python /home/admin/mtr/script_for_cron.py -j default -m 20 -a 'python3 ~/workarea/git/Velours/python/prod/datou.py -j batch_current -C 3757326' -s traitement_sts -M 0 -S 0 -U 100,80,95 import MySQLdb succeeded Import error (python version) ['/Users/moilerat/Documents/Fotonower/install/caffe/distribute/python', '/home/admin/workarea/git/Velours/python/prod', '/home/admin/workarea/install/darknet', '/home/admin/workarea/git/Velours/python', '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python', '/home/admin/mtr/.credentials', '/home/admin/workarea/install/caffe/python', '/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools', '/home/admin/workarea/git/fotonowerpip', '/home/admin/workarea/install/segment-anything', '/home/admin/workarea/git/pyfvs', '/home/admin/workarea/git/apy', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/admin/.local/lib/python3.8/site-packages', '/usr/local/lib/python3.8/dist-packages', '/usr/lib/python3/dist-packages'] process id : 477346 load datou : 0 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : step 0 init_dummy_multi_datou is not linked in the step_by_step architecture ! WARNING : step 1294 init_dummy_multi_datou is not linked in the step_by_step architecture ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! DataTypes for each output/input checked ! Unexpected type for variable list_input_json ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0) Tried to parse : (photo_id, hashtag_id, score_max) was removed should we ? (x0, y0, x1, y1) was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (x0, y0, x1, y1) was removed should we ? chemin de la photo was removed should we ? load thcls load pdts Running datou job : batch_current TODO datou_current to load to do maybe to take outside batchDatouExec no input labels no input values updating current state to 1 list_input_json: {} Current got : datou_id : 4746, datou_cur_ids : ['3757326'] with mtr_portfolio_ids : ['27051544'] and first list_photo_ids : [] new path : /proc/477346/ 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 ! 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 14102 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 13182 split_time_score_with_photo have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 13182 split_time_score_with_photo is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 14090 launch_next_datou_same_portfolio is not consistent : 1 used against 0 in the step definition ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 1 of step 13182 doesn't seem to be define in the database( WARNING : type of input 0 of step 14090 doesn't seem to be define in the database( WARNING : type of output 2 of step 14102 doesn't seem to be define in the database( WARNING : type of input 2 of step 13182 doesn't seem to be define in the database( DataTypes for each output/input checked ! List Step Type Loaded in datou : mask_detect, split_time_score_with_photo, launch_next_datou_same_portfolio over limit max, limiting to limit_max 150 list_input_json : {} origin We have 1 , BFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 7 ; length of list_pids : 7 ; length of list_args : 7 time to download the photos : 2.098977565765381 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 : 3 step1:mask_detect Mon Sep 22 12:15:29 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 : False begin detect begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 10586 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-09-22 12:15:32.631484: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-09-22 12:15:32.656496: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3492910000 Hz 2025-09-22 12:15:32.658601: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f7760000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-09-22 12:15:32.658659: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-09-22 12:15:32.662632: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-09-22 12:15:32.834039: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x33ccbbc0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-09-22 12:15:32.834093: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-09-22 12:15:32.834974: 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 2025-09-22 12:15:32.835270: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-09-22 12:15:32.837290: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-09-22 12:15:32.839337: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-09-22 12:15:32.839636: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-09-22 12:15:32.841871: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-09-22 12:15:32.842853: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-09-22 12:15:32.847165: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-09-22 12:15:32.848580: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-09-22 12:15:32.848652: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-09-22 12:15:32.849385: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-09-22 12:15:32.849399: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-09-22 12:15:32.849408: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-09-22 12:15:32.850669: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9805 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. 2025-09-22 12:15:33.078475: 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 2025-09-22 12:15:33.078547: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-09-22 12:15:33.078563: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-09-22 12:15:33.078577: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-09-22 12:15:33.078590: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-09-22 12:15:33.078603: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-09-22 12:15:33.078616: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-09-22 12:15:33.078629: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-09-22 12:15:33.079835: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-09-22 12:15:33.080930: 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 2025-09-22 12:15:33.080959: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-09-22 12:15:33.080974: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-09-22 12:15:33.080988: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-09-22 12:15:33.081002: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-09-22 12:15:33.081015: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-09-22 12:15:33.081035: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-09-22 12:15:33.081058: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-09-22 12:15:33.082306: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-09-22 12:15:33.082331: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-09-22 12:15:33.082338: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-09-22 12:15:33.082345: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-09-22 12:15:33.083666: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9805 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 : thcl3916 thcls : [{'id': 3916, 'mtr_user_id': 31, 'name': 'learn_mask_pancarte_110625_2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,badge,pancarte', 'svm_portfolios_learning': '0,0,0', 'photo_hashtag_type': 5014, 'photo_desc_type': 6109, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0'}] thcl {'id': 3916, 'mtr_user_id': 31, 'name': 'learn_mask_pancarte_110625_2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,badge,pancarte', 'svm_portfolios_learning': '0,0,0', 'photo_hashtag_type': 5014, 'photo_desc_type': 6109, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0'} Update svm_hashtag_type_desc : 6109 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (6109, 'learn_mask_pancarte_110625_2', 16384, 25088, 'learn_mask_pancarte_110625_2', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2025, 6, 11, 13, 23, 2), datetime.datetime(2025, 6, 11, 13, 23, 2)) {'thcl': {'id': 3916, 'mtr_user_id': 31, 'name': 'learn_mask_pancarte_110625_2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,badge,pancarte', 'svm_portfolios_learning': '0,0,0', 'photo_hashtag_type': 5014, 'photo_desc_type': 6109, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0'}, 'list_hashtags': ['background', 'badge', 'pancarte'], 'list_hashtags_csv': 'background,badge,pancarte', 'svm_portfolios_learning': '0,0,0', 'photo_hashtag_type': 5014, 'svm_hashtag_type_desc': 6109, 'photo_desc_type': 6109, 'pb_hashtag_id_or_classifier': 0} list_class_names : ['background', 'badge', 'pancarte'] 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_mask_pancarte_110625_2 NUM_CLASSES 3 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_mask_pancarte_110625_2 model_type : mask_rcnn list file need : ['mask_model.h5'] file exist in s3 : ['mask_model.h5'] file manque in s3 : [] 2025-09-22 12:15:46.256311: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-09-22 12:15:46.426313: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 local folder : /data/models_weight/learn_mask_pancarte_110625_2 /data/models_weight/learn_mask_pancarte_110625_2/mask_model.h5 size_local : 255878432 size in s3 : 255878432 create time local : 2025-06-11 13:03:21 create time in s3 : 2025-06-11 11:03:27 mask_model.h5 already exist and didn't need to update list_images length : 7 NEW PHOTO Processing 1 images image shape: (3120, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 11) min: 0.00000 max: 3120.00000 nb d'objets trouves : 2 NEW PHOTO Processing 1 images image shape: (3120, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 11) min: 0.00000 max: 3120.00000 nb d'objets trouves : 1 NEW PHOTO Processing 1 images image shape: (3120, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.34453 max: 151.10000 image_metas shape: (1, 11) min: 0.00000 max: 3120.00000 nb d'objets trouves : 3 NEW PHOTO Processing 1 images image shape: (3120, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -121.36016 max: 151.10000 image_metas shape: (1, 11) min: 0.00000 max: 3120.00000 nb d'objets trouves : 0 NEW PHOTO Processing 1 images image shape: (3120, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 11) min: 0.00000 max: 3120.00000 nb d'objets trouves : 0 NEW PHOTO Processing 1 images image shape: (3120, 3120, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 11) min: 0.00000 max: 3120.00000 nb d'objets trouves : 1 NEW PHOTO Processing 1 images image shape: (3120, 3120, 3) min: 7.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -110.52031 max: 151.10000 image_metas shape: (1, 11) min: 0.00000 max: 3120.00000 nb d'objets trouves : 2 Detection mask done ! Trying to reset tf kernel 477804 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 5294 tf kernel not reseted sub process len(results) : 7 len(list_Values) 0 None max_time_sub_proc : 3600 parent process len(results) : 7 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 : 10586 list_Values should be empty [] To do loadFromThcl(), then load ParamDescType : thcl3916 Catched exception ! Connect or reconnect ! thcls : [{'id': 3916, 'mtr_user_id': 31, 'name': 'learn_mask_pancarte_110625_2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,badge,pancarte', 'svm_portfolios_learning': '0,0,0', 'photo_hashtag_type': 5014, 'photo_desc_type': 6109, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0'}] thcl {'id': 3916, 'mtr_user_id': 31, 'name': 'learn_mask_pancarte_110625_2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,badge,pancarte', 'svm_portfolios_learning': '0,0,0', 'photo_hashtag_type': 5014, 'photo_desc_type': 6109, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0'} Update svm_hashtag_type_desc : 6109 ['background', 'badge', 'pancarte'] time for calcul the mask position with numpy : 0.0020606517791748047 nb_pixel_total : 111636 time to create 1 rle with old method : 0.11770176887512207 length of segment : 594 time for calcul the mask position with numpy : 0.0010204315185546875 nb_pixel_total : 67373 time to create 1 rle with old method : 0.07077741622924805 length of segment : 270 time for calcul the mask position with numpy : 0.001035928726196289 nb_pixel_total : 116550 time to create 1 rle with old method : 0.12215948104858398 length of segment : 280 time for calcul the mask position with numpy : 0.003273487091064453 nb_pixel_total : 231321 time to create 1 rle with new method : 0.010275840759277344 length of segment : 574 time for calcul the mask position with numpy : 0.017321348190307617 nb_pixel_total : 1103094 time to create 1 rle with new method : 0.07741665840148926 length of segment : 1054 time for calcul the mask position with numpy : 0.0019004344940185547 nb_pixel_total : 136853 time to create 1 rle with old method : 0.13984298706054688 length of segment : 461 time for calcul the mask position with numpy : 0.0018851757049560547 nb_pixel_total : 181211 time to create 1 rle with new method : 0.00442194938659668 length of segment : 610 time for calcul the mask position with numpy : 0.03726601600646973 nb_pixel_total : 2748523 time to create 1 rle with new method : 0.46845436096191406 length of segment : 1198 time for calcul the mask position with numpy : 0.002077817916870117 nb_pixel_total : 166627 time to create 1 rle with new method : 0.005018711090087891 length of segment : 317 time spent for convertir_results : 1.4661738872528076 Inside saveOutput : final : False verbose : 0 eke 12-6-18 : saveMask need to be cleaned for new output ! Number saved : None batch 1 Loaded 38 chid ids of type : 5014 Number RLEs to save : 0 save missing photos in datou_result : time spend for datou_step_exec : 38.2074556350708 time spend to save output : 0.047533512115478516 total time spend for step 1 : 38.25498914718628 step2:split_time_score_with_photo Mon Sep 22 12:16:08 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed Inconsistent list_input size and nb_input information : 0 vs 2 VR 22-3-18 : For now we do not clean correctly the datou structure ----- Debut du copier-coller des param necessaire pour fonction main de STS ----- begin split time score 2022-04-13 10:29:59 0 Catched exception ! Connect or reconnect ! TODO : Insert select and so on Catched exception ! Connect or reconnect ! Begin split_port_in_batch_balle thcls : [{'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] 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'}] ERROR in datou_step_exec, will save and exit ! 'PortfolioQueries' object has no attribute 'mbp_select' File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2332, in datou_exec output = datou_step_exec(sNext, args, cache, context, map_info, verbose, mtr_user_id) File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2658, in datou_step_exec return pre_process.datou_step_split_time_score_with_photo(param, json_param, args, cache, context, map_info, verbose, mtr_user_id) File "/home/admin/workarea/git/Velours/python/mtr/datou/lib_step_exec/lib_step_pre_processing.py", line 1873, in datou_step_split_time_score_with_photo one_result = split_port_in_batch_balle( File "/home/admin/workarea/git/Velours/python/misc/split_time_score.py", line 309, in split_port_in_batch_balle print(context.pq.get_number_photo_by_hour_veolia(int(mtr_portfolio), verbose)) File "/home/admin/workarea/git/Velours/python/mtr/database_queries/portfolio_queries.py", line 398, in get_number_photo_by_hour_veolia query = f"select SUBSTRING(ph.text,16,2) as h, count(*) from MTRUser.mtr_portfolio_photos mpp inner join {self.mbp_select} ph on mpp.mtr_photo_id = ph.photo_id where mpp.mtr_portfolio_id = "+str(port_id)+" group by h" [1385440527, 1385152636, 1385152601, 1385152565, 1385152497, 1385152423, 1385152344] begin to insert list_values into mtr_datou_result : length of list_values in save_final : 7 time used for this insertion : 0.013374567031860352 save_final ERROR in last step split_time_score_with_photo, 'PortfolioQueries' object has no attribute 'mbp_select' time spend for datou_step_exec : 0.690131425857544 time spend to save output : 0.020194530487060547 total time spend for step 1 : 0.7103259563446045 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 7 set_done_treatment 14.95user 26.05system 0:44.62elapsed 91%CPU (0avgtext+0avgdata 3225344maxresident)k 511240inputs+42960outputs (156major+1838939minor)pagefaults 0swaps