python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 3318 ' -s datou_3318 -M 0 -S 0 -U 95,95,120 import MySQLdb succeeded Import error (python version) ['/Users/moilerat/Documents/Fotonower/install/caffe/distribute/python', '/home/admin/workarea/git/Velours/python/prod', '/home/admin/workarea/install/caffe_cuda8_python3/python', '/home/admin/workarea/install/darknet', '/home/admin/workarea/git/Velours/python', '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python', '/home/admin/mtr/.credentials', '/home/admin/workarea/install/caffe/python', '/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools', '/home/admin/workarea/git/fotonowerpip', '/home/admin/workarea/install/segment-anything', '/home/admin/workarea/git/pyfvs', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/admin/.local/lib/python3.8/site-packages', '/usr/local/lib/python3.8/dist-packages', '/usr/lib/python3/dist-packages'] process id : 1697270 load datou : 3318 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! Unexpected type for variable list_input_json ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0) Tried to parse : chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? [(photo_id, hashtag_id, hashtag_type, x0, x1, y0, y1, score, seg_temp, polygons), ...] was removed should we ? chemin de la photo was removed should we ? [ (photo_id_loc, hashtag_id, hashtag_type, x0, x1, y0, y1, score, None), ...] was removed should we ? chemin de la photo was removed should we ? id de la photo (peut être local ou global) was removed should we ? chemin de la photo was removed should we ? (x0, y0, x1, y1) was removed should we ? chemin de la photo was removed should we ? donnée sous forme de texte was removed should we ? [ (photo_id, photo_id_loc, hashtag_type, x0, x1, y0, y1, score), ...] was removed should we ? None was removed should we ? donnée sous forme de texte was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? id de la photo (peut être local ou global) was removed should we ? donnée sous forme de texte was removed should we ? donnée sous forme de texte was removed should we ? donnée sous forme de texte was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? None was removed should we ? donnée sous forme de nombre was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? donnée sous forme de texte was removed should we ? None was removed should we ? donnée sous forme de texte was removed should we ? [ptf_id0,ptf_id1...] was removed should we ? FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5275, 'learn_RUBBIA_REFUS_AMIENS_23', 16384, 25088, 'learn_RUBBIA_REFUS_AMIENS_23', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2021, 4, 23, 14, 19, 39), datetime.datetime(2021, 4, 23, 14, 19, 39)) load thcls load THCL from format json or kwargs add thcl : 2847 in CacheModelConfig load pdts add pdt : 5275 in CacheModelConfig Running datou job : batch_current TODO datou_current to load to do maybe to take outside batchDatouExec updating current state to 1 list_input_json: [] Current got : datou_id : 3318, datou_cur_ids : ['4077464'] with mtr_portfolio_ids : ['28706917'] and first list_photo_ids : [] new path : /proc/1697270/ Inside batchDatouExec : verbose : 0 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! List Step Type Loaded in datou : mask_detect, crop_condition, rle_unique_nms_with_priority, ventilate_hashtags_in_portfolio, final, blur_detection, brightness, velours_tree, send_mail_cod, split_time_score over limit max, limiting to limit_max 40 list_input_json : [] origin We have 1 , BFBFBFBFBFBFBFBFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 14 ; length of list_pids : 14 ; length of list_args : 14 time to download the photos : 1.9450511932373047 About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 10 step1:mask_detect Wed Nov 19 14:20:31 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Beginning of datou step mask_detect ! save_polygon : True begin detect begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 10998 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-11-19 14:20:33.666514: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-11-19 14:20:33.690521: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493010000 Hz 2025-11-19 14:20:33.692494: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f41e4000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-11-19 14:20:33.692543: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-11-19 14:20:33.696107: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-11-19 14:20:34.009306: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x43796e10 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-11-19 14:20:34.009362: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-11-19 14:20:34.011119: 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 2025-11-19 14:20:34.011569: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-11-19 14:20:34.015681: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-11-19 14:20:34.017699: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-11-19 14:20:34.018045: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-11-19 14:20:34.020631: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-11-19 14:20:34.021889: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-11-19 14:20:34.026906: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-11-19 14:20:34.028689: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-11-19 14:20:34.028756: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-11-19 14:20:34.029712: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-11-19 14:20:34.029729: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-11-19 14:20:34.029740: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-11-19 14:20:34.031791: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10193 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. 2025-11-19 14:20:34.306721: 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 2025-11-19 14:20:34.306811: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-11-19 14:20:34.306835: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-11-19 14:20:34.306856: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-11-19 14:20:34.306876: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-11-19 14:20:34.306897: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-11-19 14:20:34.306918: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-11-19 14:20:34.306938: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-11-19 14:20:34.308527: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-11-19 14:20:34.309877: 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 2025-11-19 14:20:34.309915: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-11-19 14:20:34.309935: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-11-19 14:20:34.309952: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-11-19 14:20:34.309970: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-11-19 14:20:34.309987: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-11-19 14:20:34.310005: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-11-19 14:20:34.310022: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-11-19 14:20:34.311639: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-11-19 14:20:34.311675: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-11-19 14:20:34.311686: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-11-19 14:20:34.311695: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-11-19 14:20:34.313124: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10193 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) Using TensorFlow backend. WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:396: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version. Instructions for updating: box_ind is deprecated, use box_indices instead WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:703: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.cast` instead. WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:729: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.cast` instead. Inside mask_sub_process Inside mask_detect About to load cache.load_thcl_param To do loadFromThcl(), then load ParamDescType : thcl2847 thcls : [{'id': 2847, 'mtr_user_id': 31, 'name': 'learn_RUBBIA_REFUS_AMIENS_23', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'photo_desc_type': 5275, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'}] thcl {'id': 2847, 'mtr_user_id': 31, 'name': 'learn_RUBBIA_REFUS_AMIENS_23', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'photo_desc_type': 5275, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 5275 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5275, 'learn_RUBBIA_REFUS_AMIENS_23', 16384, 25088, 'learn_RUBBIA_REFUS_AMIENS_23', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2021, 4, 23, 14, 19, 39), datetime.datetime(2021, 4, 23, 14, 19, 39)) {'thcl': {'id': 2847, 'mtr_user_id': 31, 'name': 'learn_RUBBIA_REFUS_AMIENS_23', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'photo_desc_type': 5275, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['background', 'papier', 'carton', 'metal', 'pet_clair', 'autre', 'pehd', 'pet_fonce', 'environnement'], 'list_hashtags_csv': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'svm_hashtag_type_desc': 5275, 'photo_desc_type': 5275, 'pb_hashtag_id_or_classifier': 0} list_class_names : ['background', 'papier', 'carton', 'metal', 'pet_clair', 'autre', 'pehd', 'pet_fonce', 'environnement'] Configurations: BACKBONE resnet101 BACKBONE_SHAPES [[160 160] [ 80 80] [ 40 40] [ 20 20] [ 10 10]] BACKBONE_STRIDES [4, 8, 16, 32, 64] BATCH_SIZE 1 BBOX_STD_DEV [0.1 0.1 0.2 0.2] DETECTION_MAX_INSTANCES 100 DETECTION_MIN_CONFIDENCE 0.3 DETECTION_NMS_THRESHOLD 0.3 GPU_COUNT 1 IMAGES_PER_GPU 1 IMAGE_MAX_DIM 640 IMAGE_MIN_DIM 640 IMAGE_PADDING True IMAGE_SHAPE [640 640 3] LEARNING_MOMENTUM 0.9 LEARNING_RATE 0.001 LOSS_WEIGHTS {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0} MASK_POOL_SIZE 14 MASK_SHAPE [28, 28] MAX_GT_INSTANCES 100 MEAN_PIXEL [123.7 116.8 103.9] MINI_MASK_SHAPE (56, 56) NAME learn_RUBBIA_REFUS_AMIENS_23 NUM_CLASSES 9 POOL_SIZE 7 POST_NMS_ROIS_INFERENCE 1000 POST_NMS_ROIS_TRAINING 2000 ROI_POSITIVE_RATIO 0.33 RPN_ANCHOR_RATIOS [0.5, 1, 2] RPN_ANCHOR_SCALES (16, 32, 64, 128, 256) RPN_ANCHOR_STRIDE 1 RPN_BBOX_STD_DEV [0.1 0.1 0.2 0.2] RPN_NMS_THRESHOLD 0.7 RPN_TRAIN_ANCHORS_PER_IMAGE 256 STEPS_PER_EPOCH 1000 TRAIN_ROIS_PER_IMAGE 200 USE_MINI_MASK True USE_RPN_ROIS True VALIDATION_STEPS 50 WEIGHT_DECAY 0.0001 model_param file didn't exist model_name : learn_RUBBIA_REFUS_AMIENS_23 model_type : mask_rcnn list file need : ['mask_model.h5'] file exist in s3 : ['mask_model.h5'] file manque in s3 : [] 2025-11-19 14:20:42.284679: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-11-19 14:20:42.507072: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 local folder : /data/models_weight/learn_RUBBIA_REFUS_AMIENS_23 /data/models_weight/learn_RUBBIA_REFUS_AMIENS_23/mask_model.h5 size_local : 256009536 size in s3 : 256009536 create time local : 2021-08-09 09:43:22 create time in s3 : 2021-08-06 18:54:04 mask_model.h5 already exist and didn't need to update list_images length : 14 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 46.00000 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: 1920.00000 nb d'objets trouves : 9 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 37.00000 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: 1920.00000 nb d'objets trouves : 6 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 27.00000 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: 1920.00000 nb d'objets trouves : 8 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 36.00000 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: 1920.00000 nb d'objets trouves : 6 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 33.00000 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: 1920.00000 nb d'objets trouves : 6 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 50.00000 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: 1920.00000 nb d'objets trouves : 3 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 79.00000 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: 1920.00000 nb d'objets trouves : 5 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 48.00000 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: 1920.00000 nb d'objets trouves : 2 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 45.00000 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: 1920.00000 nb d'objets trouves : 6 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 34.00000 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: 1920.00000 nb d'objets trouves : 10 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 15.00000 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: 1920.00000 nb d'objets trouves : 3 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 50.00000 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: 1920.00000 nb d'objets trouves : 3 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 57.00000 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: 1920.00000 nb d'objets trouves : 4 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 43.00000 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: 1920.00000 nb d'objets trouves : 3 Detection mask done ! Trying to reset tf kernel 1697780 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 4907 tf kernel not reseted sub process len(results) : 14 len(list_Values) 0 None max_time_sub_proc : 3600 parent process len(results) : 14 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 : 5706 list_Values should be empty [] To do loadFromThcl(), then load ParamDescType : thcl2847 Catched exception ! Connect or reconnect ! thcls : [{'id': 2847, 'mtr_user_id': 31, 'name': 'learn_RUBBIA_REFUS_AMIENS_23', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'photo_desc_type': 5275, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'}] thcl {'id': 2847, 'mtr_user_id': 31, 'name': 'learn_RUBBIA_REFUS_AMIENS_23', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,papier,carton,metal,pet_clair,autre,pehd,pet_fonce,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3594, 'photo_desc_type': 5275, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 5275 ['background', 'papier', 'carton', 'metal', 'pet_clair', 'autre', 'pehd', 'pet_fonce', 'environnement'] time for calcul the mask position with numpy : 0.00086212158203125 nb_pixel_total : 28612 time to create 1 rle with old method : 0.032033681869506836 length of segment : 246 time for calcul the mask position with numpy : 8.130073547363281e-05 nb_pixel_total : 1312 time to create 1 rle with old method : 0.0016176700592041016 length of segment : 40 time for calcul the mask position with numpy : 0.00017333030700683594 nb_pixel_total : 7909 time to create 1 rle with old method : 0.008799552917480469 length of segment : 112 time for calcul the mask position with numpy : 0.00011992454528808594 nb_pixel_total : 4752 time to create 1 rle with old method : 0.005477190017700195 length of segment : 90 time for calcul the mask position with numpy : 0.0004515647888183594 nb_pixel_total : 30616 time to create 1 rle with old method : 0.03335833549499512 length of segment : 163 time for calcul the mask position with numpy : 0.00012183189392089844 nb_pixel_total : 4258 time to create 1 rle with old method : 0.0049626827239990234 length of segment : 93 time for calcul the mask position with numpy : 0.0004181861877441406 nb_pixel_total : 31309 time to create 1 rle with old method : 0.03501486778259277 length of segment : 170 time for calcul the mask position with numpy : 0.0002512931823730469 nb_pixel_total : 7492 time to create 1 rle with old method : 0.008501529693603516 length of segment : 155 time for calcul the mask position with numpy : 0.00016021728515625 nb_pixel_total : 7530 time to create 1 rle with old method : 0.008414268493652344 length of segment : 146 time for calcul the mask position with numpy : 0.0008435249328613281 nb_pixel_total : 58545 time to create 1 rle with old method : 0.06681466102600098 length of segment : 249 time for calcul the mask position with numpy : 0.09961366653442383 nb_pixel_total : 736935 time to create 1 rle with new method : 0.06696033477783203 length of segment : 1009 time for calcul the mask position with numpy : 0.00016450881958007812 nb_pixel_total : 6629 time to create 1 rle with old method : 0.0072629451751708984 length of segment : 99 time for calcul the mask position with numpy : 0.012530803680419922 nb_pixel_total : 812620 time to create 1 rle with new method : 0.02187824249267578 length of segment : 1295 time for calcul the mask position with numpy : 0.0017580986022949219 nb_pixel_total : 76818 time to create 1 rle with old method : 0.08068060874938965 length of segment : 456 time for calcul the mask position with numpy : 0.00042819976806640625 nb_pixel_total : 24433 time to create 1 rle with old method : 0.027431488037109375 length of segment : 184 time for calcul the mask position with numpy : 0.00025773048400878906 nb_pixel_total : 21118 time to create 1 rle with old method : 0.02438187599182129 length of segment : 129 time for calcul the mask position with numpy : 0.00014448165893554688 nb_pixel_total : 6680 time to create 1 rle with old method : 0.011483192443847656 length of segment : 92 time for calcul the mask position with numpy : 0.00015115737915039062 nb_pixel_total : 7160 time to create 1 rle with old method : 0.008469104766845703 length of segment : 79 time for calcul the mask position with numpy : 0.0002014636993408203 nb_pixel_total : 9529 time to create 1 rle with old method : 0.010701894760131836 length of segment : 95 time for calcul the mask position with numpy : 9.632110595703125e-05 nb_pixel_total : 3704 time to create 1 rle with old method : 0.004227638244628906 length of segment : 95 time for calcul the mask position with numpy : 0.02288079261779785 nb_pixel_total : 988795 time to create 1 rle with new method : 0.07610344886779785 length of segment : 1468 time for calcul the mask position with numpy : 0.00025010108947753906 nb_pixel_total : 7426 time to create 1 rle with old method : 0.008417606353759766 length of segment : 134 time for calcul the mask position with numpy : 0.012115001678466797 nb_pixel_total : 605057 time to create 1 rle with new method : 0.045053720474243164 length of segment : 1189 time for calcul the mask position with numpy : 0.00024771690368652344 nb_pixel_total : 4464 time to create 1 rle with old method : 0.005713462829589844 length of segment : 82 time for calcul the mask position with numpy : 0.00020051002502441406 nb_pixel_total : 8414 time to create 1 rle with old method : 0.010369539260864258 length of segment : 124 time for calcul the mask position with numpy : 0.00021457672119140625 nb_pixel_total : 4408 time to create 1 rle with old method : 0.0054743289947509766 length of segment : 151 time spent for convertir_results : 2.354889154434204 Inside saveOutput : final : False verbose : 0 eke 12-6-18 : saveMask need to be cleaned for new output ! Number saved : None batch 1 Loaded 26 chid ids of type : 3594 Number RLEs to save : 8145 save missing photos in datou_result : time spend for datou_step_exec : 27.144497871398926 time spend to save output : 0.5950968265533447 total time spend for step 1 : 27.73959469795227 step2:crop_condition Wed Nov 19 14:20:58 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 We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure Loading chi in step crop with photo_hashtag_type : 3594 Loading chi in step crop for list_pids : 14 ! batch 1 Loaded 26 chid ids of type : 3594 +++++++++++++++++++++++++++++++++ begin to crop the class : papier param for this class : {'min_score': 0.7} filtre for class : papier hashtag_id of this class : 492668766 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! map_result returned by crop_photo_return_map_crop : length : 13 About to insert : list_path_to_insert length 13 new photo from crops ! About to upload 13 photos upload in portfolio : 3736932 init cache_photo without model_param we have 13 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1763558460_1697270 INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558462), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188814_4f1f278807089887d018984fb597b95f_rle_crop_4038778278_0.png', 0, 49, 40, 0, 1763558462,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558462), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188814_4f1f278807089887d018984fb597b95f_rle_crop_4038778279_0.png', 0, 107, 111, 0, 1763558462,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558462), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188745_2c077158f27dc056e84ac5534cb744a4_rle_crop_4038778283_0.png', 0, 292, 147, 0, 1763558462,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558462), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188745_2c077158f27dc056e84ac5534cb744a4_rle_crop_4038778282_0.png', 0, 74, 86, 0, 1763558462,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558462), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188711_d96fdf755b8f606f39d326a12aacd31f_rle_crop_4038778284_0.png', 0, 163, 155, 0, 1763558462,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558462), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188674_62ac636ff31d3a9e28a46e2fea8d6afa_rle_crop_4038778285_0.png', 0, 95, 145, 0, 1763558462,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558462), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188608_0960d3776198971a08302a690d801ccd_rle_crop_4038778288_0.png', 0, 117, 98, 0, 1763558462,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558462), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188599_101e60bfa240c7d9e2c041e6ca2b4507_rle_crop_4038778293_0.png', 0, 105, 92, 0, 1763558462,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558462), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b_rle_crop_4038778296_0.png', 0, 62, 91, 0, 1763558462,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558462), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b_rle_crop_4038778298_0.png', 0, 149, 134, 0, 1763558462,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558462), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188497_4c9a71ef5545067c118a4c093c305e97_rle_crop_4038778300_0.png', 0, 103, 82, 0, 1763558462,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558462), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188458_b0917a0d2a26657b8066931a993e7117_rle_crop_4038778301_0.png', 0, 114, 121, 0, 1763558462,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558462), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188458_b0917a0d2a26657b8066931a993e7117_rle_crop_4038778302_0.png', 0, 78, 151, 0, 1763558462,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! we have uploaded 13 photos in the portfolio 3736932 time of upload the photos Elapsed time : 3.1746585369110107 we have finished the crop for the class : papier begin to crop the class : carton param for this class : {'min_score': 0.7} filtre for class : carton hashtag_id of this class : 492774966 we have both polygon and rles Next one ! 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 : 3736932 init cache_photo without model_param we have 1 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1763558463_1697270 INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558463), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b_rle_crop_4038778294_0.png', 0, 116, 79, 0, 1763558463,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! we have uploaded 1 photos in the portfolio 3736932 time of upload the photos Elapsed time : 0.5382978916168213 we have finished the crop for the class : carton begin to crop the class : metal param for this class : {'min_score': 0.7} filtre for class : metal hashtag_id of this class : 492628673 begin to crop the class : pet_clair param for this class : {'min_score': 0.7} filtre for class : pet_clair hashtag_id of this class : 2107755846 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! map_result returned by crop_photo_return_map_crop : length : 11 About to insert : list_path_to_insert length 11 new photo from crops ! About to upload 11 photos upload in portfolio : 3736932 init cache_photo without model_param we have 11 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1763558477_1697270 INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558479), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188814_4f1f278807089887d018984fb597b95f_rle_crop_4038778277_0.png', 0, 375, 196, 0, 1763558479,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558479), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188778_1642f1f9301fb634bf8b8554463f2cf1_rle_crop_4038778280_0.png', 0, 94, 86, 0, 1763558479,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558479), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188745_2c077158f27dc056e84ac5534cb744a4_rle_crop_4038778281_0.png', 0, 245, 150, 0, 1763558479,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558479), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188674_62ac636ff31d3a9e28a46e2fea8d6afa_rle_crop_4038778287_0.png', 0, 1103, 983, 0, 1763558479,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558479), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188674_62ac636ff31d3a9e28a46e2fea8d6afa_rle_crop_4038778286_0.png', 0, 365, 246, 0, 1763558479,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558479), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188608_0960d3776198971a08302a690d801ccd_rle_crop_4038778289_0.png', 0, 950, 997, 0, 1763558479,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558479), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188605_e66ab4ebff421acbf78ddb64c782e9bb_rle_crop_4038778291_0.png', 0, 261, 184, 0, 1763558479,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558479), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188605_e66ab4ebff421acbf78ddb64c782e9bb_rle_crop_4038778290_0.png', 0, 300, 447, 0, 1763558479,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558479), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b_rle_crop_4038778297_0.png', 0, 1535, 976, 0, 1763558479,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558479), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b_rle_crop_4038778295_0.png', 0, 178, 75, 0, 1763558479,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558479), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188511_0dcb4dc45d3297dbb949e89829ef0255_rle_crop_4038778299_0.png', 0, 1058, 954, 0, 1763558479,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! we have uploaded 11 photos in the portfolio 3736932 time of upload the photos Elapsed time : 2.9329185485839844 we have finished the crop for the class : pet_clair begin to crop the class : autre param for this class : {'min_score': 0.7} filtre for class : autre hashtag_id of this class : 494826614 we have both polygon and rles Next one ! 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 : 3736932 init cache_photo without model_param we have 1 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1763558480_1697270 INSERT INTO MTRBack.photos (`timeStamp`, `latitude`, `longitude`, `right_categories`, `tags`, `speed`, `size`, `text`, `altitude`, `width`, `height`, `score`, `created_at`,`source_id`,`place_id`) VALUES (FROM_UNIXTIME(1763558480), 0.0, 0.0, 14, '', 0, 0, '1763558429_1697270_1395188605_e66ab4ebff421acbf78ddb64c782e9bb_rle_crop_4038778292_0.png', 0, 227, 120, 0, 1763558480,'0',0) batch_size : 0, verbose : False, strat_bulk_insert : ignore_different_from_first This is a hack ! we have uploaded 1 photos in the portfolio 3736932 time of upload the photos Elapsed time : 0.4661264419555664 we have finished the crop for the class : autre begin to crop the class : pehd param for this class : {'min_score': 0.7} filtre for class : pehd hashtag_id of this class : 628944319 begin to crop the class : pet_fonce param for this class : {'min_score': 0.7} filtre for class : pet_fonce hashtag_id of this class : 2107755900 delete rles from all chi we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles we have 0 chi objets contains the rles Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : crop_condition we use saveGeneral [1395188814, 1395188778, 1395188745, 1395188711, 1395188674, 1395188608, 1395188605, 1395188602, 1395188599, 1395188596, 1395188513, 1395188511, 1395188497, 1395188458] Looping around the photos to save general results len do output : 26 /1395209952Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395209953Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395209954Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395209956Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395209957Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395209958Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395209960Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395209961Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395209963Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395209965Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395209966Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395209967Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395209969Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395209976Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395210170Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395210171Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395210172Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395210175Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395210176Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395210177Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395210180Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395210181Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395210182Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395210185Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395210186Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1395210201Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188814', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188778', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188745', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188711', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188674', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188608', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188605', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188602', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188599', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188596', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188513', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188511', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188497', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188458', None, None, None, None, None, '4077464') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 92 time used for this insertion : 0.020026445388793945 save_final save missing photos in datou_result : time spend for datou_step_exec : 22.006568908691406 time spend to save output : 0.021018266677856445 total time spend for step 2 : 22.027587175369263 step3:rle_unique_nms_with_priority Wed Nov 19 14:21:20 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array VR 22-3-18 : For now we do not clean correctly the datou structure Begin step rle-unique-nms batch 1 Loaded 26 chid ids of type : 3594 +++++++++++++++++++++++++++++++++nb_obj : 3 nb_hashtags : 2 time to prepare the origin masks : 0.2465357780456543 time for calcul the mask position with numpy : 0.054276466369628906 nb_pixel_total : 2035767 time to create 1 rle with new method : 0.1649770736694336 time for calcul the mask position with numpy : 0.0059070587158203125 nb_pixel_total : 7909 time to create 1 rle with old method : 0.008665323257446289 time for calcul the mask position with numpy : 0.005767345428466797 nb_pixel_total : 1312 time to create 1 rle with old method : 0.0014412403106689453 time for calcul the mask position with numpy : 0.006315708160400391 nb_pixel_total : 28612 time to create 1 rle with old method : 0.03224682807922363 create new chi : 0.2901890277862549 time to delete rle : 0.025532245635986328 batch 1 Loaded 7 chid ids of type : 3594 +++Number RLEs to save : 1876 TO DO : save crop sub photo not yet done ! save time : 0.15590739250183105 nb_obj : 1 nb_hashtags : 1 time to prepare the origin masks : 0.06834983825683594 time for calcul the mask position with numpy : 0.14119625091552734 nb_pixel_total : 2068848 time to create 1 rle with new method : 0.15325450897216797 time for calcul the mask position with numpy : 0.0058345794677734375 nb_pixel_total : 4752 time to create 1 rle with old method : 0.005145072937011719 create new chi : 0.30564355850219727 time to delete rle : 0.0002353191375732422 batch 1 Loaded 3 chid ids of type : 3594 +Number RLEs to save : 1260 TO DO : save crop sub photo not yet done ! save time : 0.12266182899475098 nb_obj : 3 nb_hashtags : 2 time to prepare the origin masks : 0.07169151306152344 time for calcul the mask position with numpy : 0.11772990226745605 nb_pixel_total : 2035631 time to create 1 rle with new method : 0.07353711128234863 time for calcul the mask position with numpy : 0.006246805191040039 nb_pixel_total : 3095 time to create 1 rle with old method : 0.0037775039672851562 time for calcul the mask position with numpy : 0.00618290901184082 nb_pixel_total : 4258 time to create 1 rle with old method : 0.005005598068237305 time for calcul the mask position with numpy : 0.006375551223754883 nb_pixel_total : 30616 time to create 1 rle with old method : 0.03484177589416504 create new chi : 0.26489925384521484 time to delete rle : 0.00030517578125 batch 1 Loaded 7 chid ids of type : 3594 +++++Number RLEs to save : 1719 TO DO : save crop sub photo not yet done ! save time : 0.1633148193359375 nb_obj : 1 nb_hashtags : 1 time to prepare the origin masks : 0.03799939155578613 time for calcul the mask position with numpy : 0.02272200584411621 nb_pixel_total : 2066108 time to create 1 rle with new method : 0.1667795181274414 time for calcul the mask position with numpy : 0.00629115104675293 nb_pixel_total : 7492 time to create 1 rle with old method : 0.008508682250976562 create new chi : 0.2116408348083496 time to delete rle : 0.00024962425231933594 batch 1 Loaded 3 chid ids of type : 3594 +Number RLEs to save : 1390 TO DO : save crop sub photo not yet done ! save time : 0.12243199348449707 nb_obj : 3 nb_hashtags : 2 time to prepare the origin masks : 0.21786189079284668 time for calcul the mask position with numpy : 0.10068511962890625 nb_pixel_total : 1270590 time to create 1 rle with new method : 0.09041118621826172 time for calcul the mask position with numpy : 0.012194633483886719 nb_pixel_total : 736935 time to create 1 rle with new method : 0.14802122116088867 time for calcul the mask position with numpy : 0.007810354232788086 nb_pixel_total : 58545 time to create 1 rle with old method : 0.07802486419677734 time for calcul the mask position with numpy : 0.006097555160522461 nb_pixel_total : 7530 time to create 1 rle with old method : 0.008385181427001953 create new chi : 0.463911771774292 time to delete rle : 0.0005655288696289062 batch 1 Loaded 7 chid ids of type : 3594 +++Number RLEs to save : 3888 TO DO : save crop sub photo not yet done ! save time : 0.28690338134765625 nb_obj : 2 nb_hashtags : 2 time to prepare the origin masks : 0.09676957130432129 time for calcul the mask position with numpy : 0.10764002799987793 nb_pixel_total : 1260980 time to create 1 rle with new method : 0.07596492767333984 time for calcul the mask position with numpy : 0.011372566223144531 nb_pixel_total : 805991 time to create 1 rle with new method : 0.13419723510742188 time for calcul the mask position with numpy : 0.005773067474365234 nb_pixel_total : 6629 time to create 1 rle with old method : 0.007254600524902344 create new chi : 0.3595616817474365 time to delete rle : 0.0005192756652832031 batch 1 Loaded 5 chid ids of type : 3594 +++Number RLEs to save : 3868 TO DO : save crop sub photo not yet done ! save time : 0.28690052032470703 nb_obj : 3 nb_hashtags : 2 time to prepare the origin masks : 0.11246204376220703 time for calcul the mask position with numpy : 0.054590463638305664 nb_pixel_total : 1951231 time to create 1 rle with new method : 0.1457216739654541 time for calcul the mask position with numpy : 0.006795644760131836 nb_pixel_total : 21118 time to create 1 rle with old method : 0.03111863136291504 time for calcul the mask position with numpy : 0.007711648941040039 nb_pixel_total : 24433 time to create 1 rle with old method : 0.03764963150024414 time for calcul the mask position with numpy : 0.007681608200073242 nb_pixel_total : 76818 time to create 1 rle with old method : 0.1093299388885498 create new chi : 0.41319942474365234 time to delete rle : 0.0004401206970214844 batch 1 Loaded 7 chid ids of type : 3594 +++Number RLEs to save : 2618 TO DO : save crop sub photo not yet done ! save time : 0.20679616928100586 No data in photo_id : 1395188602 nb_obj : 1 nb_hashtags : 1 time to prepare the origin masks : 0.04651308059692383 time for calcul the mask position with numpy : 0.024216175079345703 nb_pixel_total : 2066920 time to create 1 rle with new method : 0.1289064884185791 time for calcul the mask position with numpy : 0.006331682205200195 nb_pixel_total : 6680 time to create 1 rle with old method : 0.007614850997924805 create new chi : 0.17426395416259766 time to delete rle : 0.00025916099548339844 batch 1 Loaded 3 chid ids of type : 3594 +Number RLEs to save : 1264 TO DO : save crop sub photo not yet done ! save time : 0.13428235054016113 nb_obj : 5 nb_hashtags : 3 time to prepare the origin masks : 0.15822505950927734 time for calcul the mask position with numpy : 0.03205132484436035 nb_pixel_total : 1060096 time to create 1 rle with new method : 0.3036038875579834 time for calcul the mask position with numpy : 0.006131649017333984 nb_pixel_total : 5478 time to create 1 rle with old method : 0.0060765743255615234 time for calcul the mask position with numpy : 0.013463735580444336 nb_pixel_total : 987633 time to create 1 rle with new method : 0.08347272872924805 time for calcul the mask position with numpy : 0.006441593170166016 nb_pixel_total : 3704 time to create 1 rle with old method : 0.004205465316772461 time for calcul the mask position with numpy : 0.006937980651855469 nb_pixel_total : 9529 time to create 1 rle with old method : 0.010829687118530273 time for calcul the mask position with numpy : 0.006579875946044922 nb_pixel_total : 7160 time to create 1 rle with old method : 0.007864713668823242 create new chi : 0.5035171508789062 time to delete rle : 0.0006349086761474609 batch 1 Loaded 11 chid ids of type : 3594 ++++++Number RLEs to save : 4713 TO DO : save crop sub photo not yet done ! save time : 0.33895134925842285 No data in photo_id : 1395188513 nb_obj : 1 nb_hashtags : 1 time to prepare the origin masks : 0.03573203086853027 time for calcul the mask position with numpy : 0.016320228576660156 nb_pixel_total : 1468543 time to create 1 rle with new method : 0.02890324592590332 time for calcul the mask position with numpy : 0.009612321853637695 nb_pixel_total : 605057 time to create 1 rle with new method : 0.029761791229248047 create new chi : 0.08508610725402832 time to delete rle : 0.0003159046173095703 batch 1 Loaded 3 chid ids of type : 3594 +++Number RLEs to save : 3458 TO DO : save crop sub photo not yet done ! save time : 0.2478635311126709 nb_obj : 1 nb_hashtags : 1 time to prepare the origin masks : 0.043840646743774414 time for calcul the mask position with numpy : 0.2850017547607422 nb_pixel_total : 2069136 time to create 1 rle with new method : 0.13877105712890625 time for calcul the mask position with numpy : 0.006046772003173828 nb_pixel_total : 4464 time to create 1 rle with old method : 0.00497126579284668 create new chi : 0.44544458389282227 time to delete rle : 0.00029015541076660156 batch 1 Loaded 3 chid ids of type : 3594 +Number RLEs to save : 1244 TO DO : save crop sub photo not yet done ! save time : 0.12135553359985352 nb_obj : 2 nb_hashtags : 1 time to prepare the origin masks : 0.06002664566040039 time for calcul the mask position with numpy : 0.15059256553649902 nb_pixel_total : 2060778 time to create 1 rle with new method : 0.09266352653503418 time for calcul the mask position with numpy : 0.006367206573486328 nb_pixel_total : 4408 time to create 1 rle with old method : 0.004944562911987305 time for calcul the mask position with numpy : 0.0059795379638671875 nb_pixel_total : 8414 time to create 1 rle with old method : 0.009203195571899414 create new chi : 0.28157877922058105 time to delete rle : 0.0002827644348144531 batch 1 Loaded 5 chid ids of type : 3594 +++Number RLEs to save : 1630 TO DO : save crop sub photo not yet done ! save time : 0.1521143913269043 map_output_result : {1395188814: (0.0, 'Should be the crop_list due to order', 0), 1395188778: (0.0, 'Should be the crop_list due to order', 0), 1395188745: (0.0, 'Should be the crop_list due to order', 0), 1395188711: (0.0, 'Should be the crop_list due to order', 0), 1395188674: (0.0, 'Should be the crop_list due to order', 0), 1395188608: (0.0, 'Should be the crop_list due to order', 0), 1395188605: (0.0, 'Should be the crop_list due to order', 0), 1395188602: (0.0, 'Should be the crop_list due to order', 0.0), 1395188599: (0.0, 'Should be the crop_list due to order', 0), 1395188596: (0.0, 'Should be the crop_list due to order', 0), 1395188513: (0.0, 'Should be the crop_list due to order', 0.0), 1395188511: (0.0, 'Should be the crop_list due to order', 0), 1395188497: (0.0, 'Should be the crop_list due to order', 0), 1395188458: (0.0, 'Should be the crop_list due to order', 0)} End step rle-unique-nms Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : rle_unique_nms_with_priority we use saveGeneral [1395188814, 1395188778, 1395188745, 1395188711, 1395188674, 1395188608, 1395188605, 1395188602, 1395188599, 1395188596, 1395188513, 1395188511, 1395188497, 1395188458] Looping around the photos to save general results len do output : 14 /1395188814.Didn't retrieve data . /1395188778.Didn't retrieve data . /1395188745.Didn't retrieve data . /1395188711.Didn't retrieve data . /1395188674.Didn't retrieve data . /1395188608.Didn't retrieve data . /1395188605.Didn't retrieve data . /1395188602.Didn't retrieve data . /1395188599.Didn't retrieve data . /1395188596.Didn't retrieve data . /1395188513.Didn't retrieve data . /1395188511.Didn't retrieve data . /1395188497.Didn't retrieve data . /1395188458.Didn't retrieve data . before output type Used above Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188814', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188778', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188745', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188711', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188674', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188608', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188605', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188602', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188599', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188596', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188513', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188511', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188497', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188458', None, None, None, None, None, '4077464') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 42 time used for this insertion : 0.01880359649658203 save_final save missing photos in datou_result : time spend for datou_step_exec : 7.75366997718811 time spend to save output : 0.019355297088623047 total time spend for step 3 : 7.773025274276733 step4:ventilate_hashtags_in_portfolio Wed Nov 19 14:21:28 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 : 28706917 get user id for portfolio 28706917 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`=28706917 AND mptpi.`type`=3594 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('environnement','metal','pet_fonce','background','papier','pet_clair','flou','pehd','mal_croppe','autre','carton')) AND mptpi.`min_score`=0.5 To do To do SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=28706917 AND mptpi.`type`=3594 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('environnement','metal','pet_fonce','background','papier','pet_clair','flou','pehd','mal_croppe','autre','carton')) AND mptpi.`min_score`=0.5 To do Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") To do ! Use context local managing function ! SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=28706917 AND mptpi.`type`=3594 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('environnement','metal','pet_fonce','background','papier','pet_clair','flou','pehd','mal_croppe','autre','carton')) AND mptpi.`min_score`=0.5 To do lien utilise dans velours : https://marlene.fotonower.com/velours/28708607,28708608,28708609,28708610,28708611,28708612,28708613,28708614,28708615,28708616,28708617?tags=environnement,metal,pet_fonce,background,papier,pet_clair,flou,pehd,mal_croppe,autre,carton Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral [1395188814, 1395188778, 1395188745, 1395188711, 1395188674, 1395188608, 1395188605, 1395188602, 1395188599, 1395188596, 1395188513, 1395188511, 1395188497, 1395188458] Looping around the photos to save general results len do output : 1 /28706917. before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188814', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188778', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188745', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188711', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188674', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188608', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188605', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188602', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188599', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188596', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188513', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188511', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188497', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188458', None, None, None, None, None, '4077464') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 15 time used for this insertion : 0.01772928237915039 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.6673336029052734 time spend to save output : 0.018004179000854492 total time spend for step 4 : 1.685337781906128 step5:final Wed Nov 19 14:21:30 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 : {1395188814: ('0.11948068231922396',), 1395188778: ('0.11948068231922396',), 1395188745: ('0.11948068231922396',), 1395188711: ('0.11948068231922396',), 1395188674: ('0.11948068231922396',), 1395188608: ('0.11948068231922396',), 1395188605: ('0.11948068231922396',), 1395188602: ('0.11948068231922396',), 1395188599: ('0.11948068231922396',), 1395188596: ('0.11948068231922396',), 1395188513: ('0.11948068231922396',), 1395188511: ('0.11948068231922396',), 1395188497: ('0.11948068231922396',), 1395188458: ('0.11948068231922396',)} new output for save of step final : {1395188814: ('0.11948068231922396',), 1395188778: ('0.11948068231922396',), 1395188745: ('0.11948068231922396',), 1395188711: ('0.11948068231922396',), 1395188674: ('0.11948068231922396',), 1395188608: ('0.11948068231922396',), 1395188605: ('0.11948068231922396',), 1395188602: ('0.11948068231922396',), 1395188599: ('0.11948068231922396',), 1395188596: ('0.11948068231922396',), 1395188513: ('0.11948068231922396',), 1395188511: ('0.11948068231922396',), 1395188497: ('0.11948068231922396',), 1395188458: ('0.11948068231922396',)} [1395188814, 1395188778, 1395188745, 1395188711, 1395188674, 1395188608, 1395188605, 1395188602, 1395188599, 1395188596, 1395188513, 1395188511, 1395188497, 1395188458] Looping around the photos to save general results len do output : 14 /1395188814.Didn't retrieve data . /1395188778.Didn't retrieve data . /1395188745.Didn't retrieve data . /1395188711.Didn't retrieve data . /1395188674.Didn't retrieve data . /1395188608.Didn't retrieve data . /1395188605.Didn't retrieve data . /1395188602.Didn't retrieve data . /1395188599.Didn't retrieve data . /1395188596.Didn't retrieve data . /1395188513.Didn't retrieve data . /1395188511.Didn't retrieve data . /1395188497.Didn't retrieve data . /1395188458.Didn't retrieve data . before output type Used above Used above Managing all output in save final without adding information in the mtr_datou_result ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188814', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188778', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188745', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188711', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188674', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188608', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188605', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188602', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188599', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188596', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188513', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188511', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188497', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188458', None, None, None, None, None, '4077464') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 42 time used for this insertion : 0.017013072967529297 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.130112886428833 time spend to save output : 0.01766204833984375 total time spend for step 5 : 0.14777493476867676 step6:blur_detection Wed Nov 19 14:21:30 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure inside step blur_detection methode: ratio et variance treat image : temp/1763558429_1697270_1395188814_4f1f278807089887d018984fb597b95f.jpg resize: (1080, 1920) 1395188814 -0.053367960835947935 treat image : temp/1763558429_1697270_1395188778_1642f1f9301fb634bf8b8554463f2cf1.jpg resize: (1080, 1920) 1395188778 -0.08074978972501276 treat image : temp/1763558429_1697270_1395188745_2c077158f27dc056e84ac5534cb744a4.jpg resize: (1080, 1920) 1395188745 0.6540497105992391 treat image : temp/1763558429_1697270_1395188711_d96fdf755b8f606f39d326a12aacd31f.jpg resize: (1080, 1920) 1395188711 1.7598675608953904 treat image : temp/1763558429_1697270_1395188674_62ac636ff31d3a9e28a46e2fea8d6afa.jpg resize: (1080, 1920) 1395188674 3.8489730180410033 treat image : temp/1763558429_1697270_1395188608_0960d3776198971a08302a690d801ccd.jpg resize: (1080, 1920) 1395188608 0.8329840366056509 treat image : temp/1763558429_1697270_1395188605_e66ab4ebff421acbf78ddb64c782e9bb.jpg resize: (1080, 1920) 1395188605 1.2732713353391478 treat image : temp/1763558429_1697270_1395188602_08532b3ba56307ec82e52f883f4cd7ba.jpg resize: (1080, 1920) 1395188602 2.3473842667330245 treat image : temp/1763558429_1697270_1395188599_101e60bfa240c7d9e2c041e6ca2b4507.jpg resize: (1080, 1920) 1395188599 0.8868719286921103 treat image : temp/1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b.jpg resize: (1080, 1920) 1395188596 -3.4469731129821013 treat image : temp/1763558429_1697270_1395188513_80ec36d98e74b5b9bce54e58f3deac37.jpg resize: (1080, 1920) 1395188513 0.6739857726144843 treat image : temp/1763558429_1697270_1395188511_0dcb4dc45d3297dbb949e89829ef0255.jpg resize: (1080, 1920) 1395188511 -0.8122600148624046 treat image : temp/1763558429_1697270_1395188497_4c9a71ef5545067c118a4c093c305e97.jpg resize: (1080, 1920) 1395188497 2.487228792922353 treat image : temp/1763558429_1697270_1395188458_b0917a0d2a26657b8066931a993e7117.jpg resize: (1080, 1920) 1395188458 -0.3329357143093004 treat image : temp/1763558429_1697270_1395188814_4f1f278807089887d018984fb597b95f_rle_crop_4038778278_0.png resize: (40, 49) 1395209952 1.0640856325237824 treat image : temp/1763558429_1697270_1395188814_4f1f278807089887d018984fb597b95f_rle_crop_4038778279_0.png resize: (111, 107) 1395209953 -1.3069971617899971 treat image : temp/1763558429_1697270_1395188745_2c077158f27dc056e84ac5534cb744a4_rle_crop_4038778283_0.png resize: (147, 292) 1395209954 -0.8681670285747651 treat image : temp/1763558429_1697270_1395188745_2c077158f27dc056e84ac5534cb744a4_rle_crop_4038778282_0.png resize: (86, 74) 1395209956 -0.0678519509782705 treat image : temp/1763558429_1697270_1395188711_d96fdf755b8f606f39d326a12aacd31f_rle_crop_4038778284_0.png resize: (155, 163) 1395209957 -2.7010757760584534 treat image : temp/1763558429_1697270_1395188674_62ac636ff31d3a9e28a46e2fea8d6afa_rle_crop_4038778285_0.png resize: (145, 95) 1395209958 -1.676120127716594 treat image : temp/1763558429_1697270_1395188608_0960d3776198971a08302a690d801ccd_rle_crop_4038778288_0.png resize: (98, 117) 1395209960 -2.1850452963421083 treat image : temp/1763558429_1697270_1395188599_101e60bfa240c7d9e2c041e6ca2b4507_rle_crop_4038778293_0.png resize: (92, 105) 1395209961 -0.9365545494027379 treat image : temp/1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b_rle_crop_4038778296_0.png resize: (91, 62) 1395209963 -2.157464973453854 treat image : temp/1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b_rle_crop_4038778298_0.png resize: (134, 149) 1395209965 -2.5467352783724877 treat image : temp/1763558429_1697270_1395188497_4c9a71ef5545067c118a4c093c305e97_rle_crop_4038778300_0.png resize: (82, 103) 1395209966 -0.5978956679836466 treat image : temp/1763558429_1697270_1395188458_b0917a0d2a26657b8066931a993e7117_rle_crop_4038778301_0.png resize: (121, 114) 1395209967 -1.1232297459148373 treat image : temp/1763558429_1697270_1395188458_b0917a0d2a26657b8066931a993e7117_rle_crop_4038778302_0.png resize: (151, 78) 1395209969 -2.5874039480348525 treat image : temp/1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b_rle_crop_4038778294_0.png resize: (79, 116) 1395209976 0.0852783157300936 treat image : temp/1763558429_1697270_1395188814_4f1f278807089887d018984fb597b95f_rle_crop_4038778277_0.png resize: (196, 375) 1395210170 -2.2870821886166643 treat image : temp/1763558429_1697270_1395188778_1642f1f9301fb634bf8b8554463f2cf1_rle_crop_4038778280_0.png resize: (86, 94) 1395210171 -1.7736853982270189 treat image : temp/1763558429_1697270_1395188745_2c077158f27dc056e84ac5534cb744a4_rle_crop_4038778281_0.png resize: (150, 245) 1395210172 -0.2892252878875084 treat image : temp/1763558429_1697270_1395188674_62ac636ff31d3a9e28a46e2fea8d6afa_rle_crop_4038778287_0.png resize: (983, 1103) 1395210175 1.1823513809803163 treat image : temp/1763558429_1697270_1395188674_62ac636ff31d3a9e28a46e2fea8d6afa_rle_crop_4038778286_0.png resize: (246, 365) 1395210176 -0.6217253220953849 treat image : temp/1763558429_1697270_1395188608_0960d3776198971a08302a690d801ccd_rle_crop_4038778289_0.png resize: (997, 950) 1395210177 -0.48769388391104074 treat image : temp/1763558429_1697270_1395188605_e66ab4ebff421acbf78ddb64c782e9bb_rle_crop_4038778291_0.png resize: (184, 261) 1395210180 -2.311388465158204 treat image : temp/1763558429_1697270_1395188605_e66ab4ebff421acbf78ddb64c782e9bb_rle_crop_4038778290_0.png resize: (447, 300) 1395210181 0.17424396084079355 treat image : temp/1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b_rle_crop_4038778297_0.png resize: (976, 1535) 1395210182 -1.3593754430880611 treat image : temp/1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b_rle_crop_4038778295_0.png resize: (75, 178) 1395210185 -4.936785770307778 treat image : temp/1763558429_1697270_1395188511_0dcb4dc45d3297dbb949e89829ef0255_rle_crop_4038778299_0.png resize: (954, 1058) 1395210186 0.8341512768572977 treat image : temp/1763558429_1697270_1395188605_e66ab4ebff421acbf78ddb64c782e9bb_rle_crop_4038778292_0.png resize: (120, 227) 1395210201 -0.4263557148214646 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 : 40 time used for this insertion : 0.015694141387939453 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 40 time used for this insertion : 0.016173124313354492 save missing photos in datou_result : time spend for datou_step_exec : 12.560184240341187 time spend to save output : 0.03685426712036133 total time spend for step 6 : 12.597038507461548 step7:brightness Wed Nov 19 14:21:42 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/1763558429_1697270_1395188814_4f1f278807089887d018984fb597b95f.jpg treat image : temp/1763558429_1697270_1395188778_1642f1f9301fb634bf8b8554463f2cf1.jpg treat image : temp/1763558429_1697270_1395188745_2c077158f27dc056e84ac5534cb744a4.jpg treat image : temp/1763558429_1697270_1395188711_d96fdf755b8f606f39d326a12aacd31f.jpg treat image : temp/1763558429_1697270_1395188674_62ac636ff31d3a9e28a46e2fea8d6afa.jpg treat image : temp/1763558429_1697270_1395188608_0960d3776198971a08302a690d801ccd.jpg treat image : temp/1763558429_1697270_1395188605_e66ab4ebff421acbf78ddb64c782e9bb.jpg treat image : temp/1763558429_1697270_1395188602_08532b3ba56307ec82e52f883f4cd7ba.jpg treat image : temp/1763558429_1697270_1395188599_101e60bfa240c7d9e2c041e6ca2b4507.jpg treat image : temp/1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b.jpg treat image : temp/1763558429_1697270_1395188513_80ec36d98e74b5b9bce54e58f3deac37.jpg treat image : temp/1763558429_1697270_1395188511_0dcb4dc45d3297dbb949e89829ef0255.jpg treat image : temp/1763558429_1697270_1395188497_4c9a71ef5545067c118a4c093c305e97.jpg treat image : temp/1763558429_1697270_1395188458_b0917a0d2a26657b8066931a993e7117.jpg treat image : temp/1763558429_1697270_1395188814_4f1f278807089887d018984fb597b95f_rle_crop_4038778278_0.png treat image : temp/1763558429_1697270_1395188814_4f1f278807089887d018984fb597b95f_rle_crop_4038778279_0.png treat image : temp/1763558429_1697270_1395188745_2c077158f27dc056e84ac5534cb744a4_rle_crop_4038778283_0.png treat image : temp/1763558429_1697270_1395188745_2c077158f27dc056e84ac5534cb744a4_rle_crop_4038778282_0.png treat image : temp/1763558429_1697270_1395188711_d96fdf755b8f606f39d326a12aacd31f_rle_crop_4038778284_0.png treat image : temp/1763558429_1697270_1395188674_62ac636ff31d3a9e28a46e2fea8d6afa_rle_crop_4038778285_0.png treat image : temp/1763558429_1697270_1395188608_0960d3776198971a08302a690d801ccd_rle_crop_4038778288_0.png treat image : temp/1763558429_1697270_1395188599_101e60bfa240c7d9e2c041e6ca2b4507_rle_crop_4038778293_0.png treat image : temp/1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b_rle_crop_4038778296_0.png treat image : temp/1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b_rle_crop_4038778298_0.png treat image : temp/1763558429_1697270_1395188497_4c9a71ef5545067c118a4c093c305e97_rle_crop_4038778300_0.png treat image : temp/1763558429_1697270_1395188458_b0917a0d2a26657b8066931a993e7117_rle_crop_4038778301_0.png treat image : temp/1763558429_1697270_1395188458_b0917a0d2a26657b8066931a993e7117_rle_crop_4038778302_0.png treat image : temp/1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b_rle_crop_4038778294_0.png treat image : temp/1763558429_1697270_1395188814_4f1f278807089887d018984fb597b95f_rle_crop_4038778277_0.png treat image : temp/1763558429_1697270_1395188778_1642f1f9301fb634bf8b8554463f2cf1_rle_crop_4038778280_0.png treat image : temp/1763558429_1697270_1395188745_2c077158f27dc056e84ac5534cb744a4_rle_crop_4038778281_0.png treat image : temp/1763558429_1697270_1395188674_62ac636ff31d3a9e28a46e2fea8d6afa_rle_crop_4038778287_0.png treat image : temp/1763558429_1697270_1395188674_62ac636ff31d3a9e28a46e2fea8d6afa_rle_crop_4038778286_0.png treat image : temp/1763558429_1697270_1395188608_0960d3776198971a08302a690d801ccd_rle_crop_4038778289_0.png treat image : temp/1763558429_1697270_1395188605_e66ab4ebff421acbf78ddb64c782e9bb_rle_crop_4038778291_0.png treat image : temp/1763558429_1697270_1395188605_e66ab4ebff421acbf78ddb64c782e9bb_rle_crop_4038778290_0.png treat image : temp/1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b_rle_crop_4038778297_0.png treat image : temp/1763558429_1697270_1395188596_0b58bbace8c11ba0665a4dd016a5de8b_rle_crop_4038778295_0.png treat image : temp/1763558429_1697270_1395188511_0dcb4dc45d3297dbb949e89829ef0255_rle_crop_4038778299_0.png treat image : temp/1763558429_1697270_1395188605_e66ab4ebff421acbf78ddb64c782e9bb_rle_crop_4038778292_0.png Inside saveOutput : final : False verbose : 0 begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 40 time used for this insertion : 0.014104604721069336 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 40 time used for this insertion : 0.013877391815185547 save missing photos in datou_result : time spend for datou_step_exec : 3.678981065750122 time spend to save output : 0.033768653869628906 total time spend for step 7 : 3.712749719619751 step8:velours_tree Wed Nov 19 14:21:46 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 : 0.1380167007446289 time spend to save output : 3.6716461181640625e-05 total time spend for step 8 : 0.13805341720581055 step9:send_mail_cod Wed Nov 19 14:21:46 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 complete output_args for input 1 Inconsistent number of input and output, step which parrallelize and manage error in input by avoiding sending an output for this data can't be used in tree dependencies of input and output complete output_args for input 2 Inconsistent number of input and output, step which parrallelize and manage error in input by avoiding sending an output for this data can't be used in tree dependencies of input and output complete output_args for input 3 We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure dans la step send mail cod work_area: /home/admin/workarea/git/Velours/python in order to get the selector url, please entre the license of selector results_Auto_P28706917_19-11-2025_14_21_46.pdf 28708608 imagette287086081763558506 28708609 imagette287086091763558506 28708610 imagette287086101763558506 28708611 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 .imagette287086111763558506 28708612 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 .imagette287086121763558507 28708613 imagette287086131763558508 28708614 imagette287086141763558508 28708615 imagette287086151763558508 28708616 change filename to text .imagette287086161763558508 28708617 change filename to text .imagette287086171763558508 SELECT h.hashtag,pcr.value FROM MTRUser.portfolio_carac_ratio pcr, MTRBack.hashtags h where pcr.portfolio_id=28706917 and hashtag_type = 3594 and pcr.hashtag_id = h.hashtag_id; velour_link : https://marlene.fotonower.com/velours/28708607,28708608,28708609,28708610,28708611,28708612,28708613,28708614,28708615,28708616,28708617?tags=environnement,metal,pet_fonce,background,papier,pet_clair,flou,pehd,mal_croppe,autre,carton args[1395188814] : ((1395188814, -0.053367960835947935, 492688767), (1395188814, 0.6629204455165728, 2107752395), '0.11948068231922396') We are sending mail with results at report@fotonower.com args[1395188778] : ((1395188778, -0.08074978972501276, 492688767), (1395188778, 0.48979636268167337, 2107752395), '0.11948068231922396') We are sending mail with results at report@fotonower.com args[1395188745] : ((1395188745, 0.6540497105992391, 492688767), (1395188745, 0.3405162343933816, 2107752395), '0.11948068231922396') We are sending mail with results at report@fotonower.com args[1395188711] : ((1395188711, 1.7598675608953904, 492688767), (1395188711, 0.5743491044500724, 2107752395), '0.11948068231922396') We are sending mail with results at report@fotonower.com args[1395188674] : ((1395188674, 3.8489730180410033, 492688767), (1395188674, 0.3054698140586442, 2107752395), '0.11948068231922396') We are sending mail with results at report@fotonower.com args[1395188608] : ((1395188608, 0.8329840366056509, 492688767), (1395188608, 0.7493881247054464, 2107752395), '0.11948068231922396') We are sending mail with results at report@fotonower.com args[1395188605] : ((1395188605, 1.2732713353391478, 492688767), (1395188605, 1.244015625542916, 2107752395), '0.11948068231922396') We are sending mail with results at report@fotonower.com args[1395188602] : ((1395188602, 2.3473842667330245, 492688767), (1395188602, 0.7422339624101685, 2107752395), '0.11948068231922396') We are sending mail with results at report@fotonower.com args[1395188599] : ((1395188599, 0.8868719286921103, 492688767), (1395188599, 0.5783105350411184, 2107752395), '0.11948068231922396') We are sending mail with results at report@fotonower.com args[1395188596] : ((1395188596, -3.4469731129821013, 492609224), (1395188596, 0.4665650876399765, 2107752395), '0.11948068231922396') We are sending mail with results at report@fotonower.com args[1395188513] : ((1395188513, 0.6739857726144843, 492688767), (1395188513, 0.6251541001016832, 2107752395), '0.11948068231922396') We are sending mail with results at report@fotonower.com args[1395188511] : ((1395188511, -0.8122600148624046, 492688767), (1395188511, 0.9941607117032085, 2107752395), '0.11948068231922396') We are sending mail with results at report@fotonower.com args[1395188497] : ((1395188497, 2.487228792922353, 492688767), (1395188497, 1.253453865485124, 2107752395), '0.11948068231922396') We are sending mail with results at report@fotonower.com args[1395188458] : ((1395188458, -0.3329357143093004, 492688767), (1395188458, 0.6434834319818126, 2107752395), '0.11948068231922396') We are sending mail with results at report@fotonower.com refus_total : 0.11948068231922396 2022-04-13 10:29:59 0 SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text FROM MTRBack.photos_view ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=28706917 AND mpp.hide_status=0 ORDER BY mpp.order LIMIT 0, 1000 start upload file to ovh https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28706917_19-11-2025_14_21_46.pdf results_Auto_P28706917_19-11-2025_14_21_46.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28706917_19-11-2025_14_21_46.pdf start insert file to database insert into MTRUser.mtr_files (mtd_id,mtr_portfolio_id,text,url,format,tags,file_size,value) values ('3318','28706917','results_Auto_P28706917_19-11-2025_14_21_46.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28706917_19-11-2025_14_21_46.pdf','pdf','','0.45','0.11948068231922396') message_in_mail: Bonjour,
Veuillez trouver ci dessous les résultats du service carac on demand pour le portfolio: https://www.fotonower.com/view/28706917

https://www.fotonower.com/image?json=false&list_photos_id=1395188814
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1395188778
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1395188745
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1395188711
La photo est trop floue, merci de reprendre une photo.(avec le score = 1.7598675608953904)
https://www.fotonower.com/image?json=false&list_photos_id=1395188674
La photo est trop floue, merci de reprendre une photo.(avec le score = 3.8489730180410033)
https://www.fotonower.com/image?json=false&list_photos_id=1395188608
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1395188605
La photo est trop floue, merci de reprendre une photo.(avec le score = 1.2732713353391478)
https://www.fotonower.com/image?json=false&list_photos_id=1395188602
La photo est trop floue, merci de reprendre une photo.(avec le score = 2.3473842667330245)
https://www.fotonower.com/image?json=false&list_photos_id=1395188599
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1395188596
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1395188513
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1395188511
Bravo, la photo est bien prise.
https://www.fotonower.com/image?json=false&list_photos_id=1395188497
La photo est trop floue, merci de reprendre une photo.(avec le score = 2.487228792922353)
https://www.fotonower.com/image?json=false&list_photos_id=1395188458
Bravo, la photo est bien prise.

Dans ces conditions,le taux de refus est: 11.95%
Veuillez trouver les photos des contaminants.

exemples de contaminants: papier: https://www.fotonower.com/view/28708611?limit=200
exemples de contaminants: pet_clair: https://www.fotonower.com/view/28708612?limit=200
exemples de contaminants: autre: https://www.fotonower.com/view/28708616?limit=200
exemples de contaminants: carton: https://www.fotonower.com/view/28708617?limit=200
Veuillez trouver le rapport en pdf:https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28706917_19-11-2025_14_21_46.pdf.

Lien vers velours :https://marlene.fotonower.com/velours/28708607,28708608,28708609,28708610,28708611,28708612,28708613,28708614,28708615,28708616,28708617?tags=environnement,metal,pet_fonce,background,papier,pet_clair,flou,pehd,mal_croppe,autre,carton.


L'équipe Fotonower 202 b'' Date: Wed, 19 Nov 2025 13:21:51 GMT Content-Length: 0 Connection: close Server: nginx X-Message-Id: nntJsXJgQLmAYirlEqfptA Access-Control-Allow-Origin: https://sendgrid.api-docs.io Access-Control-Allow-Methods: POST Access-Control-Allow-Headers: Authorization, Content-Type, On-behalf-of, x-sg-elas-acl Access-Control-Max-Age: 600 X-No-CORS-Reason: https://sendgrid.com/docs/Classroom/Basics/API/cors.html Strict-Transport-Security: max-age=31536000; includeSubDomains Content-Security-Policy: frame-ancestors 'none' Cache-Control: no-cache X-Content-Type-Options: no-sniff Referrer-Policy: strict-origin-when-cross-origin Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : send_mail_cod we use saveGeneral [1395188814, 1395188778, 1395188745, 1395188711, 1395188674, 1395188608, 1395188605, 1395188602, 1395188599, 1395188596, 1395188513, 1395188511, 1395188497, 1395188458] Looping around the photos to save general results len do output : 0 before output type Used above Managing all output in save final without adding information in the mtr_datou_result ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188814', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188778', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188745', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188711', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188674', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188608', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188605', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188602', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188599', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188596', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188513', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188511', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188497', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188458', None, None, None, None, None, '4077464') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 14 time used for this insertion : 0.014464616775512695 save_final save missing photos in datou_result : time spend for datou_step_exec : 4.2056565284729 time spend to save output : 0.01472783088684082 total time spend for step 9 : 4.220384359359741 step10:split_time_score Wed Nov 19 14:21:51 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! complete output_args for input 1 VR 22-3-18 : For now we do not clean correctly the datou structure begin split time score Catched exception ! Connect or reconnect ! TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}] thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('12', 14),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} 19112025 28706917 Nombre de photos uploadées : 14 / 23040 (0%) 19112025 28706917 Nombre de photos taguées (types de déchets): 0 / 14 (0%) 19112025 28706917 Nombre de photos taguées (volume) : 0 / 14 (0%) elapsed_time : load_data_split_time_score 1.430511474609375e-06 elapsed_time : order_list_meta_photo_and_scores 5.0067901611328125e-06 ?????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0006754398345947266 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.20041537284851074 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 : 0.09684008487654322 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28699660_19-11-2025_10_01_27.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 28699660 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=28699660 AND mptpi.`type`=3594 To do Qualite : 0.13480699159807957 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28699663_19-11-2025_09_31_42.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 28699663 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=28699663 AND mptpi.`type`=3594 To do Qualite : 0.05604196807484568 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28699667_19-11-2025_09_21_10.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 28699667 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=28699667 AND mptpi.`type`=3594 To do Qualite : 0.11329287765775035 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28699668_19-11-2025_09_11_56.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 28699668 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=28699668 AND mptpi.`type`=3594 To do Qualite : 0.04295608281893003 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28700487_19-11-2025_09_51_41.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 28700487 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=28700487 AND mptpi.`type`=3594 To do Qualite : 0.047608593061067024 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28700488_19-11-2025_10_52_32.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 28700488 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=28700488 AND mptpi.`type`=3594 To do Qualite : 0.058234063390313374 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28703320_19-11-2025_11_21_38.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 28703320 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=28703320 AND mptpi.`type`=3594 To do Qualite : 0.03578746570644718 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28703323_19-11-2025_11_11_10.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 28703323 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=28703323 AND mptpi.`type`=3594 To do Qualite : 0.16078625801282057 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28706913_19-11-2025_13_31_53.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 28706913 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=28706913 AND mptpi.`type`=3594 To do Qualite : 0.2194089720507545 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28706915_19-11-2025_13_22_31.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 28706915 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=28706915 AND mptpi.`type`=3594 To do Qualite : 0.0157984101723251 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28706379_19-11-2025_12_41_38.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 28706379 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=28706379 AND mptpi.`type`=3594 To do Qualite : 0.11948068231922396 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P28706917_19-11-2025_14_21_46.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 28706917 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=28706917 AND mptpi.`type`=3594 To do NUMBER BATCH : 0 # DISPLAY ALL COLLECTED DATA : {'19112025': {'nb_upload': 14, '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 [1395188814, 1395188778, 1395188745, 1395188711, 1395188674, 1395188608, 1395188605, 1395188602, 1395188599, 1395188596, 1395188513, 1395188511, 1395188497, 1395188458] Looping around the photos to save general results len do output : 1 /28706917Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188814', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188778', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188745', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188711', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188674', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188608', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188605', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188602', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188599', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188596', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188513', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188511', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188497', None, None, None, None, None, '4077464') ('3318', None, None, None, None, None, None, None, '4077464') ('3318', '28706917', '1395188458', None, None, None, None, None, '4077464') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 15 time used for this insertion : 0.014590978622436523 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.0881564617156982 time spend to save output : 0.01482844352722168 total time spend for step 10 : 1.10298490524292 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 14 set_done_treatment 51.37user 21.59system 1:26.66elapsed 84%CPU (0avgtext+0avgdata 2819496maxresident)k 16576inputs+30320outputs (96major+1690650minor)pagefaults 0swaps