python /home/admin/mtr/script_for_cron.py -j coverage -m 9 -a '' -s coverage -M 0 -S 0 -U 100,100,120 import MySQLdb succeeded root_folder /data_4/data_log/job/2026/February/10022026/coverage/ git_velours : /home/admin/workarea/git/Velours/ out_folder_name htmlcov output_folder /data_4/data_log/job/2026/February/10022026/coverage/htmlcov new path : /data_4/data_log/job/2026/February/10022026/coverage/ command : coverage3 run /home/admin/workarea/git/Velours/python/tests/python_tests.py --short_python3 `cat ~/.fotonower_pass/bdd.py.pass` cat: /home/admin/.fotonower_pass/bdd.py.pass: Aucun fichier ou dossier de ce type import MySQLdb succeeded Import error (python version) python version = 3 warning , we can't find thcl infos in json_data warning , we can't find pdt infos in json_data python version used : 3 #&_# BEGIN OF TEST : tests/mask_test #&_# /home/admin/workarea/git/Velours/python/tests/mask_test.py Test mask-detection python version used : 3 ############################### TEST memory used ################################ free memory at begining : begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 2202 run mask_detect Inside batchDatouExec : verbose : False # 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 ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! List Step Type Loaded in datou : mask_detect list_input_json : [] origin BFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 time to download the photos : 0.12536239624023438 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 : False number of steps : 1 step1:mask_detect Tue Feb 10 11:20:28 2026 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Beginning of datou step mask_detect ! save_polygon : True begin detect begin to check gpu status inside check gpu memory havn't enough memory gpu , need / 3000 l 3632 free memory gpu now : 2202 wait 20 seconds l 3637 free memory gpu now : 2202 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 /home/admin/workarea/git/Velours/python/tests/python_tests.py:11: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp 2026-02-10 11:20:53.191084: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2026-02-10 11:20:53.218429: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493010000 Hz 2026-02-10 11:20:53.220440: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f3a64000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2026-02-10 11:20:53.220491: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2026-02-10 11:20:53.224182: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2026-02-10 11:20:53.354679: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1c5f1940 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2026-02-10 11:20:53.354737: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2026-02-10 11:20:53.356157: 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 2026-02-10 11:20:53.356847: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-10 11:20:53.391328: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-10 11:20:53.408493: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2026-02-10 11:20:53.411202: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2026-02-10 11:20:53.430344: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2026-02-10 11:20:53.434017: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2026-02-10 11:20:53.475456: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-10 11:20:53.476745: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2026-02-10 11:20:53.477165: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-10 11:20:53.477830: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2026-02-10 11:20:53.477851: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2026-02-10 11:20:53.477863: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2026-02-10 11:20:53.479591: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1750 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. Inside mask_sub_process Inside mask_detect About to load cache.load_thcl_param To do loadFromThcl(), then load ParamDescType : thcl454 thcls : [{'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}] thcl {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 3473 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3473, 'mask_coco_origin', 16384, 25088, 'mask_coco_origin', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 3, 19, 10, 42, 21), datetime.datetime(2018, 3, 19, 10, 42, 21)) {'thcl': {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'], 'list_hashtags_csv': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'svm_hashtag_type_desc': 3473, 'photo_desc_type': 3473, 'pb_hashtag_id_or_classifier': 0} list_class_names : ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'] Configurations: BACKBONE resnet101 BACKBONE_SHAPES [[160 160] [ 80 80] [ 40 40] [ 20 20] [ 10 10]] BACKBONE_STRIDES [4, 8, 16, 32, 64] BATCH_SIZE 1 BBOX_STD_DEV [0.1 0.1 0.2 0.2] DETECTION_MAX_INSTANCES 100 DETECTION_MIN_CONFIDENCE 0.3 DETECTION_NMS_THRESHOLD 0.3 GPU_COUNT 1 IMAGES_PER_GPU 1 IMAGE_MAX_DIM 640 IMAGE_MIN_DIM 640 IMAGE_PADDING True IMAGE_SHAPE [640 640 3] LEARNING_MOMENTUM 0.9 LEARNING_RATE 0.001 LOSS_WEIGHTS {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0} MASK_POOL_SIZE 14 MASK_SHAPE [28, 28] MAX_GT_INSTANCES 100 MEAN_PIXEL [123.7 116.8 103.9] MINI_MASK_SHAPE (56, 56) NAME mask_coco_origin NUM_CLASSES 81 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 2026-02-10 11:20:54.562990: 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 2026-02-10 11:20:54.563113: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-10 11:20:54.563135: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-10 11:20:54.563155: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2026-02-10 11:20:54.563174: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2026-02-10 11:20:54.563193: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2026-02-10 11:20:54.563211: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2026-02-10 11:20:54.563231: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-10 11:20:54.564151: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2026-02-10 11:20:54.565218: 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 2026-02-10 11:20:54.565256: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-10 11:20:54.565275: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-10 11:20:54.565293: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2026-02-10 11:20:54.565311: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2026-02-10 11:20:54.565328: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2026-02-10 11:20:54.565346: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2026-02-10 11:20:54.565364: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-10 11:20:54.566252: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2026-02-10 11:20:54.566301: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2026-02-10 11:20:54.566314: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2026-02-10 11:20:54.566324: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2026-02-10 11:20:54.567273: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1750 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. RPN_BBOX_STD_DEV [0.1 0.1 0.2 0.2] RPN_NMS_THRESHOLD 0.7 RPN_TRAIN_ANCHORS_PER_IMAGE 256 STEPS_PER_EPOCH 1000 TRAIN_ROIS_PER_IMAGE 200 USE_MINI_MASK True USE_RPN_ROIS True VALIDATION_STEPS 50 WEIGHT_DECAY 0.0001 model_param file didn't exist model_name : mask_coco_origin model_type : mask_rcnn list file need : ['mask_model.h5'] file exist in s3 : ['mask_model.h5'] file manque in s3 : [] 2026-02-10 11:21:03.909318: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-10 11:21:04.248722: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-10 11:21:06.136269: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:06.136331: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:06.142706: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:06.142728: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:06.191820: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:06.191865: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:06.233045: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.09GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:06.233068: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.09GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:06.283820: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.15GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:06.283845: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.15GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:06.285462: W tensorflow/core/common_runtime/bfc_allocator.cc:311] Garbage collection: deallocate free memory regions (i.e., allocations) so that we can re-allocate a larger region to avoid OOM due to memory fragmentation. If you see this message frequently, you are running near the threshold of the available device memory and re-allocation may incur great performance overhead. You may try smaller batch sizes to observe the performance impact. Set TF_ENABLE_GPU_GARBAGE_COLLECTION=false if you'd like to disable this feature. 2026-02-10 11:21:06.307076: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.307543: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.09G (1169562112 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.308020: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.315715: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.316193: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.320865: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.321343: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.333613: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.334092: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.335697: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.336174: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.347556: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.348214: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.350218: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.350918: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.357399: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.357878: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.359506: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.359983: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.386465: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.386952: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.387425: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.387899: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.391750: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.392227: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.408834: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.409315: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.409788: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.410270: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.422761: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.423241: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.423714: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.424187: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.428526: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.429005: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.433288: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.433816: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.445698: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.446176: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.450180: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.450675: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.471120: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.471599: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.472086: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.472558: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.473030: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.473501: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.517169: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.517233: W tensorflow/core/kernels/gpu_utils.cc:49] Failed to allocate memory for convolution redzone checking; skipping this check. This is benign and only means that we won't check cudnn for out-of-bounds reads and writes. This message will only be printed once. 2026-02-10 11:21:06.518130: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.519056: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.525984: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.526486: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.534428: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.534988: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.556600: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.557597: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.558656: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.559593: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.563525: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.564048: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.564574: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.565101: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.566609: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.576023: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.576505: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.586487: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.587022: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.587560: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.588044: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.588530: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:06.589008: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory local folder : /data/models_weight/mask_coco_origin /data/models_weight/mask_coco_origin/mask_model.h5 size_local : 257557808 size in s3 : 257557808 create time local : 2021-08-09 05:27:17 create time in s3 : 2021-08-06 19:45:17 mask_model.h5 already exist and didn't need to update list_images length : 1 NEW PHOTO Processing 1 images image shape: (480, 640, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 89) min: 0.00000 max: 640.00000 nb d'objets trouves : 5 Detection mask done ! Trying to reset tf kernel 1338898 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 1009 tf kernel not reseted sub process len(results) : 1 len(list_Values) 0 None max_time_sub_proc : 3600 parent process len(results) : 1 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 : 2202 list_Values should be empty [] To do loadFromThcl(), then load ParamDescType : thcl454 Catched exception ! Connect or reconnect ! thcls : [{'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}] thcl {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 3473 ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'] DEBUG bbox = [22, 0, 282, 186] DEBUG masks shape = (480, 640) time for calcul the mask position with numpy : 0.0005533695220947266 nb_pixel_total : 15552 time to create 1 rle with old method : 0.03414320945739746 length of segment : 256 DEBUG bbox = [16, 11, 411, 595] DEBUG masks shape = (480, 640) time for calcul the mask position with numpy : 0.0027976036071777344 nb_pixel_total : 144905 time to create 1 rle with old method : 0.3005251884460449 length of segment : 374 DEBUG bbox = [23, 485, 174, 636] DEBUG masks shape = (480, 640) time for calcul the mask position with numpy : 0.00023627281188964844 nb_pixel_total : 14255 time to create 1 rle with old method : 0.03077864646911621 length of segment : 151 DEBUG bbox = [2, 280, 55, 481] DEBUG masks shape = (480, 640) time for calcul the mask position with numpy : 0.00011444091796875 nb_pixel_total : 5613 time to create 1 rle with old method : 0.01258087158203125 length of segment : 48 DEBUG bbox = [6, 456, 45, 547] DEBUG masks shape = (480, 640) time for calcul the mask position with numpy : 6.151199340820312e-05 nb_pixel_total : 1825 time to create 1 rle with old method : 0.004189252853393555 length of segment : 39 time spent for convertir_results : 1.3343322277069092 time spend for datou_step_exec : 42.38380789756775 time spend to save output : 4.887580871582031e-05 total time spend for step 1 : 42.383856773376465 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : False eke 12-6-18 : saveMask need to be cleaned for new output ! Number saved : None batch 1 Loaded 3424 chid ids of type : 445 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0 begin to insert list_values into mtr_datou_result : length of list_values in save_final : 1 time used for this insertion : 0.019704341888427734 save missing photos in datou_result : After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {'957285035': [[(957285035, 492601069, 445, 0, 186, 22, 282, 0.9954856, [(140, 26, 6), (135, 27, 15), (133, 28, 18), (131, 29, 22), (126, 30, 28), (10, 31, 1), (120, 31, 35), (8, 32, 13), (27, 32, 3), (115, 32, 41), (7, 33, 52), (109, 33, 48), (6, 34, 70), (103, 34, 55), (5, 35, 154), (4, 36, 155), (3, 37, 156), (3, 38, 156), (3, 39, 156), (2, 40, 157), (2, 41, 157), (2, 42, 157), (2, 43, 157), (2, 44, 157), (2, 45, 157), (1, 46, 158), (1, 47, 158), (1, 48, 158), (1, 49, 157), (1, 50, 157), (1, 51, 156), (1, 52, 156), (1, 53, 155), (1, 54, 154), (1, 55, 152), (1, 56, 149), (1, 57, 145), (1, 58, 141), (1, 59, 136), (1, 60, 133), (1, 61, 130), (1, 62, 127), (1, 63, 126), (1, 64, 124), (1, 65, 123), (1, 66, 121), (1, 67, 120), (1, 68, 118), (1, 69, 117), (1, 70, 116), (1, 71, 115), (1, 72, 114), (1, 73, 113), (1, 74, 112), (1, 75, 111), (1, 76, 110), (1, 77, 108), (1, 78, 108), (1, 79, 107), (1, 80, 106), (1, 81, 105), (2, 82, 104), (2, 83, 103), (2, 84, 103), (2, 85, 102), (2, 86, 102), (2, 87, 101), (2, 88, 100), (2, 89, 99), (2, 90, 99), (2, 91, 98), (2, 92, 97), (2, 93, 96), (2, 94, 95), (2, 95, 93), (2, 96, 91), (2, 97, 90), (2, 98, 89), (2, 99, 87), (2, 100, 86), (2, 101, 86), (2, 102, 85), (2, 103, 84), (2, 104, 83), (2, 105, 83), (2, 106, 82), (2, 107, 81), (2, 108, 80), (2, 109, 80), (2, 110, 79), (2, 111, 78), (2, 112, 77), (2, 113, 76), (1, 114, 76), (1, 115, 75), (1, 116, 74), (1, 117, 73), (1, 118, 72), (1, 119, 71), (1, 120, 71), (1, 121, 70), (1, 122, 69), (1, 123, 69), (1, 124, 68), (1, 125, 68), (1, 126, 67), (1, 127, 67), (1, 128, 66), (1, 129, 66), (1, 130, 66), (1, 131, 65), (1, 132, 65), (1, 133, 64), (1, 134, 63), (1, 135, 63), (1, 136, 62), (1, 137, 61), (1, 138, 60), (1, 139, 60), (1, 140, 59), (1, 141, 58), (1, 142, 58), (1, 143, 57), (1, 144, 56), (1, 145, 56), (1, 146, 55), (1, 147, 54), (1, 148, 54), (1, 149, 53), (1, 150, 52), (1, 151, 52), (1, 152, 51), (1, 153, 50), (1, 154, 49), (1, 155, 48), (1, 156, 47), (1, 157, 46), (1, 158, 45), (1, 159, 45), (1, 160, 44), (1, 161, 43), (1, 162, 42), (1, 163, 41), (1, 164, 41), (1, 165, 40), (1, 166, 40), (1, 167, 39), (1, 168, 38), (1, 169, 37), (1, 170, 36), (1, 171, 35), (1, 172, 34), (1, 173, 34), (1, 174, 33), (1, 175, 33), (1, 176, 32), (1, 177, 32), (1, 178, 32), (1, 179, 32), (1, 180, 31), (1, 181, 31), (1, 182, 31), (1, 183, 30), (1, 184, 30), (1, 185, 30), (1, 186, 29), (1, 187, 29), (1, 188, 29), (1, 189, 28), (1, 190, 28), (1, 191, 27), (1, 192, 27), (1, 193, 26), (1, 194, 26), (1, 195, 26), (1, 196, 26), (1, 197, 26), (1, 198, 26), (1, 199, 26), (1, 200, 25), (1, 201, 25), (1, 202, 25), (1, 203, 25), (1, 204, 25), (1, 205, 25), (1, 206, 25), (1, 207, 25), (1, 208, 25), (1, 209, 25), (1, 210, 25), (1, 211, 25), (1, 212, 25), (1, 213, 25), (1, 214, 25), (1, 215, 25), (1, 216, 25), (1, 217, 25), (1, 218, 25), (1, 219, 25), (1, 220, 24), (1, 221, 24), (1, 222, 24), (1, 223, 24), (1, 224, 24), (1, 225, 24), (1, 226, 25), (1, 227, 25), (1, 228, 25), (2, 229, 24), (2, 230, 24), (2, 231, 24), (2, 232, 23), (2, 233, 23), (2, 234, 23), (2, 235, 23), (2, 236, 23), (2, 237, 23), (2, 238, 23), (2, 239, 23), (2, 240, 23), (2, 241, 23), (2, 242, 23), (2, 243, 23), (2, 244, 23), (2, 245, 23), (2, 246, 23), (2, 247, 23), (2, 248, 23), (2, 249, 24), (2, 250, 24), (2, 251, 23), (2, 252, 23), (2, 253, 23), (2, 254, 23), (2, 255, 23), (2, 256, 23), (2, 257, 23), (2, 258, 23), (2, 259, 23), (2, 260, 23), (2, 261, 23), (3, 262, 22), (3, 263, 22), (3, 264, 22), (3, 265, 22), (4, 266, 21), (4, 267, 21), (5, 268, 20), (5, 269, 20), (6, 270, 19), (7, 271, 17), (8, 272, 16), (8, 273, 16), (9, 274, 13), (11, 275, 9), (15, 276, 2)], ['16,276,8,273,2,261,2,229,1,228,1,114,2,113,2,82,1,81,1,46,3,37,8,32,20,32,21,33,58,33,59,34,75,34,76,35,102,35,114,33,120,31,130,30,135,27,145,26,152,29,158,35,158,48,154,54,141,58,128,61,119,67,105,81,103,86,96,94,89,98,81,109,71,119,65,132,60,138,52,151,45,158,40,166,34,172,29,188,26,193,25,200,25,226,24,232,24,270,23,273']), (957285035, 492601069, 445, 11, 595, 16, 411, 0.99102134, [(292, 34, 57), (268, 35, 110), (257, 36, 125), (248, 37, 138), (243, 38, 147), (237, 39, 157), (228, 40, 173), (187, 41, 227), (183, 42, 241), (179, 43, 254), (176, 44, 267), (172, 45, 282), (169, 46, 292), (165, 47, 300), (162, 48, 306), (158, 49, 313), (155, 50, 318), (152, 51, 323), (150, 52, 328), (148, 53, 332), (146, 54, 336), (145, 55, 338), (145, 56, 339), (144, 57, 341), (143, 58, 344), (142, 59, 346), (141, 60, 348), (139, 61, 351), (138, 62, 352), (137, 63, 354), (136, 64, 356), (135, 65, 358), (133, 66, 361), (132, 67, 362), (131, 68, 365), (130, 69, 367), (129, 70, 369), (127, 71, 373), (126, 72, 376), (125, 73, 378), (123, 74, 382), (121, 75, 385), (119, 76, 388), (116, 77, 392), (114, 78, 395), (111, 79, 399), (108, 80, 402), (105, 81, 406), (103, 82, 408), (102, 83, 410), (101, 84, 411), (100, 85, 413), (99, 86, 415), (98, 87, 416), (97, 88, 418), (96, 89, 420), (95, 90, 422), (94, 91, 423), (93, 92, 425), (92, 93, 427), (92, 94, 428), (92, 95, 429), (91, 96, 432), (91, 97, 433), (91, 98, 434), (91, 99, 435), (90, 100, 437), (90, 101, 438), (90, 102, 439), (90, 103, 440), (90, 104, 441), (89, 105, 443), (89, 106, 443), (89, 107, 444), (88, 108, 445), (88, 109, 446), (87, 110, 447), (87, 111, 448), (86, 112, 450), (85, 113, 451), (84, 114, 453), (83, 115, 455), (83, 116, 455), (82, 117, 457), (81, 118, 459), (80, 119, 461), (80, 120, 462), (79, 121, 464), (78, 122, 466), (78, 123, 467), (78, 124, 468), (78, 125, 469), (77, 126, 471), (77, 127, 471), (77, 128, 472), (77, 129, 473), (76, 130, 474), (76, 131, 475), (76, 132, 475), (75, 133, 477), (75, 134, 477), (75, 135, 478), (74, 136, 479), (74, 137, 479), (73, 138, 481), (73, 139, 481), (73, 140, 481), (72, 141, 483), (72, 142, 483), (71, 143, 484), (71, 144, 485), (71, 145, 485), (70, 146, 486), (70, 147, 487), (69, 148, 488), (69, 149, 488), (68, 150, 490), (67, 151, 491), (65, 152, 494), (63, 153, 496), (62, 154, 498), (61, 155, 499), (59, 156, 502), (58, 157, 504), (57, 158, 505), (56, 159, 507), (55, 160, 509), (54, 161, 511), (53, 162, 512), (52, 163, 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(474, 33, 36), (475, 34, 33), (475, 35, 32), (476, 36, 30), (476, 37, 29), (477, 38, 26), (478, 39, 23), (479, 40, 20), (480, 41, 17), (488, 42, 5)], ['492,42,488,42,487,41,480,41,476,37,475,34,473,32,469,25,465,21,461,20,457,16,457,10,466,9,470,12,474,13,476,11,480,10,482,8,500,8,501,9,524,9,525,10,528,10,532,12,539,12,542,15,545,15,545,19,535,20,534,21,529,21,525,23,523,23,513,30,512,30,504,37,496,41,493,41'])], 'temp/1770718828_1338674_957285035_a42482e51c93c8025d243dd179aee85b.jpg']} free memory after detection : begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 2202 ############################### TEST detect object ################################ run mask_detect Inside batchDatouExec : verbose : False # 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 ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! List Step Type Loaded in datou : mask_detect list_input_json : [] origin BFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 time to download the photos : 0.140272855758667 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 : False number of steps : 1 step1:mask_detect Tue Feb 10 11:21:15 2026 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Beginning of datou step mask_detect ! save_polygon : True begin detect begin to check gpu status inside check gpu memory havn't enough memory gpu , need / 3000 l 3632 free memory gpu now : 2202 wait 20 seconds l 3637 free memory gpu now : 2202 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2026-02-10 11:21:38.336358: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2026-02-10 11:21:38.362555: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493010000 Hz 2026-02-10 11:21:38.365298: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f3a5c000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2026-02-10 11:21:38.365377: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2026-02-10 11:21:38.370026: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2026-02-10 11:21:38.528488: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1d00c7b0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2026-02-10 11:21:38.528543: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2026-02-10 11:21:38.529553: 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 2026-02-10 11:21:38.529983: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-10 11:21:38.533303: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-10 11:21:38.536326: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2026-02-10 11:21:38.536846: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2026-02-10 11:21:38.540113: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2026-02-10 11:21:38.541167: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2026-02-10 11:21:38.545646: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-10 11:21:38.546673: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2026-02-10 11:21:38.546755: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-10 11:21:38.547247: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2026-02-10 11:21:38.547262: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2026-02-10 11:21:38.547271: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2026-02-10 11:21:38.548076: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1750 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. 2026-02-10 11:21:38.658901: 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 2026-02-10 11:21:38.659042: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-10 11:21:38.659063: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-10 11:21:38.659083: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2026-02-10 11:21:38.659116: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2026-02-10 11:21:38.659135: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2026-02-10 11:21:38.659153: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2026-02-10 11:21:38.659172: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-10 11:21:38.659880: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2026-02-10 11:21:38.660778: 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 2026-02-10 11:21:38.660808: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-10 11:21:38.660825: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-10 11:21:38.660840: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2026-02-10 11:21:38.660855: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2026-02-10 11:21:38.660870: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2026-02-10 11:21:38.660885: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2026-02-10 11:21:38.660900: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-10 11:21:38.661585: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2026-02-10 11:21:38.661617: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2026-02-10 11:21:38.661625: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2026-02-10 11:21:38.661632: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2026-02-10 11:21:38.662378: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1750 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 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3473, 'mask_coco_origin', 16384, 25088, 'mask_coco_origin', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 3, 19, 10, 42, 21), datetime.datetime(2018, 3, 19, 10, 42, 21)) {'thcl': {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'], 'list_hashtags_csv': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'svm_hashtag_type_desc': 3473, 'photo_desc_type': 3473, 'pb_hashtag_id_or_classifier': 0} list_class_names : ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'] Configurations: BACKBONE resnet101 BACKBONE_SHAPES [[160 160] [ 80 80] [ 40 40] [ 20 20] [ 10 10]] BACKBONE_STRIDES [4, 8, 16, 32, 64] BATCH_SIZE 1 BBOX_STD_DEV [0.1 0.1 0.2 0.2] DETECTION_MAX_INSTANCES 100 DETECTION_MIN_CONFIDENCE 0.3 DETECTION_NMS_THRESHOLD 0.3 GPU_COUNT 1 IMAGES_PER_GPU 1 IMAGE_MAX_DIM 640 IMAGE_MIN_DIM 640 IMAGE_PADDING True IMAGE_SHAPE [640 640 3] LEARNING_MOMENTUM 0.9 LEARNING_RATE 0.001 LOSS_WEIGHTS {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0} MASK_POOL_SIZE 14 MASK_SHAPE [28, 28] MAX_GT_INSTANCES 100 MEAN_PIXEL [123.7 116.8 103.9] MINI_MASK_SHAPE (56, 56) NAME mask_coco_origin NUM_CLASSES 81 POOL_SIZE 7 POST_NMS_ROIS_INFERENCE 1000 POST_NMS_ROIS_TRAINING 2000 ROI_POSITIVE_RATIO 0.33 RPN_ANCHOR_RATIOS [0.5, 1, 2] RPN_ANCHOR_SCALES (16, 32, 64, 128, 256) RPN_ANCHOR_STRIDE 1 RPN_BBOX_STD_DEV [0.1 0.1 0.2 0.2] RPN_NMS_THRESHOLD 0.7 RPN_TRAIN_ANCHORS_PER_IMAGE 256 STEPS_PER_EPOCH 1000 TRAIN_ROIS_PER_IMAGE 200 USE_MINI_MASK True USE_RPN_ROIS True VALIDATION_STEPS 50 WEIGHT_DECAY 0.0001 model_param file didn't exist model_name : mask_coco_origin model_type : mask_rcnn list file need : ['mask_model.h5'] file exist in s3 : ['mask_model.h5'] file manque in s3 : [] 2026-02-10 11:21:46.511808: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-10 11:21:46.658866: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-10 11:21:47.908288: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:47.908342: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:47.914842: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:47.914868: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:47.964435: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:47.964483: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:48.006514: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.09GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:48.006546: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.09GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:48.057938: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.15GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:48.057974: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.15GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:21:48.059622: W tensorflow/core/common_runtime/bfc_allocator.cc:311] Garbage collection: deallocate free memory regions (i.e., allocations) so that we can re-allocate a larger region to avoid OOM due to memory fragmentation. If you see this message frequently, you are running near the threshold of the available device memory and re-allocation may incur great performance overhead. You may try smaller batch sizes to observe the performance impact. Set TF_ENABLE_GPU_GARBAGE_COLLECTION=false if you'd like to disable this feature. 2026-02-10 11:21:48.075168: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.075685: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.09G (1169562112 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.076451: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.085191: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.086072: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.091031: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.091559: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.103730: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.104235: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.105667: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.106152: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.111517: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.112056: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.113599: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.114087: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.119533: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.120069: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.121544: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.122063: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.147672: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.148159: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.148638: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.149130: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.152516: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.153001: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.169276: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.169819: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.170329: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.170851: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.182972: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.183459: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.183937: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.184415: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.188561: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.189083: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.193568: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.194052: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.206260: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.206810: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.210879: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.211363: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.232147: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.232677: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.233215: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.233694: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.234216: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.234783: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.272951: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.273030: W tensorflow/core/kernels/gpu_utils.cc:49] Failed to allocate memory for convolution redzone checking; skipping this check. This is benign and only means that we won't check cudnn for out-of-bounds reads and writes. This message will only be printed once. 2026-02-10 11:21:48.274003: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.275015: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.282216: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.282944: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.290975: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.291493: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.305832: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.306385: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.306924: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.307441: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.311347: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.311828: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.312315: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.312791: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.313591: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.323882: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.324409: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.334509: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.335009: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.335543: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.336067: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.336584: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:21:48.337066: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory local folder : /data/models_weight/mask_coco_origin /data/models_weight/mask_coco_origin/mask_model.h5 size_local : 257557808 size in s3 : 257557808 create time local : 2021-08-09 05:27:17 create time in s3 : 2021-08-06 19:45:17 mask_model.h5 already exist and didn't need to update list_images length : 1 NEW PHOTO Processing 1 images image shape: (720, 1280, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 89) min: 0.00000 max: 1280.00000 nb d'objets trouves : 4 Detection mask done ! Trying to reset tf kernel 1339610 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 1009 tf kernel not reseted sub process len(results) : 1 len(list_Values) 0 None max_time_sub_proc : 3600 parent process len(results) : 1 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 : 2202 list_Values should be empty [] ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'] DEBUG bbox = [0, 1092, 108, 1280] DEBUG masks shape = (720, 1280) time for calcul the mask position with numpy : 0.0006883144378662109 nb_pixel_total : 16902 time to create 1 rle with old method : 0.03860926628112793 length of segment : 107 DEBUG bbox = [16, 52, 668, 1128] DEBUG masks shape = (720, 1280) time for calcul the mask position with numpy : 0.019346952438354492 nb_pixel_total : 480739 time to create 1 rle with new method : 0.028195619583129883 length of segment : 632 DEBUG bbox = [0, 0, 116, 438] DEBUG masks shape = (720, 1280) time for calcul the mask position with numpy : 0.00045680999755859375 nb_pixel_total : 36585 time to create 1 rle with old method : 0.07575345039367676 length of segment : 132 DEBUG bbox = [0, 390, 54, 550] DEBUG masks shape = (720, 1280) time for calcul the mask position with numpy : 0.00010156631469726562 nb_pixel_total : 4793 time to create 1 rle with old method : 0.010585546493530273 length of segment : 51 time spent for convertir_results : 0.4265098571777344 time spend for datou_step_exec : 36.93757891654968 time spend to save output : 4.029273986816406e-05 total time spend for step 1 : 36.93761920928955 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : False eke 12-6-18 : saveMask need to be cleaned for new output ! Catched exception ! Connect or reconnect ! Number saved : None batch 1 Loaded 447 chid ids of type : 445 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0 begin to insert list_values into mtr_datou_result : length of list_values in save_final : 1 time used for this insertion : 0.015445470809936523 save missing photos in datou_result : After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {'917855882': [[(917855882, 492601069, 445, 1092, 1280, 0, 108, 0.9988367, [(1205, 1, 58), (1165, 2, 105), (1159, 3, 113), (1149, 4, 124), (1113, 5, 161), (1100, 6, 174), (1097, 7, 177), (1095, 8, 179), (1095, 9, 179), (1095, 10, 179), (1095, 11, 179), (1095, 12, 179), (1095, 13, 179), (1095, 14, 178), (1095, 15, 178), (1095, 16, 178), (1095, 17, 178), (1095, 18, 177), (1095, 19, 177), (1095, 20, 177), (1095, 21, 177), (1095, 22, 177), (1095, 23, 178), (1095, 24, 178), (1095, 25, 178), (1095, 26, 179), (1095, 27, 179), (1095, 28, 180), (1095, 29, 181), (1095, 30, 182), (1095, 31, 183), (1095, 32, 183), (1095, 33, 184), (1095, 34, 184), (1096, 35, 183), (1096, 36, 183), (1096, 37, 184), (1097, 38, 183), (1097, 39, 183), (1097, 40, 183), (1098, 41, 182), (1098, 42, 182), (1098, 43, 182), (1099, 44, 181), (1099, 45, 181), (1099, 46, 181), (1100, 47, 180), (1100, 48, 180), (1101, 49, 179), (1101, 50, 179), (1102, 51, 178), (1102, 52, 178), (1103, 53, 177), (1103, 54, 177), (1104, 55, 176), (1104, 56, 176), (1104, 57, 176), (1104, 58, 176), (1105, 59, 175), (1105, 60, 175), (1105, 61, 175), (1105, 62, 175), (1105, 63, 175), (1106, 64, 174), (1106, 65, 174), (1106, 66, 174), (1106, 67, 174), (1106, 68, 174), (1106, 69, 174), (1106, 70, 174), (1106, 71, 174), (1106, 72, 174), (1106, 73, 174), (1107, 74, 173), (1107, 75, 173), (1107, 76, 173), (1107, 77, 173), (1107, 78, 173), (1107, 79, 173), (1108, 80, 172), (1108, 81, 172), (1109, 82, 171), (1110, 83, 170), (1110, 84, 170), (1111, 85, 169), (1112, 86, 168), (1113, 87, 166), (1114, 88, 165), (1115, 89, 164), (1117, 90, 162), (1120, 91, 159), (1138, 92, 141), (1146, 93, 133), (1154, 94, 125), (1167, 95, 112), (1177, 96, 102), (1183, 97, 95), (1185, 98, 93), (1187, 99, 90), (1188, 100, 55), (1264, 100, 12), (1190, 101, 50), (1191, 102, 46), (1194, 103, 40), (1197, 104, 34), (1202, 105, 25), (1207, 106, 16)], ['1222,106,1207,106,1206,105,1197,104,1191,102,1182,96,1176,95,1167,95,1166,94,1154,94,1153,93,1146,93,1145,92,1137,91,1120,91,1115,89,1110,84,1107,79,1106,73,1106,64,1104,55,1099,46,1095,34,1095,8,1100,6,1112,6,1113,5,1148,5,1149,4,1158,4,1165,2,1204,2,1205,1,1262,1,1269,2,1273,5,1273,13,1271,18,1271,22,1273,27,1277,31,1279,37,1279,86,1278,87,1278,96,1275,100,1264,100,1263,99,1243,99,1230,104']), (917855882, 492601069, 445, 52, 1128, 16, 668, 0.9977476, [(710, 22, 23), (926, 22, 46), (608, 23, 146), (894, 23, 103), (598, 24, 234), (849, 24, 159), (590, 25, 427), (582, 26, 444), (575, 27, 458), (569, 28, 466), (565, 29, 472), (560, 30, 480), (556, 31, 486), (550, 32, 495), (544, 33, 503), (538, 34, 512), (532, 35, 520), (527, 36, 527), (523, 37, 534), (518, 38, 541), (514, 39, 548), (510, 40, 554), (506, 41, 561), (503, 42, 566), (499, 43, 572), (496, 44, 577), (493, 45, 582), (491, 46, 585), (489, 47, 589), (487, 48, 592), (485, 49, 595), (483, 50, 598), (482, 51, 600), (481, 52, 602), (480, 53, 603), (479, 54, 605), (478, 55, 606), (477, 56, 607), (475, 57, 610), (474, 58, 611), (473, 59, 613), (472, 60, 614), (470, 61, 616), (469, 62, 618), (468, 63, 619), (466, 64, 621), (465, 65, 623), (464, 66, 624), (462, 67, 626), (461, 68, 628), (459, 69, 630), (458, 70, 631), (456, 71, 633), (455, 72, 635), (453, 73, 637), (452, 74, 638), (451, 75, 639), (450, 76, 640), (448, 77, 642), (447, 78, 643), (446, 79, 644), (445, 80, 645), (444, 81, 646), (442, 82, 648), (441, 83, 649), (440, 84, 650), (439, 85, 651), (438, 86, 652), (437, 87, 653), (436, 88, 654), (435, 89, 655), (434, 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(917855882, 492601069, 445, 390, 550, 0, 54, 0.9392625, [(414, 0, 7), (441, 0, 60), (508, 0, 28), (402, 1, 142), (401, 2, 146), (402, 3, 145), (404, 4, 143), (406, 5, 140), (408, 6, 137), (410, 7, 134), (411, 8, 132), (412, 9, 130), (413, 10, 127), (414, 11, 125), (415, 12, 123), (415, 13, 122), (416, 14, 120), (417, 15, 117), (417, 16, 116), (418, 17, 114), (418, 18, 113), (418, 19, 111), (418, 20, 109), (419, 21, 107), (419, 22, 105), (419, 23, 103), (419, 24, 102), (420, 25, 99), (420, 26, 97), (420, 27, 95), (420, 28, 94), (421, 29, 91), (421, 30, 90), (422, 31, 88), (422, 32, 88), (422, 33, 87), (423, 34, 84), (423, 35, 82), (423, 36, 81), (424, 37, 79), (424, 38, 77), (424, 39, 75), (424, 40, 73), (424, 41, 71), (425, 42, 67), (425, 43, 66), (426, 44, 62), (426, 45, 6), (433, 45, 52), (443, 46, 30), (450, 47, 1)], ['449,46,443,46,442,45,426,45,424,41,424,37,423,36,422,31,420,28,420,25,419,24,419,21,418,20,418,17,417,15,409,6,402,3,402,1,413,1,414,0,420,0,421,1,440,1,441,0,500,0,501,1,507,1,508,0,535,0,536,1,543,1,546,2,546,4,542,8,530,18,527,19,525,21,522,22,520,24,512,28,508,33,505,34,502,37,494,41,492,41,490,43,488,43,484,45,473,45,472,46'])], 'temp/1770718874_1338674_917855882_da0fa7b7e6b5b551fe26c0ba8713276d.jpg']} ############################### TEST POLYGON ################################ Inside batchDatouExec : verbose : False # 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 ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! List Step Type Loaded in datou : mask_detect list_input_json : [] origin BFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 time to download the photos : 0.16434097290039062 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 : False number of steps : 1 step1:mask_detect Tue Feb 10 11:21:54 2026 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Beginning of datou step mask_detect ! save_polygon : True begin detect begin to check gpu status inside check gpu memory havn't enough memory gpu , need / 3000 l 3632 free memory gpu now : 2202 wait 20 seconds l 3637 free memory gpu now : 2202 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2026-02-10 11:22:17.068488: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2026-02-10 11:22:17.098525: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493010000 Hz 2026-02-10 11:22:17.100579: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f3a60000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2026-02-10 11:22:17.100624: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2026-02-10 11:22:17.104015: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2026-02-10 11:22:17.217222: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1cdb2db0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2026-02-10 11:22:17.217259: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2026-02-10 11:22:17.218114: 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 2026-02-10 11:22:17.218467: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-10 11:22:17.221370: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-10 11:22:17.223904: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2026-02-10 11:22:17.224396: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2026-02-10 11:22:17.227521: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2026-02-10 11:22:17.228443: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2026-02-10 11:22:17.232313: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-10 11:22:17.233245: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2026-02-10 11:22:17.233305: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-10 11:22:17.233791: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2026-02-10 11:22:17.233805: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2026-02-10 11:22:17.233813: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2026-02-10 11:22:17.234644: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1750 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. 2026-02-10 11:22:17.348920: 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 2026-02-10 11:22:17.349011: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-10 11:22:17.349049: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-10 11:22:17.349071: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2026-02-10 11:22:17.349093: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2026-02-10 11:22:17.349114: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2026-02-10 11:22:17.349134: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2026-02-10 11:22:17.349155: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-10 11:22:17.350095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2026-02-10 11:22:17.351242: 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 2026-02-10 11:22:17.351285: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2026-02-10 11:22:17.351308: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-10 11:22:17.351327: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2026-02-10 11:22:17.351346: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2026-02-10 11:22:17.351364: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2026-02-10 11:22:17.351383: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2026-02-10 11:22:17.351401: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-10 11:22:17.352174: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2026-02-10 11:22:17.352204: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2026-02-10 11:22:17.352213: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2026-02-10 11:22:17.352221: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2026-02-10 11:22:17.353067: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1750 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 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (3473, 'mask_coco_origin', 16384, 25088, 'mask_coco_origin', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2018, 3, 19, 10, 42, 21), datetime.datetime(2018, 3, 19, 10, 42, 21)) {'thcl': {'id': 454, 'mtr_user_id': 31, 'name': 'mask_coco_origin', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'photo_desc_type': 3473, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'], 'list_hashtags_csv': 'backgroud,person,bicycle,car,motorcycle,airplane,bus,train,truck,boat,trafficlight,firehydrant,stopsign,parkingmeter,bench,bird,cat,dog,horse,sheep,cow,elephant,bear,zebra,giraffe,backpack,umbrella,handbag,tie,suitcase,frisbee,skis,snowboard,sportsball,kite,baseballbat,baseballglove,skateboard,surfboard,tennisracket,bottle,wineglass,cup,fork,knife,spoon,bowl,banana,apple,sandwich,orange,broccoli,carrot,hotdog,pizza,donut,cake,chair,couch,pottedplant,bed,diningtable,toilet,tv,laptop,mouse,remote,keyboard,cellphone,microwave,oven,toaster,sink,refrigerator,book,clock,vase,scissors,teddybear,hairdrier,toothbrush', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 445, 'svm_hashtag_type_desc': 3473, 'photo_desc_type': 3473, 'pb_hashtag_id_or_classifier': 0} list_class_names : ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'] Configurations: BACKBONE resnet101 BACKBONE_SHAPES [[160 160] [ 80 80] [ 40 40] [ 20 20] [ 10 10]] BACKBONE_STRIDES [4, 8, 16, 32, 64] BATCH_SIZE 1 BBOX_STD_DEV [0.1 0.1 0.2 0.2] DETECTION_MAX_INSTANCES 100 DETECTION_MIN_CONFIDENCE 0.3 DETECTION_NMS_THRESHOLD 0.3 GPU_COUNT 1 IMAGES_PER_GPU 1 IMAGE_MAX_DIM 640 IMAGE_MIN_DIM 640 IMAGE_PADDING True IMAGE_SHAPE [640 640 3] LEARNING_MOMENTUM 0.9 LEARNING_RATE 0.001 LOSS_WEIGHTS {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0} MASK_POOL_SIZE 14 MASK_SHAPE [28, 28] MAX_GT_INSTANCES 100 MEAN_PIXEL [123.7 116.8 103.9] MINI_MASK_SHAPE (56, 56) NAME mask_coco_origin NUM_CLASSES 81 POOL_SIZE 7 POST_NMS_ROIS_INFERENCE 1000 POST_NMS_ROIS_TRAINING 2000 ROI_POSITIVE_RATIO 0.33 RPN_ANCHOR_RATIOS [0.5, 1, 2] RPN_ANCHOR_SCALES (16, 32, 64, 128, 256) RPN_ANCHOR_STRIDE 1 RPN_BBOX_STD_DEV [0.1 0.1 0.2 0.2] RPN_NMS_THRESHOLD 0.7 RPN_TRAIN_ANCHORS_PER_IMAGE 256 STEPS_PER_EPOCH 1000 TRAIN_ROIS_PER_IMAGE 200 USE_MINI_MASK True USE_RPN_ROIS True VALIDATION_STEPS 50 WEIGHT_DECAY 0.0001 model_param file didn't exist model_name : mask_coco_origin model_type : mask_rcnn list file need : ['mask_model.h5'] file exist in s3 : ['mask_model.h5'] file manque in s3 : [] 2026-02-10 11:22:26.102527: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2026-02-10 11:22:26.272839: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2026-02-10 11:22:27.618736: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:22:27.618798: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:22:27.625143: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:22:27.625164: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:22:27.675176: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:22:27.675251: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:22:27.716806: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.09GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:22:27.716847: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.09GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:22:27.767627: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.15GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:22:27.767657: W tensorflow/core/common_runtime/bfc_allocator.cc:245] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.15GiB with freed_by_count=0. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available. 2026-02-10 11:22:27.769296: W tensorflow/core/common_runtime/bfc_allocator.cc:311] Garbage collection: deallocate free memory regions (i.e., allocations) so that we can re-allocate a larger region to avoid OOM due to memory fragmentation. If you see this message frequently, you are running near the threshold of the available device memory and re-allocation may incur great performance overhead. You may try smaller batch sizes to observe the performance impact. Set TF_ENABLE_GPU_GARBAGE_COLLECTION=false if you'd like to disable this feature. 2026-02-10 11:22:27.791084: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.791556: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.09G (1169562112 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.792035: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.799754: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.800234: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.804912: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.805391: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.817722: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.818205: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.819803: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.820283: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.826632: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.827134: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.828900: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.829375: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.835898: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.836380: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.837978: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.838472: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.865743: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.866236: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.866762: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.867266: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.870655: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.871141: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.886081: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.886576: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.887055: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.887530: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.899547: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.900030: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.900507: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.900984: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.905042: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.905523: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.909959: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.910461: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.922472: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.922956: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.927007: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.927488: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.947964: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.948442: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.948929: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.949403: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.949875: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.950415: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.987253: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.987316: W tensorflow/core/kernels/gpu_utils.cc:49] Failed to allocate memory for convolution redzone checking; skipping this check. This is benign and only means that we won't check cudnn for out-of-bounds reads and writes. This message will only be printed once. 2026-02-10 11:22:27.987825: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.988314: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.996003: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:27.996499: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.004373: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.004852: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.018813: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.019315: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.019795: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.020266: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.024195: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.024685: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.025156: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.025626: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.026457: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.036609: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.037079: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.047251: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.047724: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.048199: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.048665: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.049139: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory 2026-02-10 11:22:28.049604: I tensorflow/stream_executor/cuda/cuda_driver.cc:763] failed to allocate 1.21G (1299513344 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY: out of memory local folder : /data/models_weight/mask_coco_origin /data/models_weight/mask_coco_origin/mask_model.h5 size_local : 257557808 size in s3 : 257557808 create time local : 2021-08-09 05:27:17 create time in s3 : 2021-08-06 19:45:17 mask_model.h5 already exist and didn't need to update list_images length : 1 NEW PHOTO Processing 1 images image shape: (2448, 2448, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 89) min: 0.00000 max: 2448.00000 nb d'objets trouves : 1 Detection mask done ! Trying to reset tf kernel 1340282 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 1009 tf kernel not reseted sub process len(results) : 1 len(list_Values) 0 None max_time_sub_proc : 3600 parent process len(results) : 1 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 : 2202 list_Values should be empty [] ['backgroud', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'trafficlight', 'firehydrant', 'stopsign', 'parkingmeter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sportsball', 'kite', 'baseballbat', 'baseballglove', 'skateboard', 'surfboard', 'tennisracket', 'bottle', 'wineglass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hotdog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'pottedplant', 'bed', 'diningtable', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cellphone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddybear', 'hairdrier', 'toothbrush'] DEBUG bbox = [122, 7, 2237, 2264] DEBUG masks shape = (2448, 2448) time for calcul the mask position with numpy : 0.2772054672241211 nb_pixel_total : 3688689 time to create 1 rle with new method : 0.31294822692871094 length of segment : 2035 time spent for convertir_results : 1.7527477741241455 time spend for datou_step_exec : 39.2794885635376 time spend to save output : 4.982948303222656e-05 total time spend for step 1 : 39.27953839302063 caffe_path_current : About to save ! 1 Inside saveOutput : final : True verbose : False eke 12-6-18 : saveMask need to be cleaned for new output ! Catched exception ! Connect or reconnect ! Number saved : None batch 1 Loaded 726 chid ids of type : 445 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Number RLEs to save : 0 begin to insert list_values into mtr_datou_result : length of list_values in save_final : 1 time used for this insertion : 0.018640518188476562 save missing photos in datou_result : After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : {'917877156': [[(917877156, 492601069, 445, 7, 2264, 122, 2237, 0.9849636, [(522, 124, 445), (1150, 124, 275), (501, 125, 949), (480, 126, 993), (461, 127, 1035), (443, 128, 1096), (427, 129, 1153), (411, 130, 1178), (396, 131, 1201), (382, 132, 1223), (369, 133, 1244), (367, 134, 1254), (364, 135, 1264), (361, 136, 1274), (359, 137, 1283), (356, 138, 1292), (354, 139, 1300), (351, 140, 1309), (349, 141, 1316), (347, 142, 1322), (345, 143, 1328), (343, 144, 1334), (341, 145, 1340), (339, 146, 1346), (337, 147, 1351), (336, 148, 1356), (334, 149, 1361), (332, 150, 1367), (331, 151, 1371), (329, 152, 1376), (328, 153, 1380), (326, 154, 1385), (325, 155, 1389), (323, 156, 1394), (322, 157, 1397), (321, 158, 1401), (319, 159, 1405), (318, 160, 1409), (317, 161, 1412), (316, 162, 1416), (314, 163, 1421), (313, 164, 1425), (312, 165, 1428), (310, 166, 1432), (309, 167, 1435), (308, 168, 1438), (306, 169, 1443), (305, 170, 1446), (303, 171, 1450), (302, 172, 1454), (300, 173, 1458), (298, 174, 1462), (296, 175, 1467), (295, 176, 1471), (293, 177, 1475), (291, 178, 1480), (289, 179, 1485), (286, 180, 1491), (284, 181, 1496), (281, 182, 1502), (278, 183, 1509), (276, 184, 1514), (273, 185, 1521), (270, 186, 1527), (268, 187, 1533), (265, 188, 1540), (262, 189, 1547), (260, 190, 1554), (257, 191, 1561), (254, 192, 1569), (251, 193, 1579), (249, 194, 1587), (246, 195, 1596), (243, 196, 1605), (240, 197, 1615), (237, 198, 1624), (234, 199, 1633), (231, 200, 1642), (229, 201, 1650), (226, 202, 1658), (223, 203, 1667), (220, 204, 1676), (217, 205, 1684), (214, 206, 1689), (211, 207, 1694), (208, 208, 1699), (206, 209, 1703), (204, 210, 1707), (202, 211, 1710), (201, 212, 1713), (199, 213, 1717), (197, 214, 1720), (196, 215, 1722), (194, 216, 1726), (193, 217, 1728), (191, 218, 1731), (190, 219, 1734), (189, 220, 1736), (187, 221, 1739), (186, 222, 1741), (185, 223, 1743), (184, 224, 1745), (183, 225, 1748), (181, 226, 1751), (180, 227, 1753), (179, 228, 1754), (178, 229, 1756), (177, 230, 1758), (176, 231, 1760), (175, 232, 1762), (174, 233, 1764), (173, 234, 1766), (173, 235, 1767), (172, 236, 1768), (171, 237, 1770), (170, 238, 1772), (169, 239, 1773), (168, 240, 1775), (167, 241, 1777), (166, 242, 1779), (165, 243, 1781), (164, 244, 1782), (163, 245, 1784), (162, 246, 1786), (161, 247, 1788), (160, 248, 1790), (159, 249, 1792), (158, 250, 1794), (157, 251, 1796), (156, 252, 1798), (154, 253, 1801), (153, 254, 1803), (152, 255, 1805), (151, 256, 1807), (149, 257, 1810), (148, 258, 1812), (147, 259, 1815), (145, 260, 1818), (144, 261, 1820), (142, 262, 1824), (141, 263, 1826), (139, 264, 1829), (138, 265, 1832), (136, 266, 1835), (134, 267, 1839), (133, 268, 1841), (131, 269, 1845), (129, 270, 1849), (127, 271, 1852), (126, 272, 1855), (125, 273, 1858), (123, 274, 1862), (122, 275, 1864), (121, 276, 1867), (119, 277, 1870), (118, 278, 1873), (117, 279, 1875), (116, 280, 1878), (115, 281, 1880), (114, 282, 1882), (113, 283, 1885), (112, 284, 1887), (111, 285, 1889), (110, 286, 1891), (109, 287, 1893), (108, 288, 1895), (107, 289, 1897), (106, 290, 1899), (105, 291, 1901), (105, 292, 1902), (104, 293, 1904), (103, 294, 1906), (102, 295, 1908), (102, 296, 1909), (101, 297, 1911), (100, 298, 1913), (99, 299, 1915), (99, 300, 1915), (98, 301, 1917), (98, 302, 1918), (97, 303, 1920), (96, 304, 1921), (96, 305, 1922), (95, 306, 1924), (94, 307, 1926), (94, 308, 1926), (93, 309, 1928), (93, 310, 1929), (92, 311, 1930), (92, 312, 1931), (92, 313, 1931), (92, 314, 1932), (91, 315, 1933), (91, 316, 1934), (91, 317, 1934), (91, 318, 1935), (90, 319, 1936), (90, 320, 1937), (90, 321, 1937), (90, 322, 1938), (89, 323, 1940), (89, 324, 1940), (89, 325, 1941), (89, 326, 1941), (88, 327, 1943), (88, 328, 1944), (88, 329, 1944), (87, 330, 1946), (87, 331, 1946), (87, 332, 1947), (87, 333, 1948), (86, 334, 1950), (86, 335, 1950), (86, 336, 1951), (86, 337, 1952), (85, 338, 1953), (85, 339, 1954), (85, 340, 1955), (84, 341, 1957), (84, 342, 1957), (84, 343, 1958), (84, 344, 1959), (83, 345, 1961), (83, 346, 1962), (83, 347, 1963), (82, 348, 1964), (82, 349, 1965), (82, 350, 1966), (82, 351, 1967), (81, 352, 1969), (81, 353, 1970), (81, 354, 1971), (80, 355, 1973), (80, 356, 1974), (80, 357, 1975), (79, 358, 1977), (79, 359, 1978), (79, 360, 1979), (79, 361, 1981), (78, 362, 1983), (78, 363, 1984), (78, 364, 1985), (77, 365, 1987), (77, 366, 1988), (77, 367, 1989), (76, 368, 1991), (76, 369, 1992), (76, 370, 1993), (75, 371, 1995), (75, 372, 1996), (75, 373, 1997), (75, 374, 1998), (74, 375, 2000), (74, 376, 2001), (74, 377, 2002), (73, 378, 2003), (73, 379, 2004), (73, 380, 2005), (72, 381, 2007), (72, 382, 2007), (72, 383, 2008), (71, 384, 2010), (71, 385, 2011), (71, 386, 2011), (70, 387, 2013), (70, 388, 2013), (70, 389, 2014), (69, 390, 2015), (69, 391, 2016), (69, 392, 2016), (68, 393, 2018), (68, 394, 2018), (68, 395, 2018), (67, 396, 2020), (67, 397, 2020), (67, 398, 2021), (66, 399, 2022), (66, 400, 2023), (66, 401, 2023), (65, 402, 2025), (65, 403, 2025), (65, 404, 2026), (64, 405, 2027), (64, 406, 2027), (64, 407, 2028), (63, 408, 2029), (63, 409, 2030), (63, 410, 2030), (62, 411, 2032), (62, 412, 2032), (61, 413, 2033), (61, 414, 2034), (61, 415, 2034), (60, 416, 2036), (60, 417, 2036), (59, 418, 2038), (59, 419, 2038), (58, 420, 2039), (58, 421, 2040), (58, 422, 2040), (57, 423, 2042), (57, 424, 2042), (56, 425, 2043), (56, 426, 2044), (55, 427, 2045), (55, 428, 2046), (54, 429, 2047), (54, 430, 2047), (53, 431, 2049), (53, 432, 2049), (53, 433, 2049), (52, 434, 2051), (52, 435, 2051), (51, 436, 2053), (50, 437, 2054), (50, 438, 2054), (49, 439, 2056), (49, 440, 2056), (48, 441, 2058), (48, 442, 2058), (47, 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3692295 nb pixel common : 3684546 proportion of common points : 0.997901305285737 #&_# TEST SUCCEEDED #&_# : tests/mask_test #&_# #&_# END OF TEST #&_# : tests/mask_test #&_# #&_# BEGIN OF TEST : tests/datou_test #&_# /home/admin/workarea/git/Velours/python/tests/datou_test.py Datou All Test python version used : 3 ############################### TEST sam ################################ TEST SAM Inside batchDatouExec : verbose : False # 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 ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! List Step Type Loaded in datou : sam list_input_json : [] origin BFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 time to download the photos : 0.2785823345184326 About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! WARNING : we have an input that is not a photo, we should get rid of it Calling datou_exec Inside datou_exec : verbose : False number of steps : 1 step1:sam Tue Feb 10 11:22:40 2026 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 sam ! Inside sam : nb paths : 1 (640, 960, 3) ERROR in datou_step_exec, will save and exit ! CUDA out of memory. Tried to allocate 768.00 MiB (GPU 0; 10.76 GiB total capacity; 443.59 MiB already allocated; 718.31 MiB free; 498.00 MiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF File "/home/admin/workarea/git/Velours/python/mtr/datou/datou_lib.py", line 2339, 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 2440, in datou_step_exec return lib_process.datou_step_sam(param, json_param, args, cache, context, map_info, verbose) File "/home/admin/workarea/git/Velours/python/mtr/datou/lib_step_exec/lib_step_process.py", line 396, in datou_step_sam masks = mask_generator.generate(image) File "/home/admin/.local/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context return func(*args, **kwargs) File "/home/admin/workarea/install/segment-anything/segment_anything/automatic_mask_generator.py", line 163, in generate mask_data = self._generate_masks(image) File "/home/admin/workarea/install/segment-anything/segment_anything/automatic_mask_generator.py", line 206, in _generate_masks crop_data = self._process_crop(image, crop_box, layer_idx, orig_size) File "/home/admin/workarea/install/segment-anything/segment_anything/automatic_mask_generator.py", line 236, in _process_crop self.predictor.set_image(cropped_im) File "/home/admin/workarea/install/segment-anything/segment_anything/predictor.py", line 60, in set_image self.set_torch_image(input_image_torch, image.shape[:2]) File "/home/admin/.local/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context return func(*args, **kwargs) File "/home/admin/workarea/install/segment-anything/segment_anything/predictor.py", line 89, in set_torch_image self.features = self.model.image_encoder(input_image) File "/home/admin/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/home/admin/workarea/install/segment-anything/segment_anything/modeling/image_encoder.py", line 112, in forward x = blk(x) File "/home/admin/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/home/admin/workarea/install/segment-anything/segment_anything/modeling/image_encoder.py", line 174, in forward x = self.attn(x) File "/home/admin/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl return forward_call(*input, **kwargs) File "/home/admin/workarea/install/segment-anything/segment_anything/modeling/image_encoder.py", line 231, in forward attn = (q * self.scale) @ k.transpose(-2, -1) [1189321094] begin to insert list_values into mtr_datou_result : length of list_values in save_final : 1 time used for this insertion : 0.02506875991821289 save_final ERROR in last step sam, CUDA out of memory. Tried to allocate 768.00 MiB (GPU 0; 10.76 GiB total capacity; 443.59 MiB already allocated; 718.31 MiB free; 498.00 MiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF time spend for datou_step_exec : 9.19181752204895 time spend to save output : 0.03428387641906738 total time spend for step 0 : 9.226101398468018 need to delete datou_research and reload, so keep current state 1 need to delete datou_research and reload, so keep current state 1 need to delete datou_research and reload, so keep current state 1 caffe_path_current : About to save ! 2 After save, about to update current ! datou_cur_ids : [] len(datou.list_steps) : 1 output : None ERROR nb objects espect : 98 nb_objects detect : 0 ERROR sam FAILED ############################### TEST frcnn ################################ Inside batchDatouExec : verbose : False # 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 ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! List Step Type Loaded in datou : frcnn list_input_json : [] origin BFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 1 ; length of list_pids : 1 ; length of list_args : 1 time to download the photos : 0.16817402839660645 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 : False number of steps : 1 step1:frcnn Tue Feb 10 11:22:49 2026 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 Faster rcnn ! To loadFromThcl() model_param file didn't exist model_name : detection_plaque_valcor_010622 model_type : caffe_faster_rcnn list file need : ['caffemodel', 'test.prototxt'] file exist in s3 : ['caffemodel', 'test.prototxt'] file manque in s3 : [] [libprotobuf ERROR google/protobuf/text_format.cc:307] Error parsing text-format caffe.NetParameter: 325:21: Message type "caffe.LayerParameter" has no field named "roi_pooling_param". WARNING: Logging before InitGoogleLogging() is written to STDERR F0210 11:22:51.571079 1338674 upgrade_proto.cpp:90] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: /data/models_weight/detection_plaque_valcor_010622/test.prototxt *** Check failure stack trace: *** Aborted (core dumped) No data to report. No data to report. ret : 34304 command : coverage3 html -i --omit=/usr/local/lib/python3.8/dist-packages/*,/home/admin/.local/lib/python3.8/site-packages/*,/usr/lib/python3/dist-packages/* -d htmlcov ret : 256 command : coverage3 report -i -m ret : 256 40.03user 23.50system 2:27.11elapsed 43%CPU (0avgtext+0avgdata 2944624maxresident)k 3604272inputs+4608outputs (14775major+2882140minor)pagefaults 0swaps