.0003933906555175781 nb_pixel_total : 10429 time to create 1 rle with old method : 0.012511968612670898 length of segment : 152 time for calcul the mask position with numpy : 0.000759124755859375 nb_pixel_total : 19285 time to create 1 rle with old method : 0.02331399917602539 length of segment : 188 time for calcul the mask position with numpy : 0.5940284729003906 nb_pixel_total : 795448 time to create 1 rle with new method : 0.10207104682922363 length of segment : 1442 time for calcul the mask position with numpy : 0.0009551048278808594 nb_pixel_total : 26307 time to create 1 rle with old method : 0.03037405014038086 length of segment : 182 time for calcul the mask position with numpy : 0.0009071826934814453 nb_pixel_total : 10494 time to create 1 rle with old method : 0.012968301773071289 length of segment : 190 time for calcul the mask position with numpy : 0.007394075393676758 nb_pixel_total : 280935 time to create 1 rle with new method : 0.015759706497192383 length of segment : 763 time for calcul the mask position with numpy : 0.0005643367767333984 nb_pixel_total : 9152 time to create 1 rle with old method : 0.017601490020751953 length of segment : 94 time for calcul the mask position with numpy : 0.0013995170593261719 nb_pixel_total : 27530 time to create 1 rle with old method : 0.031377315521240234 length of segment : 378 time for calcul the mask position with numpy : 0.0033235549926757812 nb_pixel_total : 54000 time to create 1 rle with old method : 0.06676483154296875 length of segment : 349 time for calcul the mask position with numpy : 0.0009677410125732422 nb_pixel_total : 28877 time to create 1 rle with old method : 0.034224510192871094 length of segment : 299 time for calcul the mask position with numpy : 0.0270688533782959 nb_pixel_total : 780139 time to create 1 rle with new method : 0.11590719223022461 length of segment : 1532 time for calcul the mask position with numpy : 0.0006482601165771484 nb_pixel_total : 10948 time to create 1 rle with old method : 0.012601375579833984 length of segment : 192 time for calcul the mask position with numpy : 0.0018465518951416016 nb_pixel_total : 50854 time to create 1 rle with old method : 0.05929112434387207 length of segment : 372 time for calcul the mask position with numpy : 0.0021724700927734375 nb_pixel_total : 75912 time to create 1 rle with old method : 0.08465957641601562 length of segment : 557 time for calcul the mask position with numpy : 0.003026247024536133 nb_pixel_total : 71963 time to create 1 rle with old method : 0.08062028884887695 length of segment : 426 time for calcul the mask position with numpy : 0.001495361328125 nb_pixel_total : 34759 time to create 1 rle with old method : 0.042848825454711914 length of segment : 246 time for calcul the mask position with numpy : 0.005146980285644531 nb_pixel_total : 138543 time to create 1 rle with old method : 0.1555619239807129 length of segment : 415 time for calcul the mask position with numpy : 0.0017943382263183594 nb_pixel_total : 52692 time to create 1 rle with old method : 0.06035900115966797 length of segment : 292 time for calcul the mask position with numpy : 0.004179239273071289 nb_pixel_total : 141549 time to create 1 rle with old method : 0.1631629467010498 length of segment : 404 time for calcul the mask position with numpy : 0.0020532608032226562 nb_pixel_total : 63244 time to create 1 rle with old method : 0.08579444885253906 length of segment : 239 time for calcul the mask position with numpy : 0.0006947517395019531 nb_pixel_total : 10131 time to create 1 rle with old method : 0.012344121932983398 length of segment : 128 time for calcul the mask position with numpy : 0.0017132759094238281 nb_pixel_total : 29646 time to create 1 rle with old method : 0.036623477935791016 length of segment : 311 time for calcul the mask position with numpy : 0.003315448760986328 nb_pixel_total : 85949 time to create 1 rle with old method : 0.09714102745056152 length of segment : 270 time for calcul the mask position with numpy : 0.001313924789428711 nb_pixel_total : 22890 time to create 1 rle with old method : 0.027470827102661133 length of segment : 331 time for calcul the mask position with numpy : 0.0113067626953125 nb_pixel_total : 257878 time to create 1 rle with new method : 0.022147417068481445 length of segment : 884 time for calcul the mask position with numpy : 0.0037794113159179688 nb_pixel_total : 143898 time to create 1 rle with old method : 0.16847777366638184 length of segment : 398 time for calcul the mask position with numpy : 0.0002167224884033203 nb_pixel_total : 5537 time to create 1 rle with old method : 0.006609201431274414 length of segment : 68 time for calcul the mask position with numpy : 0.0007731914520263672 nb_pixel_total : 23444 time to create 1 rle with old method : 0.02763843536376953 length of segment : 326 time for calcul the mask position with numpy : 0.0036773681640625 nb_pixel_total : 100249 time to create 1 rle with old method : 0.1180574893951416 length of segment : 510 time for calcul the mask position with numpy : 0.0015125274658203125 nb_pixel_total : 29289 time to create 1 rle with old method : 0.03361988067626953 length of segment : 312 time for calcul the mask position with numpy : 0.0018627643585205078 nb_pixel_total : 54250 time to create 1 rle with old method : 0.06345224380493164 length of segment : 219 time for calcul the mask position with numpy : 0.0017170906066894531 nb_pixel_total : 60682 time to create 1 rle with old method : 0.06853485107421875 length of segment : 294 time for calcul the mask position with numpy : 0.0026597976684570312 nb_pixel_total : 79482 time to create 1 rle with old method : 0.0892338752746582 length of segment : 760 time for calcul the mask position with numpy : 0.0009725093841552734 nb_pixel_total : 51827 time to create 1 rle with old method : 0.05931496620178223 length of segment : 158 time for calcul the mask position with numpy : 0.0016808509826660156 nb_pixel_total : 73713 time to create 1 rle with old method : 0.08314251899719238 length of segment : 316 time for calcul the mask position with numpy : 0.0027551651000976562 nb_pixel_total : 141918 time to create 1 rle with old method : 0.16336917877197266 length of segment : 357 time for calcul the mask position with numpy : 0.0022726058959960938 nb_pixel_total : 142702 time to create 1 rle with old method : 0.17996931076049805 length of segment : 323 time for calcul the mask position with numpy : 0.0007731914520263672 nb_pixel_total : 20749 time to create 1 rle with old method : 0.03157830238342285 length of segment : 122 time for calcul the mask position with numpy : 0.0006325244903564453 nb_pixel_total : 8189 time to create 1 rle with old method : 0.012369871139526367 length of segment : 147 time for calcul the mask position with numpy : 0.003444194793701172 nb_pixel_total : 115890 time to create 1 rle with old method : 0.15190386772155762 length of segment : 380 time for calcul the mask position with numpy : 0.0012013912200927734 nb_pixel_total : 33351 time to create 1 rle with old method : 0.038364410400390625 length of segment : 227 time for calcul the mask position with numpy : 0.0010809898376464844 nb_pixel_total : 37625 time to create 1 rle with old method : 0.042710065841674805 length of segment : 231 time for calcul the mask position with numpy : 0.0031919479370117188 nb_pixel_total : 108687 time to create 1 rle with old method : 0.12455368041992188 length of segment : 327 time for calcul the mask position with numpy : 0.0010063648223876953 nb_pixel_total : 30744 time to create 1 rle with old method : 0.0349884033203125 length of segment : 604 time for calcul the mask position with numpy : 0.002307891845703125 nb_pixel_total : 87713 time to create 1 rle with old method : 0.09987831115722656 length of segment : 420 time for calcul the mask position with numpy : 0.0016160011291503906 nb_pixel_total : 87512 time to create 1 rle with old method : 0.0993039608001709 length of segment : 428 time for calcul the mask position with numpy : 0.012467145919799805 nb_pixel_total : 472606 time to create 1 rle with new method : 0.11574554443359375 length of segment : 1048 time for calcul the mask position with numpy : 0.0016219615936279297 nb_pixel_total : 76885 time to create 1 rle with old method : 0.08737421035766602 length of segment : 312 time for calcul the mask position with numpy : 0.0003666877746582031 nb_pixel_total : 6498 time to create 1 rle with old method : 0.007653474807739258 length of segment : 140 time for calcul the mask position with numpy : 0.007957935333251953 nb_pixel_total : 389151 time to create 1 rle with new method : 0.027048826217651367 length of segment : 934 time for calcul the mask position with numpy : 0.003278493881225586 nb_pixel_total : 18192 time to create 1 rle with old method : 0.021245241165161133 length of segment : 289 time for calcul the mask position with numpy : 0.0007922649383544922 nb_pixel_total : 22995 time to create 1 rle with old method : 0.026760578155517578 length of segment : 176 time for calcul the mask position with numpy : 0.00041484832763671875 nb_pixel_total : 12797 time to create 1 rle with old method : 0.014943599700927734 length of segment : 147 time for calcul the mask position with numpy : 0.0008533000946044922 nb_pixel_total : 45499 time to create 1 rle with old method : 0.05183863639831543 length of segment : 291 time for calcul the mask position with numpy : 0.001531362533569336 nb_pixel_total : 56060 time to create 1 rle with old method : 0.06473517417907715 length of segment : 302 time for calcul the mask position with numpy : 0.0018649101257324219 nb_pixel_total : 13970 time to create 1 rle with old method : 0.017096757888793945 length of segment : 147 time for calcul the mask position with numpy : 0.0014111995697021484 nb_pixel_total : 28664 time to create 1 rle with old method : 0.034101247787475586 length of segment : 216 time for calcul the mask position with numpy : 0.0011959075927734375 nb_pixel_total : 18394 time to create 1 rle with old method : 0.022545576095581055 length of segment : 135 time for calcul the mask position with numpy : 0.001516103744506836 nb_pixel_total : 41332 time to create 1 rle with old method : 0.04982447624206543 length of segment : 296 time for calcul the mask position with numpy : 0.0028519630432128906 nb_pixel_total : 77745 time to create 1 rle with old method : 0.09190106391906738 length of segment : 379 time for calcul the mask position with numpy : 0.004698038101196289 nb_pixel_total : 80467 time to create 1 rle with old method : 0.093048095703125 length of segment : 411 time for calcul the mask position with numpy : 0.0008995532989501953 nb_pixel_total : 1244 time to create 1 rle with old method : 0.0025153160095214844 length of segment : 96 time for calcul the mask position with numpy : 0.0011508464813232422 nb_pixel_total : 29925 time to create 1 rle with old method : 0.0346224308013916 length of segment : 227 time for calcul the mask position with numpy : 0.0030853748321533203 nb_pixel_total : 101955 time to create 1 rle with old method : 0.11745333671569824 length of segment : 459 time for calcul the mask position with numpy : 0.005087614059448242 nb_pixel_total : 143046 time to create 1 rle with old method : 0.16104984283447266 length of segment : 466 time for calcul the mask position with numpy : 0.0006144046783447266 nb_pixel_total : 16279 time to create 1 rle with old method : 0.01917123794555664 length of segment : 155 time for calcul the mask position with numpy : 0.0007731914520263672 nb_pixel_total : 24678 time to create 1 rle with old method : 0.028624534606933594 length of segment : 181 time for calcul the mask position with numpy : 0.0021469593048095703 nb_pixel_total : 11798 time to create 1 rle with old method : 0.014733076095581055 length of segment : 127 time for calcul the mask position with numpy : 0.0035936832427978516 nb_pixel_total : 109576 time to create 1 rle with old method : 0.13359570503234863 length of segment : 440 time for calcul the mask position with numpy : 0.001865386962890625 nb_pixel_total : 71111 time to create 1 rle with old method : 0.08295631408691406 length of segment : 289 time for calcul the mask position with numpy : 0.0010898113250732422 nb_pixel_total : 26359 time to create 1 rle with old method : 0.03028273582458496 length of segment : 181 time for calcul the mask position with numpy : 0.0022058486938476562 nb_pixel_total : 28771 time to create 1 rle with old method : 0.03297924995422363 length of segment : 337 time for calcul the mask position with numpy : 0.0005044937133789062 nb_pixel_total : 10926 time to create 1 rle with old method : 0.012925863265991211 length of segment : 86 time for calcul the mask position with numpy : 0.0009663105010986328 nb_pixel_total : 26836 time to create 1 rle with old method : 0.03004622459411621 length of segment : 221 time for calcul the mask position with numpy : 0.0005476474761962891 nb_pixel_total : 4785 time to create 1 rle with old method : 0.00593876838684082 length of segment : 115 time for calcul the mask position with numpy : 0.0010836124420166016 nb_pixel_total : 38774 time to create 1 rle with old method : 0.04523181915283203 length of segment : 235 time for calcul the mask position with numpy : 0.0017364025115966797 nb_pixel_total : 49307 time to create 1 rle with old method : 0.05604910850524902 length of segment : 290 time for calcul the mask position with numpy : 0.00045013427734375 nb_pixel_total : 4377 time to create 1 rle with old method : 0.0052607059478759766 length of segment : 142 time for calcul the mask position with numpy : 0.0011749267578125 nb_pixel_total : 35178 time to create 1 rle with old method : 0.04381680488586426 length of segment : 394 time for calcul the mask position with numpy : 0.0010547637939453125 nb_pixel_total : 29900 time to create 1 rle with old method : 0.034508705139160156 length of segment : 248 time for calcul the mask position with numpy : 0.0007Using 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 : thcl3453 thcls : [{'id': 3453, 'mtr_user_id': 31, 'name': 'mask_refus_amiens_050123', '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': 4485, 'photo_desc_type': 5732, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'}] thcl {'id': 3453, 'mtr_user_id': 31, 'name': 'mask_refus_amiens_050123', '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': 4485, 'photo_desc_type': 5732, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 5732 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5732, 'mask_refus_amiens_050123', 16384, 25088, 'mask_refus_amiens_050123', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2023, 1, 5, 13, 23, 59), datetime.datetime(2023, 1, 5, 13, 23, 59)) {'thcl': {'id': 3453, 'mtr_user_id': 31, 'name': 'mask_refus_amiens_050123', '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': 4485, 'photo_desc_type': 5732, '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': 4485, 'svm_hashtag_type_desc': 5732, 'photo_desc_type': 5732, '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 mask_refus_amiens_050123 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 : mask_refus_amiens_050123 model_type : mask_rcnn list file need : ['mask_model.h5'] file exist in s3 : ['mask_model.h5'] file manque in s3 : [] 2025-04-01 01:44:09.788753: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-04-01 01:44:10.262319: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 local folder : /data/models_weight/mask_refus_amiens_050123 /data/models_weight/mask_refus_amiens_050123/mask_model.h5 size_local : 256009536 size in s3 : 256009536 create time local : 2023-01-05 13:44:07 create time in s3 : 2023-01-05 12:23:52 mask_model.h5 already exist and didn't need to update list_images length : 10 NEW PHOTO Processing 1 images image shape: (4160, 3120, 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: 4160.00000 nb d'objets trouves : 79 NEW PHOTO Processing 1 images image shape: (4160, 3120, 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: 4160.00000 nb d'objets trouves : 70 NEW PHOTO Processing 1 images image shape: (4160, 3120, 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: 4160.00000 nb d'objets trouves : 72 NEW PHOTO Processing 1 images image shape: (4160, 3120, 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: 4160.00000 nb d'objets trouves : 79 NEW PHOTO Processing 1 images image shape: (4160, 3120, 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: 4160.00000 nb d'objets trouves : 78 NEW PHOTO Processing 1 images image shape: (4160, 3120, 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: 4160.00000 nb d'objets trouves : 85 NEW PHOTO Processing 1 images image shape: (4160, 3120, 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: 4160.00000 nb d'objets trouves : 72 NEW PHOTO Processing 1 images image shape: (4160, 3120, 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: 4160.00000 nb d'objets trouves : 66 NEW PHOTO Processing 1 images image shape: (4160, 3120, 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: 4160.00000 nb d'objets trouves : 84 NEW PHOTO Processing 1 images image shape: (4160, 3120, 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: 4160.00000 nb d'objets trouves : 9 Detection mask done ! Trying to reset tf kernel 2190199 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 15 tf kernel not reseted sub process len(results) : 10 len(list_Values) 0 None max_time_sub_proc : 3600 parent process len(results) : 10 len(list_Values) 0 process is alive process is alive finish correctly or not : True after detect begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 10593 list_Values should be empty [] To do loadFromThcl(), then load ParamDescType : thcl3453 Catched exception ! Connect or reconnect ! thcls : [{'id': 3453, 'mtr_user_id': 31, 'name': 'mask_refus_amiens_050123', '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': 4485, 'photo_desc_type': 5732, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'}] thcl {'id': 3453, 'mtr_user_id': 31, 'name': 'mask_refus_amiens_050123', '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': 4485, 'photo_desc_type': 5732, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 5732 ['background', 'papier', 'carton', 'metal', 'pet_clair', 'autre', 'pehd', 'pet_fonce', 'environnement'] time for calcul the mask position with numpy : 0.5929477214813232 nb_pixel_total : 135867 time to create 1 rle with old method : 0.17563772201538086 length of segment : 560 time for calcul the mask position with numpy : 0.30605578422546387 nb_pixel_total : 109868 time to create 1 rle with old method : 0.1607823371887207 length of segment : 357 time for calcul the mask position with numpy : 1.222952127456665 nb_pixel_total : 335885 time to create 1 rle with new method : 0.03206276893615723 length of segment : 519 time for calcul the mask position with numpy : 0.5957295894622803 nb_pixel_total : 223251 time to create 1 rle with new method : 0.011735916137695312 length of segment : 412 time for calcul the mask position with numpy : 0.2567143440246582 nb_pixel_total : 67493 time to create 1 rle with old method : 0.08224201202392578 length of segment : 220 time for calcul the mask position with numpy : 0.813399076461792 nb_pixel_total : 369780 time to create 1 rle with new method : 0.026854753494262695 length of segment : 677 time for calcul the mask position with numpy : 0.4159128665924072 nb_pixel_total : 107772 time to create 1 rle with old method : 0.14618206024169922 length of segment : 567 time for calcul the mask position with numpy : 0.5135970115661621 nb_pixel_total : 174013 time to create 1 rle with new method : 0.011271476745605469 length of segment : 544 time for calcul the mask position with numpy : 0.6923935413360596 nb_pixel_total : 276895 time to create 1 rle with new method : 0.019266843795776367 length of segment : 632 time for calcul the mask position with numpy : 0.22272372245788574 nb_pixel_total : 67148 time to create 1 rle with old method : 0.07931852340698242 length of segment : 348 time for calcul the mask position with numpy : 0.2224118709564209 nb_pixel_total : 70911 time to create 1 rle with old method : 0.07721543312072754 length of segment : 496 time for calcul the mask position with numpy : 1.3317244052886963 nb_pixel_total : 389518 time to create 1 rle with new method : 0.02662825584411621 length of segment : 696 time for calcul the mask position with numpy : 0.4555351734161377 nb_pixel_total : 127571 time to create 1 rle with old method : 0.16494083404541016 length of segment : 633 time for calcul the mask position with numpy : 0.2854442596435547 nb_pixel_total : 98239 time to create 1 rle with old method : 0.11570262908935547 length of segment : 629 time for calcul the mask position with numpy : 0.20029091835021973 nb_pixel_total : 66769 time to create 1 rle with old method : 0.08340001106262207 length of segment : 261 time for calcul the mask position with numpy : 0.4330923557281494 nb_pixel_total : 102247 time to create 1 rle with old method : 0.12489986419677734 length of segment : 352 time for calcul the mask position with numpy : 0.8642570972442627 nb_pixel_total : 357151 time to create 1 rle with new method : 0.021098852157592773 length of segment : 948 time for calcul the mask position with numpy : 0.5315871238708496 nb_pixel_total : 236972 time to create 1 rle with new method : 0.037648677825927734 length of segment : 651 time for calcul the mask position with numpy : 0.7079155445098877 nb_pixel_total : 174185 time to create 1 rle with new method : 0.014920949935913086 length of segment : 597 time for calcul the mask position with numpy : 0.3245241641998291 nb_pixel_total : 293456 time to create 1 rle with new method : 0.025772809982299805 length of segment : 594 time for calcul the mask position with numpy : 0.3764045238494873 nb_pixel_total : 165659 time to create 1 rle with new method : 0.01251840591430664 length of segment : 332 time for calcul the mask position with numpy : 0.8767931461334229 nb_pixel_total : 206841 time to create 1 rle with new method : 0.01865696907043457 length of segment : 516 time for calcul the mask position with numpy : 1.0343966484069824 nb_pixel_total : 192217 time to create 1 rle with new method : 0.029990196228027344 length of segment : 574 time for calcul the mask position with numpy : 0.14406418800354004 nb_pixel_total : 105521 time to create 1 rle with old method : 0.13149762153625488 length of segment : 755 time for calcul the mask position with numpy : 0.15589118003845215 nb_pixel_total : 48934 time to create 1 rle with old method : 0.06269097328186035 length of segment : 309 time for calcul the mask position with numpy : 0.30812621116638184 nb_pixel_total : 221895 time to create 1 rle with new method : 0.025401592254638672 length of segment : 559 time for calcul the mask position with numpy : 0.16335344314575195 nb_pixel_total : 200861 time to create 1 rle with new method : 0.026868820190429688 length of segment : 735 time for calcul the mask position with numpy : 0.17624831199645996 nb_pixel_total : 128391 time to create 1 rle with old method : 0.18418240547180176 length of segment : 474 time for calcul the mask position with numpy : 0.19083166122436523 nb_pixel_total : 133257 time to create 1 rle with old method : 0.17940378189086914 length of segment : 234 time for calcul the mask position with numpy : 0.42984867095947266 nb_pixel_total : 355552 time to create 1 rle with new method : 0.02680826187133789 length of segment : 722 time for calcul the mask position with numpy : 0.005465507507324219 nb_pixel_total : 35312 time to create 1 rle with old method : 0.041022300720214844 length of segment : 258 time for calcul the mask position with numpy : 0.23993206024169922 nb_pixel_total : 229235 time to create 1 rle with new method : 0.017450332641601562 length of segment : 618 time for calcul the mask position with numpy : 0.12138581275939941 nb_pixel_total : 34597 time to create 1 rle with old method : 0.04326009750366211 length of segment : 223 time for calcul the mask position with numpy : 0.018185853958129883 nb_pixel_total : 84223 time to create 1 rle with old method : 0.10757160186767578 length of segment : 265 time for calcul the mask position with numpy : 0.0040302276611328125 nb_pixel_total : 86943 time to create 1 rle with old method : 0.10564374923706055 length of segment : 728 time for calcul the mask position with numpy : 0.09624218940734863 nb_pixel_total : 100942 time to create 1 rle with old method : 0.11800479888916016 length of segment : 501 time for calcul the mask position with numpy : 0.05077791213989258 nb_pixel_total : 19885 time to create 1 rle with old method : 0.02327275276184082 length of segment : 189 time for calcul the mask position with numpy : 0.003898143768310547 nb_pixel_total : 70900 time to create 1 rle with old method : 0.0815126895904541 length of segment : 575 time for calcul the mask position with numpy : 0.03251075744628906 nb_pixel_total : 38659 time to create 1 rle with old method : 0.04936361312866211 length of segment : 179 time for calcul the mask position with numpy : 0.1597423553466797 nb_pixel_total : 78028 time to create 1 rle with old method : 0.09882903099060059 length of segment : 319 time for calcul the mask position with numpy : 0.291994571685791 nb_pixel_total : 133118 time to create 1 rle with old method : 0.16159582138061523 length of segment : 559 time for calcul the mask position with numpy : 0.3178107738494873 nb_pixel_total : 200101 time to create 1 rle with new method : 0.0171048641204834 length of segment : 702 time for calcul the mask position with numpy : 0.05242133140563965 nb_pixel_total : 63922 time to create 1 rle with old method : 0.08645892143249512 length of segment : 254 time for calcul the mask position with numpy : 0.08005499839782715 nb_pixel_total : 197915 time to create 1 rle with new method : 0.02325749397277832 length of segment : 533 time for calcul the mask position with numpy : 0.001680612564086914 nb_pixel_total : 56658 time to create 1 rle with old method : 0.0828857421875 length of segment : 290 time for calcul the mask position with numpy : 0.002325296401977539 nb_pixel_total : 57633 time to create 1 rle with old method : 0.06642484664916992 length of segment : 414 time for calcul the mask position with numpy : 0.020800352096557617 nb_pixel_total : 204981 time to create 1 rle with new method : 0.017543554306030273 length of segment : 671 time for calcul the mask position with numpy : 0.012358665466308594 nb_pixel_total : 5393 time to create 1 rle with old method : 0.011940479278564453 length of segment : 134 time for calcul the mask position with numpy : 0.4448535442352295 nb_pixel_total : 341558 time to create 1 rle with new method : 0.025667667388916016 length of segment : 617 time for calcul the mask position with numpy : 0.021622896194458008 nb_pixel_total : 43713 time to create 1 rle with old method : 0.07078194618225098 length of segment : 209 time for calcul the mask position with numpy : 0.026614665985107422 nb_pixel_total : 150521 time to create 1 rle with new method : 0.01291799545288086 length of segment : 539 time for calcul the mask position with numpy : 0.23259639739990234 nb_pixel_total : 104137 time to create 1 rle with old method : 0.13187408447265625 length of segment : 496 time for calcul the mask position with numpy : 0.0492861270904541 nb_pixel_total : 69938 time to create 1 rle with old method : 0.09560847282409668 length of segment : 376 time for calcul the mask position with numpy : 0.002547740936279297 nb_pixel_total : 70676 time to create 1 rle with old method : 0.14136338233947754 length of segment : 347 time for calcul the mask position with numpy : 0.0016613006591796875 nb_pixel_total : 80266 time to create 1 rle with old method : 0.09442687034606934 length of segment : 231 time for calcul the mask position with numpy : 0.505272388458252 nb_pixel_total : 661205 time to create 1 rle with new method : 0.2636299133300781 length of segment : 839 time for calcul the mask position with numpy : 0.0648496150970459 nb_pixel_total : 571683 time to create 1 rle with new method : 0.24829840660095215 length of segment : 1334 time for calcul the mask position with numpy : 0.0600886344909668 nb_pixel_total : 234359 time to create 1 rle with new method : 0.03084111213684082 length of segment : 908 time for calcul the mask position with numpy : 0.0033528804779052734 nb_pixel_total : 147868 time to create 1 rle with old method : 0.17229723930358887 length of segment : 445 time for calcul the mask position with numpy : 0.0035974979400634766 nb_pixel_total : 135637 time to create 1 rle with old method : 0.17299389839172363 length of segment : 525 time for calcul the mask position with numpy : 0.004988670349121094 nb_pixel_total : 46094 time to create 1 rle with old method : 0.06284523010253906 length of segment : 203 time for calcul the mask position with numpy : 0.002214193344116211 nb_pixel_total : 52029 time to create 1 rle with old method : 0.06861305236816406 length of segment : 310 time for calcul the mask position with numpy : 0.08570265769958496 nb_pixel_total : 104314 time to create 1 rle with old method : 0.13761472702026367 length of segment : 387 time for calcul the mask position with numpy : 0.021228313446044922 nb_pixel_total : 563823 time to create 1 rle with new method : 1.0798275470733643 length of segment : 832 time for calcul the mask position with numpy : 0.005135774612426758 nb_pixel_total : 244329 time to create 1 rle with new method : 0.012755393981933594 length of segment : 755 time for calcul the mask position with numpy : 0.012123823165893555 nb_pixel_total : 595665 time to create 1 rle with new method : 0.03230619430541992 length of segment : 820 time for calcul the mask position with numpy : 0.03165149688720703 nb_pixel_total : 134483 time to create 1 rle with old method : 0.15111660957336426 length of segment : 240 time for calcul the mask position with numpy : 0.012764930725097656 nb_pixel_total : 79087 time to create 1 rle with old method : 0.09910869598388672 length of segment : 312 time for calcul the mask position with numpy : 0.013739824295043945 nb_pixel_total : 416169 time to create 1 rle with new method : 0.029144287109375 length of segment : 1468 time for calcul the mask position with numpy : 0.00842142105102539 nb_pixel_total : 364344 time to create 1 rle with new method : 0.02597498893737793 length of segment : 946 time for calcul the mask position with numpy : 0.01019740104675293 nb_pixel_total : 137499 time to create 1 rle with old method : 0.17101478576660156 length of segment : 585 time for calcul the mask position with numpy : 0.013277053833007812 nb_pixel_total : 182832 time to create 1 rle with new method : 0.016722440719604492 length of segment : 595 time for calcul the mask position with numpy : 0.006364345550537109 nb_pixel_total : 38993 time to create 1 rle with old method : 0.052255868911743164 length of segment : 242 time for calcul the mask position with numpy : 0.012968301773071289 nb_pixel_total : 91683 time to create 1 rle with old method : 0.11914896965026855 length of segment : 539 time for calcul the mask position with numpy : 0.0027549266815185547 nb_pixel_total : 79278 time to create 1 rle with old method : 0.10271644592285156 length of segment : 294 time for calcul the mask position with numpy : 0.09696173667907715 nb_pixel_total : 107431 time to create 1 rle with old method : 0.14221739768981934 length of segment : 296 time for calcul the mask position with numpy : 0.03879570960998535 nb_pixel_total : 271424 time to create 1 rle with new method : 0.030612707138061523 length of segment : 537 time for calcul the mask position with numpy : 0.0041768550872802734 nb_pixel_total : 100495 time to create 1 rle with old method : 0.12770533561706543 length of segment : 337 time for calcul the mask position with numpy : 0.0015020370483398438 nb_pixel_total : 51401 time to create 1 rle with old method : 0.058441162109375 length of segment : 208 time for calcul the mask position with numpy : 0.3307003974914551 nb_pixel_total : 205530 time to create 1 rle with new method : 0.010865449905395508 length of segment : 521 time for calcul the mask position with numpy : 0.2028512954711914 nb_pixel_total : 58418 time to create 1 rle with old method : 0.0692892074584961 length of segment : 340 time for calcul the mask position with numpy : 0.6374297142028809 nb_pixel_total : 150648 time to create 1 rle with new method : 0.019212722778320312 length of segment : 587 time for calcul the mask position with numpy : 0.5139551162719727 nb_pixel_total : 196643 time to create 1 rle with new method : 0.012914180755615234 length of segment : 769 time for calcul the mask position with numpy : 2.080156087875366 nb_pixel_total : 499142 time to create 1 rle with new method : 0.04856443405151367 length of segment : 1010 time for calcul the mask position with numpy : 1.0862841606140137 nb_pixel_total : 656759 time to create 1 rle with new method : 0.03290605545043945 length of segment : 864 time for calcul the mask position with numpy : 0.14706087112426758 nb_pixel_total : 110917 time to create 1 rle with old method : 0.17805027961730957 length of segment : 308 time for calcul the mask position with numpy : 0.028566360473632812 nb_pixel_total : 37565 time to create 1 rle with old method : 0.0446319580078125 length of segment : 242 time for calcul the mask position with numpy : 0.3377358913421631 nb_pixel_total : 219430 time to create 1 rle with new method : 0.012967109680175781 length of segment : 513 time for calcul the mask position with numpy : 0.7223548889160156 nb_pixel_total : 376002 time to create 1 rle with new method : 0.028295040130615234 length of segment : 847 time for calcul the mask position with numpy : 0.592193603515625 nb_pixel_total : 240717 time to create 1 rle with new method : 0.015441656112670898 length of segment : 790 time for calcul the mask position with numpy : 0.6517112255096436 nb_pixel_total : 336676 time to create 1 rle with new method : 0.0282437801361084 length of segment : 935 time for calcul the mask position with numpy : 0.10143494606018066 nb_pixel_total : 23870 time to create 1 rle with old method : 0.03674769401550293 length of segment : 161 time for calcul the mask position with numpy : 0.7495355606079102 nb_pixel_total : 637221 time to create 1 rle with new method : 0.03900957107543945 length of segment : 1084 time for calcul the mask position with numpy : 0.0027170181274414062 nb_pixel_total : 115740 time to create 1 rle with old method : 0.1372392177581787 length of segment : 522 time for calcul the mask position with numpy : 0.0004932880401611328 nb_pixel_total : 16164 time to create 1 rle with old method : 0.018750905990600586 length of segment : 141 time for calcul the mask position with numpy : 0.29238367080688477 nb_pixel_total : 261268 time to create 1 rle with new method : 0.04711627960205078 length of segment : 550 time for calcul the mask position with numpy : 0.055750131607055664 nb_pixel_total : 26831 time to create 1 rle with old method : 0.03651261329650879 length of segment : 136 time for calcul the mask position with numpy : 0.0024912357330322266 nb_pixel_total : 81036 time to create 1 rle with old method : 0.09786033630371094 length of segment : 476 time for calcul the mask position with numpy : 0.12177896499633789 nb_pixel_total : 159586 time to create 1 rle with new method : 0.016776561737060547 length of segment : 754 time for calcul the mask position with numpy : 0.1024174690246582 nb_pixel_total : 168895 time to create 1 rle with new method : 0.01025390625 length of segment : 489 time for calcul the mask position with numpy : 0.03305315971374512 nb_pixel_total : 116786 time to create 1 rle with old method : 0.14350080490112305 length of segment : 392 time for calcul the mask position with numpy : 0.0012731552124023438 nb_pixel_total : 44309 time to create 1 rle with old method : 0.05409598350524902 length of segment : 328 time for calcul the mask position with numpy : 0.07538318634033203 nb_pixel_total : 373137 time to create 1 rle with new method : 0.01898503303527832 length of segment : 659 time for calcul the mask position with numpy : 0.06068706512451172 nb_pixel_total : 123021 time to create 1 rle with old method : 0.13883161544799805 length of segment : 429 time for calcul the mask position with numpy : 0.039011478424072266 nb_pixel_total : 18338 time to create 1 rle with old method : 0.024103164672851562 length of segment : 141 time for calcul the mask position with numpy : 0.4084446430206299 nb_pixel_total : 304331 time to create 1 rle with new method : 0.01955103874206543 length of segment : 593 time for calcul the mask position with numpy : 0.05305147171020508 nb_pixel_total : 34715 time to create 1 rle with old method : 0.04684042930603027 length of segment : 525 time for calcul the mask position with numpy : 0.14382481575012207 nb_pixel_total : 107272 time to create 1 rle with old method : 0.15529656410217285 length of segment : 544 time for calcul the mask position with numpy : 0.06338620185852051 nb_pixel_total : 26993 time to create 1 rle with old method : 0.030489683151245117 length of segment : 195 time for calcul the mask position with numpy : 0.5490248203277588 nb_pixel_total : 485326 time to create 1 rle with new method : 0.026072025299072266 length of segment : 876 time for calcul the mask position with numpy : 0.03712105751037598 nb_pixel_total : 60302 time to create 1 rle with old method : 0.08851432800292969 length of segment : 188 time for calcul the mask position with numpy : 0.018808603286743164 nb_pixel_total : 49954 time to create 1 rle with old method : 0.06102633476257324 length of segment : 306 time for calcul the mask position with numpy : 0.008476972579956055 nb_pixel_total : 39162 time to create 1 rle with old method : 0.0496671199798584 length of segment : 312 time for calcul the mask position with numpy : 0.06954669952392578 nb_pixel_total : 74906 time to create 1 rle with old method : 0.09632205963134766 length of segment : 323 time for calcul the mask position with numpy : 0.08691000938415527 nb_pixel_total : 187990 time to create 1 rle with new method : 0.011905193328857422 length of segment : 496 time for calcul the mask position with numpy : 0.05610489845275879 nb_pixel_total : 76305 time to create 1 rle with old method : 0.08944296836853027 length of segment : 296 time for calcul the mask position with numpy : 0.029236793518066406 nb_pixel_total : 6950 time to create 1 rle with old method : 0.011896610260009766 length of segment : 230 time for calcul the mask position with numpy : 0.08994197845458984 nb_pixel_total : 38650 time to create 1 rle with old method : 0.047942161560058594 length of segment : 208 time for calcul the mask position with numpy : 0.0019421577453613281 nb_pixel_total : 73622 time to create 1 rle with old method : 0.08652114868164062 length of segment : 334 time for calcul the mask position with numpy : 0.11509346961975098 nb_pixel_total : 445866 time to create 1 rle with new method : 0.0466156005859375 length of segment : 1360 time for calcul the mask position with numpy : 0.03919625282287598 nb_pixel_total : 168352 time to create 1 rle with new method : 0.01261138916015625 length of segment : 368 time for calcul the mask position with numpy : 0.003710508346557617 nb_pixel_total : 168350 time to create 1 rle with new method : 0.017066240310668945 length of segment : 462 time for calcul the mask position with numpy : 0.05820417404174805 nb_pixel_total : 77506 time to create 1 rle with old method : 0.09748339653015137 length of segment : 238 time for calcul the mask position with numpy : 0.0009281635284423828 nb_pixel_total : 37556 time to create 1 rle with old method : 0.04296398162841797 length of segment : 231 time for calcul the mask position with numpy : 0.009979486465454102 nb_pixel_total : 360717 time to create 1 rle with new method : 0.028983592987060547 length of segment : 1128 time for calcul the mask position with numpy : 0.0009806156158447266 nb_pixel_total : 35507 time to create 1 rle with old method : 0.04140877723693848 length of segment : 212 time for calcul the mask position with numpy : 0.12100625038146973 nb_pixel_total : 220877 time to create 1 rle with new method : 0.0256195068359375 length of segment : 739 time for calcul the mask position with numpy : 0.05689644813537598 nb_pixel_total : 101180 time to create 1 rle with old method : 0.11754393577575684 length of segment : 415 time for calcul the mask position with numpy : 0.2788407802581787 nb_pixel_total : 469613 time to create 1 rle with new method : 0.041615962982177734 length of segment : 770 time for calcul the mask position with numpy : 0.0009362697601318359 nb_pixel_total : 32577 time to create 1 rle with old method : 0.0374140739440918 length of segment : 173 time for calcul the mask position with numpy : 0.025309324264526367 nb_pixel_total : 22422 time to create 1 rle with old method : 0.03068828582763672 length of segment : 264 time for calcul the mask position with numpy : 0.010054826736450195 nb_pixel_total : 449461 time to create 1 rle with new method : 0.02403879165649414 length of segment : 852 time for calcul the mask position with numpy : 0.0008645057678222656 nb_pixel_total : 39920 time to create 1 rle with old method : 0.05865120887756348 length of segment : 247 time for calcul the mask position with numpy : 0.018648386001586914 nb_pixel_total : 59704 time to create 1 rle with old method : 0.07309198379516602 length of segment : 234 time for calcul the mask position with numpy : 0.03686666488647461 nb_pixel_total : 77124 time to create 1 rle with old method : 0.08987879753112793 length of segment : 326 time for calcul the mask position with numpy : 0.0024590492248535156 nb_pixel_total : 106947 time to create 1 rle with old method : 0.12102317810058594 length of segment : 422 time for calcul the mask position with numpy : 0.0007917881011962891 nb_pixel_total : 35686 time to create 1 rle with old method : 0.0410153865814209 length of segment : 212 time for calcul the mask position with numpy : 0.027416706085205078 nb_pixel_total : 106468 time to create 1 rle with old method : 0.13602614402770996 length of segment : 531 time for calcul the mask position with numpy : 0.0006949901580810547 nb_pixel_total : 29334 time to create 1 rle with old method : 0.033844947814941406 length of segment : 194 time for calcul the mask position with numpy : 0.003862619400024414 nb_pixel_total : 113864 time to create 1 rle with old method : 0.13669705390930176 length of segment : 321 time for calcul the mask position with numpy : 0.06281828880310059 nb_pixel_total : 211251 time to create 1 rle with new method : 0.021431684494018555 length of segment : 1061 time for calcul the mask position with numpy : 0.0017273426055908203 nb_pixel_total : 57040 time to create 1 rle with old method : 0.06501507759094238 length of segment : 294 time for calcul the mask position with numpy : 0.0013298988342285156 nb_pixel_total : 51721 time to create 1 rle with old method : 0.05881190299987793 length of segment : 316 time for calcul the mask position with numpy : 0.007489681243896484 nb_pixel_total : 302529 time to create 1 rle with new method : 0.021565914154052734 length of segment : 603 time for calcul the mask position with numpy : 0.05378293991088867 nb_pixel_total : 232402 time to create 1 rle with new method : 0.017487525939941406 length of segment : 551 time for calcul the mask position with numpy : 0.0018322467803955078 nb_pixel_total : 53791 time to create 1 rle with old method : 0.06171751022338867 length of segment : 240 time for calcul the mask position with numpy : 0.034806013107299805 nb_pixel_total : 83063 time to create 1 rle with old method : 0.09824347496032715 length of segment : 347 time for calcul the mask position with numpy : 0.0024590492248535156 nb_pixel_total : 103550 time to create 1 rle with old method : 0.1190946102142334 length of segment : 449 time for calcul the mask position with numpy : 0.0045070648193359375 nb_pixel_total : 160310 time to create 1 rle with new method : 0.014608144760131836 length of segment : 593 time for calcul the mask position with numpy : 0.6141853332519531 nb_pixel_total : 178492 time to create 1 rle with new method : 0.013379335403442383 length of segment : 468 time for calcul the mask position with numpy : 0.43433046340942383 nb_pixel_total : 113069 time to create 1 rle with old method : 0.139939546585083 length of segment : 400 time for calcul the mask position with numpy : 2.865530014038086 nb_pixel_total : 877525 time to create 1 rle with new method : 0.0895841121673584 length of segment : 1765 time for calcul the mask position with numpy : 0.569603443145752 nb_pixel_total : 211516 time to create 1 rle with new method : 0.014673948287963867 length of segment : 386 time for calcul the mask position with numpy : 0.23346400260925293 nb_pixel_total : 75172 time to create 1 rle with old method : 0.08835291862487793 length of segment : 310 time for calcul the mask position with numpy : 0.3891329765319824 nb_pixel_total : 224449 time to create 1 rle with new method : 0.012873172760009766 length of segment : 497 time for calcul the mask position with numpy : 0.4868652820587158 nb_pixel_total : 137868 time to create 1 rle with old method : 0.20015835762023926 length of segment : 654 time for calcul the mask position with numpy : 0.07147932052612305 nb_pixel_total : 20550 time to create 1 rle with old method : 0.02587747573852539 length of segment : 223 time for calcul the mask position with numpy : 0.17213940620422363 nb_pixel_total : 80639 time to create 1 rle with old method : 0.10450124740600586 length of segment : 340 time for calcul the mask position with numpy : 2.1960792541503906 nb_pixel_total : 987506 time to create 1 rle with new method : 0.300199031829834 length of segment : 1206 time for calcul the mask position with numpy : 0.363269567489624 nb_pixel_total : 157253 time to create 1 rle with new method : 0.013284444808959961 length of segment : 409 time for calcul the mask position with numpy : 0.8184514045715332 nb_pixel_total : 482160 time to create 1 rle with new method : 0.033510684967041016 length of segment : 839 time for calcul the mask position with numpy : 0.351377010345459 nb_pixel_total : 168125 time to create 1 rle with new method : 0.01407480239868164 length of segment : 734 time for calcul the mask position with numpy : 0.1345663070678711 nb_pixel_total : 104164 time to create 1 rle with old method : 0.1193838119506836 length of segment : 425 time for calcul the mask position with numpy : 0.1107933521270752 nb_pixel_total : 24558 time to create 1 rle with old method : 0.04410290718078613 length of segment : 271 time for calcul the mask position with numpy : 0.16232895851135254 nb_pixel_total : 290355 time to create 1 rle with new method : 0.01819777488708496 length of segment : 715 time for calcul the mask position with numpy : 0.08948111534118652 nb_pixel_total : 41113 time to create 1 rle with old method : 0.04870939254760742 length of segment : 273 time for calcul the mask position with numpy : 0.004819154739379883 nb_pixel_total : 26596 time to create 1 rle with old method : 0.03296017646789551 length of segment : 208 time for calcul the mask position with numpy : 1.5156965255737305 nb_pixel_total : 570738 time to create 1 rle with new method : 0.1383657455444336 length of segment : 990 time for calcul the mask position with numpy : 0.8277120590209961 nb_pixel_total : 473388 time to create 1 rle with new method : 0.2407221794128418 length of segment : 722 time for calcul the mask position with numpy : 0.34887099266052246 nb_pixel_total : 296314 time to create 1 rle with new method : 0.0262753963470459 length of segment : 709 time for calcul the mask position with numpy : 0.19403672218322754 nb_pixel_total : 412592 time to create 1 rle with new method : 0.02738499641418457 length of segment : 813 time for calcul the mask position with numpy : 0.059357404708862305 nb_pixel_total : 109843 time to create 1 rle with old method : 0.13182473182678223 length of segment : 410 time for calcul the mask position with numpy : 0.1791529655456543 nb_pixel_total : 162143 time to create 1 rle with new method : 0.012675046920776367 length of segment : 653 time for calcul the mask position with numpy : 0.0009417533874511719 nb_pixel_total : 42793 time to create 1 rle with old method : 0.04913640022277832 length of segment : 214 time for calcul the mask position with numpy : 0.006338596343994141 nb_pixel_total : 73741 time to create 1 rle with old method : 0.08485031127929688 length of segment : 360 time for calcul the mask position with numpy : 0.042604923248291016 nb_pixel_total : 87982 time to create 1 rle with old method : 0.11249852180480957 length of segment : 314 time for calcul the mask position with numpy : 0.08314990997314453 nb_pixel_total : 58314 time to create 1 rle with old method : 0.07800102233886719 length of segment : 241 time for calcul the mask position with numpy : 0.04324078559875488 nb_pixel_total : 119151 time to create 1 rle with old method : 0.1504507064819336 length of segment : 595 time for calcul the mask position with numpy : 0.058957815170288086 nb_pixel_total : 365494 time to create 1 rle with new method : 0.025994300842285156 length of segment : 843 time for calcul the mask position with numpy : 0.0017044544219970703 nb_pixel_total : 70085 time to create 1 rle with old method : 0.08398604393005371 length of segment : 316 time for calcul the mask position with numpy : 0.0811913013458252 nb_pixel_total : 65698 time to create 1 rle with old method : 0.07588315010070801 length of segment : 454 time for calcul the mask position with numpy : 0.07676100730895996 nb_pixel_total : 14469 time to create 1 rle with old method : 0.022563695907592773 length of segment : 226 time for calcul the mask position with numpy : 0.028287887573242188 nb_pixel_total : 22988 time to create 1 rle with old method : 0.03829455375671387 length of segment : 212 time for calcul the mask position with numpy : 0.055823326110839844 nb_pixel_total : 29384 time to create 1 rle with old method : 0.052179813385009766 length of segment : 194 time for calcul the mask position with numpy : 0.10649847984313965 nb_pixel_total : 168712 time to create 1 rle with new method : 0.012061357498168945 length of segment : 567 time for calcul the mask position with numpy : 0.0025238990783691406 nb_pixel_total : 10760 time to create 1 rle with old method : 0.01689934730529785 length of segment : 187 time for calcul the mask position with numpy : 0.001554250717163086 nb_pixel_total : 43525 time to create 1 rle with old method : 0.05773425102233887 length of segment : 241 time for calcul the mask position with numpy : 0.005826711654663086 nb_pixel_total : 258319 time to create 1 rle with new method : 0.01557302474975586 length of segment : 554 time for calcul the mask position with numpy : 0.0009706020355224609 nb_pixel_total : 48535 time to create 1 rle with old method : 0.05525851249694824 length of segment : 284 time for calcul the mask position with numpy : 0.08140397071838379 nb_pixel_total : 264375 time to create 1 rle with new method : 0.024076223373413086 length of segment : 662 time for calcul the mask position with numpy : 0.0016334056854248047 nb_pixel_total : 64911 time to create 1 rle with old method : 0.07646465301513672 length of segment : 480 time for calcul the mask position with numpy : 1.2694766521453857 nb_pixel_total : 1470799 time to create 1 rle with new method : 0.23704981803894043 length of segment : 1776 time for calcul the mask position with numpy : 0.02180027961730957 nb_pixel_total : 90624 time to create 1 rle with old method : 0.1023399829864502 length of segment : 434 time for calcul the mask position with numpy : 0.0035219192504882812 nb_pixel_total : 142943 time to create 1 rle with old method : 0.15933871269226074 length of segment : 410 time for calcul the mask position with numpy : 0.0069026947021484375 nb_pixel_total : 65422 time to create 1 rle with old method : 0.07973670959472656 length of segment : 423 time for calcul the mask position with numpy : 0.011890888214111328 nb_pixel_total : 349820 time to create 1 rle with new method : 0.04249930381774902 length of segment : 860 time for calcul the mask position with numpy : 0.004418611526489258 nb_pixel_total : 153656 time to create 1 rle with new method : 0.011239051818847656 length of segment : 558 time for calcul the mask position with numpy : 0.006725311279296875 nb_pixel_total : 150232 time to create 1 rle with new method : 0.015801429748535156 length of segment : 509 time for calcul the mask position with numpy : 0.0049364566802978516 nb_pixel_total : 148186 time to create 1 rle with old method : 0.19562387466430664 length of segment : 516 time for calcul the mask position with numpy : 0.001219034194946289 nb_pixel_total : 35821 time to create 1 rle with old method : 0.04121828079223633 length of segment : 328 time for calcul the mask position with numpy : 0.05794882774353027 nb_pixel_total : 1011412 time to create 1 rle with new method : 0.37628626823425293 length of segment : 2879 time for calcul the mask position with numpy : 0.003584146499633789 nb_pixel_total : 153695 time to create 1 rle with new method : 0.011925697326660156 length of segment : 633 time for calcul the mask position with numpy : 0.0007221698760986328 nb_pixel_total : 26665 time to create 1 rle with old method : 0.050814151763916016 length of segment : 203 time for calcul the mask position with numpy : 0.0013020038604736328 nb_pixel_total : 51671 time to create 1 rle with old method : 0.05931711196899414 length of segment : 306 time for calcul the mask position with numpy : 0.001958131790161133 nb_pixel_total : 72537 time to create 1 rle with old method : 0.08125901222229004 length of segment : 456 time for calcul the mask position with numpy : 0.008735179901123047 nb_pixel_total : 155232 time to create 1 rle with new method : 0.009494304656982422 length of segment : 446 time for calcul the mask position with numpy : 0.0015909671783447266 nb_pixel_total : 38835 time to create 1 rle with old method : 0.044417381286621094 length of segment : 324 time for calcul the mask position with numpy : 0.004427671432495117 nb_pixel_total : 85452 time to create 1 rle with old method : 0.10592913627624512 length of segment : 430 time for calcul the mask position with numpy : 0.05982613563537598 nb_pixel_total : 1132982 time to create 1 rle with new method : 0.31032586097717285 length of segment : 1132 time for calcul the mask position with numpy : 0.0015869140625 nb_pixel_total : 27867 time to create 1 rle with old method : 0.03206801414489746 length of segment : 297 time for calcul the mask position with numpy : 0.00574493408203125 nb_pixel_total : 30728 time to create 1 rle with old method : 0.037420034408569336 length of segment : 116 time for calcul the mask position with numpy : 0.003010988235473633 nb_pixel_total : 140229 time to create 1 rle with old method : 0.15692543983459473 length of segment : 762 time for calcul the mask position with numpy : 0.012047767639160156 nb_pixel_total : 105470 time to create 1 rle with old method : 0.12122416496276855 length of segment : 601 time for calcul the mask position with numpy : 0.010235309600830078 nb_pixel_total : 154536 time to create 1 rle with new method : 0.014783143997192383 length of segment : 751 time for calcul the mask position with numpy : 0.00428009033203125 nb_pixel_total : 159317 time to create 1 rle with new method : 0.014518976211547852 length of segment : 554 time for calcul the mask position with numpy : 0.004491567611694336 nb_pixel_total : 159815 time to create 1 rle with new method : 0.014112472534179688 length of segment : 562 time for calcul the mask position with numpy : 0.0008161067962646484 nb_pixel_total : 28615 time to create 1 rle with old method : 0.03280234336853027 length of segment : 106 time for calcul the mask position with numpy : 0.003055095672607422 nb_pixel_total : 47678 time to create 1 rle with old method : 0.07019305229187012 length of segment : 333 time for calcul the mask position with numpy : 0.013695955276489258 nb_pixel_total : 243477 time to create 1 rle with new method : 0.04200911521911621 length of segment : 802 time for calcul the mask position with numpy : 0.0011680126190185547 nb_pixel_total : 45776 time to create 1 rle with old method : 0.052642822265625 length of segment : 262 time for calcul the mask position with numpy : 0.0016238689422607422 nb_pixel_total : 58446 time to create 1 rle with old method : 0.06740927696228027 length of segment : 234 time for calcul the mask position with numpy : 0.5999000072479248 nb_pixel_total : 200373 time to create 1 rle with new method : 0.018078327178955078 length of segment : 512 time for calcul the mask position with numpy : 0.21759724617004395 nb_pixel_total : 49143 time to create 1 rle with old method : 0.05923581123352051 length of segment : 216 time for calcul the mask position with numpy : 0.45625734329223633 nb_pixel_total : 115158 time to create 1 rle with old method : 0.13764071464538574 length of segment : 387 time for calcul the mask position with numpy : 0.20375394821166992 nb_pixel_total : 72993 time to create 1 rle with old method : 0.11150312423706055 length of segment : 305 time for calcul the mask position with numpy : 0.23221778869628906 nb_pixel_total : 45707 time to create 1 rle with old method : 0.05731916427612305 length of segment : 503 time for calcul the mask position with numpy : 0.3846094608306885 nb_pixel_total : 95464 time to create 1 rle with old method : 0.11581659317016602 length of segment : 545 time for calcul the mask position with numpy : 0.7584006786346436 nb_pixel_total : 243554 time to create 1 rle with new method : 0.014910459518432617 length of segment : 485 time for calcul the mask position with numpy : 0.8607795238494873 nb_pixel_total : 280210 time to create 1 rle with new method : 0.02509593963623047 length of segment : 778 time for calcul the mask position with numpy : 0.025950193405151367 nb_pixel_total : 16712 time to create 1 rle with old method : 0.023220539093017578 length of segment : 109 time for calcul the mask position with numpy : 0.9472386837005615 nb_pixel_total : 410685 time to create 1 rle with new method : 0.02567124366760254 length of segment : 804 time for calcul the mask position with numpy : 0.06695556640625 nb_pixel_total : 42332 time to create 1 rle with old method : 0.05582690238952637 length of segment : 190 time for calcul the mask position with numpy : 0.8812046051025391 nb_pixel_total : 316561 time to create 1 rle with new method : 0.02675652503967285 length of segment : 894 time for calcul the mask position with numpy : 0.30130839347839355 nb_pixel_total : 112200 time to create 1 rle with old method : 0.1575310230255127 length of segment : 393 time for calcul the mask position with numpy : 0.23986053466796875 nb_pixel_total : 138649 time to create 1 rle with old method : 0.1480405330657959 length of segment : 478 time for calcul the mask position with numpy : 0.22946882247924805 nb_pixel_total : 71668 time to create 1 rle with old method : 0.07761979103088379 length of segment : 289 time for calcul the mask position with numpy : 0.0007812976837158203 nb_pixel_total : 33845 time to create 1 rle with old method : 0.03778219223022461 length of segment : 312 time for calcul the mask position with numpy : 1.44468092918396 nb_pixel_total : 843356 time to create 1 rle with new method : 0.0820608139038086 length of segment : 1304 time for calcul the mask position with numpy : 0.37365198135375977 nb_pixel_total : 142974 time to create 1 rle with old method : 0.19428014755249023 length of segment : 430 time for calcul the mask position with numpy : 0.5610084533691406 nb_pixel_total : 163279 time to create 1 rle with new method : 0.017667055130004883 length of segment : 395 time for calcul the mask position with numpy : 0.06265664100646973 nb_pixel_total : 20099 time to create 1 rle with old method : 0.027408838272094727 length of segment : 162 time for calcul the mask position with numpy : 0.03073287010192871 nb_pixel_total : 41254 time to create 1 rle with old method : 0.07808852195739746 length of segment : 148 time for calcul the mask position with numpy : 0.38895106315612793 nb_pixel_total : 126260 time to create 1 rle with old method : 0.15018916130065918 length of segment : 565 time for calcul the mask position with numpy : 0.21527671813964844 nb_pixel_total : 75029 time to create 1 rle with old method : 0.088287353515625 length of segment : 367 time for calcul the mask position with numpy : 0.023728370666503906 nb_pixel_total : 49341 time to create 1 rle with old method : 0.060767173767089844 length of segment : 233 time for calcul the mask position with numpy : 0.5937900543212891 nb_pixel_total : 816258 time to create 1 rle with new method : 0.09266424179077148 length of segment : 1127 time for calcul the mask position with numpy : 0.23094701766967773 nb_pixel_total : 56884 time to create 1 rle with old method : 0.08015203475952148 length of segment : 350 time for calcul the mask position with numpy : 0.0006740093231201172 nb_pixel_total : 20479 time to create 1 rle with old method : 0.023962974548339844 length of segment : 139 time for calcul the mask position with numpy : 0.11247134208679199 nb_pixel_total : 17212 time to create 1 rle with old method : 0.04055333137512207 length of segment : 201 time for calcul the mask position with numpy : 0.09336543083190918 nb_pixel_total : 169545 time to create 1 rle with new method : 0.014615297317504883 length of segment : 646 time for calcul the mask position with numpy : 0.28095293045043945 nb_pixel_total : 87690 time to create 1 rle with old method : 0.10259532928466797 length of segment : 330 time for calcul the mask position with numpy : 0.08699846267700195 nb_pixel_total : 28447 time to create 1 rle with old method : 0.03804349899291992 length of segment : 213 time for calcul the mask position with numpy : 0.171250581741333 nb_pixel_total : 79513 time to create 1 rle with old method : 0.09467911720275879 length of segment : 678 time for calcul the mask position with numpy : 0.1287236213684082 nb_pixel_total : 242896 time to create 1 rle with new method : 0.018453598022460938 length of segment : 611 time for calcul the mask position with numpy : 0.3250281810760498 nb_pixel_total : 183178 time to create 1 rle with new method : 0.014525413513183594 length of segment : 621 time for calcul the mask position with numpy : 0.3485724925994873 nb_pixel_total : 155203 time to create 1 rle with new method : 0.010830879211425781 length of segment : 635 time for calcul the mask position with numpy : 0.028631925582885742 nb_pixel_total : 11812 time to create 1 rle with old method : 0.01902174949645996 length of segment : 218 time for calcul the mask position with numpy : 0.07990598678588867 nb_pixel_total : 28047 time to create 1 rle with old method : 0.04629349708557129 length of segment : 147 time for calcul the mask position with numpy : 0.10653138160705566 nb_pixel_total : 90754 time to create 1 rle with old method : 0.10757780075073242 length of segment : 383 time for calcul the mask position with numpy : 0.015000343322753906 nb_pixel_total : 69156 time to create 1 rle with old method : 0.08345317840576172 length of segment : 471 time for calcul the mask position with numpy : 0.0073931217193603516 nb_pixel_total : 165282 time to create 1 rle with new method : 0.012820243835449219 length of segment : 591 time for calcul the mask position with numpy : 1.0892083644866943 nb_pixel_total : 894270 time to create 1 rle with new method : 0.15784811973571777 length of segment : 1333 time for calcul the mask position with numpy : 0.2868366241455078 nb_pixel_total : 63199 time to create 1 rle with old method : 0.07510042190551758 length of segment : 490 time for calcul the mask position with numpy : 0.0021152496337890625 nb_pixel_total : 98334 time to create 1 rle with old method : 0.10877227783203125 length of segment : 496 time for calcul the mask position with numpy : 0.09239363670349121 nb_pixel_total : 338841 time to create 1 rle with new method : 0.08505558967590332 length of segment : 777 time for calcul the mask position with numpy : 0.004335641860961914 nb_pixel_total : 116521 time to create 1 rle with old method : 0.17517590522766113 length of segment : 629 time for calcul the mask position with numpy : 0.049349069595336914 nb_pixel_total : 118148 time to create 1 rle with old method : 0.22682523727416992 length of segment : 491 time for calcul the mask position with numpy : 0.21738862991333008 nb_pixel_total : 153048 time to create 1 rle with new method : 0.055339813232421875 length of segment : 404 time for calcul the mask position with numpy : 0.18306612968444824 nb_pixel_total : 354697 time to create 1 rle with new method : 0.10109114646911621 length of segment : 1027 time for calcul the mask position with numpy : 0.02409219741821289 nb_pixel_total : 20453 time to create 1 rle with old method : 0.028187036514282227 length of segment : 160 time for calcul the mask position with numpy : 0.0021834373474121094 nb_pixel_total : 55553 time to create 1 rle with old method : 0.06632304191589355 length of segment : 214 time for calcul the mask position with numpy : 0.09634900093078613 nb_pixel_total : 33900 time to create 1 rle with old method : 0.046250104904174805 length of segment : 210 time for calcul the mask position with numpy : 0.03918814659118652 nb_pixel_total : 104837 time to create 1 rle with old method : 0.1598975658416748 length of segment : 389 time for calcul the mask position with numpy : 0.07427620887756348 nb_pixel_total : 40428 time to create 1 rle with old method : 0.06371164321899414 length of segment : 253 time for calcul the mask position with numpy : 0.0008702278137207031 nb_pixel_total : 6853 time to create 1 rle with old method : 0.008133888244628906 length of segment : 100 time for calcul the mask position with numpy : 0.05128979682922363 nb_pixel_total : 19480 time to create 1 rle with old method : 0.028151988983154297 length of segment : 310 time for calcul the mask position with numpy : 0.0014138221740722656 nb_pixel_total : 62525 time to create 1 rle with old method : 0.08983826637268066 length of segment : 361 time for calcul the mask position with numpy : 0.0043795108795166016 nb_pixel_total : 101226 time to create 1 rle with old method : 0.11711668968200684 length of segment : 475 time for calcul the mask position with numpy : 0.5350461006164551 nb_pixel_total : 318634 time to create 1 rle with new method : 0.02648162841796875 length of segment : 551 time for calcul the mask position with numpy : 0.029914140701293945 nb_pixel_total : 865605 time to create 1 rle with new method : 0.28380441665649414 length of segment : 1141 time for calcul the mask position with numpy : 0.09514880180358887 nb_pixel_total : 464506 time to create 1 rle with new method : 0.20020771026611328 length of segment : 1766 time for calcul the mask position with numpy : 0.006721973419189453 nb_pixel_total : 157419 time to create 1 rle with new method : 0.009367704391479492 length of segment : 633 time for calcul the mask position with numpy : 0.0019941329956054688 nb_pixel_total : 60391 time to create 1 rle with old method : 0.06830787658691406 length of segment : 357 time for calcul the mask position with numpy : 0.5155930519104004 nb_pixel_total : 544769 time to create 1 rle with new method : 0.13747763633728027 length of segment : 1199 time for calcul the mask position with numpy : 0.055541276931762695 nb_pixel_total : 178054 time to create 1 rle with new method : 0.012544870376586914 length of segment : 591 time for calcul the mask position with numpy : 0.1177825927734375 nb_pixel_total : 313657 time to create 1 rle with new method : 0.02060723304748535 length of segment : 581 time for calcul the mask position with numpy : 0.0029175281524658203 nb_pixel_total : 108659 time to create 1 rle with old method : 0.14319109916687012 length of segment : 312 time for calcul the mask position with numpy : 0.0012629032135009766 nb_pixel_total : 61450 time to create 1 rle with old method : 0.07088732719421387 length of segment : 258 time for calcul the mask position with numpy : 0.0027997493743896484 nb_pixel_total : 81751 time to create 1 rle with old method : 0.0925300121307373 length of segment : 461 time for calcul the mask position with numpy : 0.0189974308013916 nb_pixel_total : 556752 time to create 1 rle with new method : 0.08250308036804199 length of segment : 773 time for calcul the mask position with numpy : 0.00943899154663086 nb_pixel_total : 469679 time to create 1 rle with new method : 0.022768020629882812 length of segment : 812 time for calcul the mask position with numpy : 0.05241990089416504 nb_pixel_total : 160820 time to create 1 rle with new method : 0.010299444198608398 length of segment : 360 time for calcul the mask position with numpy : 0.006919145584106445 nb_pixel_total : 383946 time to create 1 rle with new method : 0.019126415252685547 length of segment : 859 time for calcul the mask position with numpy : 0.0009412765502929688 nb_pixel_total : 34728 time to create 1 rle with old method : 0.039018869400024414 length of segment : 358 time for calcul the mask position with numpy : 0.0022368431091308594 nb_pixel_total : 105906 time to create 1 rle with old method : 0.12190794944763184 length of segment : 306 time for calcul the mask position with numpy : 0.0037841796875 nb_pixel_total : 108261 time to create 1 rle with old method : 0.15134239196777344 length of segment : 302 time for calcul the mask position with numpy : 0.0012314319610595703 nb_pixel_total : 31839 time to create 1 rle with old method : 0.03598356246948242 length of segment : 341 time for calcul the mask position with numpy : 0.0024585723876953125 nb_pixel_total : 102519 time to create 1 rle with old method : 0.13042354583740234 length of segment : 337 time for calcul the mask position with numpy : 0.0074083805084228516 nb_pixel_total : 135671 time to create 1 rle with old method : 0.15269064903259277 length of segment : 668 time for calcul the mask position with numpy : 0.003450155258178711 nb_pixel_total : 155348 time to create 1 rle with new method : 0.012264490127563477 length of segment : 377 time for calcul the mask position with numpy : 3.258674144744873 nb_pixel_total : 872338 time to create 1 rle with new method : 0.13905072212219238 length of segment : 1151 time for calcul the mask position with numpy : 0.058145999908447266 nb_pixel_total : 66223 time to create 1 rle with old method : 0.07827997207641602 length of segment : 338 time for calcul the mask position with numpy : 0.8518848419189453 nb_pixel_total : 357410 time to create 1 rle with new method : 0.03404664993286133 length of segment : 590 time for calcul the mask position with numpy : 1.847557544708252 nb_pixel_total : 819720 time to create 1 rle with new method : 0.2148268222808838 length of segment : 1049 time for calcul the mask position with numpy : 0.0012106895446777344 nb_pixel_total : 30034 time to create 1 rle with old method : 0.04055142402648926 length of segment : 214 time for calcul the mask position with numpy : 0.0051021575927734375 nb_pixel_total : 63981 time to create 1 rle with old method : 0.0770561695098877 length of segment : 284 time for calcul the mask position with numpy : 0.010112524032592773 nb_pixel_total : 42043 time to create 1 rle with old method : 0.05670428276062012 length of segment : 362 time for calcul the mask position with numpy : 0.5362741947174072 nb_pixel_total : 351566 time to create 1 rle with new method : 0.02404022216796875 length of segment : 810 time for calcul the mask position with numpy : 0.4086463451385498 nb_pixel_total : 117337 time to create 1 rle with old method : 0.15363478660583496 length of segment : 410 time for calcul the mask position with numpy : 0.5742595195770264 nb_pixel_total : 291091 time to create 1 rle with new method : 0.026229381561279297 length of segment : 671 time for calcul the mask position with numpy : 0.7188429832458496 nb_pixel_total : 375706 time to create 1 rle with new method : 0.029502391815185547 length of segment : 925 time for calcul the mask position with numpy : 0.1530134677886963 nb_pixel_total : 49452 time to create 1 rle with old method : 0.11023283004760742 length of segment : 236 time for calcul the mask position with numpy : 0.016878843307495117 nb_pixel_total : 71549 time to create 1 rle with old method : 0.08844184875488281 length of segment : 413 time for calcul the mask position with numpy : 0.007087230682373047 nb_pixel_total : 338042 time to create 1 rle with new method : 0.02081131935119629 length of segment : 880 time for calcul the mask position with numpy : 0.3725457191467285 nb_pixel_total : 80184 time to create 1 rle with old method : 0.09702253341674805 length of segment : 346 time for calcul the mask position with numpy : 0.5099458694458008 nb_pixel_total : 72360 time to create 1 rle with old method : 0.10378384590148926 length of segment : 376 time for calcul the mask position with numpy : 1.9735746383666992 nb_pixel_total : 160967 time to create 1 rle with new method : 0.01349329948425293 length of segment : 867 time for calcul the mask position with numpy : 3.150066614151001 nb_pixel_total : 289430 time to create 1 rle with new method : 0.038129568099975586 length of segment : 835 time for calcul the mask position with numpy : 0.2529442310333252 nb_pixel_total : 50854 time to create 1 rle with old method : 0.05614590644836426 length of segment : 753 time for calcul the mask position with numpy : 2.3562252521514893 nb_pixel_total : 466678 time to create 1 rle with new method : 0.03574061393737793 length of segment : 864 time for calcul the mask position with numpy : 0.5261070728302002 nb_pixel_total : 258199 time to create 1 rle with new method : 0.015077590942382812 length of segment : 694 time for calcul the mask position with numpy : 0.49381327629089355 nb_pixel_total : 173780 time to create 1 rle with new method : 0.013159513473510742 length of segment : 387 time for calcul the mask position with numpy : 0.007043600082397461 nb_pixel_total : 11902 time to create 1 rle with old method : 0.01920008659362793 length of segment : 79 time for calcul the mask position with numpy : 0.6383185386657715 nb_pixel_total : 310696 time to create 1 rle with new method : 0.02314281463623047 length of segment : 598 time for calcul the mask position with numpy : 0.11594915390014648 nb_pixel_total : 91997 time to create 1 rle with old method : 0.1051180362701416 length of segment : 509 time for calcul the mask position with numpy : 0.20695257186889648 nb_pixel_total : 46899 time to create 1 rle with old method : 0.056737422943115234 length of segment : 279 time for calcul the mask position with numpy : 0.43059253692626953 nb_pixel_total : 154478 time to create 1 rle with new method : 0.011829137802124023 length of segment : 552 time for calcul the mask position with numpy : 0.009802103042602539 nb_pixel_total : 12866 time to create 1 rle with old method : 0.017558813095092773 length of segment : 129 time for calcul the mask position with numpy : 0.0760648250579834 nb_pixel_total : 22936 time to create 1 rle with old method : 0.030978679656982422 length of segment : 136 time for calcul the mask position with numpy : 0.020815372467041016 nb_pixel_total : 91998 time to create 1 rle with old method : 0.10720229148864746 length of segment : 620 time for calcul the mask position with numpy : 0.0011777877807617188 nb_pixel_total : 23035 time to create 1 rle with old method : 0.027353525161743164 length of segment : 277 time for calcul the mask position with numpy : 0.15066838264465332 nb_pixel_total : 131571 time to create 1 rle with old method : 0.1488487720489502 length of segment : 417 time for calcul the mask position with numpy : 0.0016086101531982422 nb_pixel_total : 70387 time to create 1 rle with old method : 0.09306049346923828 length of segment : 294 time for calcul the mask position with numpy : 0.05278325080871582 nb_pixel_total : 44975 time to create 1 rle with old method : 0.05323052406311035 length of segment : 222 time for calcul the mask position with numpy : 0.08205342292785645 nb_pixel_total : 61648 time to create 1 rle with old method : 0.074951171875 length of segment : 223 time for calcul the mask position with numpy : 0.11564493179321289 nb_pixel_total : 87716 time to create 1 rle with old method : 0.11424756050109863 length of segment : 491 time for calcul the mask position with numpy : 0.04060792922973633 nb_pixel_total : 24243 time to create 1 rle with old method : 0.02733302116394043 length of segment : 478 time for calcul the mask position with numpy : 0.3051931858062744 nb_pixel_total : 337444 time to create 1 rle with new method : 0.02115654945373535 length of segment : 673 time for calcul the mask position with numpy : 0.22023344039916992 nb_pixel_total : 203534 time to create 1 rle with new method : 0.015182018280029297 length of segment : 606 time for calcul the mask position with numpy : 0.03399467468261719 nb_pixel_total : 61775 time to create 1 rle with old method : 0.07256388664245605 length of segment : 498 time for calcul the mask position with numpy : 0.03496837615966797 nb_pixel_total : 29090 time to create 1 rle with old method : 0.03606367111206055 length of segment : 258 time for calcul the mask position with numpy : 0.06449627876281738 nb_pixel_total : 64131 time to create 1 rle with old method : 0.07352399826049805 length of segment : 291 time for calcul the mask position with numpy : 0.06702113151550293 nb_pixel_total : 104953 time to create 1 rle with old method : 0.1388106346130371 length of segment : 356 time for calcul the mask position with numpy : 0.006667137145996094 nb_pixel_total : 51932 time to create 1 rle with old method : 0.05928444862365723 length of segment : 226 time for calcul the mask position with numpy : 0.4039278030395508 nb_pixel_total : 312520 time to create 1 rle with new method : 0.07150101661682129 length of segment : 1222 time for calcul the mask position with numpy : 0.025445938110351562 nb_pixel_total : 38146 time to create 1 rle with old method : 0.05314159393310547 length of segment : 176 time for calcul the mask position with numpy : 0.0015048980712890625 nb_pixel_total : 10781 time to create 1 rle with old method : 0.01356816291809082 length of segment : 137 time for calcul the mask position with numpy : 0.0015513896942138672 nb_pixel_total : 52556 time to create 1 rle with old method : 0.06025242805480957 length of segment : 282 time for calcul the mask position with numpy : 0.0015349388122558594 nb_pixel_total : 57659 time to create 1 rle with old method : 0.06605911254882812 length of segment : 232 time for calcul the mask position with numpy : 0.012047052383422852 nb_pixel_total : 181310 time to create 1 rle with new method : 0.011473894119262695 length of segment : 665 time for calcul the mask position with numpy : 0.004660844802856445 nb_pixel_total : 206613 time to create 1 rle with new method : 0.013394594192504883 length of segment : 651 time for calcul the mask position with numpy : 0.025028228759765625 nb_pixel_total : 45707 time to create 1 rle with old method : 0.05816984176635742 length of segment : 332 time for calcul the mask position with numpy : 0.020867109298706055 nb_pixel_total : 113778 time to create 1 rle with old method : 0.12795209884643555 length of segment : 534 time for calcul the mask position with numpy : 0.00851750373840332 nb_pixel_total : 36318 time to create 1 rle with old method : 0.04300189018249512 length of segment : 225 time for calcul the mask position with numpy : 0.0047571659088134766 nb_pixel_total : 136024 time to create 1 rle with old method : 0.19627141952514648 length of segment : 567 time for calcul the mask position with numpy : 0.08600783348083496 nb_pixel_total : 193895 time to create 1 rle with new method : 0.022674560546875 length of segment : 637 time for calcul the mask position with numpy : 0.01198124885559082 nb_pixel_total : 59864 time to create 1 rle with old method : 0.07033133506774902 length of segment : 315 time for calcul the mask position with numpy : 0.0010182857513427734 nb_pixel_total : 35160 time to create 1 rle with old method : 0.03923439979553223 length of segment : 274 time for calcul the mask position with numpy : 0.0030121803283691406 nb_pixel_total : 155424 time to create 1 rle with new method : 0.009347915649414062 length of segment : 545 time for calcul the mask position with numpy : 0.0022857189178466797 nb_pixel_total : 38380 time to create 1 rle with old method : 0.046956777572631836 length of segment : 253 time for calcul the mask position with numpy : 0.004679441452026367 nb_pixel_total : 229432 time to create 1 rle with new method : 0.013926506042480469 length of segment : 499 time for calcul the mask position with numpy : 0.008478164672851562 nb_pixel_total : 60290 time to create 1 rle with old method : 0.07577013969421387 length of segment : 239 time for calcul the mask position with numpy : 0.0007939338684082031 nb_pixel_total : 38484 time to create 1 rle with old method : 0.042731523513793945 length of segment : 230 time for calcul the mask position with numpy : 0.0014154911041259766 nb_pixel_total : 48774 time to create 1 rle with old method : 0.05514788627624512 length of segment : 321 time for calcul the mask position with numpy : 0.06114983558654785 nb_pixel_total : 232570 time to create 1 rle with new method : 0.014522790908813477 length of segment : 691 time for calcul the mask position with numpy : 0.013652801513671875 nb_pixel_total : 90559 time to create 1 rle with old method : 0.10783696174621582 length of segment : 500 time for calcul the mask position with numpy : 0.022569656372070312 nb_pixel_total : 131330 time to create 1 rle with old method : 0.14735770225524902 length of segment : 550 time for calcul the mask position with numpy : 0.0028150081634521484 nb_pixel_total : 60607 time to create 1 rle with old method : 0.0910029411315918 length of segment : 448 time for calcul the mask position with numpy : 0.001790761947631836 nb_pixel_total : 65044 time to create 1 rle with old method : 0.07237076759338379 length of segment : 424 time for calcul the mask position with numpy : 0.003566741943359375 nb_pixel_total : 167814 time to create 1 rle with new method : 0.010525941848754883 length of segment : 827 time for calcul the mask position with numpy : 0.015744447708129883 nb_pixel_total : 71180 time to create 1 rle with old method : 0.09240078926086426 length of segment : 358 time for calcul the mask position with numpy : 0.0005328655242919922 nb_pixel_total : 21761 time to create 1 rle with old method : 0.024322509765625 length of segment : 204 time for calcul the mask position with numpy : 0.11316657066345215 nb_pixel_total : 154402 time to create 1 rle with new method : 0.018412351608276367 length of segment : 447 time for calcul the mask position with numpy : 0.0037899017333984375 nb_pixel_total : 78559 time to create 1 rle with old method : 0.08547520637512207 length of segment : 373 time for calcul the mask position with numpy : 0.0019125938415527344 nb_pixel_total : 62045 time to create 1 rle with old method : 0.06785130500793457 length of segment : 411 time for calcul the mask position with numpy : 0.005980730056762695 nb_pixel_total : 208885 time to create 1 rle with new method : 0.016952037811279297 length of segment : 813 time for calcul the mask position with numpy : 0.0015568733215332031 nb_pixel_total : 58962 time to create 1 rle with old method : 0.0795447826385498 length of segment : 415 time for calcul the mask position with numpy : 0.0013232231140136719 nb_pixel_total : 46156 time to create 1 rle with old method : 0.06114792823791504 length of segment : 322 time for calcul the mask position with numpy : 0.25015854835510254 nb_pixel_total : 64737 time to create 1 rle with old method : 0.08704614639282227 length of segment : 334 time for calcul the mask position with numpy : 0.07650136947631836 nb_pixel_total : 33850 time to create 1 rle with old method : 0.04924297332763672 length of segment : 177 time for calcul the mask position with numpy : 0.28952980041503906 nb_pixel_total : 240293 time to create 1 rle with new method : 0.012600421905517578 length of segment : 453 time for calcul the mask position with numpy : 1.3320610523223877 nb_pixel_total : 399870 time to create 1 rle with new method : 0.2066938877105713 length of segment : 1010 time for calcul the mask position with numpy : 0.16429972648620605 nb_pixel_total : 47795 time to create 1 rle with old method : 0.058446645736694336 length of segment : 265 time for calcul the mask position with numpy : 0.12047672271728516 nb_pixel_total : 28662 time to create 1 rle with old method : 0.040741682052612305 length of segment : 167 time for calcul the mask position with numpy : 0.4822990894317627 nb_pixel_total : 285789 time to create 1 rle with new method : 0.021154403686523438 length of segment : 920 time for calcul the mask position with numpy : 0.08440518379211426 nb_pixel_total : 24703 time to create 1 rle with old method : 0.031641483306884766 length of segment : 223 time for calcul the mask position with numpy : 0.4450407028198242 nb_pixel_total : 299970 time to create 1 rle with new method : 0.0219728946685791 length of segment : 526 time for calcul the mask position with numpy : 0.24940776824951172 nb_pixel_total : 89601 time to create 1 rle with old method : 0.10898160934448242 length of segment : 598 time for calcul the mask position with numpy : 0.010390758514404297 nb_pixel_total : 86625 time to create 1 rle with old method : 0.09933948516845703 length of segment : 354 time for calcul the mask position with numpy : 0.29728007316589355 nb_pixel_total : 146712 time to create 1 rle with old method : 0.18452906608581543 length of segment : 374 time for calcul the mask position with numpy : 0.1000373363494873 nb_pixel_total : 63996 time to create 1 rle with old method : 0.07462334632873535 length of segment : 327 time for calcul the mask position with numpy : 0.3227415084838867 nb_pixel_total : 112347 time to create 1 rle with old method : 0.13041162490844727 length of segment : 469 time for calcul the mask position with numpy : 0.08817028999328613 nb_pixel_total : 108839 time to create 1 rle with old method : 0.1276237964630127 length of segment : 336 time for calcul the mask position with numpy : 0.013845682144165039 nb_pixel_total : 44769 time to create 1 rle with old method : 0.05445122718811035 length of segment : 213 time for calcul the mask position with numpy : 0.09033870697021484 nb_pixel_total : 22592 time to create 1 rle with old method : 0.029151439666748047 length of segment : 234 time for calcul the mask position with numpy : 0.08450627326965332 nb_pixel_total : 50963 time to create 1 rle with old method : 0.06152009963989258 length of segment : 518 time for calcul the mask position with numpy : 0.45910072326660156 nb_pixel_total : 188666 time to create 1 rle with new method : 0.012821674346923828 length of segment : 453 time for calcul the mask position with numpy : 0.10630512237548828 nb_pixel_total : 30180 time to create 1 rle with old method : 0.0382533073425293 length of segment : 375 time for calcul the mask position with numpy : 0.014821052551269531 nb_pixel_total : 19066 time to create 1 rle with old method : 0.028435468673706055 length of segment : 229 time for calcul the mask position with numpy : 0.20623517036437988 nb_pixel_total : 129437 time to create 1 rle with old method : 0.19223928451538086 length of segment : 619 time for calcul the mask position with numpy : 1.0428361892700195 nb_pixel_total : 660344 time to create 1 rle with new method : 0.09099650382995605 length of segment : 944 time for calcul the mask position with numpy : 0.12810468673706055 nb_pixel_total : 79765 time to create 1 rle with old method : 0.09911322593688965 length of segment : 375 time for calcul the mask position with numpy : 0.2417001724243164 nb_pixel_total : 246947 time to create 1 rle with new method : 0.015053033828735352 length of segment : 419 time for calcul the mask position with numpy : 0.15999627113342285 nb_pixel_total : 284837 time to create 1 rle with new method : 0.01669931411743164 length of segment : 497 time for calcul the mask position with numpy : 0.02285909652709961 nb_pixel_total : 41158 time to create 1 rle with old method : 0.0543980598449707 length of segment : 202 time for calcul the mask position with numpy : 0.042135000228881836 nb_pixel_total : 102961 time to create 1 rle with old method : 0.12755346298217773 length of segment : 609 time for calcul the mask position with numpy : 0.040572404861450195 nb_pixel_total : 22577 time to create 1 rle with old method : 0.03889298439025879 length of segment : 273 time for calcul the mask position with numpy : 0.008526802062988281 nb_pixel_total : 25124 time to create 1 rle with old method : 0.031122684478759766 length of segment : 216 time for calcul the mask position with numpy : 0.018010377883911133 nb_pixel_total : 35596 time to create 1 rle with old method : 0.04622507095336914 length of segment : 225 time for calcul the mask position with numpy : 0.03670239448547363 nb_pixel_total : 125138 time to create 1 rle with old method : 0.14444828033447266 length of segment : 417 time for calcul the mask position with numpy : 0.1745595932006836 nb_pixel_total : 123824 time to create 1 rle with old method : 0.1397550106048584 length of segment : 374 time for calcul the mask position with numpy : 0.09304237365722656 nb_pixel_total : 207669 time to create 1 rle with new method : 0.012755155563354492 length of segment : 401 time for calcul the mask position with numpy : 0.22885560989379883 nb_pixel_total : 68291 time to create 1 rle with old method : 0.09079885482788086 length of segment : 348 time for calcul the mask position with numpy : 0.92276930809021 nb_pixel_total : 552886 time to create 1 rle with new method : 0.04234147071838379 length of segment : 853 time for calcul the mask position with numpy : 0.17383074760437012 nb_pixel_total : 254921 time to create 1 rle with new method : 0.017817258834838867 length of segment : 769 time for calcul the mask position with numpy : 0.0009672641754150391 nb_pixel_total : 41245 time to create 1 rle with old method : 0.046533823013305664 length of segment : 213 time for calcul the mask position with numpy : 0.1025390625 nb_pixel_total : 48626 time to create 1 rle with old method : 0.0623934268951416 length of segment : 264 time for calcul the mask position with numpy : 0.084442138671875 nb_pixel_total : 48008 time to create 1 rle with old method : 0.08903908729553223 length of segment : 320 time for calcul the mask position with numpy : 0.013331890106201172 nb_pixel_total : 43566 time to create 1 rle with old method : 0.05408835411071777 length of segment : 239 time for calcul the mask position with numpy : 0.001230001449584961 nb_pixel_total : 22146 time to create 1 rle with old method : 0.027103185653686523 length of segment : 188 time for calcul the mask position with numpy : 0.27338576316833496 nb_pixel_total : 211445 time to create 1 rle with new method : 0.017347097396850586 length of segment : 570 time for calcul the mask position with numpy : 0.04943656921386719 nb_pixel_total : 63700 time to create 1 rle with old method : 0.08357834815979004 length of segment : 235 time for calcul the mask position with numpy : 0.2964057922363281 nb_pixel_total : 251345 time to create 1 rle with new method : 0.024640321731567383 length of segment : 732 time for calcul the mask position with numpy : 0.002813577651977539 nb_pixel_total : 100288 time to create 1 rle with old method : 0.11362576484680176 length of segment : 272 time for calcul the mask position with numpy : 0.01452183723449707 nb_pixel_total : 40311 time to create 1 rle with old method : 0.04606223106384277 length of segment : 256 time for calcul the mask position with numpy : 0.021462202072143555 nb_pixel_total : 87387 time to create 1 rle with old method : 0.1007699966430664 length of segment : 381 time for calcul the mask position with numpy : 0.03455829620361328 nb_pixel_total : 96918 time to create 1 rle with old method : 0.11050295829772949 length of segment : 743 time for calcul the mask position with numpy : 0.004792451858520508 nb_pixel_total : 141435 time to create 1 rle with old method : 0.17212367057800293 length of segment : 559 time for calcul the mask position with numpy : 0.1914982795715332 nb_pixel_total : 56769 time to create 1 rle with old method : 0.06877756118774414 length of segment : 272 time for calcul the mask position with numpy : 0.05496048927307129 nb_pixel_total : 95020 time to create 1 rle with old method : 0.10678362846374512 length of segment : 504 time for calcul the mask position with numpy : 0.007607698440551758 nb_pixel_total : 57531 time to create 1 rle with old method : 0.06500029563903809 length of segment : 538 time for calcul the mask position with numpy : 0.07962274551391602 nb_pixel_total : 190890 time to create 1 rle with new method : 0.013936996459960938 length of segment : 543 time for calcul the mask position with numpy : 0.009365558624267578 nb_pixel_total : 21134 time to create 1 rle with old method : 0.023990154266357422 length of segment : 374 time for calcul the mask position with numpy : 0.1345212459564209 nb_pixel_total : 124332 time to create 1 rle with old method : 0.14353609085083008 length of segment : 352 time for calcul the mask position with numpy : 0.04221034049987793 nb_pixel_total : 172913 time to create 1 rle with new method : 0.013366460800170898 length of segment : 593 time for calcul the mask position with numpy : 0.00977945327758789 nb_pixel_total : 202432 time to create 1 rle with new method : 0.020779132843017578 length of segment : 698 time for calcul the mask position with numpy : 0.0950312614440918 nb_pixel_total : 70121 time to create 1 rle with old method : 0.09064459800720215 length of segment : 354 time for calcul the mask position with numpy : 0.005953073501586914 nb_pixel_total : 34190 time to create 1 rle with old method : 0.04149436950683594 length of segment : 200 time for calcul the mask position with numpy : 0.002149343490600586 nb_pixel_total : 53854 time to create 1 rle with old method : 0.06412124633789062 length of segment : 309 time for calcul the mask position with numpy : 0.15042662620544434 nb_pixel_total : 243696 time to create 1 rle with new method : 0.03158926963806152 length of segment : 661 time for calcul the mask position with numpy : 0.00816488265991211 nb_pixel_total : 70600 time to create 1 rle with old method : 0.0969245433807373 length of segment : 360 time for calcul the mask position with numpy : 0.04214310646057129 nb_pixel_total : 149948 time to create 1 rle with old method : 0.21847867965698242 length of segment : 433 time for calcul the mask position with numpy : 0.35181427001953125 nb_pixel_total : 516051 time to create 1 rle with new method : 0.05357098579406738 length of segment : 742 time for calcul the mask position with numpy : 0.01462697982788086 nb_pixel_total : 72197 time to create 1 rle with old method : 0.08438372611999512 length of segment : 301 time for calcul the mask position with numpy : 0.028760910034179688 nb_pixel_total : 140859 time to create 1 rle with old method : 0.18745207786560059 length of segment : 398 time for calcul the mask position with numpy : 0.21166348457336426 nb_pixel_total : 814606 time to create 1 rle with new method : 0.12208127975463867 length of segment : 1057 time for calcul the mask position with numpy : 0.009841442108154297 nb_pixel_total : 97263 time to create 1 rle with old method : 0.13266563415527344 length of segment : 384 time for calcul the mask position with numpy : 0.001270294189453125 nb_pixel_total : 70526 time to create 1 rle with old method : 0.08597636222839355 length of segment : 271 time for calcul the mask position with numpy : 0.032263994216918945 nb_pixel_total : 866890 time to create 1 rle with new method : 0.1862483024597168 length of segment : 981 time for calcul the mask position with numpy : 0.0035037994384765625 nb_pixel_total : 139496 time to create 1 rle with old method : 0.17360544204711914 length of segment : 552 time for calcul the mask position with numpy : 0.011554718017578125 nb_pixel_total : 51577 time to create 1 rle with old method : 0.07427048683166504 length of segment : 290 time for calcul the mask position with numpy : 0.005772829055786133 nb_pixel_total : 97720 time to create 1 rle with old method : 0.11352801322937012 length of segment : 357 time for calcul the mask position with numpy : 0.011017322540283203 nb_pixel_total : 262225 time to create 1 rle with new method : 0.13120293617248535 length of segment : 1004 time for calcul the mask position with numpy : 0.030124664306640625 nb_pixel_total : 150709 time to create 1 rle with new method : 0.010893821716308594 length of segment : 451 time for calcul the mask position with numpy : 0.0019974708557128906 nb_pixel_total : 41078 time to create 1 rle with old method : 0.05154132843017578 length of segment : 241 time for calcul the mask position with numpy : 0.00903463363647461 nb_pixel_total : 151424 time to create 1 rle with new method : 0.01239156723022461 length of segment : 465 time for calcul the mask position with numpy : 0.00417637825012207 nb_pixel_total : 199356 time to create 1 rle with new method : 0.012808084487915039 length of segment : 617 time for calcul the mask position with numpy : 0.00515437126159668 nb_pixel_total : 96873 time to create 1 rle with old method : 0.11401987075805664 length of segment : 571 time for calcul the mask position with numpy : 0.0031957626342773438 nb_pixel_total : 35277 time to create 1 rle with old method : 0.040186166763305664 length of segment : 509 time for calcul the mask position with numpy : 0.009471416473388672 nb_pixel_total : 416899 time to create 1 rle with new method : 0.031502485275268555 length of segment : 706 time for calcul the mask position with numpy : 0.04328775405883789 nb_pixel_total : 575184 time to create 1 rle with new method : 0.1927347183227539 length of segment : 1130 time for calcul the mask position with numpy : 0.03379464149475098 nb_pixel_total : 71531 time to create 1 rle with old method : 0.08621978759765625 length of segment : 352 time for calcul the mask position with numpy : 0.016194581985473633 nb_pixel_total : 232814 time to create 1 rle with new method : 0.021264076232910156 length of segment : 751 time for calcul the mask position with numpy : 1.0937061309814453 nb_pixel_total : 546323 time to create 1 rle with new method : 0.06341552734375 length of segment : 1151 time for calcul the mask position with numpy : 0.2614786624908447 nb_pixel_total : 66261 time to create 1 rle with old method : 0.08612990379333496 length of segment : 297 time for calcul the mask position with numpy : 0.36850428581237793 nb_pixel_total : 242015 time to create 1 rle with new method : 0.012427330017089844 length of segment : 624 time for calcul the mask position with numpy : 0.4218924045562744 nb_pixel_total : 108429 time to create 1 rle with old method : 0.12279558181762695 length of segment : 491 time for calcul the mask position with numpy : 1.390185832977295 nb_pixel_total : 529587 time to create 1 rle with new method : 0.06329560279846191 length of segment : 833 time for calcul the mask position with numpy : 0.4214742183685303 nb_pixel_total : 276103 time to create 1 rle with new method : 0.015735387802124023 length of segment : 832 time for calcul the mask position with numpy : 0.16340088844299316 nb_pixel_total : 56229 time to create 1 rle with old method : 0.06996774673461914 length of segment : 186 time for calcul the mask position with numpy : 0.07648301124572754 nb_pixel_total : 93807 time to create 1 rle with old method : 0.10741519927978516 length of segment : 625 time for calcul the mask position with numpy : 0.14018464088439941 nb_pixel_total : 62413 time to create 1 rle with old method : 0.07459878921508789 length of segment : 292 time for calcul the mask position with numpy : 1.1241874694824219 nb_pixel_total : 704769 time to create 1 rle with new method : 0.09355473518371582 length of segment : 961 time for calcul the mask position with numpy : 0.20278167724609375 nb_pixel_total : 67726 time to create 1 rle with old method : 0.08003973960876465 length of segment : 321 time for calcul the mask position with numpy : 1.3766953945159912 nb_pixel_total : 885994 time to create 1 rle with new method : 0.12442946434020996 length of segment : 1058 time for calcul the mask position with numpy : 0.7480931282043457 nb_pixel_total : 466660 time to create 1 rle with new method : 0.048394203186035156 length of segment : 1357 time for calcul the mask position with numpy : 0.06403732299804688 nb_pixel_total : 64603 time to create 1 rle with old method : 0.08075523376464844 length of segment : 364 time for calcul the mask position with numpy : 0.082550048828125 nb_pixel_total : 86848 time to create 1 rle with old method : 0.11502575874328613 length of segment : 348 time for calcul the mask position with numpy : 0.7906930446624756 nb_pixel_total : 843747 time to create 1 rle with new method : 0.10013937950134277 length of segment : 808 time for calcul the mask position with numpy : 0.01565265655517578 nb_pixel_total : 67682 time to create 1 rle with old method : 0.08007979393005371 length of segment : 279 time for calcul the mask position with numpy : 0.02402472496032715 nb_pixel_total : 31254 time to create 1 rle with old method : 0.04578542709350586 length of segment : 204 time for calcul the mask position with numpy : 0.0540623664855957 nb_pixel_total : 14258 time to create 1 rle with old method : 0.020819664001464844 length of segment : 226 time for calcul the mask position with numpy : 0.16354870796203613 nb_pixel_total : 104484 time to create 1 rle with old method : 0.1212918758392334 length of segment : 554 time for calcul the mask position with numpy : 0.020457744598388672 nb_pixel_total : 128095 time to create 1 rle with old method : 0.1671605110168457 length of segment : 436 time for calcul the mask position with numpy : 0.0017809867858886719 nb_pixel_total : 79122 time to create 1 rle with old method : 0.08584856986999512 length of segment : 260 time for calcul the mask position with numpy : 0.291964054107666 nb_pixel_total : 366801 time to create 1 rle with new method : 0.024816513061523438 length of segment : 930 time for calcul the mask position with numpy : 0.10307884216308594 nb_pixel_total : 60665 time to create 1 rle with old method : 0.06404304504394531 length of segment : 422 time for calcul the mask position with numpy : 0.02159595489501953 nb_pixel_total : 282798 time to create 1 rle with new method : 0.025777101516723633 length of segment : 934 time for calcul the mask position with numpy : 0.5189366340637207 nb_pixel_total : 445195 time to create 1 rle with new method : 0.04507160186767578 length of segment : 918 time for calcul the mask position with numpy : 0.24619626998901367 nb_pixel_total : 117536 time to create 1 rle with old method : 0.14923334121704102 length of segment : 419 time for calcul the mask position with numpy : 0.023406505584716797 nb_pixel_total : 23487 time to create 1 rle with old method : 0.035074710845947266 length of segment : 197 time for calcul the mask position with numpy : 0.0057163238525390625 nb_pixel_total : 112275 time to create 1 rle with old method : 0.15107059478759766 length of segment : 582 time for calcul the mask position with numpy : 0.007754802703857422 nb_pixel_total : 218654 time to create 1 rle with new method : 0.02796196937561035 length of segment : 596 time for calcul the mask position with numpy : 0.054126739501953125 nb_pixel_total : 235825 time to create 1 rle with new method : 0.018960952758789062 length of segment : 601 time for calcul the mask position with numpy : 0.2027285099029541 nb_pixel_total : 1245592 time to create 1 rle with new method : 0.1469118595123291 length of segment : 1675 time for calcul the mask position with numpy : 0.0018875598907470703 nb_pixel_total : 92154 time to create 1 rle with old method : 0.10312700271606445 length of segment : 287 time for calcul the mask position with numpy : 0.0937955379486084 nb_pixel_total : 57752 time to create 1 rle with old method : 0.07104253768920898 length of segment : 253 time for calcul the mask position with numpy : 0.20132207870483398 nb_pixel_total : 228701 time to create 1 rle with new method : 0.01605963706970215 length of segment : 590 time for calcul the mask position with numpy : 0.07629776000976562 nb_pixel_total : 38491 time to create 1 rle with old method : 0.0647897720336914 length of segment : 222 time for calcul the mask position with numpy : 0.019809722900390625 nb_pixel_total : 13993 time to create 1 rle with old method : 0.018047571182250977 length of segment : 202 time for calcul the mask position with numpy : 0.143585205078125 nb_pixel_total : 88138 time to create 1 rle with old method : 0.11876392364501953 length of segment : 353 time for calcul the mask position with numpy : 0.012068510055541992 nb_pixel_total : 16250 time to create 1 rle with old method : 0.02504253387451172 length of segment : 118 time for calcul the mask position with numpy : 0.0262451171875 nb_pixel_total : 62226 time to create 1 rle with old method : 0.0730600357055664 length of segment : 308 time for calcul the mask position with numpy : 0.07523989677429199 nb_pixel_total : 106227 time to create 1 rle with old method : 0.13449621200561523 length of segment : 384 time for calcul the mask position with numpy : 0.03083658218383789 nb_pixel_total : 40482 time to create 1 rle with old method : 0.04877972602844238 length of segment : 266 time for calcul the mask position with numpy : 0.0672001838684082 nb_pixel_total : 151173 time to create 1 rle with new method : 0.010957002639770508 length of segment : 720 time for calcul the mask position with numpy : 0.0022678375244140625 nb_pixel_total : 112775 time to create 1 rle with old method : 0.1246945858001709 length of segment : 501 time for calcul the mask position with numpy : 0.11427783966064453 nb_pixel_total : 80577 time to create 1 rle with old method : 0.10615897178649902 length of segment : 519 time for calcul the mask position with numpy : 0.007636070251464844 nb_pixel_total : 12193 time to create 1 rle with old method : 0.016316652297973633 length of segment : 174 time for calcul the mask position with numpy : 0.0018079280853271484 nb_pixel_total : 62809 time to create 1 rle with old method : 0.07969021797180176 length of segment : 352 time for calcul the mask position with numpy : 0.0009906291961669922 nb_pixel_total : 38591 time to create 1 rle with old method : 0.044183969497680664 length of segment : 224 time for calcul the mask position with numpy : 0.0026602745056152344 nb_pixel_total : 19101 time to create 1 rle with old method : 0.021502971649169922 length of segment : 270 time for calcul the mask position with numpy : 0.0017626285552978516 nb_pixel_total : 59377 time to create 1 rle with old method : 0.06725025177001953 length of segment : 311 time for calcul the mask position with numpy : 0.0006892681121826172 nb_pixel_total : 4725 time to create 1 rle with old method : 0.005991935729980469 length of segment : 164 time for calcul the mask position with numpy : 0.005385160446166992 nb_pixel_total : 20090 time to create 1 rle with old method : 0.025506258010864258 length of segment : 174 time for calcul the mask position with numpy : 0.0012018680572509766 nb_pixel_total : 55951 time to create 1 rle with old method : 0.06313037872314453 length of segment : 247 time for calcul the mask position with numpy : 0.0005755424499511719 nb_pixel_total : 32806 time to create 1 rle with old method : 0.038393497467041016 length of segment : 203 time for calcul the mask position with numpy : 0.004712104797363281 nb_pixel_total : 118119 time to create 1 rle with old method : 0.145355224609375 length of segment : 407 time for calcul the mask position with numpy : 0.015757322311401367 nb_pixel_total : 31814 time to create 1 rle with old method : 0.05686616897583008 length of segment : 237 time for calcul the mask position with numpy : 0.0034270286560058594 nb_pixel_total : 180473 time to create 1 rle with new method : 0.009814977645874023 length of segment : 442 time for calcul the mask position with numpy : 0.028930187225341797 nb_pixel_total : 61031 time to create 1 rle with old method : 0.07414531707763672 length of segment : 283 time for calcul the mask position with numpy : 0.0025720596313476562 nb_pixel_total : 45404 time to create 1 rle with old method : 0.05181717872619629 length of segment : 192 time for calcul the mask position with numpy : 0.5897455215454102 nb_pixel_total : 595434 time to create 1 rle with new method : 0.253741979598999 length of segment : 1232 time for calcul the mask position with numpy : 0.021150588989257812 nb_pixel_total : 390464 time to create 1 rle with new method : 0.043982744216918945 length of segment : 898 time for calcul the mask position with numpy : 0.0016999244689941406 nb_pixel_total : 43923 time to create 1 rle with old method : 0.05217242240905762 length of segment : 361 time for calcul the mask position with numpy : 0.011738300323486328 nb_pixel_total : 157177 time to create 1 rle with new method : 0.011430740356445312 length of segment : 490 time for calcul the mask position with numpy : 0.001798868179321289 nb_pixel_total : 53353 time to create 1 rle with old method : 0.06026816368103027 length of segment : 342 time for calcul the mask position with numpy : 0.004061698913574219 nb_pixel_total : 97756 time to create 1 rle with old method : 0.1130826473236084 length of segment : 285 time for calcul the mask position with numpy : 0.0023381710052490234 nb_pixel_total : 98503 time to create 1 rle with old method : 0.12871289253234863 length of segment : 399 time for calcul the mask position with numpy : 0.05523204803466797 nb_pixel_total : 109308 time to create 1 rle with old method : 0.12439131736755371 length of segment : 465 time for calcul the mask position with numpy : 0.003730297088623047 nb_pixel_total : 180475 time to create 1 rle with new method : 0.011242389678955078 length of segment : 441 time for calcul the mask position with numpy : 0.02416515350341797 nb_pixel_total : 772998 time to create 1 rle with new method : 0.03897452354431152 length of segment : 1597 time for calcul the mask position with numpy : 0.0011515617370605469 nb_pixel_total : 49137 time to create 1 rle with old method : 0.06058335304260254 length of segment : 264 time for calcul the mask position with numpy : 0.015242338180541992 nb_pixel_total : 529981 time to create 1 rle with new method : 0.041854143142700195 length of segment : 1360 time for calcul the mask position with numpy : 0.08755612373352051 nb_pixel_total : 86389 time to create 1 rle with old method : 0.10252904891967773 length of segment : 475 time for calcul the mask position with numpy : 0.0845181941986084 nb_pixel_total : 18283 time to create 1 rle with old method : 0.02423715591430664 length of segment : 156 time for calcul the mask position with numpy : 0.2069547176361084 nb_pixel_total : 92940 time to create 1 rle with old method : 0.12824702262878418 length of segment : 354 time for calcul the mask position with numpy : 0.25415706634521484 nb_pixel_total : 432219 time to create 1 rle with new method : 0.021420955657958984 length of segment : 662 time for calcul the mask position with numpy : 0.053006887435913086 nb_pixel_total : 139344 time to create 1 rle with old method : 0.16133499145507812 length of segment : 480 time for calcul the mask position with numpy : 0.0026886463165283203 nb_pixel_total : 22279 time to create 1 rle with old method : 0.026532649993896484 length of segment : 168 time for calcul the mask position with numpy : 0.05937647819519043 nb_pixel_total : 75889 time to create 1 rle with old method : 0.09008049964904785 length of segment : 330 time for calcul the mask position with numpy : 0.6907598972320557 nb_pixel_total : 152217 time to create 1 rle with new method : 0.013890743255615234 length of segment : 599 time for calcul the mask position with numpy : 0.4336659908294678 nb_pixel_total : 164899 time to create 1 rle with new method : 0.012075185775756836 length of segment : 527 time for calcul the mask position with numpy : 0.1873793601989746 nb_pixel_total : 161865 time to create 1 rle with new method : 0.011160612106323242 length of segment : 511 time for calcul the mask position with numpy : 0.0339655876159668 nb_pixel_total : 24894 time to create 1 rle with old method : 0.03126025199890137 length of segment : 229 time for calcul the mask position with numpy : 0.12013006210327148 nb_pixel_total : 44445 time to create 1 rle with old method : 0.05417823791503906 length of segment : 300 time for calcul the mask position with numpy : 0.00106048583984375 nb_pixel_total : 17205 time to create 1 rle with old method : 0.019754409790039062 length of segment : 172 time for calcul the mask position with numpy : 0.6053729057312012 nb_pixel_total : 243539 time to create 1 rle with new method : 0.01761627197265625 length of segment : 599 time for calcul the mask position with numpy : 0.07003402709960938 nb_pixel_total : 118131 time to create 1 rle with old method : 0.1418437957763672 length of segment : 628 time for calcul the mask position with numpy : 0.2922787666320801 nb_pixel_total : 347890 time to create 1 rle with new method : 0.049982309341430664 length of segment : 940 time for calcul the mask position with numpy : 0.08008718490600586 nb_pixel_total : 34025 time to create 1 rle with old method : 0.04279303550720215 length of segment : 295 time for calcul the mask position with numpy : 0.19997739791870117 nb_pixel_total : 146015 time to create 1 rle with old method : 0.16451191902160645 length of segment : 744 time for calcul the mask position with numpy : 0.0013852119445800781 nb_pixel_total : 23884 time to create 1 rle with old method : 0.027308225631713867 length of segment : 222 time for calcul the mask position with numpy : 0.37990474700927734 nb_pixel_total : 356136 time to create 1 rle with new method : 0.024429798126220703 length of segment : 849 time for calcul the mask position with numpy : 0.05715155601501465 nb_pixel_total : 79252 time to create 1 rle with old method : 0.09663271903991699 length of segment : 397 time for calcul the mask position with numpy : 0.03703451156616211 nb_pixel_total : 84576 time to create 1 rle with old method : 0.10557270050048828 length of segment : 382 time for calcul the mask position with numpy : 0.06813526153564453 nb_pixel_total : 144347 time to create 1 rle with old method : 0.170304536819458 length of segment : 453 time for calcul the mask position with numpy : 0.03824210166931152 nb_pixel_total : 40482 time to create 1 rle with old method : 0.04924583435058594 length of segment : 243 time for calcul the mask position with numpy : 0.20732545852661133 nb_pixel_total : 451951 time to create 1 rle with new method : 0.03130030632019043 length of segment : 760 time for calcul the mask position with numpy : 0.05678391456604004 nb_pixel_total : 139484 time to create 1 rle with old method : 0.17748427391052246 length of segment : 505 time for calcul the mask position with numpy : 0.024471759796142578 nb_pixel_total : 60267 time to create 1 rle with old method : 0.08905625343322754 length of segment : 302 time for calcul the mask position with numpy : 0.38219499588012695 nb_pixel_total : 732059 time to create 1 rle with new method : 0.04006385803222656 length of segment : 1454 time for calcul the mask position with numpy : 0.026299715042114258 nb_pixel_total : 156047 time to create 1 rle with new method : 0.010358572006225586 length of segment : 696 time for calcul the mask position with numpy : 0.18726778030395508 nb_pixel_total : 140318 time to create 1 rle with old method : 0.16430950164794922 length of segment : 517 time for calcul the mask position with numpy : 0.0005064010620117188 nb_pixel_total : 13502 time to create 1 rle with old method : 0.01584482192993164 length of segment : 162 time for calcul the mask position with numpy : 0.05479717254638672 nb_pixel_total : 108659 time to create 1 rle with old method : 0.12906622886657715 length of segment : 436 time for calcul the mask position with numpy : 0.6123082637786865 nb_pixel_total : 1034558 time to create 1 rle with new method : 0.16040253639221191 length of segment : 1301 time for calcul the mask position with numpy : 0.002474546432495117 nb_pixel_total : 98497 time to create 1 rle with old method : 0.11102771759033203 length of segment : 389 time for calcul the mask position with numpy : 0.06842231750488281 nb_pixel_total : 170014 time to create 1 rle with new method : 0.01091623306274414 length of segment : 582 time for calcul the mask position with numpy : 0.02880406379699707 nb_pixel_total : 53731 time to create 1 rle with old method : 0.060517311096191406 length of segment : 364 time for calcul the mask position with numpy : 0.05197429656982422 nb_pixel_total : 186223 time to create 1 rle with new method : 0.009058713912963867 length of segment : 443 time for calcul the mask position with numpy : 0.09841346740722656 nb_pixel_total : 180306 time to create 1 rle with new method : 0.02041935920715332 length of segment : 606 time for calcul the mask position with numpy : 0.015705585479736328 nb_pixel_total : 144785 time to create 1 rle with old method : 0.18054723739624023 length of segment : 530 time for calcul the mask position with numpy : 0.07155585289001465 nb_pixel_total : 193453 time to create 1 rle with new method : 0.01839590072631836 length of segment : 642 time for calcul the mask position with numpy : 0.001543283462524414 nb_pixel_total : 27286 time to create 1 rle with old method : 0.03096914291381836 length of segment : 125 time for calcul the mask position with numpy : 0.0009872913360595703 nb_pixel_total : 38789 time to create 1 rle with old method : 0.04321646690368652 length of segment : 346 time for calcul the mask position with numpy : 0.0025739669799804688 nb_pixel_total : 83117 time to create 1 rle with old method : 0.09419798851013184 length of segment : 237 time for calcul the mask position with numpy : 0.0010297298431396484 nb_pixel_total : 14348 time to create 1 rle with old method : 0.01908707618713379 length of segment : 187 time for calcul the mask position with numpy : 0.0012569427490234375 nb_pixel_total : 26477 time to create 1 rle with old method : 0.03319239616394043 length of segment : 160 time for calcul the mask position with numpy : 0.07067060470581055 nb_pixel_total : 253477 time to create 1 rle with new method : 0.012295722961425781 length of segment : 575 time for calcul the mask position with numpy : 0.007681846618652344 nb_pixel_total : 34801 time to create 1 rle with old method : 0.041478872299194336 length of segment : 258 time for calcul the mask position with numpy : 0.0025207996368408203 nb_pixel_total : 142196 time to create 1 rle with old method : 0.16248178482055664 length of segment : 511 time for calcul the mask position with numpy : 0.05036616325378418 nb_pixel_total : 162400 time to create 1 rle with new method : 0.014221906661987305 length of segment : 828 time for calcul the mask position with numpy : 0.009051084518432617 nb_pixel_total : 38995 time to create 1 rle with old method : 0.04640960693359375 length of segment : 273 time for calcul the mask position with numpy : 0.008116722106933594 nb_pixel_total : 5698 time to create 1 rle with old method : 0.00748443603515625 length of segment : 106 time for calcul the mask position with numpy : 0.019399166107177734 nb_pixel_total : 88834 time to create 1 rle with old method : 0.10408186912536621 length of segment : 286 time for calcul the mask position with numpy : 0.0036606788635253906 nb_pixel_total : 148629 time to create 1 rle with old method : 0.16576004028320312 length of segment : 311 time for calcul the mask position with numpy : 0.016268014907836914 nb_pixel_total : 700101 time to create 1 rle with new method : 0.06224250793457031 length of segment : 1395 time for calcul the mask position with numpy : 0.0007879734039306641 nb_pixel_total : 30706 time to create 1 rle with old method : 0.03458285331726074 length of segment : 307 time for calcul the mask position with numpy : 0.012691020965576172 nb_pixel_total : 309754 time to create 1 rle with new method : 0.019269704818725586 length of segment : 391 time for calcul the mask position with numpy : 0.0024983882904052734 nb_pixel_total : 140794 time to create 1 rle with old method : 0.15631556510925293 length of segment : 587 time for calcul the mask position with numpy : 0.0009596347808837891 nb_pixel_total : 39344 time to create 1 rle with old method : 0.07228541374206543 length of segment : 226 time for calcul the mask position with numpy : 0.010329484939575195 nb_pixel_total : 83181 time to create 1 rle with old method : 0.09586596488952637 length of segment : 362 time for calcul the mask position with numpy : 0.042928457260131836 nb_pixel_total : 309903 time to create 1 rle with new method : 0.018982648849487305 length of segment : 648 time for calcul the mask position with numpy : 0.0034911632537841797 nb_pixel_total : 109231 time to create 1 rle with old method : 0.12267255783081055 length of segment : 491 time for calcul the mask position with numpy : 0.007989168167114258 nb_pixel_total : 161887 time to create 1 rle with new method : 0.010216712951660156 length of segment : 371 time for calcul the mask position with numpy : 0.0006167888641357422 nb_pixel_total : 20638 time to create 1 rle with old method : 0.024242401123046875 length of segment : 180 time for calcul the mask position with numpy : 0.0016748905181884766 nb_pixel_total : 38268 time to create 1 rle with old method : 0.043623924255371094 length of segment : 183 time for calcul the mask position with numpy : 0.0021622180938720703 nb_pixel_total : 34118 time to create 1 rle with old method : 0.03927159309387207 length of segment : 166 time for calcul the mask position with numpy : 0.0010766983032226562 nb_pixel_total : 39161 time to create 1 rle with old method : 0.046912193298339844 length of segment : 209 time for calcul the mask position with numpy : 0.002500295639038086 nb_pixel_total : 96999 time to create 1 rle with old method : 0.10782694816589355 length of segment : 340 time for calcul the mask position with numpy : 0.10690498352050781 nb_pixel_total : 32350 time to create 1 rle with old method : 0.04013252258300781 length of segment : 266 time for calcul the mask position with numpy : 0.4941439628601074 nb_pixel_total : 242637 time to create 1 rle with new method : 0.015569448471069336 length of segment : 683 time for calcul the mask position with numpy : 0.4178805351257324 nb_pixel_total : 159108 time to create 1 rle with new method : 0.010979890823364258 length of segment : 355 time for calcul the mask position with numpy : 0.06370759010314941 nb_pixel_total : 38479 time to create 1 rle with old method : 0.04988813400268555 length of segment : 236 time for calcul the mask position with numpy : 0.17002177238464355 nb_pixel_total : 90040 time to create 1 rle with old method : 0.12495160102844238 length of segment : 303 time for calcul the mask position with numpy : 0.13521862030029297 nb_pixel_total : 209008 time to create 1 rle with new method : 0.01636958122253418 length of segment : 772 time for calcul the mask position with numpy : 0.045094966888427734 nb_pixel_total : 33431 time to create 1 rle with old method : 0.0422055721282959 length of segment : 212 time for calcul the mask position with numpy : 0.15298819541931152 nb_pixel_total : 64712 time to create 1 rle with old method : 0.07591867446899414 length of segment : 484 time for calcul the mask position with numpy : 0.35838794708251953 nb_pixel_total : 132144 time to create 1 rle with old method : 0.15130090713500977 length of segment : 367 time for calcul the mask position with numpy : 0.0017199516296386719 nb_pixel_total : 10046 time to create 1 rle with old method : 0.011486053466796875 length of segment : 145 time for calcul the mask position with numpy : 0.0723733901977539 nb_pixel_total : 35799 time to create 1 rle with old method : 0.043845176696777344 length of segment : 293 time for calcul the mask position with numpy : 0.15622162818908691 nb_pixel_total : 151615 time to create 1 rle with new method : 0.007714033126831055 length of segment : 377 time for calcul the mask position with numpy : 0.20889902114868164 nb_pixel_total : 92946 time to create 1 rle with old method : 0.12727665901184082 length of segment : 640 time for calcul the mask position with numpy : 0.05762648582458496 nb_pixel_total : 18652 time to create 1 rle with old method : 0.025452852249145508 length of segment : 203 time for calcul the mask position with numpy : 0.10660338401794434 nb_pixel_total : 85545 time to create 1 rle with old method : 0.09856534004211426 length of segment : 545 time for calcul the mask position with numpy : 0.22452020645141602 nb_pixel_total : 154392 time to create 1 rle with new method : 0.009613037109375 length of segment : 451 time for calcul the mask position with numpy : 0.06589555740356445 nb_pixel_total : 123623 time to create 1 rle with old method : 0.1438124179840088 length of segment : 470 time for calcul the mask position with numpy : 0.10198092460632324 nb_pixel_total : 37318 time to create 1 rle with old method : 0.05087780952453613 length of segment : 478 time for calcul the mask position with numpy : 0.03480243682861328 nb_pixel_total : 103868 time to create 1 rle with old method : 0.13904285430908203 length of segment : 398 time for calcul the mask position with numpy : 0.07435321807861328 nb_pixel_total : 26787 time to create 1 rle with old method : 0.03530383110046387 length of segment : 199 time for calcul the mask position with numpy : 0.6137988567352295 nb_pixel_total : 656496 time to create 1 rle with new method : 0.04037117958068848 length of segment : 1365 time for calcul the mask position with numpy : 0.0460205078125 nb_pixel_total : 159676 time to create 1 rle with new method : 0.010730981826782227 length of segment : 492 time for calcul the mask position with numpy : 0.07188272476196289 nb_pixel_total : 202871 time to create 1 rle with new method : 0.011518478393554688 length of segment : 633 time for calcul the mask position with numpy : 0.5937068462371826 nb_pixel_total : 530561 time to create 1 rle with new method : 0.024649858474731445 length of segment : 1144 time for calcul the mask position with numpy : 0.11820316314697266 nb_pixel_total : 376573 time to create 1 rle with new method : 0.025049448013305664 length of segment : 872 time for calcul the mask position with numpy : 0.011388063430786133 nb_pixel_total : 104730 time to create 1 rle with old method : 0.12381553649902344 length of segment : 601 time for calcul the mask position with numpy : 0.011360883712768555 nb_pixel_total : 200527 time to create 1 rle with new method : 0.009436845779418945 length of segment : 653 time for calcul the mask position with numpy : 0.12395310401916504 nb_pixel_total : 168454 time to create 1 rle with new method : 0.016506671905517578 length of segment : 668 time for calcul the mask position with numpy : 0.016829490661621094 nb_pixel_total : 50268 time to create 1 rle with old method : 0.056479692459106445 length of segment : 313 time for calcul the mask position with numpy : 0.24626636505126953 nb_pixel_total : 617042 time to create 1 rle with new method : 0.04513716697692871 length of segment : 1689 time for calcul the mask position with numpy : 0.017409086227416992 nb_pixel_total : 65115 time to create 1 rle with old method : 0.08007001876831055 length of segment : 269 time for calcul the mask position with numpy : 0.09116697311401367 nb_pixel_total : 616871 time to create 1 rle with new method : 0.03523683547973633 length of segment : 962 time for calcul the mask position with numpy : 0.0031404495239257812 nb_pixel_total : 84695 time to create 1 rle with old method : 0.09547853469848633 length of segment : 290 time for calcul the mask position with numpy : 0.012453556060791016 nb_pixel_total : 90621 time to create 1 rle with old method : 0.1055912971496582 length of segment : 477 time for calcul the mask position with numpy : 0.1670396327972412 nb_pixel_total : 271525 time to create 1 rle with new method : 0.020969390869140625 length of segment : 943 time for calcul the mask position with numpy : 0.0007836818695068359 nb_pixel_total : 27890 time to create 1 rle with old method : 0.0319972038269043 length of segment : 227 time for calcul the mask position with numpy : 0.015030860900878906 nb_pixel_total : 90169 time to create 1 rle with old method : 0.10413384437561035 length of segment : 394 time for calcul the mask position with numpy : 0.0008959770202636719 nb_pixel_total : 16630 time to create 1 rle with old method : 0.019353866577148438 length of segment : 208 time for calcul the mask position with numpy : 0.5779609680175781 nb_pixel_total : 430157 time to create 1 rle with new method : 0.039357662200927734 length of segment : 1143 time for calcul the mask position with numpy : 0.004561185836791992 nb_pixel_total : 35477 time to create 1 rle with old method : 0.0414731502532959 length of segment : 238 time for calcul the mask position with numpy : 0.0024852752685546875 nb_pixel_total : 117085 time to create 1 rle with old method : 0.13564777374267578 length of segment : 405 time for calcul the mask position with numpy : 0.0006442070007324219 nb_pixel_total : 10558 time to create 1 rle with old method : 0.012749433517456055 length of segment : 111 time for calcul the mask position with numpy : 0.006477832794189453 nb_pixel_total : 39381 time to create 1 rle with old method : 0.047013044357299805 length of segment : 244 time for calcul the mask position with numpy : 0.008477210998535156 nb_pixel_total : 46967 time to create 1 rle with old method : 0.05740237236022949 length of segment : 305 time for calcul the mask position with numpy : 0.0015544891357421875 nb_pixel_total : 61563 time to create 1 rle with old method : 0.09487581253051758 length of segment : 449 time for calcul the mask position with numpy : 0.002060413360595703 nb_pixel_total : 62261 time to create 1 rle with old method : 0.0705099105834961 length of segment : 253 time for calcul the mask position with numpy : 0.0004534721374511719 nb_pixel_total : 17495 time to create 1 rle with old method : 0.0202481746673584 length of segment : 129 time for calcul the mask position with numpy : 0.000640869140625 nb_pixel_total : 25174 time to create 1 rle with old method : 0.02881455421447754 length of segment : 219 time for calcul the mask position with numpy : 0.011327028274536133 nb_pixel_total : 95664 time to create 1 rle with old method : 0.1288597583770752 length of segment : 391 time for calcul the mask position with numpy : 0.015731096267700195 nb_pixel_total : 132763 time to create 1 rle with old method : 0.1496443748474121 length of segment : 681 time for calcul the mask position with numpy : 0.004853963851928711 nb_pixel_total : 108586 time to create 1 rle with old method : 0.1346452236175537 length of segment : 351 time for calcul the mask position with numpy : 0.0032958984375 nb_pixel_total : 132065 time to create 1 rle with old method : 0.14912986755371094 length of segment : 423 time for calcul the mask position with numpy : 0.021052122116088867 nb_pixel_total : 39006 time to create 1 rle with old method : 0.04977226257324219 length of segment : 187 time for calcul the mask position with numpy : 0.03171229362487793 nb_pixel_total : 196068 time to create 1 rle with new method : 0.014909029006958008 length of segment : 443 time for calcul the mask position with numpy : 0.01659870147705078 nb_pixel_total : 27072 time to create 1 rle with old method : 0.03812527656555176 length of segment : 354 time for calcul the mask position with numpy : 0.005437612533569336 nb_pixel_total : 51631 time to create 1 rle with old method : 0.09309577941894531 length of segment : 332 time for calcul the mask position with numpy : 0.01832747459411621 nb_pixel_total : 38515 time to create 1 rle with old method : 0.07476544380187988 length of segment : 174 time for calcul the mask position with numpy : 0.038091421127319336 nb_pixel_total : 70198 time to create 1 rle with old method : 0.11243820190429688 length of segment : 295 time for calcul the mask position with numpy : 0.001424551010131836 nb_pixel_total : 17799 time to create 1 rle with old method : 0.027916908264160156 length of segment : 144 time for calcul the mask position with numpy : 0.0022280216217041016 nb_pixel_total : 82459 time to create 1 rle with old method : 0.09934210777282715 length of segment : 485 time for calcul the mask position with numpy : 0.023093223571777344 nb_pixel_total : 133764 time to create 1 rle with old method : 0.15108084678649902 length of segment : 440 time for calcul the mask position with numpy : 0.005115509033203125 nb_pixel_total : 174370 time to create 1 rle with new method : 0.018844127655029297 length of segment : 508 time for calcul the mask position with numpy : 0.003781557083129883 nb_pixel_total : 59041 time to create 1 rle with old method : 0.06981325149536133 length of segment : 240 time for calcul the mask position with numpy : 0.004886627197265625 nb_pixel_total : 157135 time to create 1 rle with new method : 0.01571345329284668 length of segment : 680 time for calcul the mask position with numpy : 0.01342630386352539 nb_pixel_total : 503835 time to create 1 rle with new method : 0.03270840644836426 length of segment : 892 time for calcul the mask position with numpy : 0.004460334777832031 nb_pixel_total : 141725 time to create 1 rle with old method : 0.15865087509155273 length of segment : 560 time for calcul the mask position with numpy : 0.0010271072387695312 nb_pixel_total : 38615 time to create 1 rle with old method : 0.04361534118652344 length of segment : 216 time for calcul the mask position with numpy : 0.02118659019470215 nb_pixel_total : 127906 time to create 1 rle with old method : 0.17939114570617676 length of segment : 511 time for calcul the mask position with numpy : 0.008686304092407227 nb_pixel_total : 260962 time to create 1 rle with new method : 0.02356123924255371 length of segment : 783 time for calcul the mask position with numpy : 0.07480382919311523 nb_pixel_total : 176982 time to create 1 rle with new method : 0.014532327651977539 length of segment : 511 time for calcul the mask position with numpy : 0.016856908798217773 nb_pixel_total : 132487 time to create 1 rle with old method : 0.17546653747558594 length of segment : 576 time for calcul the mask position with numpy : 0.0027458667755126953 nb_pixel_total : 49035 time to create 1 rle with old method : 0.05585789680480957 length of segment : 357 time for calcul the mask position with numpy : 0.0583035945892334 nb_pixel_total : 603735 time to create 1 rle with new method : 0.0494999885559082 length of segment : 1338 time for calcul the mask position with numpy : 0.002754688262939453 nb_pixel_total : 108383 time to create 1 rle with old method : 0.12272071838378906 length of segment : 346 time for calcul the mask position with numpy : 0.010307550430297852 nb_pixel_total : 95687 time to create 1 rle with old method : 0.11320257186889648 length of segment : 380 time for calcul the mask position with numpy : 0.0012707710266113281 nb_pixel_total : 51640 time to create 1 rle with old method : 0.059808969497680664 length of segment : 201 time for calcul the mask position with numpy : 0.001827239990234375 nb_pixel_total : 22446 time to create 1 rle with old method : 0.027012109756469727 length of segment : 197 time for calcul the mask position with numpy : 0.027738571166992188 nb_pixel_total : 254097 time to create 1 rle with new method : 0.023953914642333984 length of segment : 1020 time for calcul the mask position with numpy : 0.03716921806335449 nb_pixel_total : 202700 time to create 1 rle with new method : 0.015169143676757812 length of segment : 638 time for calcul the mask position with numpy : 0.0012030601501464844 nb_pixel_total : 45665 time to create 1 rle with old method : 0.0515294075012207 length of segment : 354 time for calcul the mask position with numpy : 0.0035114288330078125 nb_pixel_total : 151274 time to create 1 rle with new method : 0.009918451309204102 length of segment : 682 time for calcul the mask position with numpy : 0.0018527507781982422 nb_pixel_total : 55732 time to create 1 rle with old method : 0.06368708610534668 length of segment : 318 time for calcul the mask position with numpy : 0.0011212825775146484 nb_pixel_total : 33643 time to create 1 rle with old method : 0.03955984115600586 length of segment : 297 time for calcul the mask position with numpy : 0.004353761672973633 nb_pixel_total : 76310 time to create 1 rle with old method : 0.08667445182800293 length of segment : 314 time for calcul the mask position with numpy : 0.9001567363739014 nb_pixel_total : 7500774 time to create 1 rle with new method : 0.5950016975402832 length of segment : 4885 time for calcul the mask position with numpy : 0.0013318061828613281 nb_pixel_total : 93771 time to create 1 rle with old method : 0.10500192642211914 length of segment : 551 time for calcul the mask position with numpy : 0.025109052658081055 nb_pixel_total : 1617114 time to create 1 rle with new method : 0.21510744094848633 length of segment : 2191 time for calcul the mask position with numpy : 0.0017306804656982422 nb_pixel_total : 112853 time to create 1 rle with old method : 0.12535476684570312 length of segment : 673 time for calcul the mask position with numpy : 0.0009329319000244141 nb_pixel_total : 79818 time to create 1 rle with old method : 0.0897223949432373 length of segment : 345 time for calcul the mask position with numpy : 0.0003540515899658203 nb_pixel_total : 23990 time to create 1 rle with old method : 0.027497291564941406 length of segment : 146 time for calcul the mask position with numpy : 0.0011970996856689453 nb_pixel_total : 80903 time to create 1 rle with old method : 0.09179472923278809 length of segment : 354 time for calcul the mask position with numpy : 0.0005660057067871094 nb_pixel_total : 36378 time to create 1 rle with old method : 0.04199528694152832 length of segment : 213 time for calcul the mask position with numpy : 0.00027441978454589844 nb_pixel_total : 18912 time to create 1 rle with old method : 0.021939516067504883 length of segment : 140 time spent for convertir_results : 236.70918560028076 Inside saveOutput : final : False verbose : 0 eke 12-6-18 : saveMask need to be cleaned for new output ! Number saved : None batch 1 Loaded 820 chid ids of type : 4854 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0 save missing photos in datou_result : time spend for datou_step_exec : 652.6054928302765 time spend to save output : 0.7455427646636963 total time spend for step 2 : 653.3510355949402 step3:blur_detection Tue Apr 1 01:54:39 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure inside step blur_detection methode: variance laplacian (4160, 3120) 4027.714805783272 (4160, 3120) 1918.3377626904119 (4160, 3120) 1985.0825711593025 (4160, 3120) 1835.237849097399 (4160, 3120) 2691.835295904119 (4160, 3120) 1809.8184838472719 (4160, 3120) 2593.3467291758866 (4160, 3120) 3653.850525508813 (4160, 3120) 2771.5442262948923 (4160, 3120) 544.8295066132688 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 : 10 time used for this insertion : 0.020951509475708008 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 10 time used for this insertion : 0.014899969100952148 save missing photos in datou_result : time spend for datou_step_exec : 4.113780975341797 time spend to save output : 0.04117393493652344 total time spend for step 3 : 4.15495491027832 step4:brightness Tue Apr 1 01:54:43 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure inside step calcul brightness treat image : temp/1743464489_2181210_1349034678_b37dfd776a688d1e43943ff479070a18.jpg treat image : temp/1743464489_2181210_1349034592_a4a437d23960c329b668dced9e069cb1.jpg treat image : temp/1743464489_2181210_1349034569_20c1e97a4cbe21372ff41e3a3b2c2eca.jpg treat image : temp/1743464489_2181210_1349034565_62937c840ad3718eb4f6c8fc036ff232.jpg treat image : temp/1743464489_2181210_1349034563_757972a0fb9599cd5dcfcddffa79cbe9.jpg treat image : temp/1743464489_2181210_1349034559_2c22428611b4fbf3a0eb5c316a4760c1.jpg treat image : temp/1743464489_2181210_1349034537_ba48f85c47918a9e72f6fccff11a0b68.jpg treat image : temp/1743464489_2181210_1349034371_18e8e46196592c5878f81d5832c607c5.jpg treat image : temp/1743464489_2181210_1349034367_5d650f5ac474fcaba6f115d15bc7a1f5.jpg treat image : temp/1743464489_2181210_1349034362_8aaf65afc41d1b080a65cfeb894b28e7.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 : 10 time used for this insertion : 0.013556241989135742 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 10 time used for this insertion : 0.013574361801147461 save missing photos in datou_result : time spend for datou_step_exec : 15.128242015838623 time spend to save output : 0.03166699409484863 total time spend for step 4 : 15.159909009933472 step5:rle_unique_nms_with_priority Tue Apr 1 01:54:58 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array VR 22-3-18 : For now we do not clean correctly the datou structure Begin step rle-unique-nms batch 1 Loaded 820 chid ids of type : 4854 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++nb_obj : 85 nb_hashtags : 10 time to prepare the origin masks : 74.60101819038391 time for calcul the mask position with numpy : 0.317643404006958 nb_pixel_total : 3734755 time to create 1 rle with new method : 0.903925895690918 time for calcul the mask position with numpy : 0.05508852005004883 nb_pixel_total : 38449 time to create 1 rle with old method : 0.04496335983276367 time for calcul the mask position with numpy : 0.05451083183288574 nb_pixel_total : 55632 time to create 1 rle with old method : 0.06197309494018555 time for calcul the mask position with numpy : 0.05438828468322754 nb_pixel_total : 19786 time to create 1 rle with old method : 0.021472692489624023 time for calcul the mask position with numpy : 0.05215883255004883 nb_pixel_total : 17800 time to create 1 rle with old method : 0.01948714256286621 time for calcul the mask position with numpy : 0.052788734436035156 nb_pixel_total : 63587 time to create 1 rle with old method : 0.07079815864562988 time for calcul the mask position with numpy : 0.05714130401611328 nb_pixel_total : 197447 time to create 1 rle with new method : 1.183896541595459 time for calcul the mask position with numpy : 0.05426836013793945 nb_pixel_total : 48637 time to create 1 rle with old method : 0.0547947883605957 time for calcul the mask position with numpy : 0.05538010597229004 nb_pixel_total : 30440 time to create 1 rle with old method : 0.03439450263977051 time for calcul the mask position with numpy : 0.05516648292541504 nb_pixel_total : 112889 time to create 1 rle with old method : 0.12686538696289062 time for calcul the mask position with numpy : 0.05486249923706055 nb_pixel_total : 228885 time to create 1 rle with new method : 0.8562312126159668 time for calcul the mask position with numpy : 0.054016828536987305 nb_pixel_total : 67319 time to create 1 rle with old method : 0.07784485816955566 time for calcul the mask position with numpy : 0.05776500701904297 nb_pixel_total : 233593 time to create 1 rle with new method : 1.0692272186279297 time for calcul the mask position with numpy : 0.05591154098510742 nb_pixel_total : 17510 time to create 1 rle with old method : 0.020235538482666016 time for calcul the mask position with numpy : 0.059276580810546875 nb_pixel_total : 356918 time to create 1 rle with new method : 0.8645412921905518 time for calcul the mask position with numpy : 0.0586245059967041 nb_pixel_total : 51913 time to create 1 rle with old method : 0.05716061592102051 time for calcul the mask position with numpy : 0.0559689998626709 nb_pixel_total : 164155 time to create 1 rle with new method : 0.8738088607788086 time for calcul the mask position with numpy : 0.05434608459472656 nb_pixel_total : 66682 time to create 1 rle with old method : 0.07366299629211426 time for calcul the mask position with numpy : 0.054935455322265625 nb_pixel_total : 57037 time to create 1 rle with old method : 0.06340193748474121 time for calcul the mask position with numpy : 0.05519986152648926 nb_pixel_total : 5328 time to create 1 rle with old method : 0.009569883346557617 time for calcul the mask position with numpy : 0.0608217716217041 nb_pixel_total : 355296 time to create 1 rle with new method : 0.8516855239868164 time for calcul the mask position with numpy : 0.059786081314086914 nb_pixel_total : 369097 time to create 1 rle with new method : 1.0312752723693848 time for calcul the mask position with numpy : 0.05617666244506836 nb_pixel_total : 9979 time to create 1 rle with old method : 0.012982845306396484 time for calcul the mask position with numpy : 0.055023908615112305 nb_pixel_total : 69025 time to create 1 rle with old method : 0.08062481880187988 time for calcul the mask position with numpy : 0.05511975288391113 nb_pixel_total : 135666 time to create 1 rle with old method : 0.15399765968322754 time for calcul the mask position with numpy : 0.06164860725402832 nb_pixel_total : 200618 time to create 1 rle with new method : 1.4255216121673584 time for calcul the mask position with numpy : 0.0607302188873291 nb_pixel_total : 21212 time to create 1 rle with old method : 0.026008129119873047 time for calcul the mask position with numpy : 0.05924105644226074 nb_pixel_total : 97036 time to create 1 rle with old method : 0.11144042015075684 time for calcul the mask position with numpy : 0.056894540786743164 nb_pixel_total : 49167 time to create 1 rle with old method : 0.05567765235900879 time for calcul the mask position with numpy : 0.05595684051513672 nb_pixel_total : 1182 time to create 1 rle with old method : 0.001789093017578125 time for calcul the mask position with numpy : 0.06167435646057129 nb_pixel_total : 335202 time to create 1 rle with new method : 0.8994536399841309 time for calcul the mask position with numpy : 0.05632901191711426 nb_pixel_total : 35397 time to create 1 rle with old method : 0.1586613655090332 time for calcul the mask position with numpy : 0.05469799041748047 nb_pixel_total : 77950 time to create 1 rle with old method : 0.09148883819580078 time for calcul the mask position with numpy : 0.05459785461425781 nb_pixel_total : 107584 time to create 1 rle with old method : 0.12215828895568848 time for calcul the mask position with numpy : 0.05594038963317871 nb_pixel_total : 2297 time to create 1 rle with old method : 0.002733469009399414 time for calcul the mask position with numpy : 0.05802011489868164 nb_pixel_total : 390158 time to create 1 rle with new method : 0.9944112300872803 time for calcul the mask position with numpy : 0.05487561225891113 nb_pixel_total : 34515 time to create 1 rle with old method : 0.0382227897644043 time for calcul the mask position with numpy : 0.05459094047546387 nb_pixel_total : 78298 time to create 1 rle with old method : 0.08696961402893066 time for calcul the mask position with numpy : 0.055059194564819336 nb_pixel_total : 2796 time to create 1 rle with old method : 0.003662109375 time for calcul the mask position with numpy : 0.05633187294006348 nb_pixel_total : 288940 time to create 1 rle with new method : 1.1536891460418701 time for calcul the mask position with numpy : 0.05469989776611328 nb_pixel_total : 132396 time to create 1 rle with old method : 0.14823579788208008 time for calcul the mask position with numpy : 0.05383634567260742 nb_pixel_total : 133510 time to create 1 rle with old method : 0.1476736068725586 time for calcul the mask position with numpy : 0.05394625663757324 nb_pixel_total : 102023 time to create 1 rle with old method : 0.11073660850524902 time for calcul the mask position with numpy : 0.053993940353393555 nb_pixel_total : 7139 time to create 1 rle with old method : 0.00830841064453125 time for calcul the mask position with numpy : 0.055407047271728516 nb_pixel_total : 128011 time to create 1 rle with old method : 0.14563846588134766 time for calcul the mask position with numpy : 0.053987979888916016 nb_pixel_total : 10222 time to create 1 rle with old method : 0.011697769165039062 time for calcul the mask position with numpy : 0.05771183967590332 nb_pixel_total : 31370 time to create 1 rle with old method : 0.034813642501831055 time for calcul the mask position with numpy : 0.05358076095581055 nb_pixel_total : 352 time to create 1 rle with old method : 0.0006844997406005859 time for calcul the mask position with numpy : 0.057665109634399414 nb_pixel_total : 49414 time to create 1 rle with old method : 0.0546112060546875 time for calcul the mask position with numpy : 0.05220627784729004 nb_pixel_total : 24347 time to create 1 rle with old method : 0.029435157775878906 time for calcul the mask position with numpy : 0.05260467529296875 nb_pixel_total : 46 time to create 1 rle with old method : 0.00030517578125 time for calcul the mask position with numpy : 0.05358123779296875 nb_pixel_total : 29718 time to create 1 rle with old method : 0.03348541259765625 time for calcul the mask position with numpy : 0.05456399917602539 nb_pixel_total : 79222 time to create 1 rle with old method : 0.08690714836120605 time for calcul the mask position with numpy : 0.06149721145629883 nb_pixel_total : 142285 time to create 1 rle with old method : 0.1619565486907959 time for calcul the mask position with numpy : 0.05449318885803223 nb_pixel_total : 205110 time to create 1 rle with new method : 1.2421250343322754 time for calcul the mask position with numpy : 0.05373024940490723 nb_pixel_total : 2344 time to create 1 rle with old method : 0.0031125545501708984 time for calcul the mask position with numpy : 0.06427335739135742 nb_pixel_total : 657256 time to create 1 rle with new method : 0.7662241458892822 time for calcul the mask position with numpy : 0.05366206169128418 nb_pixel_total : 17480 time to create 1 rle with old method : 0.01952528953552246 time for calcul the mask position with numpy : 0.05444955825805664 nb_pixel_total : 3543 time to create 1 rle with old method : 0.006386518478393555 time for calcul the mask position with numpy : 0.06156206130981445 nb_pixel_total : 60986 time to create 1 rle with old method : 0.06883502006530762 time for calcul the mask position with numpy : 0.05395245552062988 nb_pixel_total : 43323 time to create 1 rle with old method : 0.06221437454223633 time for calcul the mask position with numpy : 0.06135153770446777 nb_pixel_total : 173629 time to create 1 rle with new method : 1.0254361629486084 time for calcul the mask position with numpy : 0.05517888069152832 nb_pixel_total : 193932 time to create 1 rle with new method : 1.356818675994873 time for calcul the mask position with numpy : 0.05831193923950195 nb_pixel_total : 340968 time to create 1 rle with new method : 1.3062424659729004 time for calcul the mask position with numpy : 0.05526590347290039 nb_pixel_total : 515 time to create 1 rle with old method : 0.0009126663208007812 time for calcul the mask position with numpy : 0.05678844451904297 nb_pixel_total : 192227 time to create 1 rle with new method : 2.768531084060669 time for calcul the mask position with numpy : 0.052176713943481445 nb_pixel_total : 37984 time to create 1 rle with old method : 0.04064226150512695 time for calcul the mask position with numpy : 0.0509645938873291 nb_pixel_total : 127740 time to create 1 rle with old method : 0.13669824600219727 time for calcul the mask position with numpy : 0.053220272064208984 nb_pixel_total : 173840 time to create 1 rle with new method : 1.2401018142700195 time for calcul the mask position with numpy : 0.05290079116821289 nb_pixel_total : 54220 time to create 1 rle with old method : 0.06040072441101074 time for calcul the mask position with numpy : 0.05363965034484863 nb_pixel_total : 220687 time to create 1 rle with new method : 0.9148809909820557 time for calcul the mask position with numpy : 0.05312776565551758 nb_pixel_total : 5343 time to create 1 rle with old method : 0.0059490203857421875 time for calcul the mask position with numpy : 0.053493499755859375 nb_pixel_total : 109462 time to create 1 rle with old method : 0.12022662162780762 time for calcul the mask position with numpy : 0.05364537239074707 nb_pixel_total : 69947 time to create 1 rle with old method : 0.10309100151062012 time for calcul the mask position with numpy : 0.053151845932006836 nb_pixel_total : 105270 time to create 1 rle with old method : 0.11483883857727051 time for calcul the mask position with numpy : 0.05308723449707031 nb_pixel_total : 38847 time to create 1 rle with old method : 0.0429842472076416 time for calcul the mask position with numpy : 0.05345892906188965 nb_pixel_total : 276973 time to create 1 rle with new method : 0.8203220367431641 time for calcul the mask position with numpy : 0.053131103515625 nb_pixel_total : 574 time to create 1 rle with old method : 0.0008757114410400391 time for calcul the mask position with numpy : 0.05283021926879883 nb_pixel_total : 103981 time to create 1 rle with old method : 0.11388635635375977 time for calcul the mask position with numpy : 0.05342984199523926 nb_pixel_total : 20480 time to create 1 rle with old method : 0.023132801055908203 time for calcul the mask position with numpy : 0.05342364311218262 nb_pixel_total : 4976 time to create 1 rle with old method : 0.00617671012878418 time for calcul the mask position with numpy : 0.0541071891784668 nb_pixel_total : 132938 time to create 1 rle with old method : 0.14563584327697754 time for calcul the mask position with numpy : 0.05338168144226074 nb_pixel_total : 70821 time to create 1 rle with old method : 0.07767653465270996 time for calcul the mask position with numpy : 0.05390810966491699 nb_pixel_total : 103805 time to create 1 rle with old method : 0.11232852935791016 time for calcul the mask position with numpy : 0.05180525779724121 nb_pixel_total : 222757 time to create 1 rle with new method : 1.0567853450775146 time for calcul the mask position with numpy : 0.052587032318115234 nb_pixel_total : 107010 time to create 1 rle with old method : 0.11386728286743164 create new chi : 34.712488651275635 time to delete rle : 0.01960611343383789 batch 1 Loaded 86 chid ids of type : 4855 Number RLEs to save : 63848 TO DO : save crop sub photo not yet done ! save time : 9.535028219223022 nb_obj : 77 nb_hashtags : 10 time to prepare the origin masks : 66.71903204917908 time for calcul the mask position with numpy : 0.49703454971313477 nb_pixel_total : 4370161 time to create 1 rle with new method : 1.503291130065918 time for calcul the mask position with numpy : 0.05814528465270996 nb_pixel_total : 218801 time to create 1 rle with new method : 1.5687017440795898 time for calcul the mask position with numpy : 0.06269192695617676 nb_pixel_total : 128064 time to create 1 rle with old method : 0.14226865768432617 time for calcul the mask position with numpy : 0.05539369583129883 nb_pixel_total : 110097 time to create 1 rle with old method : 0.12274694442749023 time for calcul the mask position with numpy : 0.05556631088256836 nb_pixel_total : 106915 time to create 1 rle with old method : 0.13193964958190918 time for calcul the mask position with numpy : 0.05535316467285156 nb_pixel_total : 26743 time to create 1 rle with old method : 0.030046701431274414 time for calcul the mask position with numpy : 0.05666685104370117 nb_pixel_total : 58139 time to create 1 rle with old method : 0.06612253189086914 time for calcul the mask position with numpy : 0.057916879653930664 nb_pixel_total : 190788 time to create 1 rle with new method : 1.2058207988739014 time for calcul the mask position with numpy : 0.17165303230285645 nb_pixel_total : 484758 time to create 1 rle with new method : 0.789172887802124 time for calcul the mask position with numpy : 0.05422711372375488 nb_pixel_total : 16655 time to create 1 rle with old method : 0.01852273941040039 time for calcul the mask position with numpy : 0.054821014404296875 nb_pixel_total : 20616 time to create 1 rle with old method : 0.02446770668029785 time for calcul the mask position with numpy : 0.058068275451660156 nb_pixel_total : 31952 time to create 1 rle with old method : 0.03573489189147949 time for calcul the mask position with numpy : 0.054531097412109375 nb_pixel_total : 27094 time to create 1 rle with old method : 0.03027963638305664 time for calcul the mask position with numpy : 0.05546760559082031 nb_pixel_total : 164355 time to create 1 rle with new method : 1.2012884616851807 time for calcul the mask position with numpy : 0.05362582206726074 nb_pixel_total : 333 time to create 1 rle with old method : 0.0006661415100097656 time for calcul the mask position with numpy : 0.05898427963256836 nb_pixel_total : 10745 time to create 1 rle with old method : 0.0133209228515625 time for calcul the mask position with numpy : 0.053940534591674805 nb_pixel_total : 34623 time to create 1 rle with old method : 0.038652896881103516 time for calcul the mask position with numpy : 0.054271697998046875 nb_pixel_total : 74703 time to create 1 rle with old method : 0.08322644233703613 time for calcul the mask position with numpy : 0.05369997024536133 nb_pixel_total : 18272 time to create 1 rle with old method : 0.019672393798828125 time for calcul the mask position with numpy : 0.05304312705993652 nb_pixel_total : 4095 time to create 1 rle with old method : 0.005170106887817383 time for calcul the mask position with numpy : 0.05724143981933594 nb_pixel_total : 303776 time to create 1 rle with new method : 0.7845571041107178 time for calcul the mask position with numpy : 0.05248570442199707 nb_pixel_total : 2407 time to create 1 rle with old method : 0.0030333995819091797 time for calcul the mask position with numpy : 0.05320930480957031 nb_pixel_total : 49831 time to create 1 rle with old method : 0.05486297607421875 time for calcul the mask position with numpy : 0.05597090721130371 nb_pixel_total : 239784 time to create 1 rle with new method : 0.8714032173156738 time for calcul the mask position with numpy : 0.05318307876586914 nb_pixel_total : 100777 time to create 1 rle with old method : 0.1100006103515625 time for calcul the mask position with numpy : 0.052027225494384766 nb_pixel_total : 1670 time to create 1 rle with old method : 0.002207040786743164 time for calcul the mask position with numpy : 0.05254077911376953 nb_pixel_total : 23809 time to create 1 rle with old method : 0.026413917541503906 time for calcul the mask position with numpy : 0.05370354652404785 nb_pixel_total : 77133 time to create 1 rle with old method : 0.08307456970214844 time for calcul the mask position with numpy : 0.05265617370605469 nb_pixel_total : 2621 time to create 1 rle with old method : 0.0031690597534179688 time for calcul the mask position with numpy : 0.05398964881896973 nb_pixel_total : 65123 time to create 1 rle with old method : 0.07119584083557129 time for calcul the mask position with numpy : 0.05347800254821777 nb_pixel_total : 26926 time to create 1 rle with old method : 0.02972722053527832 time for calcul the mask position with numpy : 0.05344581604003906 nb_pixel_total : 22324 time to create 1 rle with old method : 0.024802684783935547 time for calcul the mask position with numpy : 0.05367469787597656 nb_pixel_total : 77040 time to create 1 rle with old method : 0.08345222473144531 time for calcul the mask position with numpy : 0.0532679557800293 nb_pixel_total : 59511 time to create 1 rle with old method : 0.06576824188232422 time for calcul the mask position with numpy : 0.05811619758605957 nb_pixel_total : 433644 time to create 1 rle with new method : 1.1498289108276367 time for calcul the mask position with numpy : 0.05762600898742676 nb_pixel_total : 150415 time to create 1 rle with new method : 1.0171709060668945 time for calcul the mask position with numpy : 0.054464101791381836 nb_pixel_total : 3815 time to create 1 rle with old method : 0.004560708999633789 time for calcul the mask position with numpy : 0.054804086685180664 nb_pixel_total : 38552 time to create 1 rle with old method : 0.0428156852722168 time for calcul the mask position with numpy : 0.05601382255554199 nb_pixel_total : 32182 time to create 1 rle with old method : 0.04546308517456055 time for calcul the mask position with numpy : 0.061092376708984375 nb_pixel_total : 21242 time to create 1 rle with old method : 0.02417922019958496 time for calcul the mask position with numpy : 0.05996966361999512 nb_pixel_total : 134428 time to create 1 rle with old method : 0.15353155136108398 time for calcul the mask position with numpy : 0.05564761161804199 nb_pixel_total : 5853 time to create 1 rle with old method : 0.010164737701416016 time for calcul the mask position with numpy : 0.06192445755004883 nb_pixel_total : 329067 time to create 1 rle with new method : 1.00323486328125 time for calcul the mask position with numpy : 0.05748105049133301 nb_pixel_total : 122799 time to create 1 rle with old method : 0.14023041725158691 time for calcul the mask position with numpy : 0.05589127540588379 nb_pixel_total : 210040 time to create 1 rle with new method : 0.8726305961608887 time for calcul the mask position with numpy : 0.060384273529052734 nb_pixel_total : 364060 time to create 1 rle with new method : 1.1860229969024658 time for calcul the mask position with numpy : 0.05524706840515137 nb_pixel_total : 40933 time to create 1 rle with old method : 0.04598546028137207 time for calcul the mask position with numpy : 0.05639505386352539 nb_pixel_total : 57814 time to create 1 rle with old method : 0.06587076187133789 time for calcul the mask position with numpy : 0.05490279197692871 nb_pixel_total : 165265 time to create 1 rle with new method : 0.7838506698608398 time for calcul the mask position with numpy : 0.05883908271789551 nb_pixel_total : 108016 time to create 1 rle with old method : 0.12587904930114746 time for calcul the mask position with numpy : 0.05422544479370117 nb_pixel_total : 1513 time to create 1 rle with old method : 0.002344846725463867 time for calcul the mask position with numpy : 0.05513167381286621 nb_pixel_total : 76077 time to create 1 rle with old method : 0.08400917053222656 time for calcul the mask position with numpy : 0.05642962455749512 nb_pixel_total : 151694 time to create 1 rle with new method : 0.9559564590454102 time for calcul the mask position with numpy : 0.06233406066894531 nb_pixel_total : 80648 time to create 1 rle with old method : 0.18543004989624023 time for calcul the mask position with numpy : 0.07453441619873047 nb_pixel_total : 186186 time to create 1 rle with new method : 1.0830669403076172 time for calcul the mask position with numpy : 0.05937075614929199 nb_pixel_total : 10417 time to create 1 rle with old method : 0.011651992797851562 time for calcul the mask position with numpy : 0.05879664421081543 nb_pixel_total : 375060 time to create 1 rle with new method : 0.9038054943084717 time for calcul the mask position with numpy : 0.060898780822753906 nb_pixel_total : 41227 time to create 1 rle with old method : 0.047193288803100586 time for calcul the mask position with numpy : 0.05617547035217285 nb_pixel_total : 107009 time to create 1 rle with old method : 0.12303590774536133 time for calcul the mask position with numpy : 0.05457139015197754 nb_pixel_total : 46289 time to create 1 rle with old method : 0.05137777328491211 time for calcul the mask position with numpy : 0.06178855895996094 nb_pixel_total : 655605 time to create 1 rle with new method : 0.7496066093444824 time for calcul the mask position with numpy : 0.06034207344055176 nb_pixel_total : 637114 time to create 1 rle with new method : 0.8771610260009766 time for calcul the mask position with numpy : 0.0566859245300293 nb_pixel_total : 58 time to create 1 rle with old method : 0.0001366138458251953 time for calcul the mask position with numpy : 0.05428361892700195 nb_pixel_total : 13527 time to create 1 rle with old method : 0.015775680541992188 time for calcul the mask position with numpy : 0.05381941795349121 nb_pixel_total : 37210 time to create 1 rle with old method : 0.04113483428955078 time for calcul the mask position with numpy : 0.053872108459472656 nb_pixel_total : 37509 time to create 1 rle with old method : 0.04181623458862305 time for calcul the mask position with numpy : 0.05712723731994629 nb_pixel_total : 11154 time to create 1 rle with old method : 0.017327308654785156 time for calcul the mask position with numpy : 0.06093716621398926 nb_pixel_total : 42356 time to create 1 rle with old method : 0.04711270332336426 time for calcul the mask position with numpy : 0.05547451972961426 nb_pixel_total : 233713 time to create 1 rle with new method : 0.7975606918334961 time for calcul the mask position with numpy : 0.053891897201538086 nb_pixel_total : 4186 time to create 1 rle with old method : 0.004870414733886719 time for calcul the mask position with numpy : 0.05384945869445801 nb_pixel_total : 12255 time to create 1 rle with old method : 0.013957738876342773 time for calcul the mask position with numpy : 0.055373191833496094 nb_pixel_total : 205325 time to create 1 rle with new method : 0.744610071182251 time for calcul the mask position with numpy : 0.05619192123413086 nb_pixel_total : 260613 time to create 1 rle with new method : 0.6320223808288574 time for calcul the mask position with numpy : 0.055701494216918945 nb_pixel_total : 168791 time to create 1 rle with new method : 0.7504236698150635 time for calcul the mask position with numpy : 0.05900311470031738 nb_pixel_total : 9645 time to create 1 rle with old method : 0.011180400848388672 time for calcul the mask position with numpy : 0.05544304847717285 nb_pixel_total : 73599 time to create 1 rle with old method : 0.08765006065368652 time for calcul the mask position with numpy : 0.05435919761657715 nb_pixel_total : 94244 time to create 1 rle with old method : 0.10396122932434082 time for calcul the mask position with numpy : 0.05552315711975098 nb_pixel_total : 37410 time to create 1 rle with old method : 0.04112577438354492 create new chi : 30.37077522277832 time to delete rle : 0.007772922515869141 batch 1 Loaded 78 chid ids of type : 4855 Number RLEs to save : 60456 TO DO : save crop sub photo not yet done ! save time : 10.709409952163696 nb_obj : 82 nb_hashtags : 10 time to prepare the origin masks : 78.8968071937561 time for calcul the mask position with numpy : 0.684873104095459 nb_pixel_total : 2567085 time to create 1 rle with new method : 2.3942720890045166 time for calcul the mask position with numpy : 0.05520510673522949 nb_pixel_total : 2368 time to create 1 rle with old method : 0.0028839111328125 time for calcul the mask position with numpy : 0.05560874938964844 nb_pixel_total : 22937 time to create 1 rle with old method : 0.030766010284423828 time for calcul the mask position with numpy : 0.061190128326416016 nb_pixel_total : 167705 time to create 1 rle with new method : 3.275083541870117 time for calcul the mask position with numpy : 0.057053565979003906 nb_pixel_total : 26927 time to create 1 rle with old method : 0.031893014907836914 time for calcul the mask position with numpy : 0.05522036552429199 nb_pixel_total : 41873 time to create 1 rle with old method : 0.05426478385925293 time for calcul the mask position with numpy : 0.0573573112487793 nb_pixel_total : 19227 time to create 1 rle with old method : 0.024445772171020508 time for calcul the mask position with numpy : 0.05805087089538574 nb_pixel_total : 90279 time to create 1 rle with old method : 0.1241297721862793 time for calcul the mask position with numpy : 0.057027339935302734 nb_pixel_total : 53 time to create 1 rle with old method : 0.0005192756652832031 time for calcul the mask position with numpy : 0.06076765060424805 nb_pixel_total : 29345 time to create 1 rle with old method : 0.03441977500915527 time for calcul the mask position with numpy : 0.054383039474487305 nb_pixel_total : 13334 time to create 1 rle with old method : 0.01513981819152832 time for calcul the mask position with numpy : 0.05371356010437012 nb_pixel_total : 259 time to create 1 rle with old method : 0.00046133995056152344 time for calcul the mask position with numpy : 0.08826065063476562 nb_pixel_total : 979762 time to create 1 rle with new method : 1.4895482063293457 time for calcul the mask position with numpy : 0.05917072296142578 nb_pixel_total : 72308 time to create 1 rle with old method : 0.08150243759155273 time for calcul the mask position with numpy : 0.06054997444152832 nb_pixel_total : 141 time to create 1 rle with old method : 0.0006072521209716797 time for calcul the mask position with numpy : 0.05612349510192871 nb_pixel_total : 159978 time to create 1 rle with new method : 2.3218536376953125 time for calcul the mask position with numpy : 0.05762529373168945 nb_pixel_total : 1054 time to create 1 rle with old method : 0.0017962455749511719 time for calcul the mask position with numpy : 0.05752420425415039 nb_pixel_total : 135475 time to create 1 rle with old method : 0.16214680671691895 time for calcul the mask position with numpy : 0.06109023094177246 nb_pixel_total : 69326 time to create 1 rle with old method : 0.08825492858886719 time for calcul the mask position with numpy : 0.05506300926208496 nb_pixel_total : 28975 time to create 1 rle with old method : 0.03503775596618652 time for calcul the mask position with numpy : 0.054489850997924805 nb_pixel_total : 10379 time to create 1 rle with old method : 0.012238740921020508 time for calcul the mask position with numpy : 0.05579781532287598 nb_pixel_total : 161902 time to create 1 rle with new method : 1.679319143295288 time for calcul the mask position with numpy : 0.057158470153808594 nb_pixel_total : 295669 time to create 1 rle with new method : 1.0220811367034912 time for calcul the mask position with numpy : 0.05357003211975098 nb_pixel_total : 7030 time to create 1 rle with old method : 0.008088111877441406 time for calcul the mask position with numpy : 0.053975582122802734 nb_pixel_total : 42694 time to create 1 rle with old method : 0.047142744064331055 time for calcul the mask position with numpy : 0.05370974540710449 nb_pixel_total : 4820 time to create 1 rle with old method : 0.0056149959564208984 time for calcul the mask position with numpy : 0.05484175682067871 nb_pixel_total : 50235 time to create 1 rle with old method : 0.05590343475341797 time for calcul the mask position with numpy : 0.05526471138000488 nb_pixel_total : 114471 time to create 1 rle with old method : 0.1297135353088379 time for calcul the mask position with numpy : 0.06112813949584961 nb_pixel_total : 137473 time to create 1 rle with old method : 0.15746521949768066 time for calcul the mask position with numpy : 0.054779767990112305 nb_pixel_total : 65775 time to create 1 rle with old method : 0.0742037296295166 time for calcul the mask position with numpy : 0.05731487274169922 nb_pixel_total : 237177 time to create 1 rle with new method : 3.250383138656616 time for calcul the mask position with numpy : 0.054715633392333984 nb_pixel_total : 59397 time to create 1 rle with old method : 0.06889224052429199 time for calcul the mask position with numpy : 0.057634592056274414 nb_pixel_total : 80475 time to create 1 rle with old method : 0.09476137161254883 time for calcul the mask position with numpy : 0.060134172439575195 nb_pixel_total : 112675 time to create 1 rle with old method : 0.1293628215789795 time for calcul the mask position with numpy : 0.05423903465270996 nb_pixel_total : 44771 time to create 1 rle with old method : 0.051320552825927734 time for calcul the mask position with numpy : 0.05398416519165039 nb_pixel_total : 11692 time to create 1 rle with old method : 0.013671398162841797 time for calcul the mask position with numpy : 0.0599827766418457 nb_pixel_total : 469409 time to create 1 rle with new method : 1.4501118659973145 time for calcul the mask position with numpy : 0.06733965873718262 nb_pixel_total : 53193 time to create 1 rle with old method : 0.0940101146697998 time for calcul the mask position with numpy : 0.0655827522277832 nb_pixel_total : 43443 time to create 1 rle with old method : 0.07064628601074219 time for calcul the mask position with numpy : 0.06805920600891113 nb_pixel_total : 26556 time to create 1 rle with old method : 0.050389766693115234 time for calcul the mask position with numpy : 0.06579399108886719 nb_pixel_total : 1099 time to create 1 rle with old method : 0.0020394325256347656 time for calcul the mask position with numpy : 0.07806682586669922 nb_pixel_total : 210970 time to create 1 rle with new method : 3.4985878467559814 time for calcul the mask position with numpy : 0.05830502510070801 nb_pixel_total : 455995 time to create 1 rle with new method : 1.8422439098358154 time for calcul the mask position with numpy : 0.06452345848083496 nb_pixel_total : 72943 time to create 1 rle with old method : 0.08502697944641113 time for calcul the mask position with numpy : 0.055938005447387695 nb_pixel_total : 20516 time to create 1 rle with old method : 0.02300238609313965 time for calcul the mask position with numpy : 0.0602569580078125 nb_pixel_total : 564743 time to create 1 rle with new method : 2.879009962081909 time for calcul the mask position with numpy : 0.055553436279296875 nb_pixel_total : 238830 time to create 1 rle with new method : 2.4327049255371094 time for calcul the mask position with numpy : 0.06180167198181152 nb_pixel_total : 10423 time to create 1 rle with old method : 0.014937639236450195 time for calcul the mask position with numpy : 0.054155588150024414 nb_pixel_total : 61476 time to create 1 rle with old method : 0.07284784317016602 time for calcul the mask position with numpy : 0.05466175079345703 nb_pixel_total : 87934 time to create 1 rle with old method : 0.09909796714782715 time for calcul the mask position with numpy : 0.053664207458496094 nb_pixel_total : 3462 time to create 1 rle with old method : 0.004055023193359375 time for calcul the mask position with numpy : 0.0547938346862793 nb_pixel_total : 104005 time to create 1 rle with old method : 0.1321394443511963 time for calcul the mask position with numpy : 0.05925154685974121 nb_pixel_total : 289401 time to create 1 rle with new method : 1.7597930431365967 time for calcul the mask position with numpy : 0.07100105285644531 nb_pixel_total : 26225 time to create 1 rle with old method : 0.029460430145263672 time for calcul the mask position with numpy : 0.057639360427856445 nb_pixel_total : 24507 time to create 1 rle with old method : 0.027379751205444336 time for calcul the mask position with numpy : 0.054137229919433594 nb_pixel_total : 41412 time to create 1 rle with old method : 0.046759605407714844 time for calcul the mask position with numpy : 0.06290221214294434 nb_pixel_total : 876979 time to create 1 rle with new method : 1.690215826034546 time for calcul the mask position with numpy : 0.07117462158203125 nb_pixel_total : 1321817 time to create 1 rle with new method : 2.167574882507324 time for calcul the mask position with numpy : 0.05380678176879883 nb_pixel_total : 81421 time to create 1 rle with old method : 0.09022808074951172 time for calcul the mask position with numpy : 0.05384016036987305 nb_pixel_total : 66116 time to create 1 rle with old method : 0.07462191581726074 time for calcul the mask position with numpy : 0.055577993392944336 nb_pixel_total : 81389 time to create 1 rle with old method : 0.1099083423614502 time for calcul the mask position with numpy : 0.05476069450378418 nb_pixel_total : 109633 time to create 1 rle with old method : 0.1249701976776123 time for calcul the mask position with numpy : 0.05335688591003418 nb_pixel_total : 10693 time to create 1 rle with old method : 0.012022972106933594 time for calcul the mask position with numpy : 0.05356001853942871 nb_pixel_total : 27150 time to create 1 rle with old method : 0.030709266662597656 time for calcul the mask position with numpy : 0.05649161338806152 nb_pixel_total : 319498 time to create 1 rle with new method : 1.623964548110962 time for calcul the mask position with numpy : 0.053711891174316406 nb_pixel_total : 14428 time to create 1 rle with old method : 0.0191192626953125 time for calcul the mask position with numpy : 0.06030893325805664 nb_pixel_total : 148844 time to create 1 rle with old method : 0.193711519241333 time for calcul the mask position with numpy : 0.060500144958496094 nb_pixel_total : 24342 time to create 1 rle with old method : 0.03467917442321777 time for calcul the mask position with numpy : 0.06049013137817383 nb_pixel_total : 9116 time to create 1 rle with old method : 0.012139081954956055 time for calcul the mask position with numpy : 0.06435847282409668 nb_pixel_total : 37948 time to create 1 rle with old method : 0.04496932029724121 time for calcul the mask position with numpy : 0.05475449562072754 nb_pixel_total : 25527 time to create 1 rle with old method : 0.028557300567626953 time for calcul the mask position with numpy : 0.05484271049499512 nb_pixel_total : 29024 time to create 1 rle with old method : 0.03224921226501465 time for calcul the mask position with numpy : 0.056166648864746094 nb_pixel_total : 177954 time to create 1 rle with new method : 1.732917070388794 time for calcul the mask position with numpy : 0.05671286582946777 nb_pixel_total : 91822 time to create 1 rle with old method : 0.10673356056213379 time for calcul the mask position with numpy : 0.06463932991027832 nb_pixel_total : 35776 time to create 1 rle with old method : 0.039810895919799805 time for calcul the mask position with numpy : 0.05455327033996582 nb_pixel_total : 133810 time to create 1 rle with old method : 0.15287494659423828 time for calcul the mask position with numpy : 0.05595231056213379 nb_pixel_total : 224297 time to create 1 rle with new method : 1.64418363571167 time for calcul the mask position with numpy : 0.05523681640625 nb_pixel_total : 156885 time to create 1 rle with new method : 2.053321123123169 time for calcul the mask position with numpy : 0.05480241775512695 nb_pixel_total : 104669 time to create 1 rle with old method : 0.1358346939086914 time for calcul the mask position with numpy : 0.058795928955078125 nb_pixel_total : 35476 time to create 1 rle with old method : 0.041059255599975586 time for calcul the mask position with numpy : 0.0541989803314209 nb_pixel_total : 75027 time to create 1 rle with old method : 0.08317947387695312 time for calcul the mask position with numpy : 0.05628776550292969 nb_pixel_total : 29846 time to create 1 rle with old method : 0.034307241439819336 time for calcul the mask position with numpy : 0.053803205490112305 nb_pixel_total : 58125 time to create 1 rle with old method : 0.07813096046447754 create new chi : 50.48407602310181 time to delete rle : 0.013166427612304688 batch 1 Loaded 83 chid ids of type : 4855 Number RLEs to save : 67111 TO DO : save crop sub photo not yet done ! save time : 10.638352632522583 nb_obj : 96 nb_hashtags : 10 time to prepare the origin masks : 85.44499564170837 time for calcul the mask position with numpy : 0.5791046619415283 nb_pixel_total : 3449692 time to create 1 rle with new method : 1.5112066268920898 time for calcul the mask position with numpy : 0.05857539176940918 nb_pixel_total : 6713 time to create 1 rle with old method : 0.00855565071105957 time for calcul the mask position with numpy : 0.06103157997131348 nb_pixel_total : 154965 time to create 1 rle with new method : 1.2686023712158203 time for calcul the mask position with numpy : 0.05556058883666992 nb_pixel_total : 40429 time to create 1 rle with old method : 0.048537492752075195 time for calcul the mask position with numpy : 0.056293487548828125 nb_pixel_total : 16607 time to create 1 rle with old method : 0.02056431770324707 time for calcul the mask position with numpy : 0.056366682052612305 nb_pixel_total : 28003 time to create 1 rle with old method : 0.03146767616271973 time for calcul the mask position with numpy : 0.0574641227722168 nb_pixel_total : 114743 time to create 1 rle with old method : 0.1292564868927002 time for calcul the mask position with numpy : 0.05667996406555176 nb_pixel_total : 1920 time to create 1 rle with old method : 0.002447843551635742 time for calcul the mask position with numpy : 0.056786537170410156 nb_pixel_total : 40430 time to create 1 rle with old method : 0.04508399963378906 time for calcul the mask position with numpy : 0.25759053230285645 nb_pixel_total : 317993 time to create 1 rle with new method : 1.387721061706543 time for calcul the mask position with numpy : 0.05574178695678711 nb_pixel_total : 34674 time to create 1 rle with old method : 0.038535118103027344 time for calcul the mask position with numpy : 0.06019949913024902 nb_pixel_total : 346321 time to create 1 rle with new method : 1.2540032863616943 time for calcul the mask position with numpy : 0.05415701866149902 nb_pixel_total : 123590 time to create 1 rle with old method : 0.13383817672729492 time for calcul the mask position with numpy : 0.05508542060852051 nb_pixel_total : 28972 time to create 1 rle with old method : 0.03188967704772949 time for calcul the mask position with numpy : 0.05458354949951172 nb_pixel_total : 23415 time to create 1 rle with old method : 0.026191234588623047 time for calcul the mask position with numpy : 0.05691409111022949 nb_pixel_total : 26245 time to create 1 rle with old method : 0.03115367889404297 time for calcul the mask position with numpy : 0.06256484985351562 nb_pixel_total : 20390 time to create 1 rle with old method : 0.023310422897338867 time for calcul the mask position with numpy : 0.05615806579589844 nb_pixel_total : 51 time to create 1 rle with old method : 0.00012445449829101562 time for calcul the mask position with numpy : 0.06059551239013672 nb_pixel_total : 90655 time to create 1 rle with old method : 0.10271930694580078 time for calcul the mask position with numpy : 0.055623769760131836 nb_pixel_total : 52435 time to create 1 rle with old method : 0.06153583526611328 time for calcul the mask position with numpy : 0.06003928184509277 nb_pixel_total : 71704 time to create 1 rle with old method : 0.11072373390197754 time for calcul the mask position with numpy : 0.06542325019836426 nb_pixel_total : 40318 time to create 1 rle with old method : 0.06301641464233398 time for calcul the mask position with numpy : 0.06176447868347168 nb_pixel_total : 143168 time to create 1 rle with old method : 0.16607999801635742 time for calcul the mask position with numpy : 0.05628633499145508 nb_pixel_total : 4104 time to create 1 rle with old method : 0.004966020584106445 time for calcul the mask position with numpy : 0.059610605239868164 nb_pixel_total : 292233 time to create 1 rle with new method : 2.3711795806884766 time for calcul the mask position with numpy : 0.05440187454223633 nb_pixel_total : 3985 time to create 1 rle with old method : 0.004502058029174805 time for calcul the mask position with numpy : 0.059021711349487305 nb_pixel_total : 76826 time to create 1 rle with old method : 0.08491754531860352 time for calcul the mask position with numpy : 0.056688785552978516 nb_pixel_total : 46 time to create 1 rle with old method : 0.0002276897430419922 time for calcul the mask position with numpy : 0.05852174758911133 nb_pixel_total : 15731 time to create 1 rle with old method : 0.01993560791015625 time for calcul the mask position with numpy : 0.057082414627075195 nb_pixel_total : 50741 time to create 1 rle with old method : 0.08648228645324707 time for calcul the mask position with numpy : 0.06312751770019531 nb_pixel_total : 111788 time to create 1 rle with old method : 0.14542675018310547 time for calcul the mask position with numpy : 0.0587763786315918 nb_pixel_total : 137891 time to create 1 rle with old method : 0.17827367782592773 time for calcul the mask position with numpy : 0.06336355209350586 nb_pixel_total : 263801 time to create 1 rle with new method : 1.371830940246582 time for calcul the mask position with numpy : 0.06058502197265625 nb_pixel_total : 95380 time to create 1 rle with old method : 0.13043642044067383 time for calcul the mask position with numpy : 0.05584383010864258 nb_pixel_total : 72851 time to create 1 rle with old method : 0.08822274208068848 time for calcul the mask position with numpy : 0.05516409873962402 nb_pixel_total : 33770 time to create 1 rle with old method : 0.04064226150512695 time for calcul the mask position with numpy : 0.056269168853759766 nb_pixel_total : 20366 time to create 1 rle with old method : 0.024413347244262695 time for calcul the mask position with numpy : 0.05803036689758301 nb_pixel_total : 60301 time to create 1 rle with old method : 0.06784367561340332 time for calcul the mask position with numpy : 0.057159423828125 nb_pixel_total : 87396 time to create 1 rle with old method : 0.10204458236694336 time for calcul the mask position with numpy : 0.05734729766845703 nb_pixel_total : 1829 time to create 1 rle with old method : 0.0023131370544433594 time for calcul the mask position with numpy : 0.058661699295043945 nb_pixel_total : 8080 time to create 1 rle with old method : 0.01332712173461914 time for calcul the mask position with numpy : 0.059890031814575195 nb_pixel_total : 17130 time to create 1 rle with old method : 0.019171714782714844 time for calcul the mask position with numpy : 0.054140329360961914 nb_pixel_total : 49069 time to create 1 rle with old method : 0.056858062744140625 time for calcul the mask position with numpy : 0.05382251739501953 nb_pixel_total : 11926 time to create 1 rle with old method : 0.013417959213256836 time for calcul the mask position with numpy : 0.054789066314697266 nb_pixel_total : 104386 time to create 1 rle with old method : 0.11535191535949707 time for calcul the mask position with numpy : 0.0550084114074707 nb_pixel_total : 20037 time to create 1 rle with old method : 0.023670673370361328 time for calcul the mask position with numpy : 0.05450129508972168 nb_pixel_total : 28290 time to create 1 rle with old method : 0.031516075134277344 time for calcul the mask position with numpy : 0.05995440483093262 nb_pixel_total : 242390 time to create 1 rle with new method : 1.3527367115020752 time for calcul the mask position with numpy : 0.053785085678100586 nb_pixel_total : 109 time to create 1 rle with old method : 0.0003380775451660156 time for calcul the mask position with numpy : 0.05414938926696777 nb_pixel_total : 28379 time to create 1 rle with old method : 0.031683921813964844 time for calcul the mask position with numpy : 0.05445694923400879 nb_pixel_total : 78335 time to create 1 rle with old method : 0.08706498146057129 time for calcul the mask position with numpy : 0.05357813835144043 nb_pixel_total : 25122 time to create 1 rle with old method : 0.028176546096801758 time for calcul the mask position with numpy : 0.05437278747558594 nb_pixel_total : 106690 time to create 1 rle with old method : 0.9598164558410645 time for calcul the mask position with numpy : 0.055327415466308594 nb_pixel_total : 1353 time to create 1 rle with old method : 0.0021991729736328125 time for calcul the mask position with numpy : 0.0544590950012207 nb_pixel_total : 2017 time to create 1 rle with old method : 0.0027740001678466797 time for calcul the mask position with numpy : 0.059638023376464844 nb_pixel_total : 31365 time to create 1 rle with old method : 0.0361020565032959 time for calcul the mask position with numpy : 0.08305144309997559 nb_pixel_total : 581847 time to create 1 rle with new method : 1.6817824840545654 time for calcul the mask position with numpy : 0.060189247131347656 nb_pixel_total : 126022 time to create 1 rle with old method : 0.13239479064941406 time for calcul the mask position with numpy : 0.05096936225891113 nb_pixel_total : 42205 time to create 1 rle with old method : 0.04442858695983887 time for calcul the mask position with numpy : 0.05284929275512695 nb_pixel_total : 162970 time to create 1 rle with new method : 1.1801702976226807 time for calcul the mask position with numpy : 0.05508732795715332 nb_pixel_total : 17012 time to create 1 rle with old method : 0.018503665924072266 time for calcul the mask position with numpy : 0.059786319732666016 nb_pixel_total : 421012 time to create 1 rle with new method : 1.356835126876831 time for calcul the mask position with numpy : 0.06355595588684082 nb_pixel_total : 410397 time to create 1 rle with new method : 1.398022174835205 time for calcul the mask position with numpy : 0.06228375434875488 nb_pixel_total : 182481 time to create 1 rle with new method : 1.3041024208068848 time for calcul the mask position with numpy : 0.05568742752075195 nb_pixel_total : 499 time to create 1 rle with old method : 0.0009157657623291016 time for calcul the mask position with numpy : 0.06076526641845703 nb_pixel_total : 279908 time to create 1 rle with new method : 1.421443223953247 time for calcul the mask position with numpy : 0.0592193603515625 nb_pixel_total : 243089 time to create 1 rle with new method : 1.8921184539794922 time for calcul the mask position with numpy : 0.060236215591430664 nb_pixel_total : 34706 time to create 1 rle with old method : 0.03888368606567383 time for calcul the mask position with numpy : 0.06229972839355469 nb_pixel_total : 296 time to create 1 rle with old method : 0.0005993843078613281 time for calcul the mask position with numpy : 0.06605911254882812 nb_pixel_total : 179250 time to create 1 rle with new method : 1.3905842304229736 time for calcul the mask position with numpy : 0.055001020431518555 nb_pixel_total : 63121 time to create 1 rle with old method : 0.07171845436096191 time for calcul the mask position with numpy : 0.05460023880004883 nb_pixel_total : 36118 time to create 1 rle with old method : 0.04120945930480957 time for calcul the mask position with numpy : 0.057335853576660156 nb_pixel_total : 277959 time to create 1 rle with new method : 1.3944568634033203 time for calcul the mask position with numpy : 0.054586172103881836 nb_pixel_total : 2346 time to create 1 rle with old method : 0.003327608108520508 time for calcul the mask position with numpy : 0.05501818656921387 nb_pixel_total : 2271 time to create 1 rle with old method : 0.0038919448852539062 time for calcul the mask position with numpy : 0.061599016189575195 nb_pixel_total : 74985 time to create 1 rle with old method : 0.08261966705322266 time for calcul the mask position with numpy : 0.06838512420654297 nb_pixel_total : 843475 time to create 1 rle with new method : 0.9473323822021484 time for calcul the mask position with numpy : 0.05486297607421875 nb_pixel_total : 100463 time to create 1 rle with old method : 0.11201667785644531 time for calcul the mask position with numpy : 0.05366921424865723 nb_pixel_total : 6760 time to create 1 rle with old method : 0.007556915283203125 time for calcul the mask position with numpy : 0.053745269775390625 nb_pixel_total : 15399 time to create 1 rle with old method : 0.017261028289794922 time for calcul the mask position with numpy : 0.05660057067871094 nb_pixel_total : 315892 time to create 1 rle with new method : 1.2157490253448486 time for calcul the mask position with numpy : 0.0539698600769043 nb_pixel_total : 883 time to create 1 rle with old method : 0.0010519027709960938 time for calcul the mask position with numpy : 0.0592961311340332 nb_pixel_total : 141210 time to create 1 rle with old method : 0.19072651863098145 time for calcul the mask position with numpy : 0.053937435150146484 nb_pixel_total : 4669 time to create 1 rle with old method : 0.0059146881103515625 time for calcul the mask position with numpy : 0.05591320991516113 nb_pixel_total : 152831 time to create 1 rle with new method : 0.8231878280639648 time for calcul the mask position with numpy : 0.055871009826660156 nb_pixel_total : 169311 time to create 1 rle with new method : 0.828463077545166 time for calcul the mask position with numpy : 0.057981252670288086 nb_pixel_total : 160301 time to create 1 rle with new method : 0.6201231479644775 time for calcul the mask position with numpy : 0.059413909912109375 nb_pixel_total : 1801 time to create 1 rle with old method : 0.0028471946716308594 time for calcul the mask position with numpy : 0.05575680732727051 nb_pixel_total : 60218 time to create 1 rle with old method : 0.06922149658203125 time for calcul the mask position with numpy : 0.05369710922241211 nb_pixel_total : 20002 time to create 1 rle with old method : 0.022589921951293945 time for calcul the mask position with numpy : 0.055498361587524414 nb_pixel_total : 138297 time to create 1 rle with old method : 0.16347694396972656 time for calcul the mask position with numpy : 0.05587935447692871 nb_pixel_total : 47198 time to create 1 rle with old method : 0.06044483184814453 time for calcul the mask position with numpy : 0.05705833435058594 nb_pixel_total : 80049 time to create 1 rle with old method : 0.09476280212402344 time for calcul the mask position with numpy : 0.0587160587310791 nb_pixel_total : 199533 time to create 1 rle with new method : 1.078108787536621 time for calcul the mask position with numpy : 0.05702567100524902 nb_pixel_total : 19378 time to create 1 rle with old method : 0.03076338768005371 time for calcul the mask position with numpy : 0.07133173942565918 nb_pixel_total : 71748 time to create 1 rle with old method : 0.08319425582885742 time for calcul the mask position with numpy : 0.056143999099731445 nb_pixel_total : 34138 time to create 1 rle with old method : 0.037882089614868164 create new chi : 41.42257118225098 time to delete rle : 0.023147106170654297 batch 1 Loaded 97 chid ids of type : 4855 Number RLEs to save : 69852 TO DO : save crop sub photo not yet done ! save time : 13.599149703979492 nb_obj : 84 nb_hashtags : 10 time to prepare the origin masks : 87.3705677986145 time for calcul the mask position with numpy : 0.5802764892578125 nb_pixel_total : 3683856 time to create 1 rle with new method : 1.7359304428100586 time for calcul the mask position with numpy : 0.05714988708496094 nb_pixel_total : 161682 time to create 1 rle with new method : 1.0613563060760498 time for calcul the mask position with numpy : 0.0553746223449707 nb_pixel_total : 202819 time to create 1 rle with new method : 1.2624754905700684 time for calcul the mask position with numpy : 0.05615735054016113 nb_pixel_total : 64212 time to create 1 rle with old method : 0.07325959205627441 time for calcul the mask position with numpy : 0.05898928642272949 nb_pixel_total : 10713 time to create 1 rle with old method : 0.012161016464233398 time for calcul the mask position with numpy : 0.05543923377990723 nb_pixel_total : 6490 time to create 1 rle with old method : 0.007635831832885742 time for calcul the mask position with numpy : 0.06046867370605469 nb_pixel_total : 56481 time to create 1 rle with old method : 0.06273055076599121 time for calcul the mask position with numpy : 0.06477928161621094 nb_pixel_total : 290900 time to create 1 rle with new method : 1.6353466510772705 time for calcul the mask position with numpy : 0.05982255935668945 nb_pixel_total : 375804 time to create 1 rle with new method : 1.728478193283081 time for calcul the mask position with numpy : 0.06009960174560547 nb_pixel_total : 348574 time to create 1 rle with new method : 1.3277246952056885 time for calcul the mask position with numpy : 0.05619192123413086 nb_pixel_total : 90150 time to create 1 rle with old method : 0.10628747940063477 time for calcul the mask position with numpy : 0.06096386909484863 nb_pixel_total : 8186 time to create 1 rle with old method : 0.013616800308227539 time for calcul the mask position with numpy : 0.05731201171875 nb_pixel_total : 51626 time to create 1 rle with old method : 0.05827140808105469 time for calcul the mask position with numpy : 0.0605006217956543 nb_pixel_total : 65960 time to create 1 rle with old method : 0.07492685317993164 time for calcul the mask position with numpy : 0.05765175819396973 nb_pixel_total : 36207 time to create 1 rle with old method : 0.04129767417907715 time for calcul the mask position with numpy : 0.05687975883483887 nb_pixel_total : 29142 time to create 1 rle with old method : 0.03289198875427246 time for calcul the mask position with numpy : 0.054917335510253906 nb_pixel_total : 87516 time to create 1 rle with old method : 0.09914159774780273 time for calcul the mask position with numpy : 0.09975767135620117 nb_pixel_total : 869680 time to create 1 rle with new method : 1.0992908477783203 time for calcul the mask position with numpy : 0.0645596981048584 nb_pixel_total : 15506 time to create 1 rle with old method : 0.022924184799194336 time for calcul the mask position with numpy : 0.05498361587524414 nb_pixel_total : 46810 time to create 1 rle with old method : 0.09825921058654785 time for calcul the mask position with numpy : 0.06845474243164062 nb_pixel_total : 103909 time to create 1 rle with old method : 0.11423516273498535 time for calcul the mask position with numpy : 0.054411888122558594 nb_pixel_total : 104475 time to create 1 rle with old method : 0.13892412185668945 time for calcul the mask position with numpy : 0.05573534965515137 nb_pixel_total : 168511 time to create 1 rle with new method : 2.581240653991699 time for calcul the mask position with numpy : 0.07087111473083496 nb_pixel_total : 29864 time to create 1 rle with old method : 0.03345346450805664 time for calcul the mask position with numpy : 0.05735492706298828 nb_pixel_total : 38433 time to create 1 rle with old method : 0.04205965995788574 time for calcul the mask position with numpy : 0.05627298355102539 nb_pixel_total : 29792 time to create 1 rle with old method : 0.03391432762145996 time for calcul the mask position with numpy : 0.06245541572570801 nb_pixel_total : 336579 time to create 1 rle with new method : 1.413315773010254 time for calcul the mask position with numpy : 0.05705714225769043 nb_pixel_total : 90063 time to create 1 rle with old method : 0.09955000877380371 time for calcul the mask position with numpy : 0.057097434997558594 nb_pixel_total : 22819 time to create 1 rle with old method : 0.025681734085083008 time for calcul the mask position with numpy : 0.05680274963378906 nb_pixel_total : 72527 time to create 1 rle with old method : 0.08176016807556152 time for calcul the mask position with numpy : 0.05585026741027832 nb_pixel_total : 41937 time to create 1 rle with old method : 0.04833555221557617 time for calcul the mask position with numpy : 0.06575632095336914 nb_pixel_total : 53792 time to create 1 rle with old method : 0.060143232345581055 time for calcul the mask position with numpy : 0.0577549934387207 nb_pixel_total : 141455 time to create 1 rle with old method : 0.1568620204925537 time for calcul the mask position with numpy : 0.056833744049072266 nb_pixel_total : 3342 time to create 1 rle with old method : 0.005296230316162109 time for calcul the mask position with numpy : 0.05586075782775879 nb_pixel_total : 34834 time to create 1 rle with old method : 0.04070734977722168 time for calcul the mask position with numpy : 0.06989622116088867 nb_pixel_total : 818297 time to create 1 rle with new method : 1.5672917366027832 time for calcul the mask position with numpy : 0.05601811408996582 nb_pixel_total : 64014 time to create 1 rle with old method : 0.0717766284942627 time for calcul the mask position with numpy : 0.05661416053771973 nb_pixel_total : 63781 time to create 1 rle with old method : 0.08939671516418457 time for calcul the mask position with numpy : 0.07151460647583008 nb_pixel_total : 132323 time to create 1 rle with old method : 0.16547441482543945 time for calcul the mask position with numpy : 0.07105422019958496 nb_pixel_total : 50694 time to create 1 rle with old method : 0.058370113372802734 time for calcul the mask position with numpy : 0.05604696273803711 nb_pixel_total : 6388 time to create 1 rle with old method : 0.007657766342163086 time for calcul the mask position with numpy : 0.056864261627197266 nb_pixel_total : 70304 time to create 1 rle with old method : 0.07648086547851562 time for calcul the mask position with numpy : 0.05564141273498535 nb_pixel_total : 44836 time to create 1 rle with old method : 0.05412864685058594 time for calcul the mask position with numpy : 0.06251406669616699 nb_pixel_total : 287112 time to create 1 rle with new method : 1.7019155025482178 time for calcul the mask position with numpy : 0.05540657043457031 nb_pixel_total : 29042 time to create 1 rle with old method : 0.03363394737243652 time for calcul the mask position with numpy : 0.06774258613586426 nb_pixel_total : 105219 time to create 1 rle with old method : 0.11977386474609375 time for calcul the mask position with numpy : 0.055495500564575195 nb_pixel_total : 80035 time to create 1 rle with old method : 0.08769869804382324 time for calcul the mask position with numpy : 0.05265617370605469 nb_pixel_total : 828 time to create 1 rle with old method : 0.00110626220703125 time for calcul the mask position with numpy : 0.05645585060119629 nb_pixel_total : 310281 time to create 1 rle with new method : 1.113717794418335 time for calcul the mask position with numpy : 0.05564403533935547 nb_pixel_total : 79417 time to create 1 rle with old method : 0.08847260475158691 time for calcul the mask position with numpy : 0.055742502212524414 nb_pixel_total : 64967 time to create 1 rle with old method : 0.09255623817443848 time for calcul the mask position with numpy : 0.0660097599029541 nb_pixel_total : 46454 time to create 1 rle with old method : 0.08028912544250488 time for calcul the mask position with numpy : 0.07243657112121582 nb_pixel_total : 176314 time to create 1 rle with new method : 1.5735116004943848 time for calcul the mask position with numpy : 0.05936884880065918 nb_pixel_total : 217482 time to create 1 rle with new method : 1.9456262588500977 time for calcul the mask position with numpy : 0.06373763084411621 nb_pixel_total : 162802 time to create 1 rle with new method : 2.025029420852661 time for calcul the mask position with numpy : 0.05555319786071777 nb_pixel_total : 45002 time to create 1 rle with old method : 0.05114102363586426 time for calcul the mask position with numpy : 0.05553579330444336 nb_pixel_total : 59750 time to create 1 rle with old method : 0.06649398803710938 time for calcul the mask position with numpy : 0.06311464309692383 nb_pixel_total : 467106 time to create 1 rle with new method : 0.8441760540008545 time for calcul the mask position with numpy : 0.05392026901245117 nb_pixel_total : 35328 time to create 1 rle with old method : 2.907116413116455 time for calcul the mask position with numpy : 0.07091212272644043 nb_pixel_total : 881 time to create 1 rle with old method : 0.0011794567108154297 time for calcul the mask position with numpy : 0.05681586265563965 nb_pixel_total : 62003 time to create 1 rle with old method : 0.09214329719543457 time for calcul the mask position with numpy : 0.058428049087524414 nb_pixel_total : 257411 time to create 1 rle with new method : 0.8847901821136475 time for calcul the mask position with numpy : 0.057749271392822266 nb_pixel_total : 8672 time to create 1 rle with old method : 0.02087855339050293 time for calcul the mask position with numpy : 0.058438777923583984 nb_pixel_total : 116962 time to create 1 rle with old method : 0.15568780899047852 time for calcul the mask position with numpy : 0.0579221248626709 nb_pixel_total : 49233 time to create 1 rle with old method : 0.057790517807006836 time for calcul the mask position with numpy : 0.06281518936157227 nb_pixel_total : 13494 time to create 1 rle with old method : 0.015635251998901367 time for calcul the mask position with numpy : 0.05544590950012207 nb_pixel_total : 6519 time to create 1 rle with old method : 0.009029150009155273 time for calcul the mask position with numpy : 0.06080484390258789 nb_pixel_total : 163524 time to create 1 rle with new method : 0.993863582611084 time for calcul the mask position with numpy : 0.05551648139953613 nb_pixel_total : 10463 time to create 1 rle with old method : 0.011907577514648438 time for calcul the mask position with numpy : 0.0610504150390625 nb_pixel_total : 356527 time to create 1 rle with new method : 1.0579705238342285 time for calcul the mask position with numpy : 0.06392836570739746 nb_pixel_total : 24308 time to create 1 rle with old method : 0.03357553482055664 time for calcul the mask position with numpy : 0.05648922920227051 nb_pixel_total : 45484 time to create 1 rle with old method : 0.05163931846618652 time for calcul the mask position with numpy : 0.07014584541320801 nb_pixel_total : 46766 time to create 1 rle with old method : 0.05496382713317871 time for calcul the mask position with numpy : 0.05705833435058594 nb_pixel_total : 70143 time to create 1 rle with old method : 0.07919716835021973 time for calcul the mask position with numpy : 0.05650639533996582 nb_pixel_total : 125564 time to create 1 rle with old method : 0.13802504539489746 time for calcul the mask position with numpy : 0.05504870414733887 nb_pixel_total : 56020 time to create 1 rle with old method : 0.06350064277648926 time for calcul the mask position with numpy : 0.055268049240112305 nb_pixel_total : 37993 time to create 1 rle with old method : 0.042261600494384766 time for calcul the mask position with numpy : 0.11278390884399414 nb_pixel_total : 154290 time to create 1 rle with new method : 1.1957342624664307 time for calcul the mask position with numpy : 0.06333041191101074 nb_pixel_total : 87967 time to create 1 rle with old method : 0.11118364334106445 time for calcul the mask position with numpy : 0.054714202880859375 nb_pixel_total : 12683 time to create 1 rle with old method : 0.014211177825927734 time for calcul the mask position with numpy : 0.05557870864868164 nb_pixel_total : 60452 time to create 1 rle with old method : 0.06753730773925781 time for calcul the mask position with numpy : 0.0549619197845459 nb_pixel_total : 631 time to create 1 rle with old method : 0.0010004043579101562 time for calcul the mask position with numpy : 0.05675148963928223 nb_pixel_total : 6169 time to create 1 rle with old method : 0.007369279861450195 time for calcul the mask position with numpy : 0.05677390098571777 nb_pixel_total : 11752 time to create 1 rle with old method : 0.019112586975097656 time for calcul the mask position with numpy : 0.08709907531738281 nb_pixel_total : 867 time to create 1 rle with old method : 0.0013036727905273438 create new chi : 42.56158518791199 time to delete rle : 0.02438950538635254 batch 1 Loaded 85 chid ids of type : 4855 Number RLEs to save : 67320 TO DO : save crop sub photo not yet done ! save time : 9.6337730884552 nb_obj : 94 nb_hashtags : 10 time to prepare the origin masks : 84.43484330177307 time for calcul the mask position with numpy : 0.5176279544830322 nb_pixel_total : 3479703 time to create 1 rle with new method : 1.8623998165130615 time for calcul the mask position with numpy : 0.05640268325805664 nb_pixel_total : 63987 time to create 1 rle with old method : 0.07082104682922363 time for calcul the mask position with numpy : 0.056322574615478516 nb_pixel_total : 89504 time to create 1 rle with old method : 0.09893798828125 time for calcul the mask position with numpy : 0.06361222267150879 nb_pixel_total : 63132 time to create 1 rle with old method : 0.0741109848022461 time for calcul the mask position with numpy : 0.06546282768249512 nb_pixel_total : 5234 time to create 1 rle with old method : 0.006548166275024414 time for calcul the mask position with numpy : 0.05868101119995117 nb_pixel_total : 210846 time to create 1 rle with new method : 1.7416355609893799 time for calcul the mask position with numpy : 0.054292917251586914 nb_pixel_total : 13852 time to create 1 rle with old method : 0.01563739776611328 time for calcul the mask position with numpy : 0.05463075637817383 nb_pixel_total : 20613 time to create 1 rle with old method : 0.0231015682220459 time for calcul the mask position with numpy : 0.054816246032714844 nb_pixel_total : 24971 time to create 1 rle with old method : 0.04223322868347168 time for calcul the mask position with numpy : 0.09107565879821777 nb_pixel_total : 85085 time to create 1 rle with old method : 0.0939333438873291 time for calcul the mask position with numpy : 0.057942867279052734 nb_pixel_total : 298794 time to create 1 rle with new method : 1.5657527446746826 time for calcul the mask position with numpy : 0.05977511405944824 nb_pixel_total : 42126 time to create 1 rle with old method : 0.0476069450378418 time for calcul the mask position with numpy : 0.054909706115722656 nb_pixel_total : 50921 time to create 1 rle with old method : 0.05664634704589844 time for calcul the mask position with numpy : 0.0549163818359375 nb_pixel_total : 53850 time to create 1 rle with old method : 0.06026649475097656 time for calcul the mask position with numpy : 0.0547785758972168 nb_pixel_total : 37583 time to create 1 rle with old method : 0.04212522506713867 time for calcul the mask position with numpy : 0.05538034439086914 nb_pixel_total : 41003 time to create 1 rle with old method : 0.04565596580505371 time for calcul the mask position with numpy : 0.05476641654968262 nb_pixel_total : 48725 time to create 1 rle with old method : 0.054180145263671875 time for calcul the mask position with numpy : 0.05544471740722656 nb_pixel_total : 43341 time to create 1 rle with old method : 0.04848361015319824 time for calcul the mask position with numpy : 1.358121395111084 nb_pixel_total : 549671 time to create 1 rle with new method : 1.7554638385772705 time for calcul the mask position with numpy : 0.05492138862609863 nb_pixel_total : 28439 time to create 1 rle with old method : 0.031960487365722656 time for calcul the mask position with numpy : 0.05852460861206055 nb_pixel_total : 64549 time to create 1 rle with old method : 0.08695292472839355 time for calcul the mask position with numpy : 0.05594205856323242 nb_pixel_total : 73092 time to create 1 rle with old method : 0.08114218711853027 time for calcul the mask position with numpy : 0.05730128288269043 nb_pixel_total : 40597 time to create 1 rle with old method : 0.04548811912536621 time for calcul the mask position with numpy : 0.06717967987060547 nb_pixel_total : 242530 time to create 1 rle with new method : 1.4406442642211914 time for calcul the mask position with numpy : 0.06207776069641113 nb_pixel_total : 47683 time to create 1 rle with old method : 0.05472564697265625 time for calcul the mask position with numpy : 0.05662083625793457 nb_pixel_total : 128255 time to create 1 rle with old method : 0.14383530616760254 time for calcul the mask position with numpy : 0.05731201171875 nb_pixel_total : 254587 time to create 1 rle with new method : 1.6346478462219238 time for calcul the mask position with numpy : 0.054711103439331055 nb_pixel_total : 3827 time to create 1 rle with old method : 0.005032539367675781 time for calcul the mask position with numpy : 0.05548405647277832 nb_pixel_total : 67913 time to create 1 rle with old method : 0.07460284233093262 time for calcul the mask position with numpy : 0.061226606369018555 nb_pixel_total : 94842 time to create 1 rle with old method : 0.12919950485229492 time for calcul the mask position with numpy : 0.059762001037597656 nb_pixel_total : 71266 time to create 1 rle with old method : 0.0955967903137207 time for calcul the mask position with numpy : 0.054934024810791016 nb_pixel_total : 30097 time to create 1 rle with old method : 0.035906076431274414 time for calcul the mask position with numpy : 0.05591225624084473 nb_pixel_total : 135840 time to create 1 rle with old method : 0.14917993545532227 time for calcul the mask position with numpy : 0.0549008846282959 nb_pixel_total : 1751 time to create 1 rle with old method : 0.002469778060913086 time for calcul the mask position with numpy : 0.05657625198364258 nb_pixel_total : 138565 time to create 1 rle with old method : 0.17806410789489746 time for calcul the mask position with numpy : 0.05872464179992676 nb_pixel_total : 95693 time to create 1 rle with old method : 0.1028587818145752 time for calcul the mask position with numpy : 0.0554044246673584 nb_pixel_total : 123288 time to create 1 rle with old method : 0.13689804077148438 time for calcul the mask position with numpy : 0.05508780479431152 nb_pixel_total : 112167 time to create 1 rle with old method : 0.12473583221435547 time for calcul the mask position with numpy : 0.0611722469329834 nb_pixel_total : 399058 time to create 1 rle with new method : 2.011709690093994 time for calcul the mask position with numpy : 0.055563926696777344 nb_pixel_total : 519 time to create 1 rle with old method : 0.0010528564453125 time for calcul the mask position with numpy : 0.055042266845703125 nb_pixel_total : 32480 time to create 1 rle with old method : 0.03736281394958496 time for calcul the mask position with numpy : 0.05514335632324219 nb_pixel_total : 21039 time to create 1 rle with old method : 0.023819446563720703 time for calcul the mask position with numpy : 0.05552411079406738 nb_pixel_total : 3389 time to create 1 rle with old method : 0.005775928497314453 time for calcul the mask position with numpy : 0.05753326416015625 nb_pixel_total : 150560 time to create 1 rle with new method : 1.6965885162353516 time for calcul the mask position with numpy : 0.05873608589172363 nb_pixel_total : 188364 time to create 1 rle with new method : 2.0654985904693604 time for calcul the mask position with numpy : 0.05503392219543457 nb_pixel_total : 12319 time to create 1 rle with old method : 0.01466989517211914 time for calcul the mask position with numpy : 0.05904388427734375 nb_pixel_total : 251116 time to create 1 rle with new method : 1.4216804504394531 time for calcul the mask position with numpy : 0.053479671478271484 nb_pixel_total : 60085 time to create 1 rle with old method : 0.06787967681884766 time for calcul the mask position with numpy : 0.05590176582336426 nb_pixel_total : 173002 time to create 1 rle with new method : 1.0791528224945068 time for calcul the mask position with numpy : 0.055013418197631836 nb_pixel_total : 6801 time to create 1 rle with old method : 0.008491039276123047 time for calcul the mask position with numpy : 0.054573774337768555 nb_pixel_total : 8148 time to create 1 rle with old method : 0.009558439254760742 time for calcul the mask position with numpy : 0.05561232566833496 nb_pixel_total : 124133 time to create 1 rle with old method : 0.13741278648376465 time for calcul the mask position with numpy : 0.05539560317993164 nb_pixel_total : 56626 time to create 1 rle with old method : 0.08099126815795898 time for calcul the mask position with numpy : 0.07801556587219238 nb_pixel_total : 652044 time to create 1 rle with new method : 1.6393532752990723 time for calcul the mask position with numpy : 0.06114506721496582 nb_pixel_total : 488709 time to create 1 rle with new method : 1.547764539718628 time for calcul the mask position with numpy : 0.0530240535736084 nb_pixel_total : 18750 time to create 1 rle with old method : 0.02002739906311035 time for calcul the mask position with numpy : 0.05247211456298828 nb_pixel_total : 15339 time to create 1 rle with old method : 0.01641845703125 time for calcul the mask position with numpy : 0.05515766143798828 nb_pixel_total : 33189 time to create 1 rle with old method : 0.03595995903015137 time for calcul the mask position with numpy : 0.05418801307678223 nb_pixel_total : 70027 time to create 1 rle with old method : 0.07451415061950684 time for calcul the mask position with numpy : 0.05190229415893555 nb_pixel_total : 67963 time to create 1 rle with old method : 0.07070660591125488 time for calcul the mask position with numpy : 0.05149388313293457 nb_pixel_total : 1341 time to create 1 rle with old method : 0.0019457340240478516 time for calcul the mask position with numpy : 0.05196738243103027 nb_pixel_total : 22557 time to create 1 rle with old method : 0.024390220642089844 time for calcul the mask position with numpy : 0.06120800971984863 nb_pixel_total : 89562 time to create 1 rle with old method : 0.10390663146972656 time for calcul the mask position with numpy : 0.05504631996154785 nb_pixel_total : 115533 time to create 1 rle with old method : 0.12914085388183594 time for calcul the mask position with numpy : 0.056734561920166016 nb_pixel_total : 146868 time to create 1 rle with old method : 0.16364598274230957 time for calcul the mask position with numpy : 0.055967092514038086 nb_pixel_total : 22295 time to create 1 rle with old method : 0.03650093078613281 time for calcul the mask position with numpy : 0.057318925857543945 nb_pixel_total : 50715 time to create 1 rle with old method : 0.05786728858947754 time for calcul the mask position with numpy : 0.055269479751586914 nb_pixel_total : 24627 time to create 1 rle with old method : 0.02775096893310547 time for calcul the mask position with numpy : 0.05501389503479004 nb_pixel_total : 17021 time to create 1 rle with old method : 0.023108959197998047 time for calcul the mask position with numpy : 0.05535316467285156 nb_pixel_total : 44658 time to create 1 rle with old method : 0.05084729194641113 time for calcul the mask position with numpy : 0.06731319427490234 nb_pixel_total : 40799 time to create 1 rle with old method : 0.04818391799926758 time for calcul the mask position with numpy : 0.05839037895202637 nb_pixel_total : 285215 time to create 1 rle with new method : 2.377887010574341 time for calcul the mask position with numpy : 0.055027008056640625 nb_pixel_total : 15738 time to create 1 rle with old method : 0.017986297607421875 time for calcul the mask position with numpy : 0.056700706481933594 nb_pixel_total : 102855 time to create 1 rle with old method : 0.11454057693481445 time for calcul the mask position with numpy : 0.05678153038024902 nb_pixel_total : 108606 time to create 1 rle with old method : 0.11950016021728516 time for calcul the mask position with numpy : 0.06968903541564941 nb_pixel_total : 693873 time to create 1 rle with new method : 1.8870453834533691 time for calcul the mask position with numpy : 0.056281089782714844 nb_pixel_total : 96759 time to create 1 rle with old method : 0.10744380950927734 time for calcul the mask position with numpy : 0.05543828010559082 nb_pixel_total : 35545 time to create 1 rle with old method : 0.03951311111450195 time for calcul the mask position with numpy : 0.0564723014831543 nb_pixel_total : 21995 time to create 1 rle with old method : 0.02501964569091797 time for calcul the mask position with numpy : 0.057007789611816406 nb_pixel_total : 86478 time to create 1 rle with old method : 0.10680294036865234 time for calcul the mask position with numpy : 0.06079888343811035 nb_pixel_total : 22588 time to create 1 rle with old method : 0.024973630905151367 time for calcul the mask position with numpy : 0.05444073677062988 nb_pixel_total : 2171 time to create 1 rle with old method : 0.0029976367950439453 time for calcul the mask position with numpy : 0.05516648292541504 nb_pixel_total : 19004 time to create 1 rle with old method : 0.026099681854248047 time for calcul the mask position with numpy : 0.08168721199035645 nb_pixel_total : 10263 time to create 1 rle with old method : 0.012280702590942383 time for calcul the mask position with numpy : 0.07263851165771484 nb_pixel_total : 284243 time to create 1 rle with new method : 1.8331589698791504 time for calcul the mask position with numpy : 0.06082773208618164 nb_pixel_total : 8720 time to create 1 rle with old method : 0.010785102844238281 time for calcul the mask position with numpy : 0.055730342864990234 nb_pixel_total : 841 time to create 1 rle with old method : 0.0018095970153808594 time for calcul the mask position with numpy : 0.06271505355834961 nb_pixel_total : 79670 time to create 1 rle with old method : 0.09094500541687012 time for calcul the mask position with numpy : 0.0687417984008789 nb_pixel_total : 245963 time to create 1 rle with new method : 1.7157890796661377 time for calcul the mask position with numpy : 0.06079840660095215 nb_pixel_total : 104251 time to create 1 rle with old method : 0.1489114761352539 time for calcul the mask position with numpy : 0.06734442710876465 nb_pixel_total : 239383 time to create 1 rle with new method : 1.2713210582733154 time for calcul the mask position with numpy : 0.06544756889343262 nb_pixel_total : 94051 time to create 1 rle with old method : 0.10345220565795898 time for calcul the mask position with numpy : 0.05979275703430176 nb_pixel_total : 6059 time to create 1 rle with old method : 0.007059812545776367 time for calcul the mask position with numpy : 0.06087994575500488 nb_pixel_total : 874 time to create 1 rle with old method : 0.0022742748260498047 time for calcul the mask position with numpy : 0.060578346252441406 nb_pixel_total : 26497 time to create 1 rle with old method : 0.02968287467956543 create new chi : 43.54019355773926 time to delete rle : 0.022440433502197266 batch 1 Loaded 95 chid ids of type : 4855 Number RLEs to save : 69937 TO DO : save crop sub photo not yet done ! save time : 24.923583984375 nb_obj : 81 nb_hashtags : 11 time to prepare the origin masks : 78.74653840065002 time for calcul the mask position with numpy : 0.2342395782470703 nb_pixel_total : 3091848 time to create 1 rle with new method : 2.1163737773895264 time for calcul the mask position with numpy : 0.07077980041503906 nb_pixel_total : 544014 time to create 1 rle with new method : 1.4561400413513184 time for calcul the mask position with numpy : 0.05739474296569824 nb_pixel_total : 241536 time to create 1 rle with new method : 1.516083002090454 time for calcul the mask position with numpy : 0.05493617057800293 nb_pixel_total : 16150 time to create 1 rle with old method : 0.018305301666259766 time for calcul the mask position with numpy : 0.054735422134399414 nb_pixel_total : 6498 time to create 1 rle with old method : 0.007409334182739258 time for calcul the mask position with numpy : 0.055004119873046875 nb_pixel_total : 38408 time to create 1 rle with old method : 0.043448686599731445 time for calcul the mask position with numpy : 0.05623459815979004 nb_pixel_total : 385 time to create 1 rle with old method : 0.0013453960418701172 time for calcul the mask position with numpy : 0.05785417556762695 nb_pixel_total : 23100 time to create 1 rle with old method : 0.0425417423248291 time for calcul the mask position with numpy : 0.0630345344543457 nb_pixel_total : 104358 time to create 1 rle with old method : 0.11573529243469238 time for calcul the mask position with numpy : 0.05451202392578125 nb_pixel_total : 22869 time to create 1 rle with old method : 0.025383710861206055 time for calcul the mask position with numpy : 0.05570077896118164 nb_pixel_total : 66107 time to create 1 rle with old method : 0.07311153411865234 time for calcul the mask position with numpy : 0.05539512634277344 nb_pixel_total : 143667 time to create 1 rle with old method : 0.19414377212524414 time for calcul the mask position with numpy : 0.05695199966430664 nb_pixel_total : 300196 time to create 1 rle with new method : 1.5510447025299072 time for calcul the mask position with numpy : 0.0546112060546875 nb_pixel_total : 100 time to create 1 rle with old method : 0.0003714561462402344 time for calcul the mask position with numpy : 0.05525493621826172 nb_pixel_total : 13375 time to create 1 rle with old method : 0.014944791793823242 time for calcul the mask position with numpy : 0.055188894271850586 nb_pixel_total : 19027 time to create 1 rle with old method : 0.021531343460083008 time for calcul the mask position with numpy : 0.05973982810974121 nb_pixel_total : 471648 time to create 1 rle with new method : 1.667316198348999 time for calcul the mask position with numpy : 0.05554366111755371 nb_pixel_total : 133286 time to create 1 rle with old method : 0.1474611759185791 time for calcul the mask position with numpy : 0.054749250411987305 nb_pixel_total : 4679 time to create 1 rle with old method : 0.005398750305175781 time for calcul the mask position with numpy : 0.054514408111572266 nb_pixel_total : 8086 time to create 1 rle with old method : 0.009698629379272461 time for calcul the mask position with numpy : 0.05707859992980957 nb_pixel_total : 1357 time to create 1 rle with old method : 0.002032756805419922 time for calcul the mask position with numpy : 0.05431771278381348 nb_pixel_total : 11010 time to create 1 rle with old method : 0.0133819580078125 time for calcul the mask position with numpy : 0.05532550811767578 nb_pixel_total : 87610 time to create 1 rle with old method : 0.09698033332824707 time for calcul the mask position with numpy : 0.05434107780456543 nb_pixel_total : 34557 time to create 1 rle with old method : 0.03864431381225586 time for calcul the mask position with numpy : 0.05478334426879883 nb_pixel_total : 55934 time to create 1 rle with old method : 0.08392691612243652 time for calcul the mask position with numpy : 0.05670881271362305 nb_pixel_total : 224090 time to create 1 rle with new method : 1.623246431350708 time for calcul the mask position with numpy : 0.07760381698608398 nb_pixel_total : 704852 time to create 1 rle with new method : 2.0227770805358887 time for calcul the mask position with numpy : 0.055403947830200195 nb_pixel_total : 2422 time to create 1 rle with old method : 0.0034923553466796875 time for calcul the mask position with numpy : 0.056452035903930664 nb_pixel_total : 41600 time to create 1 rle with old method : 0.049445152282714844 time for calcul the mask position with numpy : 0.055620670318603516 nb_pixel_total : 76592 time to create 1 rle with old method : 0.08656811714172363 time for calcul the mask position with numpy : 0.05977320671081543 nb_pixel_total : 527284 time to create 1 rle with new method : 2.6909122467041016 time for calcul the mask position with numpy : 0.05490231513977051 nb_pixel_total : 27498 time to create 1 rle with old method : 0.03090047836303711 time for calcul the mask position with numpy : 0.054894208908081055 nb_pixel_total : 60708 time to create 1 rle with old method : 0.0690157413482666 time for calcul the mask position with numpy : 0.05501866340637207 nb_pixel_total : 23452 time to create 1 rle with old method : 0.026189088821411133 time for calcul the mask position with numpy : 0.05636858940124512 nb_pixel_total : 227909 time to create 1 rle with new method : 1.6168212890625 time for calcul the mask position with numpy : 0.05474400520324707 nb_pixel_total : 14811 time to create 1 rle with old method : 0.017040491104125977 time for calcul the mask position with numpy : 0.0560452938079834 nb_pixel_total : 57591 time to create 1 rle with old method : 0.06769108772277832 time for calcul the mask position with numpy : 0.05857658386230469 nb_pixel_total : 159048 time to create 1 rle with new method : 1.155897855758667 time for calcul the mask position with numpy : 0.054947614669799805 nb_pixel_total : 779 time to create 1 rle with old method : 0.0013318061828613281 time for calcul the mask position with numpy : 0.05440545082092285 nb_pixel_total : 59248 time to create 1 rle with old method : 0.06542682647705078 time for calcul the mask position with numpy : 0.05643153190612793 nb_pixel_total : 108274 time to create 1 rle with old method : 0.20165514945983887 time for calcul the mask position with numpy : 0.07611632347106934 nb_pixel_total : 40249 time to create 1 rle with old method : 0.04665184020996094 time for calcul the mask position with numpy : 0.055623531341552734 nb_pixel_total : 67568 time to create 1 rle with old method : 0.074310302734375 time for calcul the mask position with numpy : 0.058130502700805664 nb_pixel_total : 60552 time to create 1 rle with old method : 0.06949448585510254 time for calcul the mask position with numpy : 0.05542397499084473 nb_pixel_total : 69912 time to create 1 rle with old method : 0.07825160026550293 time for calcul the mask position with numpy : 0.05526399612426758 nb_pixel_total : 108961 time to create 1 rle with old method : 0.12075638771057129 time for calcul the mask position with numpy : 0.05884552001953125 nb_pixel_total : 388786 time to create 1 rle with new method : 1.8636810779571533 time for calcul the mask position with numpy : 0.055327653884887695 nb_pixel_total : 20042 time to create 1 rle with old method : 0.022408485412597656 time for calcul the mask position with numpy : 0.05452156066894531 nb_pixel_total : 7706 time to create 1 rle with old method : 0.009048938751220703 time for calcul the mask position with numpy : 0.05739712715148926 nb_pixel_total : 105070 time to create 1 rle with old method : 0.13004064559936523 time for calcul the mask position with numpy : 0.06093764305114746 nb_pixel_total : 14193 time to create 1 rle with old method : 0.015959501266479492 time for calcul the mask position with numpy : 0.055253028869628906 nb_pixel_total : 62212 time to create 1 rle with old method : 0.06909632682800293 time for calcul the mask position with numpy : 0.05541348457336426 nb_pixel_total : 93438 time to create 1 rle with old method : 0.10370373725891113 time for calcul the mask position with numpy : 0.05586886405944824 nb_pixel_total : 275774 time to create 1 rle with new method : 1.536475658416748 time for calcul the mask position with numpy : 0.08168888092041016 nb_pixel_total : 839299 time to create 1 rle with new method : 1.503546953201294 time for calcul the mask position with numpy : 0.054764509201049805 nb_pixel_total : 51352 time to create 1 rle with old method : 0.05781197547912598 time for calcul the mask position with numpy : 0.05468249320983887 nb_pixel_total : 41269 time to create 1 rle with old method : 0.04678773880004883 time for calcul the mask position with numpy : 0.05469083786010742 nb_pixel_total : 12158 time to create 1 rle with old method : 0.014101743698120117 time for calcul the mask position with numpy : 0.055107831954956055 nb_pixel_total : 86737 time to create 1 rle with old method : 0.10112929344177246 time for calcul the mask position with numpy : 0.06096076965332031 nb_pixel_total : 62213 time to create 1 rle with old method : 0.07052326202392578 time for calcul the mask position with numpy : 0.05567622184753418 nb_pixel_total : 263341 time to create 1 rle with new method : 1.3599064350128174 time for calcul the mask position with numpy : 0.06362652778625488 nb_pixel_total : 31162 time to create 1 rle with old method : 0.04100680351257324 time for calcul the mask position with numpy : 0.05574440956115723 nb_pixel_total : 64565 time to create 1 rle with old method : 0.0741415023803711 time for calcul the mask position with numpy : 0.05529427528381348 nb_pixel_total : 17609 time to create 1 rle with old method : 0.0207364559173584 time for calcul the mask position with numpy : 0.06290507316589355 nb_pixel_total : 476892 time to create 1 rle with new method : 1.6471829414367676 time for calcul the mask position with numpy : 0.05706977844238281 nb_pixel_total : 86283 time to create 1 rle with old method : 0.09540963172912598 time for calcul the mask position with numpy : 0.055812835693359375 nb_pixel_total : 5518 time to create 1 rle with old method : 0.00650334358215332 time for calcul the mask position with numpy : 0.0552678108215332 nb_pixel_total : 67572 time to create 1 rle with old method : 0.08569002151489258 time for calcul the mask position with numpy : 0.06840133666992188 nb_pixel_total : 17850 time to create 1 rle with old method : 0.02049112319946289 time for calcul the mask position with numpy : 0.07227325439453125 nb_pixel_total : 885088 time to create 1 rle with new method : 1.3369901180267334 time for calcul the mask position with numpy : 0.06179666519165039 nb_pixel_total : 223821 time to create 1 rle with new method : 1.2658648490905762 time for calcul the mask position with numpy : 0.05420327186584473 nb_pixel_total : 33093 time to create 1 rle with old method : 0.03679800033569336 time for calcul the mask position with numpy : 0.054152727127075195 nb_pixel_total : 27248 time to create 1 rle with old method : 0.030895471572875977 time for calcul the mask position with numpy : 0.053694963455200195 nb_pixel_total : 285 time to create 1 rle with old method : 0.00034332275390625 time for calcul the mask position with numpy : 0.0560457706451416 nb_pixel_total : 272440 time to create 1 rle with new method : 1.3229873180389404 time for calcul the mask position with numpy : 0.05408930778503418 nb_pixel_total : 31760 time to create 1 rle with old method : 0.03573870658874512 time for calcul the mask position with numpy : 0.055780649185180664 nb_pixel_total : 115213 time to create 1 rle with old method : 0.14139103889465332 time for calcul the mask position with numpy : 0.0571291446685791 nb_pixel_total : 128030 time to create 1 rle with old method : 0.16867470741271973 time for calcul the mask position with numpy : 0.05401778221130371 nb_pixel_total : 13955 time to create 1 rle with old method : 0.01579880714416504 time for calcul the mask position with numpy : 0.05978512763977051 nb_pixel_total : 18420 time to create 1 rle with old method : 0.029659748077392578 time for calcul the mask position with numpy : 0.054851531982421875 nb_pixel_total : 32728 time to create 1 rle with old method : 0.03758072853088379 time for calcul the mask position with numpy : 0.05385470390319824 nb_pixel_total : 2873 time to create 1 rle with old method : 0.0036826133728027344 create new chi : 38.71991038322449 time to delete rle : 0.011841297149658203 batch 1 Loaded 82 chid ids of type : 4855 Number RLEs to save : 62835 TO DO : save crop sub photo not yet done ! save time : 9.867793321609497 nb_obj : 93 nb_hashtags : 10 time to prepare the origin masks : 82.47222876548767 time for calcul the mask position with numpy : 0.6235246658325195 nb_pixel_total : 4320791 time to create 1 rle with new method : 1.9006667137145996 time for calcul the mask position with numpy : 0.05702781677246094 nb_pixel_total : 70769 time to create 1 rle with old method : 0.07850503921508789 time for calcul the mask position with numpy : 0.05633687973022461 nb_pixel_total : 82887 time to create 1 rle with old method : 0.09575152397155762 time for calcul the mask position with numpy : 0.0563352108001709 nb_pixel_total : 77620 time to create 1 rle with old method : 0.0874013900756836 time for calcul the mask position with numpy : 0.06246590614318848 nb_pixel_total : 27164 time to create 1 rle with old method : 0.034357547760009766 time for calcul the mask position with numpy : 0.054889678955078125 nb_pixel_total : 22095 time to create 1 rle with old method : 0.02469038963317871 time for calcul the mask position with numpy : 0.05651116371154785 nb_pixel_total : 179695 time to create 1 rle with new method : 1.063065767288208 time for calcul the mask position with numpy : 0.052347660064697266 nb_pixel_total : 9696 time to create 1 rle with old method : 0.010567903518676758 time for calcul the mask position with numpy : 0.053170204162597656 nb_pixel_total : 393 time to create 1 rle with old method : 0.0004818439483642578 time for calcul the mask position with numpy : 0.05321455001831055 nb_pixel_total : 24008 time to create 1 rle with old method : 0.02627420425415039 time for calcul the mask position with numpy : 0.05475878715515137 nb_pixel_total : 17163 time to create 1 rle with old method : 0.027633190155029297 time for calcul the mask position with numpy : 0.05751490592956543 nb_pixel_total : 107629 time to create 1 rle with old method : 0.11917591094970703 time for calcul the mask position with numpy : 0.05323386192321777 nb_pixel_total : 1229 time to create 1 rle with old method : 0.0015559196472167969 time for calcul the mask position with numpy : 0.05428886413574219 nb_pixel_total : 73080 time to create 1 rle with old method : 0.1890430450439453 time for calcul the mask position with numpy : 0.0548555850982666 nb_pixel_total : 125345 time to create 1 rle with old method : 0.13853669166564941 time for calcul the mask position with numpy : 0.05878448486328125 nb_pixel_total : 338073 time to create 1 rle with new method : 1.2110252380371094 time for calcul the mask position with numpy : 0.05297517776489258 nb_pixel_total : 11760 time to create 1 rle with old method : 0.013083219528198242 time for calcul the mask position with numpy : 0.05363798141479492 nb_pixel_total : 28586 time to create 1 rle with old method : 0.030807018280029297 time for calcul the mask position with numpy : 0.054616451263427734 nb_pixel_total : 139054 time to create 1 rle with old method : 0.17338132858276367 time for calcul the mask position with numpy : 0.05570578575134277 nb_pixel_total : 13457 time to create 1 rle with old method : 0.015029430389404297 time for calcul the mask position with numpy : 0.054915666580200195 nb_pixel_total : 79280 time to create 1 rle with old method : 0.08730816841125488 time for calcul the mask position with numpy : 0.055151939392089844 nb_pixel_total : 55024 time to create 1 rle with old method : 0.06125521659851074 time for calcul the mask position with numpy : 0.05458211898803711 nb_pixel_total : 342 time to create 1 rle with old method : 0.0006666183471679688 time for calcul the mask position with numpy : 0.05481266975402832 nb_pixel_total : 38097 time to create 1 rle with old method : 0.041404008865356445 time for calcul the mask position with numpy : 0.05416107177734375 nb_pixel_total : 498 time to create 1 rle with old method : 0.0007231235504150391 time for calcul the mask position with numpy : 0.054712772369384766 nb_pixel_total : 2086 time to create 1 rle with old method : 0.002465963363647461 time for calcul the mask position with numpy : 0.05768179893493652 nb_pixel_total : 41258 time to create 1 rle with old method : 0.04928421974182129 time for calcul the mask position with numpy : 0.05591225624084473 nb_pixel_total : 2198 time to create 1 rle with old method : 0.002561807632446289 time for calcul the mask position with numpy : 0.0576319694519043 nb_pixel_total : 92876 time to create 1 rle with old method : 0.10269927978515625 time for calcul the mask position with numpy : 0.06090068817138672 nb_pixel_total : 26394 time to create 1 rle with old method : 0.030547380447387695 time for calcul the mask position with numpy : 0.05675315856933594 nb_pixel_total : 30572 time to create 1 rle with old method : 0.03402352333068848 time for calcul the mask position with numpy : 0.0578460693359375 nb_pixel_total : 151721 time to create 1 rle with new method : 1.2074949741363525 time for calcul the mask position with numpy : 0.05517101287841797 nb_pixel_total : 18329 time to create 1 rle with old method : 0.020412206649780273 time for calcul the mask position with numpy : 0.05452871322631836 nb_pixel_total : 49158 time to create 1 rle with old method : 0.0550079345703125 time for calcul the mask position with numpy : 0.05599713325500488 nb_pixel_total : 164288 time to create 1 rle with new method : 0.9750909805297852 time for calcul the mask position with numpy : 0.05374646186828613 nb_pixel_total : 588 time to create 1 rle with old method : 0.0008859634399414062 time for calcul the mask position with numpy : 0.05513310432434082 nb_pixel_total : 245960 time to create 1 rle with new method : 1.0001587867736816 time for calcul the mask position with numpy : 0.053319454193115234 nb_pixel_total : 22 time to create 1 rle with old method : 7.939338684082031e-05 time for calcul the mask position with numpy : 0.05347490310668945 nb_pixel_total : 44250 time to create 1 rle with old method : 0.048148393630981445 time for calcul the mask position with numpy : 0.05538582801818848 nb_pixel_total : 147612 time to create 1 rle with old method : 0.16320395469665527 time for calcul the mask position with numpy : 0.05458188056945801 nb_pixel_total : 60112 time to create 1 rle with old method : 0.06694269180297852 time for calcul the mask position with numpy : 0.054489850997924805 nb_pixel_total : 5615 time to create 1 rle with old method : 0.006413698196411133 time for calcul the mask position with numpy : 0.05419182777404785 nb_pixel_total : 13890 time to create 1 rle with old method : 0.01687479019165039 time for calcul the mask position with numpy : 0.0650177001953125 nb_pixel_total : 353145 time to create 1 rle with new method : 1.3168525695800781 time for calcul the mask position with numpy : 0.05425763130187988 nb_pixel_total : 4795 time to create 1 rle with old method : 0.005856752395629883 time for calcul the mask position with numpy : 0.05566287040710449 nb_pixel_total : 139864 time to create 1 rle with old method : 0.15501880645751953 time for calcul the mask position with numpy : 0.056969642639160156 nb_pixel_total : 3 time to create 1 rle with old method : 0.00015211105346679688 time for calcul the mask position with numpy : 0.061414480209350586 nb_pixel_total : 36558 time to create 1 rle with old method : 0.041515350341796875 time for calcul the mask position with numpy : 0.05542874336242676 nb_pixel_total : 28749 time to create 1 rle with old method : 0.03226947784423828 time for calcul the mask position with numpy : 0.055388450622558594 nb_pixel_total : 33951 time to create 1 rle with old method : 0.03742527961730957 time for calcul the mask position with numpy : 0.05417799949645996 nb_pixel_total : 38951 time to create 1 rle with old method : 0.04273104667663574 time for calcul the mask position with numpy : 0.05507707595825195 nb_pixel_total : 38259 time to create 1 rle with old method : 0.04160284996032715 time for calcul the mask position with numpy : 0.08954405784606934 nb_pixel_total : 1037311 time to create 1 rle with new method : 1.171365737915039 time for calcul the mask position with numpy : 0.05515003204345703 nb_pixel_total : 18227 time to create 1 rle with old method : 0.023355960845947266 time for calcul the mask position with numpy : 0.06485462188720703 nb_pixel_total : 82957 time to create 1 rle with old method : 0.0873873233795166 time for calcul the mask position with numpy : 0.05266094207763672 nb_pixel_total : 144883 time to create 1 rle with old method : 0.15061163902282715 time for calcul the mask position with numpy : 0.05187249183654785 nb_pixel_total : 40261 time to create 1 rle with old method : 0.043744564056396484 time for calcul the mask position with numpy : 0.05597639083862305 nb_pixel_total : 161284 time to create 1 rle with new method : 1.4125149250030518 time for calcul the mask position with numpy : 0.053633928298950195 nb_pixel_total : 74965 time to create 1 rle with old method : 0.0778958797454834 time for calcul the mask position with numpy : 0.052251577377319336 nb_pixel_total : 107610 time to create 1 rle with old method : 0.11414146423339844 time for calcul the mask position with numpy : 0.05432915687561035 nb_pixel_total : 240170 time to create 1 rle with new method : 1.3096859455108643 time for calcul the mask position with numpy : 0.06583905220031738 nb_pixel_total : 729855 time to create 1 rle with new method : 1.0593461990356445 time for calcul the mask position with numpy : 0.05084824562072754 nb_pixel_total : 5086 time to create 1 rle with old method : 0.006202220916748047 time for calcul the mask position with numpy : 0.054369211196899414 nb_pixel_total : 308259 time to create 1 rle with new method : 1.6456849575042725 time for calcul the mask position with numpy : 0.054414987564086914 nb_pixel_total : 144158 time to create 1 rle with old method : 0.1495344638824463 time for calcul the mask position with numpy : 0.0518953800201416 nb_pixel_total : 142781 time to create 1 rle with old method : 0.14981389045715332 time for calcul the mask position with numpy : 0.05096626281738281 nb_pixel_total : 711 time to create 1 rle with old method : 0.0008962154388427734 time for calcul the mask position with numpy : 0.05653238296508789 nb_pixel_total : 4208 time to create 1 rle with old method : 0.004772186279296875 time for calcul the mask position with numpy : 0.05417895317077637 nb_pixel_total : 25915 time to create 1 rle with old method : 0.028829574584960938 time for calcul the mask position with numpy : 0.05451250076293945 nb_pixel_total : 437 time to create 1 rle with old method : 0.0007548332214355469 time for calcul the mask position with numpy : 0.058133840560913086 nb_pixel_total : 431621 time to create 1 rle with new method : 1.3108725547790527 time for calcul the mask position with numpy : 0.05220198631286621 nb_pixel_total : 15709 time to create 1 rle with old method : 0.016904592514038086 time for calcul the mask position with numpy : 0.051427364349365234 nb_pixel_total : 139409 time to create 1 rle with old method : 0.1447737216949463 time for calcul the mask position with numpy : 0.050650835037231445 nb_pixel_total : 2506 time to create 1 rle with old method : 0.0033957958221435547 time for calcul the mask position with numpy : 0.0560152530670166 nb_pixel_total : 84508 time to create 1 rle with old method : 0.10570192337036133 time for calcul the mask position with numpy : 0.051080942153930664 nb_pixel_total : 169758 time to create 1 rle with new method : 1.3672654628753662 time for calcul the mask position with numpy : 0.0509343147277832 nb_pixel_total : 18622 time to create 1 rle with old method : 0.022127151489257812 time for calcul the mask position with numpy : 0.06650757789611816 nb_pixel_total : 186913 time to create 1 rle with new method : 0.9172534942626953 time for calcul the mask position with numpy : 0.052359580993652344 nb_pixel_total : 118136 time to create 1 rle with old method : 0.12449526786804199 time for calcul the mask position with numpy : 0.05305790901184082 nb_pixel_total : 161643 time to create 1 rle with new method : 0.8844411373138428 time for calcul the mask position with numpy : 0.05131793022155762 nb_pixel_total : 24831 time to create 1 rle with old method : 0.02669978141784668 time for calcul the mask position with numpy : 0.051796674728393555 nb_pixel_total : 29871 time to create 1 rle with old method : 0.03164553642272949 time for calcul the mask position with numpy : 0.053869009017944336 nb_pixel_total : 185609 time to create 1 rle with new method : 0.7126760482788086 time for calcul the mask position with numpy : 0.053426504135131836 nb_pixel_total : 252223 time to create 1 rle with new method : 0.8225736618041992 time for calcul the mask position with numpy : 0.05414104461669922 nb_pixel_total : 59068 time to create 1 rle with old method : 0.09039306640625 time for calcul the mask position with numpy : 0.05465078353881836 nb_pixel_total : 5360 time to create 1 rle with old method : 0.006288051605224609 time for calcul the mask position with numpy : 0.05200386047363281 nb_pixel_total : 399 time to create 1 rle with old method : 0.0007228851318359375 time for calcul the mask position with numpy : 0.0531003475189209 nb_pixel_total : 5117 time to create 1 rle with old method : 0.0058209896087646484 time for calcul the mask position with numpy : 0.05402994155883789 nb_pixel_total : 75895 time to create 1 rle with old method : 0.08288073539733887 time for calcul the mask position with numpy : 0.05562138557434082 nb_pixel_total : 44375 time to create 1 rle with old method : 0.05909299850463867 time for calcul the mask position with numpy : 0.05427956581115723 nb_pixel_total : 1836 time to create 1 rle with old method : 0.0021970272064208984 time for calcul the mask position with numpy : 0.08012795448303223 nb_pixel_total : 26828 time to create 1 rle with old method : 0.029779672622680664 time for calcul the mask position with numpy : 0.05437183380126953 nb_pixel_total : 38711 time to create 1 rle with old method : 0.042135000228881836 time for calcul the mask position with numpy : 0.052849531173706055 nb_pixel_total : 16235 time to create 1 rle with old method : 0.017406940460205078 create new chi : 31.999165296554565 time to delete rle : 0.007059574127197266 batch 1 Loaded 94 chid ids of type : 4855 Number RLEs to save : 64147 TO DO : save crop sub photo not yet done ! save time : 11.022225618362427 nb_obj : 104 nb_hashtags : 12 time to prepare the origin masks : 88.59349465370178 time for calcul the mask position with numpy : 0.34279417991638184 nb_pixel_total : 3755132 time to create 1 rle with new method : 1.6264674663543701 time for calcul the mask position with numpy : 0.05186200141906738 nb_pixel_total : 17750 time to create 1 rle with old method : 0.019086599349975586 time for calcul the mask position with numpy : 0.05363130569458008 nb_pixel_total : 38452 time to create 1 rle with old method : 0.041608572006225586 time for calcul the mask position with numpy : 0.05558061599731445 nb_pixel_total : 158825 time to create 1 rle with new method : 1.8500983715057373 time for calcul the mask position with numpy : 0.053418636322021484 nb_pixel_total : 1166 time to create 1 rle with old method : 0.0014884471893310547 time for calcul the mask position with numpy : 0.05304145812988281 nb_pixel_total : 3866 time to create 1 rle with old method : 0.0042591094970703125 time for calcul the mask position with numpy : 0.053307294845581055 nb_pixel_total : 10781 time to create 1 rle with old method : 0.011858463287353516 time for calcul the mask position with numpy : 0.05674028396606445 nb_pixel_total : 238192 time to create 1 rle with new method : 1.0489647388458252 time for calcul the mask position with numpy : 0.05413460731506348 nb_pixel_total : 18555 time to create 1 rle with old method : 0.020658016204833984 time for calcul the mask position with numpy : 0.05401277542114258 nb_pixel_total : 176932 time to create 1 rle with new method : 1.5013985633850098 time for calcul the mask position with numpy : 0.05409383773803711 nb_pixel_total : 6603 time to create 1 rle with old method : 0.010770082473754883 time for calcul the mask position with numpy : 0.06051969528198242 nb_pixel_total : 9997 time to create 1 rle with old method : 0.012037515640258789 time for calcul the mask position with numpy : 0.05464482307434082 nb_pixel_total : 32267 time to create 1 rle with old method : 0.03439044952392578 time for calcul the mask position with numpy : 0.05597710609436035 nb_pixel_total : 376768 time to create 1 rle with new method : 1.3595731258392334 time for calcul the mask position with numpy : 0.061484336853027344 nb_pixel_total : 10 time to create 1 rle with old method : 5.078315734863281e-05 time for calcul the mask position with numpy : 0.05622720718383789 nb_pixel_total : 203876 time to create 1 rle with new method : 1.4218735694885254 time for calcul the mask position with numpy : 0.052693843841552734 nb_pixel_total : 25144 time to create 1 rle with old method : 0.026524066925048828 time for calcul the mask position with numpy : 0.05271506309509277 nb_pixel_total : 123428 time to create 1 rle with old method : 0.12833833694458008 time for calcul the mask position with numpy : 0.052661895751953125 nb_pixel_total : 2834 time to create 1 rle with old method : 0.0033414363861083984 time for calcul the mask position with numpy : 0.05310225486755371 nb_pixel_total : 90596 time to create 1 rle with old method : 0.09572243690490723 time for calcul the mask position with numpy : 0.05347323417663574 nb_pixel_total : 202655 time to create 1 rle with new method : 1.8046298027038574 time for calcul the mask position with numpy : 0.05465579032897949 nb_pixel_total : 159565 time to create 1 rle with new method : 1.5946764945983887 time for calcul the mask position with numpy : 0.054819345474243164 nb_pixel_total : 95511 time to create 1 rle with old method : 0.10469651222229004 time for calcul the mask position with numpy : 0.05397796630859375 nb_pixel_total : 16513 time to create 1 rle with old method : 0.0182650089263916 time for calcul the mask position with numpy : 0.05551552772521973 nb_pixel_total : 209290 time to create 1 rle with new method : 1.0660552978515625 time for calcul the mask position with numpy : 0.054840087890625 nb_pixel_total : 70188 time to create 1 rle with old method : 0.08305740356445312 time for calcul the mask position with numpy : 0.054355621337890625 nb_pixel_total : 45892 time to create 1 rle with old method : 0.05096697807312012 time for calcul the mask position with numpy : 0.06298995018005371 nb_pixel_total : 76352 time to create 1 rle with old method : 0.08415555953979492 time for calcul the mask position with numpy : 0.05454874038696289 nb_pixel_total : 10028 time to create 1 rle with old method : 0.011368036270141602 time for calcul the mask position with numpy : 0.0569455623626709 nb_pixel_total : 58643 time to create 1 rle with old method : 0.06439900398254395 time for calcul the mask position with numpy : 0.0537104606628418 nb_pixel_total : 1592 time to create 1 rle with old method : 0.002197742462158203 time for calcul the mask position with numpy : 0.05387234687805176 nb_pixel_total : 108165 time to create 1 rle with old method : 0.11612820625305176 time for calcul the mask position with numpy : 0.05420804023742676 nb_pixel_total : 15516 time to create 1 rle with old method : 0.017931461334228516 time for calcul the mask position with numpy : 0.05522632598876953 nb_pixel_total : 90060 time to create 1 rle with old method : 0.0999908447265625 time for calcul the mask position with numpy : 0.054720401763916016 nb_pixel_total : 75681 time to create 1 rle with old method : 0.08355879783630371 time for calcul the mask position with numpy : 0.05439448356628418 nb_pixel_total : 64858 time to create 1 rle with old method : 0.07293295860290527 time for calcul the mask position with numpy : 0.0663461685180664 nb_pixel_total : 615459 time to create 1 rle with new method : 1.1154792308807373 time for calcul the mask position with numpy : 0.0519556999206543 nb_pixel_total : 9615 time to create 1 rle with old method : 0.010211944580078125 time for calcul the mask position with numpy : 0.05574989318847656 nb_pixel_total : 115221 time to create 1 rle with old method : 0.12459564208984375 time for calcul the mask position with numpy : 0.05208230018615723 nb_pixel_total : 59745 time to create 1 rle with old method : 0.06406712532043457 time for calcul the mask position with numpy : 0.052078962326049805 nb_pixel_total : 452 time to create 1 rle with old method : 0.0009098052978515625 time for calcul the mask position with numpy : 0.05454087257385254 nb_pixel_total : 50203 time to create 1 rle with old method : 0.05428791046142578 time for calcul the mask position with numpy : 0.05188560485839844 nb_pixel_total : 10426 time to create 1 rle with old method : 0.011653900146484375 time for calcul the mask position with numpy : 0.05233573913574219 nb_pixel_total : 21181 time to create 1 rle with old method : 0.024550914764404297 time for calcul the mask position with numpy : 0.0528101921081543 nb_pixel_total : 50638 time to create 1 rle with old method : 0.05618619918823242 time for calcul the mask position with numpy : 0.05199933052062988 nb_pixel_total : 80515 time to create 1 rle with old method : 0.0861055850982666 time for calcul the mask position with numpy : 0.052188873291015625 nb_pixel_total : 37664 time to create 1 rle with old method : 0.0401151180267334 time for calcul the mask position with numpy : 0.0531308650970459 nb_pixel_total : 133525 time to create 1 rle with old method : 0.14453959465026855 time for calcul the mask position with numpy : 0.05343747138977051 nb_pixel_total : 38038 time to create 1 rle with old method : 0.042144775390625 time for calcul the mask position with numpy : 0.05403780937194824 nb_pixel_total : 168238 time to create 1 rle with new method : 1.1913864612579346 time for calcul the mask position with numpy : 0.054302215576171875 nb_pixel_total : 31998 time to create 1 rle with old method : 0.036298274993896484 time for calcul the mask position with numpy : 0.05727696418762207 nb_pixel_total : 530580 time to create 1 rle with new method : 1.3897526264190674 time for calcul the mask position with numpy : 0.05470776557922363 nb_pixel_total : 29230 time to create 1 rle with old method : 0.032340049743652344 time for calcul the mask position with numpy : 0.055103302001953125 nb_pixel_total : 92759 time to create 1 rle with old method : 0.10271739959716797 time for calcul the mask position with numpy : 0.056081533432006836 nb_pixel_total : 151114 time to create 1 rle with new method : 1.5413625240325928 time for calcul the mask position with numpy : 0.0530390739440918 nb_pixel_total : 45647 time to create 1 rle with old method : 0.04954862594604492 time for calcul the mask position with numpy : 0.057195425033569336 nb_pixel_total : 89714 time to create 1 rle with old method : 0.10482048988342285 time for calcul the mask position with numpy : 0.05505657196044922 nb_pixel_total : 35361 time to create 1 rle with old method : 0.03980755805969238 time for calcul the mask position with numpy : 0.05614280700683594 nb_pixel_total : 27389 time to create 1 rle with old method : 0.03072190284729004 time for calcul the mask position with numpy : 0.056973934173583984 nb_pixel_total : 64611 time to create 1 rle with old method : 0.07124209403991699 time for calcul the mask position with numpy : 0.058147430419921875 nb_pixel_total : 206609 time to create 1 rle with new method : 1.7882940769195557 time for calcul the mask position with numpy : 0.053288936614990234 nb_pixel_total : 83477 time to create 1 rle with old method : 0.09462237358093262 time for calcul the mask position with numpy : 0.06581306457519531 nb_pixel_total : 427382 time to create 1 rle with new method : 1.1737654209136963 time for calcul the mask position with numpy : 0.05493283271789551 nb_pixel_total : 58211 time to create 1 rle with old method : 0.06354856491088867 time for calcul the mask position with numpy : 0.05256843566894531 nb_pixel_total : 131447 time to create 1 rle with old method : 0.17301154136657715 time for calcul the mask position with numpy : 0.055470943450927734 nb_pixel_total : 37539 time to create 1 rle with old method : 0.04299163818359375 time for calcul the mask position with numpy : 0.05412435531616211 nb_pixel_total : 51447 time to create 1 rle with old method : 0.05521798133850098 time for calcul the mask position with numpy : 0.0503995418548584 nb_pixel_total : 7434 time to create 1 rle with old method : 0.009097099304199219 time for calcul the mask position with numpy : 0.05126619338989258 nb_pixel_total : 160 time to create 1 rle with old method : 0.0003809928894042969 time for calcul the mask position with numpy : 0.053850412368774414 nb_pixel_total : 242292 time to create 1 rle with new method : 1.4771904945373535 time for calcul the mask position with numpy : 0.051036834716796875 nb_pixel_total : 7968 time to create 1 rle with old method : 0.010220527648925781 time for calcul the mask position with numpy : 0.05176138877868652 nb_pixel_total : 195638 time to create 1 rle with new method : 1.4892778396606445 time for calcul the mask position with numpy : 0.054205894470214844 nb_pixel_total : 7019 time to create 1 rle with old method : 0.007657051086425781 time for calcul the mask position with numpy : 0.05167102813720703 nb_pixel_total : 100193 time to create 1 rle with old method : 0.104095458984375 time for calcul the mask position with numpy : 0.05721879005432129 nb_pixel_total : 26755 time to create 1 rle with old method : 0.027447223663330078 time for calcul the mask position with numpy : 0.06980538368225098 nb_pixel_total : 127177 time to create 1 rle with old method : 0.14341521263122559 time for calcul the mask position with numpy : 0.05851030349731445 nb_pixel_total : 506671 time to create 1 rle with new method : 1.2530632019042969 time for calcul the mask position with numpy : 0.054166316986083984 nb_pixel_total : 131337 time to create 1 rle with old method : 0.14380598068237305 time for calcul the mask position with numpy : 0.054094791412353516 nb_pixel_total : 425 time to create 1 rle with old method : 0.0006589889526367188 time for calcul the mask position with numpy : 0.05379033088684082 nb_pixel_total : 35683 time to create 1 rle with old method : 0.05734419822692871 time for calcul the mask position with numpy : 0.05491805076599121 nb_pixel_total : 6914 time to create 1 rle with old method : 0.008641719818115234 time for calcul the mask position with numpy : 0.058257102966308594 nb_pixel_total : 11090 time to create 1 rle with old method : 0.0192568302154541 time for calcul the mask position with numpy : 0.0590205192565918 nb_pixel_total : 2299 time to create 1 rle with old method : 0.0031974315643310547 time for calcul the mask position with numpy : 0.06029152870178223 nb_pixel_total : 653578 time to create 1 rle with new method : 1.5904664993286133 time for calcul the mask position with numpy : 0.05064868927001953 nb_pixel_total : 37796 time to create 1 rle with old method : 0.038837432861328125 time for calcul the mask position with numpy : 0.05105304718017578 nb_pixel_total : 46859 time to create 1 rle with old method : 0.048088788986206055 time for calcul the mask position with numpy : 0.054151296615600586 nb_pixel_total : 71942 time to create 1 rle with old method : 0.09442520141601562 time for calcul the mask position with numpy : 0.05297732353210449 nb_pixel_total : 482 time to create 1 rle with old method : 0.0007033348083496094 time for calcul the mask position with numpy : 0.05066370964050293 nb_pixel_total : 30979 time to create 1 rle with old method : 0.03208017349243164 time for calcul the mask position with numpy : 0.05233359336853027 nb_pixel_total : 51187 time to create 1 rle with old method : 0.053750038146972656 time for calcul the mask position with numpy : 0.05408978462219238 nb_pixel_total : 111416 time to create 1 rle with old method : 0.11880922317504883 time for calcul the mask position with numpy : 0.05246758460998535 nb_pixel_total : 4750 time to create 1 rle with old method : 0.005558967590332031 time for calcul the mask position with numpy : 0.05434918403625488 nb_pixel_total : 82352 time to create 1 rle with old method : 0.1021585464477539 time for calcul the mask position with numpy : 0.057463645935058594 nb_pixel_total : 154091 time to create 1 rle with new method : 1.4556336402893066 time for calcul the mask position with numpy : 0.05417060852050781 nb_pixel_total : 33225 time to create 1 rle with old method : 0.03766775131225586 time for calcul the mask position with numpy : 0.054334402084350586 nb_pixel_total : 21323 time to create 1 rle with old method : 0.023264408111572266 time for calcul the mask position with numpy : 0.05118894577026367 nb_pixel_total : 59719 time to create 1 rle with old method : 0.0619661808013916 time for calcul the mask position with numpy : 0.05090594291687012 nb_pixel_total : 1787 time to create 1 rle with old method : 0.002061128616333008 time for calcul the mask position with numpy : 0.051583290100097656 nb_pixel_total : 38419 time to create 1 rle with old method : 0.039698123931884766 time for calcul the mask position with numpy : 0.0513463020324707 nb_pixel_total : 33244 time to create 1 rle with old method : 0.03438210487365723 time for calcul the mask position with numpy : 0.05060720443725586 nb_pixel_total : 103 time to create 1 rle with old method : 0.00017762184143066406 time for calcul the mask position with numpy : 0.054280757904052734 nb_pixel_total : 35162 time to create 1 rle with old method : 0.0369420051574707 time for calcul the mask position with numpy : 0.05208849906921387 nb_pixel_total : 3617 time to create 1 rle with old method : 0.004740476608276367 time for calcul the mask position with numpy : 0.06133222579956055 nb_pixel_total : 16768 time to create 1 rle with old method : 0.018392086029052734 time for calcul the mask position with numpy : 0.05290699005126953 nb_pixel_total : 4228 time to create 1 rle with old method : 0.004740238189697266 create new chi : 40.01256275177002 time to delete rle : 0.01038813591003418 batch 1 Loaded 105 chid ids of type : 4855 Number RLEs to save : 74003 TO DO : save crop sub photo not yet done ! save time : 12.045263528823853 nb_obj : 9 nb_hashtags : 6 time to prepare the origin masks : 28.926810264587402 time for calcul the mask position with numpy : 0.1047215461730957 nb_pixel_total : 1225845 time to create 1 rle with new method : 2.027662754058838 time for calcul the mask position with numpy : 0.07643795013427734 nb_pixel_total : 31704 time to create 1 rle with old method : 0.05431199073791504 time for calcul the mask position with numpy : 0.08282876014709473 nb_pixel_total : 49156 time to create 1 rle with old method : 0.06359362602233887 time for calcul the mask position with numpy : 0.08331561088562012 nb_pixel_total : 962154 time to create 1 rle with new method : 1.6179008483886719 time for calcul the mask position with numpy : 0.08348774909973145 nb_pixel_total : 1088714 time to create 1 rle with new method : 1.6872498989105225 time for calcul the mask position with numpy : 0.07178926467895508 nb_pixel_total : 341759 time to create 1 rle with new method : 1.1555533409118652 time for calcul the mask position with numpy : 0.06786155700683594 nb_pixel_total : 112877 time to create 1 rle with old method : 0.12968087196350098 time for calcul the mask position with numpy : 0.09494805335998535 nb_pixel_total : 1468405 time to create 1 rle with new method : 1.439610481262207 time for calcul the mask position with numpy : 0.05880475044250488 nb_pixel_total : 93572 time to create 1 rle with old method : 0.10271477699279785 time for calcul the mask position with numpy : 0.8836948871612549 nb_pixel_total : 7605014 time to create 1 rle with new method : 1.6776692867279053 create new chi : 11.903194665908813 time to delete rle : 0.003637075424194336 batch 1 Loaded 10 chid ids of type : 4855 Number RLEs to save : 28067 TO DO : save crop sub photo not yet done ! save time : 6.211106538772583 map_output_result : {1349034678: (0.3646508088794511, 'Should be the crop_list due to order', 0.3406982072077761), 1349034592: (0.3646508088794511, 'Should be the crop_list due to order', 0.47155843895107197), 1349034569: (0.3646508088794511, 'Should be the crop_list due to order', 0.18099986629088857), 1349034565: (0.3646508088794511, 'Should be the crop_list due to order', 0.41677085851708157), 1349034563: (0.3646508088794511, 'Should be the crop_list due to order', 0.23050769164779542), 1349034559: (0.3646508088794511, 'Should be the crop_list due to order', 0.2804957317371153), 1349034537: (0.3646508088794511, 'Should be the crop_list due to order', 0.30705909844292817), 1349034371: (0.3646508088794511, 'Should be the crop_list due to order', 0.2549626571569841), 1349034367: (0.3646508088794511, 'Should be the crop_list due to order', 0.2517503941938546), 1349034362: (0.3646508088794511, 'Should be the crop_list due to order', 0.911705144649015)} 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 [1349034678, 1349034592, 1349034569, 1349034565, 1349034563, 1349034559, 1349034537, 1349034371, 1349034367, 1349034362] Looping around the photos to save general results len do output : 10 /1349034678.Didn't retrieve data . /1349034592.Didn't retrieve data . /1349034569.Didn't retrieve data . /1349034565.Didn't retrieve data . /1349034563.Didn't retrieve data . /1349034559.Didn't retrieve data . /1349034537.Didn't retrieve data . /1349034371.Didn't retrieve data . /1349034367.Didn't retrieve data . /1349034362.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 ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034678', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034592', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034569', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034565', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034563', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034559', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034537', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034371', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034367', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034362', None, None, None, None, None, '2710348') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 30 time used for this insertion : 0.018781423568725586 save_final save missing photos in datou_result : time spend for datou_step_exec : 1244.252150774002 time spend to save output : 0.03938436508178711 total time spend for step 5 : 1244.2915351390839 step6:crop_condition Tue Apr 1 02:15:43 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 : 4855 Loading chi in step crop for list_pids : 10 ! batch 1 Loaded 815 chid ids of type : 4855 begin to crop the class : papier param for this class : {'min_score': 0.1} 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 ! map_result returned by crop_photo_return_map_crop : length : 101 About to insert : list_path_to_insert length 101 new photo from crops ! About to upload 101 photos upload in portfolio : 3015255 init cache_photo without model_param we have 101 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743466653_2181210 we have uploaded 101 photos in the portfolio 3015255 time of upload the photos Elapsed time : 44.290395736694336 we have finished the crop for the class : papier begin to crop the class : carton param for this class : {'min_score': 0.1} filtre for class : carton hashtag_id of this class : 492774966 Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! 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 : 156 About to insert : list_path_to_insert length 156 new photo from crops ! About to upload 156 photos upload in portfolio : 3015255 init cache_photo without model_param we have 156 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743466801_2181210 we have uploaded 156 photos in the portfolio 3015255 time of upload the photos Elapsed time : 64.03202819824219 we have finished the crop for the class : carton begin to crop the class : metal param for this class : {'min_score': 0.1} filtre for class : metal hashtag_id of this class : 492628673 Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! 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 : 67 About to insert : list_path_to_insert length 67 new photo from crops ! About to upload 67 photos upload in portfolio : 3015255 init cache_photo without model_param we have 67 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743466890_2181210 we have uploaded 67 photos in the portfolio 3015255 time of upload the photos Elapsed time : 27.893783569335938 we have finished the crop for the class : metal begin to crop the class : pet_clair param for this class : {'min_score': 0.1} 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 ! Next one ! Next one ! 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 : 44 About to insert : list_path_to_insert length 44 new photo from crops ! About to upload 44 photos upload in portfolio : 3015255 init cache_photo without model_param we have 44 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743466942_2181210 we have uploaded 44 photos in the portfolio 3015255 time of upload the photos Elapsed time : 13.64730167388916 we have finished the crop for the class : pet_clair begin to crop the class : pehd param for this class : {'min_score': 0.1} filtre for class : pehd hashtag_id of this class : 628944319 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 : 8 About to insert : list_path_to_insert length 8 new photo from crops ! About to upload 8 photos upload in portfolio : 3015255 init cache_photo without model_param we have 8 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743466966_2181210 we have uploaded 8 photos in the portfolio 3015255 time of upload the photos Elapsed time : 2.6973042488098145 we have finished the crop for the class : pehd begin to crop the class : pet_fonce param for this class : {'min_score': 0.1} filtre for class : pet_fonce hashtag_id of this class : 2107755900 Next one ! map_result returned by crop_photo_return_map_crop : length : 1 About to insert : list_path_to_insert length 1 new photo from crops ! About to upload 1 photos upload in portfolio : 3015255 init cache_photo without model_param we have 1 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743466976_2181210 we have uploaded 1 photos in the portfolio 3015255 time of upload the photos Elapsed time : 0.6488907337188721 we have finished the crop for the class : pet_fonce begin to crop the class : sac param for this class : {'min_score': 0.1} filtre for class : sac hashtag_id of this class : 492618350 Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! 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 : 36 About to insert : list_path_to_insert length 36 new photo from crops ! About to upload 36 photos upload in portfolio : 3015255 init cache_photo without model_param we have 36 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743467004_2181210 we have uploaded 36 photos in the portfolio 3015255 time of upload the photos Elapsed time : 13.621383666992188 we have finished the crop for the class : sac begin to crop the class : textiles param for this class : {'min_score': 0.1} filtre for class : textiles hashtag_id of this class : 494789423 Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! map_result returned by crop_photo_return_map_crop : length : 6 About to insert : list_path_to_insert length 6 new photo from crops ! About to upload 6 photos upload in portfolio : 3015255 init cache_photo without model_param we have 6 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743467024_2181210 we have uploaded 6 photos in the portfolio 3015255 time of upload the photos Elapsed time : 2.25637149810791 we have finished the crop for the class : textiles begin to crop the class : verre param for this class : {'min_score': 0.1} filtre for class : verre hashtag_id of this class : 492631919 Next one ! map_result returned by crop_photo_return_map_crop : length : 1 About to insert : list_path_to_insert length 1 new photo from crops ! About to upload 1 photos upload in portfolio : 3015255 init cache_photo without model_param we have 1 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743467032_2181210 we have uploaded 1 photos in the portfolio 3015255 time of upload the photos Elapsed time : 0.5269739627838135 we have finished the crop for the class : verre begin to crop the class : organique param for this class : {'min_score': 0.1} filtre for class : organique hashtag_id of this class : 530726390 begin to crop the class : dasri param for this class : {'min_score': 0.1} filtre for class : dasri hashtag_id of this class : 1608424396 begin to crop the class : masque param for this class : {'min_score': 0.1} filtre for class : masque hashtag_id of this class : 492626781 begin to crop the class : encombrant param for this class : {'min_score': 0.1} filtre for class : encombrant hashtag_id of this class : 605975549 map_result returned by crop_photo_return_map_crop : length : 0 About to insert : list_path_to_insert length 0 new photo from crops ! About to upload 0 photos WARNING : list_path_to_insert is empty, cannot upload ! we have finished the crop for the class : encombrant begin to crop the class : autre param for this class : {'min_score': 0.1} filtre for class : autre hashtag_id of this class : 494826614 Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! 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 : 86 About to insert : list_path_to_insert length 86 new photo from crops ! About to upload 86 photos upload in portfolio : 3015255 init cache_photo without model_param we have 86 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743467122_2181210 we have uploaded 86 photos in the portfolio 3015255 time of upload the photos Elapsed time : 27.245588064193726 we have finished the crop for the class : autre begin to crop the class : autre_emballage param for this class : {'min_score': 0.1} filtre for class : autre_emballage hashtag_id of this class : 2107760328 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 : 3015255 init cache_photo without model_param we have 2 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743467156_2181210 we have uploaded 2 photos in the portfolio 3015255 time of upload the photos Elapsed time : 1.8451392650604248 we have finished the crop for the class : autre_emballage begin to crop the class : autre_non_emballage param for this class : {'min_score': 0.1} filtre for class : autre_non_emballage hashtag_id of this class : 2107760329 Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! 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 : 23 About to insert : list_path_to_insert length 23 new photo from crops ! About to upload 23 photos upload in portfolio : 3015255 init cache_photo without model_param we have 23 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743467171_2181210 we have uploaded 23 photos in the portfolio 3015255 time of upload the photos Elapsed time : 10.448838710784912 we have finished the crop for the class : autre_non_emballage begin to crop the class : environnement param for this class : {'min_score': 0.1} filtre for class : environnement hashtag_id of this class : 493012381 Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! Next one ! 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 : 66 About to insert : list_path_to_insert length 66 new photo from crops ! About to upload 66 photos upload in portfolio : 3015255 init cache_photo without model_param we have 66 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1743467280_2181210 we have uploaded 66 photos in the portfolio 3015255 time of upload the photos Elapsed time : 20.711185932159424 we have finished the crop for the class : environnement delete rles for these photos Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : crop_condition we use saveGeneral [1349034678, 1349034592, 1349034569, 1349034565, 1349034563, 1349034559, 1349034537, 1349034371, 1349034367, 1349034362] Looping around the photos to save general results len do output : 597 /1349174287Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174288Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174289Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174290Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174291Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174292Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174293Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174294Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174295Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174296Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174297Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174298Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174299Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174300Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174301Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174302Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174303Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174304Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174305Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174306Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174307Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174308Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174309Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174310Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174311Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174312Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174313Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174314Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174315Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174316Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174317Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174318Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174319Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174320Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174321Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174322Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174325Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174328Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174331Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174334Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174337Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174341Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174344Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174346Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174347Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174348Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174349Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174350Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174351Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174352Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174353Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174354Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174355Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174356Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174357Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174358Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174359Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174360Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174361Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174362Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174363Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174364Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174365Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174366Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174367Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174368Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174369Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174370Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174372Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174373Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174374Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174376Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174377Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174378Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174380Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174381Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174382Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174384Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174385Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174386Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174388Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174389Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174390Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174392Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174393Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174394Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174396Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174397Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174398Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174400Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174401Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174402Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174404Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174405Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174406Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174408Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174409Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174410Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174412Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174413Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349174415Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175499Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175500Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175501Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175502Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175503Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175504Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175506Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175508Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175509Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175511Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175512Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175513Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175515Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175516Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175517Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175519Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175520Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175521Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175522Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175523Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175524Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175525Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175526Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175527Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175528Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175529Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175530Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175532Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175533Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175534Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175535Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175536Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175537Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175538Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175539Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175540Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175542Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175543Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175544Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175546Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175547Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175553Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175554Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175555Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175556Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175557Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175558Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175559Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175560Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175561Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175562Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175563Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175564Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175565Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175566Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175567Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175568Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175569Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175570Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175571Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175572Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175573Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175574Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175575Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175576Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175577Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175579Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175580Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349175581Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . 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retrieve data . /1349176628Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349176629Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349176630Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349176633Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349176634Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349176641Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349176642Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349176643Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349176644Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349176645Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349176646Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349176647Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349176648Didn't retrieve data .Didn't retrieve 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retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177008Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177009Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177011Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177012Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177014Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177015Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177016Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177018Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177019Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177020Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177022Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177023Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177024Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177026Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177027Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177028Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177030Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177031Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177032Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177034Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177035Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177037Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177038Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177039Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177040Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177041Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177042Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177043Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177044Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177045Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177046Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177047Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177048Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177049Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177050Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177051Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177052Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177053Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177054Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177055Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177056Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177057Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177058Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177059Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177061Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177063Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177066Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177068Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177070Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177072Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177074Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177076Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177078Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177080Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1349177083Didn'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 ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034678', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034592', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034569', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034565', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034563', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034559', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034537', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034371', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034367', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034362', None, None, None, None, None, '2710348') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 1801 time used for this insertion : 0.25466299057006836 save_final save missing photos in datou_result : time spend for datou_step_exec : 779.66961145401 time spend to save output : 0.44243478775024414 total time spend for step 6 : 780.1120462417603 step7:ventilate_hashtags_in_portfolio Tue Apr 1 02:28:43 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 : 21921448 get user id for portfolio 21921448 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`=21921448 AND mptpi.`type`=4855 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','autre','flux_dev','mal_croppe','flou','film_dev_souple','sac_om_plein')) AND mptpi.`min_score`=0.1 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`=21921448 AND mptpi.`type`=4855 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','autre','flux_dev','mal_croppe','flou','film_dev_souple','sac_om_plein')) AND mptpi.`min_score`=0.1 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") 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`=21921448 AND mptpi.`type`=4856 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','autre','flux_dev','mal_croppe','flou','film_dev_souple','sac_om_plein')) AND mptpi.`min_score`=0.1 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`=21921448 AND mptpi.`type`=4856 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('papier','carton','metal','pet_clair','pehd','pet_fonce','pet_opaque','barquette_opaque','film_plastique','ela','sac','textiles','verre','organique','dasri','masque','encombrant','autre_emballage','autre_non_emballage','environnement','autre','flux_dev','mal_croppe','flou','film_dev_souple','sac_om_plein')) AND mptpi.`min_score`=0.1 To do lien utilise dans velours : https://www.fotonower.com/velours/21931197,21931198,21931199,21931200,21931201,21931206,21931208,21931209,21931210,21931211,21931212,21931213,21931215,21931216,21931217,21931218,21931219,21931220,21931221,21931222?tags=papier,carton,metal,pet_clair,pehd,ela,textiles,verre,organique,dasri,masque,encombrant,autre_non_emballage,environnement,autre,flux_dev,mal_croppe,flou,film_dev_souple,sac_om_plein&datou_id_consolidate=4742&port_consolidate=21921448 Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral [1349034678, 1349034592, 1349034569, 1349034565, 1349034563, 1349034559, 1349034537, 1349034371, 1349034367, 1349034362] Looping around the photos to save general results len do output : 1 /21921448. 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 ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034678', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034592', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034569', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034565', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034563', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034559', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034537', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034371', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034367', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034362', None, None, None, None, None, '2710348') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 11 time used for this insertion : 0.017170190811157227 save_final save missing photos in datou_result : time spend for datou_step_exec : 5.843761205673218 time spend to save output : 0.017624616622924805 total time spend for step 7 : 5.861385822296143 step8:final Tue Apr 1 02:28:49 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 : {1349034678: ('0.31839180417834606',), 1349034592: ('0.31839180417834606',), 1349034569: ('0.31839180417834606',), 1349034565: ('0.31839180417834606',), 1349034563: ('0.31839180417834606',), 1349034559: ('0.31839180417834606',), 1349034537: ('0.31839180417834606',), 1349034371: ('0.31839180417834606',), 1349034367: ('0.31839180417834606',), 1349034362: ('0.31839180417834606',)} new output for save of step final : {1349034678: ('0.31839180417834606',), 1349034592: ('0.31839180417834606',), 1349034569: ('0.31839180417834606',), 1349034565: ('0.31839180417834606',), 1349034563: ('0.31839180417834606',), 1349034559: ('0.31839180417834606',), 1349034537: ('0.31839180417834606',), 1349034371: ('0.31839180417834606',), 1349034367: ('0.31839180417834606',), 1349034362: ('0.31839180417834606',)} [1349034678, 1349034592, 1349034569, 1349034565, 1349034563, 1349034559, 1349034537, 1349034371, 1349034367, 1349034362] Looping around the photos to save general results len do output : 10 /1349034678.Didn't retrieve data . /1349034592.Didn't retrieve data . /1349034569.Didn't retrieve data . /1349034565.Didn't retrieve data . /1349034563.Didn't retrieve data . /1349034559.Didn't retrieve data . /1349034537.Didn't retrieve data . /1349034371.Didn't retrieve data . /1349034367.Didn't retrieve data . /1349034362.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 ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034678', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034592', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034569', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034565', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034563', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034559', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034537', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034371', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034367', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034362', None, None, None, None, None, '2710348') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 30 time used for this insertion : 0.01724100112915039 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.12718558311462402 time spend to save output : 0.017980098724365234 total time spend for step 8 : 0.14516568183898926 step9:velours_tree Tue Apr 1 02:28:49 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 VR 22-3-18 : For now we do not clean correctly the datou structure can't find the photo_desc_type Inside saveOutput : final : False verbose : 0 ouput is None No outpout to save, returning out of save general time spend for datou_step_exec : 0.9144604206085205 time spend to save output : 4.57763671875e-05 total time spend for step 9 : 0.914506196975708 step10:send_mail_cod Tue Apr 1 02:28:50 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 complete output_args for input 1 complete output_args for input 2 Inconsistent number of input and output, step which parrallelize and manage error in input by avoiding sending an output for this data can't be used in tree dependencies of input and output complete output_args for input 3 We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure dans la step send mail cod work_area: /home/admin/workarea/git/Velours/python in order to get the selector url, please entre the license of selector results_Auto_P21921448_01-04-2025_02_28_50.pdf 21931171 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 .imagette219311711743467330 21931172 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 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imagette219311931743467346 21931194 imagette219311941743467346 21931195 imagette219311951743467346 21931196 imagette219311961743467346 SELECT h.hashtag,pcr.value FROM MTRUser.portfolio_carac_ratio pcr, MTRBack.hashtags h where pcr.portfolio_id=21921448 and hashtag_type = 4855 and pcr.hashtag_id = h.hashtag_id; velour_link : https://www.fotonower.com/velours/21931197,21931198,21931199,21931200,21931201,21931206,21931208,21931209,21931210,21931211,21931212,21931213,21931215,21931216,21931217,21931218,21931219,21931220,21931221,21931222?tags=papier,carton,metal,pet_clair,pehd,ela,textiles,verre,organique,dasri,masque,encombrant,autre_non_emballage,environnement,autre,flux_dev,mal_croppe,flou,film_dev_souple,sac_om_plein&datou_id_consolidate=4742&port_consolidate=21921448 your option no_mail is active, we will not send the real mail to your client args[1349034678] : ((1349034678, 4027.714805783272, 492609224), (1349034678, -0.1925453544441701, 496442774), '0.31839180417834606') We are sending mail with results at report@fotonower.com,cod@fotonower.com args[1349034592] : ((1349034592, 1918.3377626904119, 2107751945), (1349034592, -0.2061686787778743, 496442774), '0.31839180417834606') We are sending mail with results at report@fotonower.com,cod@fotonower.com args[1349034569] : ((1349034569, 1985.0825711593025, 2107751945), (1349034569, -0.13970209751214263, 496442774), '0.31839180417834606') We are sending mail with results at report@fotonower.com,cod@fotonower.com args[1349034565] : ((1349034565, 1835.237849097399, 2107751945), (1349034565, -0.2616863375465327, 496442774), '0.31839180417834606') We are sending mail with results at report@fotonower.com,cod@fotonower.com args[1349034563] : ((1349034563, 2691.835295904119, 492609224), (1349034563, -0.29281170883989266, 496442774), '0.31839180417834606') We are sending mail with results at report@fotonower.com,cod@fotonower.com args[1349034559] : ((1349034559, 1809.8184838472719, 2107751945), (1349034559, -0.36699935653737414, 496442774), '0.31839180417834606') We are sending mail with results at report@fotonower.com,cod@fotonower.com args[1349034537] : ((1349034537, 2593.3467291758866, 492609224), (1349034537, -0.07048552372980224, 496442774), '0.31839180417834606') We are sending mail with results at report@fotonower.com,cod@fotonower.com args[1349034371] : ((1349034371, 3653.850525508813, 492609224), (1349034371, -0.02505870662060883, 2107752395), '0.31839180417834606') We are sending mail with results at report@fotonower.com,cod@fotonower.com args[1349034367] : ((1349034367, 2771.5442262948923, 492609224), (1349034367, -0.3198710910362205, 496442774), '0.31839180417834606') We are sending mail with results at report@fotonower.com,cod@fotonower.com args[1349034362] : ((1349034362, 544.8295066132688, 492688767), (1349034362, -0.34188049158129596, 496442774), '0.31839180417834606') We are sending mail with results at report@fotonower.com,cod@fotonower.com refus_total : 0.31839180417834606 2022-04-13 10:29:59 0 start upload file to ovh https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P21921448_01-04-2025_02_28_50.pdf results_Auto_P21921448_01-04-2025_02_28_50.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P21921448_01-04-2025_02_28_50.pdf start insert file to database insert into MTRUser.mtr_files (mtd_id,mtr_portfolio_id,text,url,format,tags,file_size,value) values ('4741','21921448','results_Auto_P21921448_01-04-2025_02_28_50.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P21921448_01-04-2025_02_28_50.pdf','pdf','','3.16','0.31839180417834606') Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : send_mail_cod we use saveGeneral [1349034678, 1349034592, 1349034569, 1349034565, 1349034563, 1349034559, 1349034537, 1349034371, 1349034367, 1349034362] 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 ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034678', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034592', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034569', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034565', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034563', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034559', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034537', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034371', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034367', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034362', None, None, None, None, None, '2710348') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 10 time used for this insertion : 0.015858888626098633 save_final save missing photos in datou_result : time spend for datou_step_exec : 24.03606390953064 time spend to save output : 0.06840729713439941 total time spend for step 10 : 24.10447120666504 step11:split_time_score Tue Apr 1 02:29:14 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array 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 1 VR 22-3-18 : For now we do not clean correctly the datou structure begin split time score Catched exception ! Connect or reconnect ! TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}] thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('43', 1), ('45', 5), ('47', 4)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} 15022025 21921448 Nombre de photos uploadées : 10 / 23040 (0%) 15022025 21921448 Nombre de photos taguées (types de déchets): 0 / 10 (0%) 15022025 21921448 Nombre de photos taguées (volume) : 0 / 10 (0%) elapsed_time : load_data_split_time_score 4.5299530029296875e-06 elapsed_time : order_list_meta_photo_and_scores 1.33514404296875e-05 ?????????? elapsed_time : fill_and_build_computed_from_old_data 0.00279998779296875 elapsed_time : insert_dashboard_record_day_entry 0.03046727180480957 We will return after consolidate but for now we need the day, how to get it, for now depending on the previous heavy steps Qualite : 0.31839180417834606 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P21921448_01-04-2025_02_28_50.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 21921448 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13156 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 13160 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 13160 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 13158 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13158 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13157 crop_condition is not consistent : 4 used against 2 in the step definition ! WARNING : number of outputs for step 13157 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 13161 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13159 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 13159 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 13156 doesn't seem to be define in the database( WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13161 doesn't seem to be define in the database( WARNING : type of input 3 of step 13159 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( WARNING : output 0 of step 13163 have datatype=6 whereas input 2 of step 13157 have datatype=None WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( WARNING : output 0 of step 13162 have datatype=6 whereas input 2 of step 13157 have datatype=None We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13161 have datatype=10 whereas input 3 of step 13164 have datatype=6 WARNING : output 0 of step 13161 have datatype=10 whereas input 0 of step 13166 have datatype=18 WARNING : type of input 5 of step 13164 doesn't seem to be define in the database( WARNING : output 0 of step 13166 have datatype=11 whereas input 5 of step 13164 have datatype=None WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( WARNING : output 1 of step 13158 have datatype=7 whereas input 2 of step 13157 have datatype=None WARNING : type of output 3 of step 13157 doesn't seem to be define in the database( WARNING : type of input 3 of step 13161 doesn't seem to be define in the database( WARNING : type of output 2 of step 13160 doesn't seem to be define in the database( WARNING : type of input 1 of step 13163 doesn't seem to be define in the database( WARNING : type of output 2 of step 13160 doesn't seem to be define in the database( WARNING : type of input 1 of step 13162 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=21921448 AND mptpi.`type`=4855 To do Qualite : 0.24436696304312958 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P21921449_01-04-2025_02_09_27.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 21921449 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13156 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 13160 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 13160 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 13158 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13158 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13157 crop_condition is not consistent : 4 used against 2 in the step definition ! WARNING : number of outputs for step 13157 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 13161 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13159 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 13159 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 13156 doesn't seem to be define in the database( WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13161 doesn't seem to be define in the database( WARNING : type of input 3 of step 13159 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( WARNING : output 0 of step 13163 have datatype=6 whereas input 2 of step 13157 have datatype=None WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( WARNING : output 0 of step 13162 have datatype=6 whereas input 2 of step 13157 have datatype=None We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13161 have datatype=10 whereas input 3 of step 13164 have datatype=6 WARNING : output 0 of step 13161 have datatype=10 whereas input 0 of step 13166 have datatype=18 WARNING : type of input 5 of step 13164 doesn't seem to be define in the database( WARNING : output 0 of step 13166 have datatype=11 whereas input 5 of step 13164 have datatype=None WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( WARNING : output 1 of step 13158 have datatype=7 whereas input 2 of step 13157 have datatype=None WARNING : type of output 3 of step 13157 doesn't seem to be define in the database( WARNING : type of input 3 of step 13161 doesn't seem to be define in the database( WARNING : type of output 2 of step 13160 doesn't seem to be define in the database( WARNING : type of input 1 of step 13163 doesn't seem to be define in the database( WARNING : type of output 2 of step 13160 doesn't seem to be define in the database( WARNING : type of input 1 of step 13162 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=21921449 AND mptpi.`type`=4855 To do Qualite : 0.30751082213782294 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P21921450_01-04-2025_01_04_01.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 21921450 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13156 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 13160 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 13160 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 13158 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 13158 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 13157 crop_condition is not consistent : 4 used against 2 in the step definition ! WARNING : number of outputs for step 13157 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 13161 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 13159 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 13159 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 13156 doesn't seem to be define in the database( WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 13161 doesn't seem to be define in the database( WARNING : type of input 3 of step 13159 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( WARNING : output 0 of step 13163 have datatype=6 whereas input 2 of step 13157 have datatype=None WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( WARNING : output 0 of step 13162 have datatype=6 whereas input 2 of step 13157 have datatype=None We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13161 have datatype=10 whereas input 3 of step 13164 have datatype=6 WARNING : output 0 of step 13161 have datatype=10 whereas input 0 of step 13166 have datatype=18 WARNING : type of input 5 of step 13164 doesn't seem to be define in the database( WARNING : output 0 of step 13166 have datatype=11 whereas input 5 of step 13164 have datatype=None WARNING : type of input 2 of step 13157 doesn't seem to be define in the database( WARNING : output 1 of step 13158 have datatype=7 whereas input 2 of step 13157 have datatype=None WARNING : type of output 3 of step 13157 doesn't seem to be define in the database( WARNING : type of input 3 of step 13161 doesn't seem to be define in the database( WARNING : type of output 2 of step 13160 doesn't seem to be define in the database( WARNING : type of input 1 of step 13163 doesn't seem to be define in the database( WARNING : type of output 2 of step 13160 doesn't seem to be define in the database( WARNING : type of input 1 of step 13162 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=21921450 AND mptpi.`type`=4855 To do NUMBER BATCH : 0 # DISPLAY ALL COLLECTED DATA : {'15022025': {'nb_upload': 10, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1349034678, 1349034592, 1349034569, 1349034565, 1349034563, 1349034559, 1349034537, 1349034371, 1349034367, 1349034362] Looping around the photos to save general results len do output : 1 /21921448Didn'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 ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034678', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034592', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034569', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034565', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034563', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034559', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034537', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034371', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034367', None, None, None, None, None, '2710348') ('4741', None, None, None, None, None, None, None, '2710348') ('4741', '21921448', '1349034362', None, None, None, None, None, '2710348') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 11 time used for this insertion : 0.015194177627563477 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.3806612491607666 time spend to save output : 0.015473604202270508 total time spend for step 11 : 0.3961348533630371 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 1 len(input) + len(total_photo_id_missing) : 10 set_done_treatment 1430.68user 874.28system 47:49.95elapsed 80%CPU (0avgtext+0avgdata 8871856maxresident)k 45788368inputs+1181408outputs (1353612major+123974396minor)pagefaults 0swaps