python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 8 -a ' --fifo -a 533 -l 100 ' -s datou_current_533 -M 0 -S 0 -U 95,95,120 import MySQLdb succeeded Import error (python version) ['/Users/moilerat/Documents/Fotonower/install/caffe/distribute/python', '/home/admin/workarea/git/Velours/python/prod', '/home/admin/workarea/install/caffe_cuda8_python3/python', '/home/admin/workarea/install/darknet', '/home/admin/workarea/git/Velours/python', '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python', '/home/admin/mtr/.credentials', '/home/admin/workarea/install/caffe/python', '/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools', '/home/admin/workarea/git/fotonowerpip', '/home/admin/workarea/install/segment-anything', '/home/admin/workarea/git/pyfvs', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/admin/.local/lib/python3.8/site-packages', '/usr/local/lib/python3.8/dist-packages', '/usr/lib/python3/dist-packages'] process id : 987741 load datou : 533 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! DataTypes for each output/input checked ! Unexpected type for variable list_input_json ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0) Tried to parse : chemin de la photo was removed should we ? [ (photo_id, hashtag_id_0, score_0), (photo_id, hashtag_id_1, score_1), ...] was removed should we ? [ (photo_id, hashtag_id_0, score_0), (photo_id, hashtag_id_1, score_1), ...] was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? chemin de la photo was removed should we ? load thcls load pdts Running datou job : batch_current TODO datou_current to load to do maybe to take outside batchDatouExec updating current state to 1 we have a portfolio with more photos than limit : 108>100 please execute split_portfolio.py -i 24702164 -l 100 size over we load limit photo not treated list_input_json: [] Current got : datou_id : 533, datou_cur_ids : ['3248093'] with mtr_portfolio_ids : ['24702164'] and first list_photo_ids : [] new path : /proc/987741/ Inside batchDatouExec : verbose : 0 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! DataTypes for each output/input checked ! List Step Type Loaded in datou : tfhub_classification2, argmax list_input_json : [] origin We have 1 , WARNING: data may be incomplete, need to offset and complete ! BFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 100 ; length of list_pids : 100 ; length of list_args : 100 time to download the photos : 14.716778039932251 About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 2 step1:tfhub_classification2 Tue Jul 8 00:46:43 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Beginning of datou_step TFHub with tf2 ! nombre de thcls : 3 we are using the classfication for multi_thcl [3513, 3379, 3847] begin to check gpu status inside check gpu memory 2025-07-08 00:46:45.604168: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-07-08 00:46:45.634423: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-07-08 00:46:45.634705: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-07-08 00:46:45.636871: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-07-08 00:46:45.638870: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-07-08 00:46:45.639262: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-07-08 00:46:45.641359: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-07-08 00:46:45.642279: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-07-08 00:46:45.646323: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-07-08 00:46:45.647549: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-07-08 00:46:45.647918: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-07-08 00:46:45.675402: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493035000 Hz 2025-07-08 00:46:45.677520: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fbca0000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-07-08 00:46:45.677585: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-07-08 00:46:45.792632: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x16caf450 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-07-08 00:46:45.792677: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-07-08 00:46:45.793806: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-07-08 00:46:45.793906: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-07-08 00:46:45.793941: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-07-08 00:46:45.793972: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-07-08 00:46:45.794002: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-07-08 00:46:45.794032: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-07-08 00:46:45.794062: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-07-08 00:46:45.794093: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-07-08 00:46:45.795678: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-07-08 00:46:45.795754: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-07-08 00:46:45.796684: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-07-08 00:46:45.796706: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-07-08 00:46:45.796719: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-07-08 00:46:45.798359: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3096 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) l 3637 free memory gpu now : 5665 max_wait_temp : 1 max_wait : 5 1 Physical GPUs, 1 Logical GPUs tagging for thcl : 3513 To do loadFromThcl(), then load ParamDescType : thcl3513 thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] thcl {'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'} Update svm_hashtag_type_desc : 5767 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5767, 'Rungis_amount_dechets_fall_2018_v2_tf', 2048, 2048, 'Rungis_amount_dechets_fall_2018_v2_tf', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2023, 3, 16, 15, 52, 10), datetime.datetime(2023, 3, 16, 15, 52, 10)) model_name : Rungis_amount_dechets_fall_2018_v2_tf model_param file didn't exist model_name : Rungis_amount_dechets_fall_2018_v2_tf model_type : tf_classification2 list file need : ['Confusion_Matrix.png', 'Precision_Recall_05102018_Papier_non_papier_dense.jpg', 'Precision_Recall_05102018_Papier_non_papier_peu_dense.jpg', 'Precision_Recall_05102018_Papier_non_papier_presque_vide.jpg', 'Precision_Recall_05102018_Papier_non_papier_tres_dense.jpg', 'Precision_Recall_05102018_Papier_non_papier_tres_peu_dense.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00001', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file exist in s3 : ['Confusion_Matrix.png', 'Precision_Recall_05102018_Papier_non_papier_dense.jpg', 'Precision_Recall_05102018_Papier_non_papier_peu_dense.jpg', 'Precision_Recall_05102018_Papier_non_papier_presque_vide.jpg', 'Precision_Recall_05102018_Papier_non_papier_tres_dense.jpg', 'Precision_Recall_05102018_Papier_non_papier_tres_peu_dense.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00001', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file manque in s3 : [] local folder : /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/Confusion_Matrix.png size_local : 67810 size in s3 : 67810 create time local : 2023-10-30 16:21:37 create time in s3 : 2023-10-30 14:09:29 Confusion_Matrix.png already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/Precision_Recall_05102018_Papier_non_papier_dense.jpg size_local : 73949 size in s3 : 73949 create time local : 2023-10-30 16:21:38 create time in s3 : 2023-10-30 14:09:30 Precision_Recall_05102018_Papier_non_papier_dense.jpg already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/Precision_Recall_05102018_Papier_non_papier_peu_dense.jpg size_local : 85572 size in s3 : 85572 create time local : 2023-10-30 16:21:38 create time in s3 : 2023-10-30 14:09:39 Precision_Recall_05102018_Papier_non_papier_peu_dense.jpg already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/Precision_Recall_05102018_Papier_non_papier_presque_vide.jpg size_local : 72361 size in s3 : 72361 create time local : 2023-10-30 16:21:38 create time in s3 : 2023-10-30 14:09:37 Precision_Recall_05102018_Papier_non_papier_presque_vide.jpg already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/Precision_Recall_05102018_Papier_non_papier_tres_dense.jpg size_local : 83567 size in s3 : 83567 create time local : 2023-10-30 16:21:38 create time in s3 : 2023-10-30 14:09:48 Precision_Recall_05102018_Papier_non_papier_tres_dense.jpg already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/Precision_Recall_05102018_Papier_non_papier_tres_peu_dense.jpg size_local : 71611 size in s3 : 71611 create time local : 2023-10-30 16:21:38 create time in s3 : 2023-10-30 14:09:29 Precision_Recall_05102018_Papier_non_papier_tres_peu_dense.jpg already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/Result_Summary.txt size_local : 1058 size in s3 : 1058 create time local : 2023-10-30 16:21:38 create time in s3 : 2023-10-30 14:09:30 Result_Summary.txt already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/checkpoint size_local : 99 size in s3 : 99 create time local : 2023-10-30 16:21:38 create time in s3 : 2023-10-30 14:09:36 checkpoint already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/model_checkpoint.ckpt.data-00000-of-00001 size_local : 188538519 size in s3 : 188538519 create time local : 2023-10-30 16:21:41 create time in s3 : 2023-10-30 14:09:40 model_checkpoint.ckpt.data-00000-of-00001 already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/model_checkpoint.ckpt.data-00000-of-00002 size_local : 216572 size in s3 : 216572 create time local : 2023-10-30 16:21:41 create time in s3 : 2023-03-16 14:52:09 model_checkpoint.ckpt.data-00000-of-00002 already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/model_checkpoint.ckpt.data-00001-of-00002 size_local : 32279708 size in s3 : 32279708 create time local : 2023-10-30 16:21:42 create time in s3 : 2023-03-16 14:52:07 model_checkpoint.ckpt.data-00001-of-00002 already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/model_checkpoint.ckpt.index size_local : 28001 size in s3 : 28001 create time local : 2023-10-30 16:21:42 create time in s3 : 2023-10-30 14:09:30 model_checkpoint.ckpt.index already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/model_weights.h5 size_local : 94501976 size in s3 : 94501976 create time local : 2023-10-30 16:21:44 create time in s3 : 2023-10-30 14:09:37 model_weights.h5 already exist and didn't need to update desc size : 2048 Model: "sequential" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= module (KerasLayer) (None, 2048) 23561152 _________________________________________________________________ Rungis_amount_dechets_fall_2 (None, 5) 10245 ================================================================= Total params: 23,571,397 Trainable params: 10,245 Non-trainable params: 23,561,152 _________________________________________________________________ Loading Weights... time used to create the model : 7.344646692276001 time used to load_weights : 0.16872215270996094 0it [00:00, ?it/s] 100it [00:00, 1489.14it/s]2025-07-08 00:46:55.212602: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-07-08 00:46:55.455230: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 temp/1751928388_987741_1371107235_36413f8940e049f5c43bb5b7d1572b7c_37357655.jpg temp/1751928388_987741_1371107234_3ae1a0b74f0aebdf41605898b6206c6a_970112.jpg temp/1751928388_987741_1371107233_1713029ad0dea59a9be7947cbeeb2522_49771439.jpg temp/1751928388_987741_1371107232_1c136381421be85c0e1a9b2361ae9ea9_98298806.jpg temp/1751928388_987741_1371107231_89b2cbce8d87cde4f555532b648bd0ef_95375504.jpg 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temp/1751928388_987741_1371105537_20621ed9c0916123f9a172890fb3763e_31238929.jpg temp/1751928388_987741_1371105526_83e74fe27dd7a7f400f2d6a5c8ab93cd_15124807.jpg temp/1751928388_987741_1371105525_8a823d6e4fcead99f75baf981da24921_8836294.jpg temp/1751928388_987741_1371105524_84795f8133dcf04b2977a33ff49a4976_47606870.jpg temp/1751928388_987741_1371105523_f0bc750241f371a45149c6e76c7b9636_16129556.jpg temp/1751928388_987741_1371105522_04f4ac13501fb85a5f11bde3b7783ecf_48442756.jpg temp/1751928388_987741_1371105521_db0e49c5eedbaffab60902c2e7c9c95b_79353537.jpg temp/1751928388_987741_1371105119_ce4c093f7ba9e71c6696221205ace6eb_30158699.jpg temp/1751928388_987741_1371105118_0ad9874ab62bf410f402aa5cede2643f_37305160.jpg temp/1751928388_987741_1371105117_222361907bb6ddc4446285886bb45769_49824822.jpg temp/1751928388_987741_1371105116_37731c43b52709a8df8cb3382c873746_15618788.jpg temp/1751928388_987741_1371105115_bbce075d667f313d0344088da54a4270_99979524.jpg temp/1751928388_987741_1371105114_e956e777802c72b58e1f839f17b654f3_53370692.jpg temp/1751928388_987741_1371105080_406e6d78363ced3174676a86e76c7a0d_97055543.jpg temp/1751928388_987741_1371105079_08179cf21170f32e174c47ffc02bf5c2_44890549.jpg temp/1751928388_987741_1371105078_e5f7c8e5a98fbd37620a2fc17b4b3ed6_59833065.jpg temp/1751928388_987741_1371105077_2f7a42a80b5c157b463c3cf843a62f15_24477330.jpg temp/1751928388_987741_1371105075_4e5548ffc19276b675de7f5b701ab414_11963564.jpg temp/1751928388_987741_1371105074_8a2299c662049ef0bdcd2ceb2fd4aeaa_94205304.jpg temp/1751928388_987741_1371104934_65daf1782631ea044fd89d05c22a3944_10715669.jpg temp/1751928388_987741_1371104932_35b637ab4ff89e96e209a608fdf075b4_63079260.jpg temp/1751928388_987741_1371104930_a48931b4f498600c6a324146ea441fee_8266382.jpg temp/1751928388_987741_1371104928_b5ea4977e01a15c61b2c5142e4167b3f_61898469.jpg temp/1751928388_987741_1371104927_94f37de817031ac5c936702b3c305fa5_73925797.jpg temp/1751928388_987741_1371104925_7808d3d581471c6728a6a6bc9c506805_75031786.jpg temp/1751928388_987741_1371104844_89b1b3384c7aff7825254c8933f0b2b1_71143423.jpg temp/1751928388_987741_1371104843_1cc2dae6ca2ccfad02450fbfaf09badd_36585484.jpg temp/1751928388_987741_1371104842_cfde0b66f4c8bd4447d7ee45ab8236f3_4234483.jpg temp/1751928388_987741_1371104841_0bda2f1e20f22a85edc128b88d7be453_70839289.jpg temp/1751928388_987741_1371104840_f576a3b452b18219cb7d466b1ff9466d_28485051.jpg temp/1751928388_987741_1371104839_63bf9fd993b5cfa8bcdc302fb7a360ee_99093031.jpg temp/1751928388_987741_1371104708_7c5220e26484fa0d6e079e53987eabce_70126394.jpg temp/1751928388_987741_1371104707_5952a3b72fc0685aa804dbf5d8c51088_13673926.jpg temp/1751928388_987741_1371104706_34cd1809014169a4546294fc6ad9a67e_82370934.jpg temp/1751928388_987741_1371104705_ab0a8566a1e92293ec9bc893ad0d01a2_61536976.jpg Found 100 images belonging to 1 classes. begin to do the prediction : time used to do the prediction : 8.424311637878418 (100,) (100, 5) (100, 2048) shape of features : (100, 2048) shape of new features : (1, 100, 2048) save descriptor for thcl : 3513 time to traite the descriptors : 0.5455789566040039 storage_type for insertDescriptorsMulti : 3 To insert : 1371107235 To insert : 1371107234 To insert : 1371107233 To insert : 1371107232 To insert : 1371107231 To insert : 1371107230 To insert : 1371107152 To insert : 1371107151 To insert : 1371107150 To insert : 1371107149 To insert : 1371107148 To insert : 1371107147 To insert : 1371107088 To insert : 1371107087 To insert : 1371107086 To insert : 1371107085 To insert : 1371107084 To insert : 1371107083 To insert : 1371107017 To insert : 1371107016 To insert : 1371107015 To insert : 1371107014 To insert : 1371107013 To insert : 1371107012 To insert : 1371106963 To insert : 1371106962 To insert : 1371106961 To insert : 1371106960 To insert : 1371106959 To insert : 1371106958 To insert : 1371106643 To insert : 1371106642 To insert : 1371106640 To insert : 1371106639 To insert : 1371106638 To insert : 1371106637 To insert : 1371106214 To insert : 1371106212 To insert : 1371106210 To insert : 1371106208 To insert : 1371106206 To insert : 1371106204 To insert : 1371106025 To insert : 1371106024 To insert : 1371106023 To insert : 1371106022 To insert : 1371106021 To insert : 1371106020 To insert : 1371105995 To insert : 1371105994 To insert : 1371105993 To insert : 1371105992 To insert : 1371105991 To insert : 1371105990 To insert : 1371105743 To insert : 1371105742 To insert : 1371105741 To insert : 1371105740 To insert : 1371105739 To insert : 1371105738 To insert : 1371105542 To insert : 1371105541 To insert : 1371105540 To insert : 1371105539 To insert : 1371105538 To insert : 1371105537 To insert : 1371105526 To insert : 1371105525 To insert : 1371105524 To insert : 1371105523 To insert : 1371105522 To insert : 1371105521 To insert : 1371105119 To insert : 1371105118 To insert : 1371105117 To insert : 1371105116 To insert : 1371105115 To insert : 1371105114 To insert : 1371105080 To insert : 1371105079 To insert : 1371105078 To insert : 1371105077 To insert : 1371105075 To insert : 1371105074 To insert : 1371104934 To insert : 1371104932 To insert : 1371104930 To insert : 1371104928 To insert : 1371104927 To insert : 1371104925 To insert : 1371104844 To insert : 1371104843 To insert : 1371104842 To insert : 1371104841 To insert : 1371104840 To insert : 1371104839 To insert : 1371104708 To insert : 1371104707 To insert : 1371104706 To insert : 1371104705 time to insert the descriptors : 22.971588850021362 tagging for thcl : 3379 To do loadFromThcl(), then load ParamDescType : thcl3379 thcls : [{'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcl {'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'} Update svm_hashtag_type_desc : 5680 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5680, 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 1280, 1280, 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2022, 6, 4, 1, 31, 10), datetime.datetime(2022, 6, 4, 1, 31, 10)) model_name : learn_classif_flux_maj_generique_effnet_v2_s_02062022 model_param file didn't exist model_name : learn_classif_flux_maj_generique_effnet_v2_s_02062022 model_type : tf_classification2 list file need : ['Confusion_Matrix.png', 'Precision_Recall_aluminium.jpg', 'Precision_Recall_ela.jpg', 'Precision_Recall_film_pedb.jpg', 'Precision_Recall_flux_dev.jpg', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd_pp.jpg', 'Precision_Recall_pet_clair.jpg', 'Precision_Recall_refus.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file exist in s3 : ['Confusion_Matrix.png', 'Precision_Recall_aluminium.jpg', 'Precision_Recall_ela.jpg', 'Precision_Recall_film_pedb.jpg', 'Precision_Recall_flux_dev.jpg', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd_pp.jpg', 'Precision_Recall_pet_clair.jpg', 'Precision_Recall_refus.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file manque in s3 : [] local folder : /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022 /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Confusion_Matrix.png size_local : 82527 size in s3 : 82527 create time local : 2022-06-06 13:01:24 create time in s3 : 2022-06-03 23:31:09 Confusion_Matrix.png already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_aluminium.jpg size_local : 67602 size in s3 : 67602 create time local : 2022-06-06 13:01:24 create time in s3 : 2022-06-03 23:23:41 Precision_Recall_aluminium.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_ela.jpg size_local : 67189 size in s3 : 67189 create time local : 2022-06-06 13:01:25 create time in s3 : 2022-06-03 23:26:13 Precision_Recall_ela.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_film_pedb.jpg size_local : 71280 size in s3 : 71280 create time local : 2022-06-06 13:01:25 create time in s3 : 2022-06-03 23:26:14 Precision_Recall_film_pedb.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_flux_dev.jpg size_local : 59936 size in s3 : 59936 create time local : 2022-06-06 13:01:25 create time in s3 : 2022-06-03 23:23:41 Precision_Recall_flux_dev.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_jrm.jpg size_local : 67657 size in s3 : 67657 create time local : 2022-06-06 13:01:25 create time in s3 : 2022-06-03 23:31:06 Precision_Recall_jrm.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_pcm.jpg size_local : 83042 size in s3 : 83042 create time local : 2022-06-06 13:01:25 create time in s3 : 2022-06-03 23:23:40 Precision_Recall_pcm.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_pcnc.jpg size_local : 69972 size in s3 : 69972 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:31:05 Precision_Recall_pcnc.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_pehd_pp.jpg size_local : 67313 size in s3 : 67313 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:23:45 Precision_Recall_pehd_pp.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_pet_clair.jpg size_local : 67320 size in s3 : 67320 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:31:04 Precision_Recall_pet_clair.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_refus.jpg size_local : 59936 size in s3 : 59936 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:31:08 Precision_Recall_refus.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_tapis_vide.jpg size_local : 80244 size in s3 : 80244 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:23:45 Precision_Recall_tapis_vide.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Result_Summary.txt size_local : 1018 size in s3 : 1018 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:31:08 Result_Summary.txt already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/checkpoint size_local : 99 size in s3 : 99 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:31:06 checkpoint already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/model_checkpoint.ckpt.data-00000-of-00002 size_local : 216640 size in s3 : 216640 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:23:43 model_checkpoint.ckpt.data-00000-of-00002 already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/model_checkpoint.ckpt.data-00001-of-00002 size_local : 32341196 size in s3 : 32341196 create time local : 2022-06-06 13:01:28 create time in s3 : 2022-06-03 23:26:15 model_checkpoint.ckpt.data-00001-of-00002 already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/model_checkpoint.ckpt.index size_local : 43546 size in s3 : 43546 create time local : 2022-06-06 13:01:28 create time in s3 : 2022-06-03 23:26:13 model_checkpoint.ckpt.index already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/model_weights.h5 size_local : 16531224 size in s3 : 16531224 create time local : 2022-06-06 13:01:29 create time in s3 : 2022-06-03 23:23:46 model_weights.h5 already exist and didn't need to update desc size : 1280 Model: "sequential" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= module (KerasLayer) (None, 1280) 4049564 _________________________________________________________________ learn_classif_flux_maj_gener (None, 11) 14091 ================================================================= Total params: 4,063,655 Trainable params: 14,091 Non-trainable params: 4,049,564 _________________________________________________________________ Loading Weights... time used to create the model : 6.92297887802124 time used to load_weights : 0.11871051788330078 0it [00:00, ?it/s] 100it [00:00, 1386.18it/s]temp/1751928388_987741_1371107235_36413f8940e049f5c43bb5b7d1572b7c_37357655.jpg temp/1751928388_987741_1371107234_3ae1a0b74f0aebdf41605898b6206c6a_970112.jpg temp/1751928388_987741_1371107233_1713029ad0dea59a9be7947cbeeb2522_49771439.jpg 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temp/1751928388_987741_1371104705_ab0a8566a1e92293ec9bc893ad0d01a2_61536976.jpg Found 100 images belonging to 1 classes. begin to do the prediction : time used to do the prediction : 7.341148853302002 (100,) (100, 11) (100, 1280) shape of features : (100, 1280) shape of new features : (1, 100, 1280) save descriptor for thcl : 3379 time to traite the descriptors : 0.37284326553344727 storage_type for insertDescriptorsMulti : 3 To insert : 1371107235 To insert : 1371107234 To insert : 1371107233 To insert : 1371107232 To insert : 1371107231 To insert : 1371107230 To insert : 1371107152 To insert : 1371107151 To insert : 1371107150 To insert : 1371107149 To insert : 1371107148 To insert : 1371107147 To insert : 1371107088 To insert : 1371107087 To insert : 1371107086 To insert : 1371107085 To insert : 1371107084 To insert : 1371107083 To insert : 1371107017 To insert : 1371107016 To insert : 1371107015 To insert : 1371107014 To insert : 1371107013 To insert : 1371107012 To insert : 1371106963 To insert : 1371106962 To insert : 1371106961 To insert : 1371106960 To insert : 1371106959 To insert : 1371106958 To insert : 1371106643 To insert : 1371106642 To insert : 1371106640 To insert : 1371106639 To insert : 1371106638 To insert : 1371106637 To insert : 1371106214 To insert : 1371106212 To insert : 1371106210 To insert : 1371106208 To insert : 1371106206 To insert : 1371106204 To insert : 1371106025 To insert : 1371106024 To insert : 1371106023 To insert : 1371106022 To insert : 1371106021 To insert : 1371106020 To insert : 1371105995 To insert : 1371105994 To insert : 1371105993 To insert : 1371105992 To insert : 1371105991 To insert : 1371105990 To insert : 1371105743 To insert : 1371105742 To insert : 1371105741 To insert : 1371105740 To insert : 1371105739 To insert : 1371105738 To insert : 1371105542 To insert : 1371105541 To insert : 1371105540 To insert : 1371105539 To insert : 1371105538 To insert : 1371105537 To insert : 1371105526 To insert : 1371105525 To insert : 1371105524 To insert : 1371105523 To insert : 1371105522 To insert : 1371105521 To insert : 1371105119 To insert : 1371105118 To insert : 1371105117 To insert : 1371105116 To insert : 1371105115 To insert : 1371105114 To insert : 1371105080 To insert : 1371105079 To insert : 1371105078 To insert : 1371105077 To insert : 1371105075 To insert : 1371105074 To insert : 1371104934 To insert : 1371104932 To insert : 1371104930 To insert : 1371104928 To insert : 1371104927 To insert : 1371104925 To insert : 1371104844 To insert : 1371104843 To insert : 1371104842 To insert : 1371104841 To insert : 1371104840 To insert : 1371104839 To insert : 1371104708 To insert : 1371104707 To insert : 1371104706 To insert : 1371104705 time to insert the descriptors : 17.646427392959595 tagging for thcl : 3847 To do loadFromThcl(), then load ParamDescType : thcl3847 thcls : [{'id': 3847, 'mtr_user_id': 31, 'name': 'learn_MM_generique_050224', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '13096157,13096155,13096163,13096159,13301956,13095886,13096162,13096160,13358264,13096158,5515868,13276803', 'photo_hashtag_type': 4932, 'photo_desc_type': 6032, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcl {'id': 3847, 'mtr_user_id': 31, 'name': 'learn_MM_generique_050224', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '13096157,13096155,13096163,13096159,13301956,13095886,13096162,13096160,13358264,13096158,5515868,13276803', 'photo_hashtag_type': 4932, 'photo_desc_type': 6032, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'} Update svm_hashtag_type_desc : 6032 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (6032, 'learn_MM_generique_050224', 1280, 1280, 'learn_MM_generique_050224', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2024, 2, 5, 21, 42, 4), datetime.datetime(2024, 2, 5, 21, 42, 4)) model_name : learn_MM_generique_050224 model_param file didn't exist model_name : learn_MM_generique_050224 model_type : tf_classification2 list file need : ['Confusion_Matrix.png', 'Precision_Recall_aluminium.jpg', 'Precision_Recall_ela.jpg', 'Precision_Recall_emr.jpg', 'Precision_Recall_film_pedb.jpg', 'Precision_Recall_flux_dev.jpg', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd_pp.jpg', 'Precision_Recall_pet_clair.jpg', 'Precision_Recall_refus.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00001', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file exist in s3 : ['Confusion_Matrix.png', 'Precision_Recall_aluminium.jpg', 'Precision_Recall_ela.jpg', 'Precision_Recall_emr.jpg', 'Precision_Recall_film_pedb.jpg', 'Precision_Recall_flux_dev.jpg', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd_pp.jpg', 'Precision_Recall_pet_clair.jpg', 'Precision_Recall_refus.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00001', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file manque in s3 : [] local folder : /data/models_weight/learn_MM_generique_050224 /data/models_weight/learn_MM_generique_050224/Confusion_Matrix.png size_local : 88145 size in s3 : 88145 create time local : 2024-04-08 09:17:48 create time in s3 : 2024-02-05 20:41:54 Confusion_Matrix.png already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_aluminium.jpg size_local : 67983 size in s3 : 67983 create time local : 2024-04-08 09:17:48 create time in s3 : 2024-02-05 20:42:02 Precision_Recall_aluminium.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_ela.jpg size_local : 68484 size in s3 : 68484 create time local : 2024-04-08 09:17:48 create time in s3 : 2024-02-05 20:42:04 Precision_Recall_ela.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_emr.jpg size_local : 77930 size in s3 : 77930 create time local : 2024-04-08 09:17:48 create time in s3 : 2024-02-05 20:41:55 Precision_Recall_emr.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_film_pedb.jpg size_local : 66701 size in s3 : 66701 create time local : 2024-04-08 09:17:48 create time in s3 : 2024-02-05 20:41:55 Precision_Recall_film_pedb.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_flux_dev.jpg size_local : 59936 size in s3 : 59936 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:42:04 Precision_Recall_flux_dev.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_jrm.jpg size_local : 72890 size in s3 : 72890 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:42:04 Precision_Recall_jrm.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_pcm.jpg size_local : 93916 size in s3 : 93916 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:42:02 Precision_Recall_pcm.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_pcnc.jpg size_local : 74701 size in s3 : 74701 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:42:04 Precision_Recall_pcnc.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_pehd_pp.jpg size_local : 68765 size in s3 : 68765 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:42:03 Precision_Recall_pehd_pp.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_pet_clair.jpg size_local : 69649 size in s3 : 69649 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:42:03 Precision_Recall_pet_clair.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_refus.jpg size_local : 59936 size in s3 : 59936 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:41:59 Precision_Recall_refus.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_tapis_vide.jpg size_local : 71529 size in s3 : 71529 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:41:54 Precision_Recall_tapis_vide.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Result_Summary.txt size_local : 1076 size in s3 : 1076 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:41:55 Result_Summary.txt already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/checkpoint size_local : 99 size in s3 : 99 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:42:00 checkpoint already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/model_checkpoint.ckpt.data-00000-of-00001 size_local : 32591049 size in s3 : 32591049 create time local : 2024-04-08 09:17:50 create time in s3 : 2024-02-05 20:42:02 model_checkpoint.ckpt.data-00000-of-00001 already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/model_checkpoint.ckpt.index size_local : 42495 size in s3 : 42495 create time local : 2024-04-08 09:17:50 create time in s3 : 2024-02-05 20:41:55 model_checkpoint.ckpt.index already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/model_weights.h5 size_local : 16536200 size in s3 : 16536200 create time local : 2024-04-08 09:17:50 create time in s3 : 2024-02-05 20:42:00 model_weights.h5 already exist and didn't need to update desc size : 1280 Model: "sequential" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= module (KerasLayer) (None, 1280) 4049564 _________________________________________________________________ learn_MM_generique_050224den (None, 12) 15372 ================================================================= Total params: 4,064,936 Trainable params: 15,372 Non-trainable params: 4,049,564 _________________________________________________________________ Loading Weights... time used to create the model : 7.254072427749634 time used to load_weights : 0.11152005195617676 0it [00:00, ?it/s] 100it [00:00, 1415.51it/s]temp/1751928388_987741_1371107235_36413f8940e049f5c43bb5b7d1572b7c_37357655.jpg temp/1751928388_987741_1371107234_3ae1a0b74f0aebdf41605898b6206c6a_970112.jpg temp/1751928388_987741_1371107233_1713029ad0dea59a9be7947cbeeb2522_49771439.jpg temp/1751928388_987741_1371107232_1c136381421be85c0e1a9b2361ae9ea9_98298806.jpg temp/1751928388_987741_1371107231_89b2cbce8d87cde4f555532b648bd0ef_95375504.jpg temp/1751928388_987741_1371107230_13a6ba8c1824c6c1309584539079d362_26968815.jpg temp/1751928388_987741_1371107152_d354a23a8bd07d486bbff7ae4afbdd83_40979874.jpg temp/1751928388_987741_1371107151_d50487ba9a84c73924ad43c87736636e_84658262.jpg temp/1751928388_987741_1371107150_eb16c605b1425fe998316dec5b636724_39751318.jpg temp/1751928388_987741_1371107149_e54c1bcb22cc8adfd5575f18d16d9b2a_97521844.jpg temp/1751928388_987741_1371107148_3a9d9cbc87c57068bbda4c481264f8d2_14404407.jpg temp/1751928388_987741_1371107147_0fa2533e7baafdff36e4bc26162899e3_86742560.jpg temp/1751928388_987741_1371107088_82085206c19315cd429bd70364503474_95904715.jpg temp/1751928388_987741_1371107087_730da9b87682d2aab70ad35a106a8236_48123189.jpg temp/1751928388_987741_1371107086_257fd4d9df7827e962b704d8dcd08f38_25370856.jpg temp/1751928388_987741_1371107085_dbcaee077c7508bd1e9f33cd0ac12147_36211673.jpg temp/1751928388_987741_1371107084_2a21fd457b616b6db9fc8b9512b85359_34253462.jpg temp/1751928388_987741_1371107083_3926ee649d6c01feadffa08e2cc58def_30431624.jpg temp/1751928388_987741_1371107017_1e4220ed6af41671da6154ba216628bb_8288845.jpg temp/1751928388_987741_1371107016_857c355eff4397cd207a9c366fe0781f_91240614.jpg temp/1751928388_987741_1371107015_82f0b916051dd7413261920a82f90877_71582834.jpg temp/1751928388_987741_1371107014_3302d089a7385d531e48ce9a2dd356c2_88557420.jpg temp/1751928388_987741_1371107013_8be72d5d95634b999d00aa76f6515436_87398074.jpg temp/1751928388_987741_1371107012_cd320f9c2dd2f12e3d636afe78e7bcd8_56471478.jpg temp/1751928388_987741_1371106963_22adef885b51434fe590deb530e511e9_82884496.jpg temp/1751928388_987741_1371106962_6efe4658e6410978dca75c717f377fe5_62998897.jpg temp/1751928388_987741_1371106961_b3281a33cd76b85cff4a531e2e72ebb2_17630130.jpg temp/1751928388_987741_1371106960_76b4558fdbe1cb43f588549652e2230f_68443777.jpg temp/1751928388_987741_1371106959_8ba7522e0ff64c91b2f447cb2bc5d380_83724593.jpg temp/1751928388_987741_1371106958_c87ee41f114c37e584af19c0dbe1f538_36512566.jpg temp/1751928388_987741_1371106643_8371b74ab4164348f902cac7e5df3790_54799870.jpg temp/1751928388_987741_1371106642_743ea8fb24dc4798da9acc4ac4685590_51328197.jpg temp/1751928388_987741_1371106640_7f09192929e68cfafc31a06cc40b7340_94199577.jpg temp/1751928388_987741_1371106639_93fc9eb3065cb7c46ce62e9659ce1c5c_86122100.jpg temp/1751928388_987741_1371106638_16dc60438fca7973041ff794889f33d7_55373755.jpg temp/1751928388_987741_1371106637_2cc3839f6ea6cf06e861f9ba4ad328ac_43876780.jpg temp/1751928388_987741_1371106214_304dba8d9931fa5a84b668fd99ccf120_54576578.jpg temp/1751928388_987741_1371106212_4e80440bb9c7a23f292f079200c5560f_83978538.jpg temp/1751928388_987741_1371106210_311897b91d3b5b8c333ddd1bf00e5bb6_2447091.jpg temp/1751928388_987741_1371106208_4b6363168ebab44474c1b25794ad6490_2233558.jpg temp/1751928388_987741_1371106206_40723f1f841b87dde39680dfb0ae4c37_34300746.jpg temp/1751928388_987741_1371106204_69e6878b08b6803d187c10229abf31c4_37564251.jpg temp/1751928388_987741_1371106025_ad6cc52ed6a598ad36c9e2a394be4480_93208476.jpg temp/1751928388_987741_1371106024_2c4cddfc435ee936389ee1b2975743ac_45062988.jpg temp/1751928388_987741_1371106023_35268dd67f72146ddb7e4d3fe0a4a33f_89091380.jpg temp/1751928388_987741_1371106022_ec2f511dd074a36b7611a9c752389551_56513551.jpg temp/1751928388_987741_1371106021_011be11f1ebf4434041ea3bc134b7d7b_7369172.jpg temp/1751928388_987741_1371106020_0be595cd488c031fc225dca6a2e36889_51222107.jpg temp/1751928388_987741_1371105995_65654dc9b5d33564b975df122a5e9ac4_23807778.jpg temp/1751928388_987741_1371105994_b5557c0f8ad39385122105b90a9d5784_55311787.jpg temp/1751928388_987741_1371105993_30e4c16d0392582858c2974fc4127547_31045351.jpg temp/1751928388_987741_1371105992_a79c5cf2c14336da229be08c534f2859_65879064.jpg temp/1751928388_987741_1371105991_2d0af6c1b474717bf9efedf0c9569061_72641870.jpg temp/1751928388_987741_1371105990_6b1a780127ac13ba08db190132d2ef94_92437252.jpg temp/1751928388_987741_1371105743_c4467964d3a38bb253f127883b9ef5d6_91809850.jpg temp/1751928388_987741_1371105742_f646266921b7fe4cdc642ccbc568c287_44011976.jpg temp/1751928388_987741_1371105741_969408ecfc1b7e05a5da96e9850ed4bc_71051188.jpg temp/1751928388_987741_1371105740_a07b39c2d7ae99e3e33e1a02b8a0c756_65060770.jpg temp/1751928388_987741_1371105739_6df363b919155d21f6f8c4de37a643fd_78777793.jpg temp/1751928388_987741_1371105738_97008a84950c6b2e575d77708db247fe_63111858.jpg temp/1751928388_987741_1371105542_840a8a3f59d21794256e20be5fe817fd_96063960.jpg temp/1751928388_987741_1371105541_4b7c19b013f325059a765dcefc7293c6_5091357.jpg temp/1751928388_987741_1371105540_036857fff90459007b7dab2a8cbe7d7d_27560649.jpg temp/1751928388_987741_1371105539_a9e8d19a47d2ed0dede321736a71e978_48416236.jpg temp/1751928388_987741_1371105538_5c06a4fa75cc020801f3ef98085e034f_25544491.jpg temp/1751928388_987741_1371105537_20621ed9c0916123f9a172890fb3763e_31238929.jpg temp/1751928388_987741_1371105526_83e74fe27dd7a7f400f2d6a5c8ab93cd_15124807.jpg temp/1751928388_987741_1371105525_8a823d6e4fcead99f75baf981da24921_8836294.jpg temp/1751928388_987741_1371105524_84795f8133dcf04b2977a33ff49a4976_47606870.jpg temp/1751928388_987741_1371105523_f0bc750241f371a45149c6e76c7b9636_16129556.jpg temp/1751928388_987741_1371105522_04f4ac13501fb85a5f11bde3b7783ecf_48442756.jpg temp/1751928388_987741_1371105521_db0e49c5eedbaffab60902c2e7c9c95b_79353537.jpg temp/1751928388_987741_1371105119_ce4c093f7ba9e71c6696221205ace6eb_30158699.jpg temp/1751928388_987741_1371105118_0ad9874ab62bf410f402aa5cede2643f_37305160.jpg temp/1751928388_987741_1371105117_222361907bb6ddc4446285886bb45769_49824822.jpg temp/1751928388_987741_1371105116_37731c43b52709a8df8cb3382c873746_15618788.jpg temp/1751928388_987741_1371105115_bbce075d667f313d0344088da54a4270_99979524.jpg temp/1751928388_987741_1371105114_e956e777802c72b58e1f839f17b654f3_53370692.jpg temp/1751928388_987741_1371105080_406e6d78363ced3174676a86e76c7a0d_97055543.jpg temp/1751928388_987741_1371105079_08179cf21170f32e174c47ffc02bf5c2_44890549.jpg temp/1751928388_987741_1371105078_e5f7c8e5a98fbd37620a2fc17b4b3ed6_59833065.jpg temp/1751928388_987741_1371105077_2f7a42a80b5c157b463c3cf843a62f15_24477330.jpg temp/1751928388_987741_1371105075_4e5548ffc19276b675de7f5b701ab414_11963564.jpg temp/1751928388_987741_1371105074_8a2299c662049ef0bdcd2ceb2fd4aeaa_94205304.jpg temp/1751928388_987741_1371104934_65daf1782631ea044fd89d05c22a3944_10715669.jpg temp/1751928388_987741_1371104932_35b637ab4ff89e96e209a608fdf075b4_63079260.jpg temp/1751928388_987741_1371104930_a48931b4f498600c6a324146ea441fee_8266382.jpg temp/1751928388_987741_1371104928_b5ea4977e01a15c61b2c5142e4167b3f_61898469.jpg temp/1751928388_987741_1371104927_94f37de817031ac5c936702b3c305fa5_73925797.jpg temp/1751928388_987741_1371104925_7808d3d581471c6728a6a6bc9c506805_75031786.jpg temp/1751928388_987741_1371104844_89b1b3384c7aff7825254c8933f0b2b1_71143423.jpg temp/1751928388_987741_1371104843_1cc2dae6ca2ccfad02450fbfaf09badd_36585484.jpg temp/1751928388_987741_1371104842_cfde0b66f4c8bd4447d7ee45ab8236f3_4234483.jpg temp/1751928388_987741_1371104841_0bda2f1e20f22a85edc128b88d7be453_70839289.jpg temp/1751928388_987741_1371104840_f576a3b452b18219cb7d466b1ff9466d_28485051.jpg temp/1751928388_987741_1371104839_63bf9fd993b5cfa8bcdc302fb7a360ee_99093031.jpg temp/1751928388_987741_1371104708_7c5220e26484fa0d6e079e53987eabce_70126394.jpg temp/1751928388_987741_1371104707_5952a3b72fc0685aa804dbf5d8c51088_13673926.jpg temp/1751928388_987741_1371104706_34cd1809014169a4546294fc6ad9a67e_82370934.jpg temp/1751928388_987741_1371104705_ab0a8566a1e92293ec9bc893ad0d01a2_61536976.jpg Found 100 images belonging to 1 classes. begin to do the prediction : time used to do the prediction : 6.985392808914185 (100,) (100, 12) (100, 1280) shape of features : (100, 1280) shape of new features : (1, 100, 1280) save descriptor for thcl : 3847 time to traite the descriptors : 0.38507533073425293 storage_type for insertDescriptorsMulti : 3 To insert : 1371107235 To insert : 1371107234 To insert : 1371107233 To insert : 1371107232 To insert : 1371107231 To insert : 1371107230 To insert : 1371107152 To insert : 1371107151 To insert : 1371107150 To insert : 1371107149 To insert : 1371107148 To insert : 1371107147 To insert : 1371107088 To insert : 1371107087 To insert : 1371107086 To insert : 1371107085 To insert : 1371107084 To insert : 1371107083 To insert : 1371107017 To insert : 1371107016 To insert : 1371107015 To insert : 1371107014 To insert : 1371107013 To insert : 1371107012 To insert : 1371106963 To insert : 1371106962 To insert : 1371106961 To insert : 1371106960 To insert : 1371106959 To insert : 1371106958 To insert : 1371106643 To insert : 1371106642 To insert : 1371106640 To insert : 1371106639 To insert : 1371106638 To insert : 1371106637 To insert : 1371106214 To insert : 1371106212 To insert : 1371106210 To insert : 1371106208 To insert : 1371106206 To insert : 1371106204 To insert : 1371106025 To insert : 1371106024 To insert : 1371106023 To insert : 1371106022 To insert : 1371106021 To insert : 1371106020 To insert : 1371105995 To insert : 1371105994 To insert : 1371105993 To insert : 1371105992 To insert : 1371105991 To insert : 1371105990 To insert : 1371105743 To insert : 1371105742 To insert : 1371105741 To insert : 1371105740 To insert : 1371105739 To insert : 1371105738 To insert : 1371105542 To insert : 1371105541 To insert : 1371105540 To insert : 1371105539 To insert : 1371105538 To insert : 1371105537 To insert : 1371105526 To insert : 1371105525 To insert : 1371105524 To insert : 1371105523 To insert : 1371105522 To insert : 1371105521 To insert : 1371105119 To insert : 1371105118 To insert : 1371105117 To insert : 1371105116 To insert : 1371105115 To insert : 1371105114 To insert : 1371105080 To insert : 1371105079 To insert : 1371105078 To insert : 1371105077 To insert : 1371105075 To insert : 1371105074 To insert : 1371104934 To insert : 1371104932 To insert : 1371104930 To insert : 1371104928 To insert : 1371104927 To insert : 1371104925 To insert : 1371104844 To insert : 1371104843 To insert : 1371104842 To insert : 1371104841 To insert : 1371104840 To insert : 1371104839 To insert : 1371104708 To insert : 1371104707 To insert : 1371104706 To insert : 1371104705 time to insert the descriptors : 18.719314575195312 Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : tfhub_classification2 we use saveGeneral [1371107235, 1371107234, 1371107233, 1371107232, 1371107231, 1371107230, 1371107152, 1371107151, 1371107150, 1371107149, 1371107148, 1371107147, 1371107088, 1371107087, 1371107086, 1371107085, 1371107084, 1371107083, 1371107017, 1371107016, 1371107015, 1371107014, 1371107013, 1371107012, 1371106963, 1371106962, 1371106961, 1371106960, 1371106959, 1371106958, 1371106643, 1371106642, 1371106640, 1371106639, 1371106638, 1371106637, 1371106214, 1371106212, 1371106210, 1371106208, 1371106206, 1371106204, 1371106025, 1371106024, 1371106023, 1371106022, 1371106021, 1371106020, 1371105995, 1371105994, 1371105993, 1371105992, 1371105991, 1371105990, 1371105743, 1371105742, 1371105741, 1371105740, 1371105739, 1371105738, 1371105542, 1371105541, 1371105540, 1371105539, 1371105538, 1371105537, 1371105526, 1371105525, 1371105524, 1371105523, 1371105522, 1371105521, 1371105119, 1371105118, 1371105117, 1371105116, 1371105115, 1371105114, 1371105080, 1371105079, 1371105078, 1371105077, 1371105075, 1371105074, 1371104934, 1371104932, 1371104930, 1371104928, 1371104927, 1371104925, 1371104844, 1371104843, 1371104842, 1371104841, 1371104840, 1371104839, 1371104708, 1371104707, 1371104706, 1371104705] Looping around the photos to save general results len do output : 100 /1371107235Didn't retrieve data . /1371107234Didn't retrieve data . /1371107233Didn't retrieve data . /1371107232Didn't retrieve data . /1371107231Didn't retrieve data . /1371107230Didn't retrieve data . /1371107152Didn't retrieve data . /1371107151Didn't retrieve data . /1371107150Didn't retrieve data . /1371107149Didn't retrieve data . /1371107148Didn't retrieve data . /1371107147Didn't retrieve data . /1371107088Didn't retrieve data . /1371107087Didn't retrieve data . /1371107086Didn't retrieve data . /1371107085Didn't retrieve data . /1371107084Didn't retrieve data . /1371107083Didn't retrieve data . /1371107017Didn't retrieve data . /1371107016Didn't retrieve data . /1371107015Didn't retrieve data . /1371107014Didn't retrieve data . /1371107013Didn't retrieve data . /1371107012Didn't retrieve data . /1371106963Didn't retrieve data . /1371106962Didn't retrieve data . /1371106961Didn't retrieve data . /1371106960Didn't retrieve data . /1371106959Didn't retrieve data . /1371106958Didn't retrieve data . /1371106643Didn't retrieve data . /1371106642Didn't retrieve data . /1371106640Didn't retrieve data . /1371106639Didn't retrieve data . /1371106638Didn't retrieve data . /1371106637Didn't retrieve data . /1371106214Didn't retrieve data . /1371106212Didn't retrieve data . /1371106210Didn't retrieve data . /1371106208Didn't retrieve data . /1371106206Didn't retrieve data . /1371106204Didn't retrieve data . /1371106025Didn't retrieve data . /1371106024Didn't retrieve data . /1371106023Didn't retrieve data . /1371106022Didn't retrieve data . /1371106021Didn't retrieve data . /1371106020Didn't retrieve data . /1371105995Didn't retrieve data . /1371105994Didn't retrieve data . /1371105993Didn't retrieve data . /1371105992Didn't retrieve data . /1371105991Didn't retrieve data . /1371105990Didn't retrieve data . /1371105743Didn't retrieve data . /1371105742Didn't retrieve data . /1371105741Didn't retrieve data . /1371105740Didn't retrieve data . /1371105739Didn't retrieve data . /1371105738Didn't retrieve data . /1371105542Didn't retrieve data . /1371105541Didn't retrieve data . /1371105540Didn't retrieve data . /1371105539Didn't retrieve data . /1371105538Didn't retrieve data . /1371105537Didn't retrieve data . /1371105526Didn't retrieve data . /1371105525Didn't retrieve data . /1371105524Didn't retrieve data . /1371105523Didn't retrieve data . /1371105522Didn't retrieve data . /1371105521Didn't retrieve data . /1371105119Didn't retrieve data . /1371105118Didn't retrieve data . /1371105117Didn't retrieve data . /1371105116Didn't retrieve data . /1371105115Didn't retrieve data . /1371105114Didn't retrieve data . /1371105080Didn't retrieve data . /1371105079Didn't retrieve data . /1371105078Didn't retrieve data . /1371105077Didn't retrieve data . /1371105075Didn't retrieve data . /1371105074Didn't retrieve data . /1371104934Didn't retrieve data . /1371104932Didn't retrieve data . /1371104930Didn't retrieve data . /1371104928Didn't retrieve data . /1371104927Didn't retrieve data . /1371104925Didn't retrieve data . /1371104844Didn't retrieve data . /1371104843Didn't retrieve data . /1371104842Didn't retrieve data . /1371104841Didn't retrieve data . /1371104840Didn't retrieve data . /1371104839Didn't retrieve data . /1371104708Didn't retrieve data . /1371104707Didn't retrieve data . /1371104706Didn't retrieve data . /1371104705Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107235', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107234', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107233', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107232', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107231', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107230', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107152', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107151', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107150', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107149', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107148', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107147', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107088', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107087', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107086', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107085', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107084', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107083', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107017', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371107016', None, None, None, None, None, 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None, None, '3248093') ('533', '24702164', '1371105521', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371105119', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371105118', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371105117', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371105116', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371105115', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371105114', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371105080', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371105079', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371105078', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371105077', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371105075', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371105074', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104934', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104932', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104930', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104928', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104927', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104925', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104844', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104843', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104842', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104841', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104840', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104839', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104708', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104707', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104706', None, None, None, None, None, '3248093') ('533', None, None, None, None, None, None, None, '3248093') ('533', '24702164', '1371104705', None, None, None, None, None, '3248093') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 200 time used for this insertion : 0.03960752487182617 save_final save missing photos in datou_result : time spend for datou_step_exec : 114.14837670326233 time spend to save output : 0.04248189926147461 total time spend for step 1 : 114.1908586025238 step2:argmax Tue Jul 8 00:48:37 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 VR 22-3-18 : For now we do not clean correctly the datou structure Beginning of datou_step Argmax ! Inside saveOutput : final : True verbose : 0 photo_id : 1371107235 output[photo_id] : [[(1371107235, '05102018_Papier_non_papier_presque_vide', 0.92556685, 4557, 3513), (1371107235, 'tapis_vide', 0.82092834, 4374, 3379), (1371107235, 'tapis_vide', 0.91090643, 4932, 3847)], 'temp/1751928388_987741_1371107235_36413f8940e049f5c43bb5b7d1572b7c_37357655.jpg'] photo_id : 1371107234 output[photo_id] : [[(1371107234, '05102018_Papier_non_papier_presque_vide', 0.96439356, 4557, 3513), (1371107234, 'tapis_vide', 0.6259362, 4374, 3379), (1371107234, 'tapis_vide', 0.78251904, 4932, 3847)], 'temp/1751928388_987741_1371107234_3ae1a0b74f0aebdf41605898b6206c6a_970112.jpg'] photo_id : 1371107233 output[photo_id] : [[(1371107233, '05102018_Papier_non_papier_presque_vide', 0.97059846, 4557, 3513), (1371107233, 'tapis_vide', 0.52472293, 4374, 3379), (1371107233, 'tapis_vide', 0.79555476, 4932, 3847)], 'temp/1751928388_987741_1371107233_1713029ad0dea59a9be7947cbeeb2522_49771439.jpg'] photo_id : 1371107232 output[photo_id] : [[(1371107232, '05102018_Papier_non_papier_presque_vide', 0.8674459, 4557, 3513), (1371107232, 'tapis_vide', 0.64891076, 4374, 3379), (1371107232, 'tapis_vide', 0.74555075, 4932, 3847)], 'temp/1751928388_987741_1371107232_1c136381421be85c0e1a9b2361ae9ea9_98298806.jpg'] photo_id : 1371107231 output[photo_id] : [[(1371107231, '05102018_Papier_non_papier_presque_vide', 0.9345874, 4557, 3513), (1371107231, 'tapis_vide', 0.5743023, 4374, 3379), (1371107231, 'tapis_vide', 0.69085574, 4932, 3847)], 'temp/1751928388_987741_1371107231_89b2cbce8d87cde4f555532b648bd0ef_95375504.jpg'] photo_id : 1371107230 output[photo_id] : [[(1371107230, '05102018_Papier_non_papier_presque_vide', 0.9731404, 4557, 3513), (1371107230, 'tapis_vide', 0.6142998, 4374, 3379), (1371107230, 'tapis_vide', 0.716215, 4932, 3847)], 'temp/1751928388_987741_1371107230_13a6ba8c1824c6c1309584539079d362_26968815.jpg'] photo_id : 1371107152 output[photo_id] : [[(1371107152, '05102018_Papier_non_papier_presque_vide', 0.9776029, 4557, 3513), (1371107152, 'tapis_vide', 0.71647376, 4374, 3379), (1371107152, 'tapis_vide', 0.8167112, 4932, 3847)], 'temp/1751928388_987741_1371107152_d354a23a8bd07d486bbff7ae4afbdd83_40979874.jpg'] photo_id : 1371107151 output[photo_id] : [[(1371107151, '05102018_Papier_non_papier_presque_vide', 0.94780254, 4557, 3513), (1371107151, 'tapis_vide', 0.69137186, 4374, 3379), (1371107151, 'tapis_vide', 0.87313056, 4932, 3847)], 'temp/1751928388_987741_1371107151_d50487ba9a84c73924ad43c87736636e_84658262.jpg'] photo_id : 1371107150 output[photo_id] : [[(1371107150, '05102018_Papier_non_papier_presque_vide', 0.95515496, 4557, 3513), (1371107150, 'tapis_vide', 0.6757133, 4374, 3379), (1371107150, 'tapis_vide', 0.7839873, 4932, 3847)], 'temp/1751928388_987741_1371107150_eb16c605b1425fe998316dec5b636724_39751318.jpg'] photo_id : 1371107149 output[photo_id] : [[(1371107149, '05102018_Papier_non_papier_presque_vide', 0.9250973, 4557, 3513), (1371107149, 'tapis_vide', 0.64037985, 4374, 3379), (1371107149, 'tapis_vide', 0.77509785, 4932, 3847)], 'temp/1751928388_987741_1371107149_e54c1bcb22cc8adfd5575f18d16d9b2a_97521844.jpg'] photo_id : 1371107148 output[photo_id] : [[(1371107148, '05102018_Papier_non_papier_presque_vide', 0.9190637, 4557, 3513), (1371107148, 'tapis_vide', 0.7034935, 4374, 3379), (1371107148, 'tapis_vide', 0.84387153, 4932, 3847)], 'temp/1751928388_987741_1371107148_3a9d9cbc87c57068bbda4c481264f8d2_14404407.jpg'] photo_id : 1371107147 output[photo_id] : [[(1371107147, '05102018_Papier_non_papier_presque_vide', 0.9372082, 4557, 3513), (1371107147, 'tapis_vide', 0.6392035, 4374, 3379), (1371107147, 'tapis_vide', 0.7874627, 4932, 3847)], 'temp/1751928388_987741_1371107147_0fa2533e7baafdff36e4bc26162899e3_86742560.jpg'] photo_id : 1371107088 output[photo_id] : [[(1371107088, '05102018_Papier_non_papier_presque_vide', 0.90599173, 4557, 3513), (1371107088, 'tapis_vide', 0.5808834, 4374, 3379), (1371107088, 'tapis_vide', 0.71209663, 4932, 3847)], 'temp/1751928388_987741_1371107088_82085206c19315cd429bd70364503474_95904715.jpg'] photo_id : 1371107087 output[photo_id] : [[(1371107087, '05102018_Papier_non_papier_presque_vide', 0.9269567, 4557, 3513), (1371107087, 'tapis_vide', 0.6548492, 4374, 3379), (1371107087, 'tapis_vide', 0.8500838, 4932, 3847)], 'temp/1751928388_987741_1371107087_730da9b87682d2aab70ad35a106a8236_48123189.jpg'] photo_id : 1371107086 output[photo_id] : [[(1371107086, '05102018_Papier_non_papier_presque_vide', 0.9727605, 4557, 3513), (1371107086, 'tapis_vide', 0.743516, 4374, 3379), (1371107086, 'tapis_vide', 0.855275, 4932, 3847)], 'temp/1751928388_987741_1371107086_257fd4d9df7827e962b704d8dcd08f38_25370856.jpg'] photo_id : 1371107085 output[photo_id] : [[(1371107085, '05102018_Papier_non_papier_presque_vide', 0.9533637, 4557, 3513), (1371107085, 'tapis_vide', 0.74147505, 4374, 3379), (1371107085, 'tapis_vide', 0.8588245, 4932, 3847)], 'temp/1751928388_987741_1371107085_dbcaee077c7508bd1e9f33cd0ac12147_36211673.jpg'] photo_id : 1371107084 output[photo_id] : [[(1371107084, '05102018_Papier_non_papier_presque_vide', 0.9533091, 4557, 3513), (1371107084, 'pet_clair', 0.5642327, 4374, 3379), (1371107084, 'pet_clair', 0.9080433, 4932, 3847)], 'temp/1751928388_987741_1371107084_2a21fd457b616b6db9fc8b9512b85359_34253462.jpg'] photo_id : 1371107083 output[photo_id] : [[(1371107083, '05102018_Papier_non_papier_presque_vide', 0.7415873, 4557, 3513), (1371107083, 'pet_clair', 0.6159658, 4374, 3379), (1371107083, 'pet_clair', 0.9214356, 4932, 3847)], 'temp/1751928388_987741_1371107083_3926ee649d6c01feadffa08e2cc58def_30431624.jpg'] photo_id : 1371107017 output[photo_id] : [[(1371107017, '05102018_Papier_non_papier_presque_vide', 0.9676154, 4557, 3513), (1371107017, 'tapis_vide', 0.7559303, 4374, 3379), (1371107017, 'tapis_vide', 0.870041, 4932, 3847)], 'temp/1751928388_987741_1371107017_1e4220ed6af41671da6154ba216628bb_8288845.jpg'] photo_id : 1371107016 output[photo_id] : [[(1371107016, '05102018_Papier_non_papier_presque_vide', 0.9788881, 4557, 3513), (1371107016, 'tapis_vide', 0.7231415, 4374, 3379), (1371107016, 'tapis_vide', 0.79077095, 4932, 3847)], 'temp/1751928388_987741_1371107016_857c355eff4397cd207a9c366fe0781f_91240614.jpg'] photo_id : 1371107015 output[photo_id] : [[(1371107015, '05102018_Papier_non_papier_presque_vide', 0.87378114, 4557, 3513), (1371107015, 'tapis_vide', 0.36273292, 4374, 3379), (1371107015, 'tapis_vide', 0.7596544, 4932, 3847)], 'temp/1751928388_987741_1371107015_82f0b916051dd7413261920a82f90877_71582834.jpg'] photo_id : 1371107014 output[photo_id] : [[(1371107014, '05102018_Papier_non_papier_presque_vide', 0.93145, 4557, 3513), (1371107014, 'tapis_vide', 0.70578814, 4374, 3379), (1371107014, 'tapis_vide', 0.76962155, 4932, 3847)], 'temp/1751928388_987741_1371107014_3302d089a7385d531e48ce9a2dd356c2_88557420.jpg'] photo_id : 1371107013 output[photo_id] : [[(1371107013, '05102018_Papier_non_papier_peu_dense', 0.57369787, 4557, 3513), (1371107013, 'pcnc', 0.87852037, 4374, 3379), (1371107013, 'emr', 0.47868276, 4932, 3847)], 'temp/1751928388_987741_1371107013_8be72d5d95634b999d00aa76f6515436_87398074.jpg'] photo_id : 1371107012 output[photo_id] : [[(1371107012, '05102018_Papier_non_papier_presque_vide', 0.3891009, 4557, 3513), (1371107012, 'pcnc', 0.9213301, 4374, 3379), (1371107012, 'emr', 0.5474579, 4932, 3847)], 'temp/1751928388_987741_1371107012_cd320f9c2dd2f12e3d636afe78e7bcd8_56471478.jpg'] photo_id : 1371106963 output[photo_id] : [[(1371106963, '05102018_Papier_non_papier_peu_dense', 0.32227486, 4557, 3513), (1371106963, 'pcnc', 0.76318836, 4374, 3379), (1371106963, 'pcnc', 0.4436361, 4932, 3847)], 'temp/1751928388_987741_1371106963_22adef885b51434fe590deb530e511e9_82884496.jpg'] photo_id : 1371106962 output[photo_id] : [[(1371106962, '05102018_Papier_non_papier_peu_dense', 0.88320917, 4557, 3513), (1371106962, 'pcnc', 0.83898646, 4374, 3379), (1371106962, 'pcm', 0.45533463, 4932, 3847)], 'temp/1751928388_987741_1371106962_6efe4658e6410978dca75c717f377fe5_62998897.jpg'] photo_id : 1371106961 output[photo_id] : [[(1371106961, '05102018_Papier_non_papier_peu_dense', 0.6438016, 4557, 3513), (1371106961, 'pcnc', 0.5644936, 4374, 3379), (1371106961, 'emr', 0.51017535, 4932, 3847)], 'temp/1751928388_987741_1371106961_b3281a33cd76b85cff4a531e2e72ebb2_17630130.jpg'] photo_id : 1371106960 output[photo_id] : [[(1371106960, '05102018_Papier_non_papier_presque_vide', 0.94902194, 4557, 3513), (1371106960, 'jrm', 0.3841007, 4374, 3379), (1371106960, 'jrm', 0.31434742, 4932, 3847)], 'temp/1751928388_987741_1371106960_76b4558fdbe1cb43f588549652e2230f_68443777.jpg'] photo_id : 1371106959 output[photo_id] : [[(1371106959, '05102018_Papier_non_papier_presque_vide', 0.9757582, 4557, 3513), (1371106959, 'tapis_vide', 0.6494749, 4374, 3379), (1371106959, 'tapis_vide', 0.71734667, 4932, 3847)], 'temp/1751928388_987741_1371106959_8ba7522e0ff64c91b2f447cb2bc5d380_83724593.jpg'] photo_id : 1371106958 output[photo_id] : [[(1371106958, '05102018_Papier_non_papier_presque_vide', 0.92511106, 4557, 3513), (1371106958, 'tapis_vide', 0.59264994, 4374, 3379), (1371106958, 'tapis_vide', 0.72562486, 4932, 3847)], 'temp/1751928388_987741_1371106958_c87ee41f114c37e584af19c0dbe1f538_36512566.jpg'] photo_id : 1371106643 output[photo_id] : [[(1371106643, '05102018_Papier_non_papier_presque_vide', 0.96893555, 4557, 3513), (1371106643, 'tapis_vide', 0.70964706, 4374, 3379), (1371106643, 'tapis_vide', 0.88809407, 4932, 3847)], 'temp/1751928388_987741_1371106643_8371b74ab4164348f902cac7e5df3790_54799870.jpg'] photo_id : 1371106642 output[photo_id] : [[(1371106642, '05102018_Papier_non_papier_presque_vide', 0.93845564, 4557, 3513), (1371106642, 'tapis_vide', 0.7096526, 4374, 3379), (1371106642, 'tapis_vide', 0.8027404, 4932, 3847)], 'temp/1751928388_987741_1371106642_743ea8fb24dc4798da9acc4ac4685590_51328197.jpg'] photo_id : 1371106640 output[photo_id] : [[(1371106640, '05102018_Papier_non_papier_presque_vide', 0.94976395, 4557, 3513), (1371106640, 'tapis_vide', 0.79125017, 4374, 3379), (1371106640, 'tapis_vide', 0.85593385, 4932, 3847)], 'temp/1751928388_987741_1371106640_7f09192929e68cfafc31a06cc40b7340_94199577.jpg'] photo_id : 1371106639 output[photo_id] : [[(1371106639, '05102018_Papier_non_papier_presque_vide', 0.9456706, 4557, 3513), (1371106639, 'tapis_vide', 0.7317546, 4374, 3379), (1371106639, 'tapis_vide', 0.812173, 4932, 3847)], 'temp/1751928388_987741_1371106639_93fc9eb3065cb7c46ce62e9659ce1c5c_86122100.jpg'] photo_id : 1371106638 output[photo_id] : [[(1371106638, '05102018_Papier_non_papier_presque_vide', 0.9411713, 4557, 3513), (1371106638, 'tapis_vide', 0.7110336, 4374, 3379), (1371106638, 'tapis_vide', 0.8406313, 4932, 3847)], 'temp/1751928388_987741_1371106638_16dc60438fca7973041ff794889f33d7_55373755.jpg'] photo_id : 1371106637 output[photo_id] : [[(1371106637, '05102018_Papier_non_papier_presque_vide', 0.9712967, 4557, 3513), (1371106637, 'tapis_vide', 0.6457702, 4374, 3379), (1371106637, 'tapis_vide', 0.787507, 4932, 3847)], 'temp/1751928388_987741_1371106637_2cc3839f6ea6cf06e861f9ba4ad328ac_43876780.jpg'] photo_id : 1371106214 output[photo_id] : [[(1371106214, '05102018_Papier_non_papier_presque_vide', 0.96225595, 4557, 3513), (1371106214, 'tapis_vide', 0.67170817, 4374, 3379), (1371106214, 'tapis_vide', 0.8138258, 4932, 3847)], 'temp/1751928388_987741_1371106214_304dba8d9931fa5a84b668fd99ccf120_54576578.jpg'] photo_id : 1371106212 output[photo_id] : [[(1371106212, '05102018_Papier_non_papier_presque_vide', 0.9756154, 4557, 3513), (1371106212, 'tapis_vide', 0.72757477, 4374, 3379), (1371106212, 'tapis_vide', 0.80843127, 4932, 3847)], 'temp/1751928388_987741_1371106212_4e80440bb9c7a23f292f079200c5560f_83978538.jpg'] photo_id : 1371106210 output[photo_id] : [[(1371106210, '05102018_Papier_non_papier_presque_vide', 0.97445685, 4557, 3513), (1371106210, 'tapis_vide', 0.73010623, 4374, 3379), (1371106210, 'tapis_vide', 0.79920214, 4932, 3847)], 'temp/1751928388_987741_1371106210_311897b91d3b5b8c333ddd1bf00e5bb6_2447091.jpg'] photo_id : 1371106208 output[photo_id] : [[(1371106208, '05102018_Papier_non_papier_presque_vide', 0.9664211, 4557, 3513), (1371106208, 'tapis_vide', 0.6867863, 4374, 3379), (1371106208, 'tapis_vide', 0.7795926, 4932, 3847)], 'temp/1751928388_987741_1371106208_4b6363168ebab44474c1b25794ad6490_2233558.jpg'] photo_id : 1371106206 output[photo_id] : [[(1371106206, '05102018_Papier_non_papier_presque_vide', 0.89178, 4557, 3513), (1371106206, 'tapis_vide', 0.7705732, 4374, 3379), (1371106206, 'tapis_vide', 0.88117653, 4932, 3847)], 'temp/1751928388_987741_1371106206_40723f1f841b87dde39680dfb0ae4c37_34300746.jpg'] photo_id : 1371106204 output[photo_id] : [[(1371106204, '05102018_Papier_non_papier_presque_vide', 0.97265416, 4557, 3513), (1371106204, 'tapis_vide', 0.672607, 4374, 3379), (1371106204, 'tapis_vide', 0.75735664, 4932, 3847)], 'temp/1751928388_987741_1371106204_69e6878b08b6803d187c10229abf31c4_37564251.jpg'] photo_id : 1371106025 output[photo_id] : [[(1371106025, '05102018_Papier_non_papier_presque_vide', 0.93896604, 4557, 3513), (1371106025, 'tapis_vide', 0.6398619, 4374, 3379), (1371106025, 'tapis_vide', 0.7688706, 4932, 3847)], 'temp/1751928388_987741_1371106025_ad6cc52ed6a598ad36c9e2a394be4480_93208476.jpg'] photo_id : 1371106024 output[photo_id] : [[(1371106024, '05102018_Papier_non_papier_presque_vide', 0.9736765, 4557, 3513), (1371106024, 'tapis_vide', 0.6165916, 4374, 3379), (1371106024, 'tapis_vide', 0.7022077, 4932, 3847)], 'temp/1751928388_987741_1371106024_2c4cddfc435ee936389ee1b2975743ac_45062988.jpg'] photo_id : 1371106023 output[photo_id] : [[(1371106023, '05102018_Papier_non_papier_presque_vide', 0.9501507, 4557, 3513), (1371106023, 'tapis_vide', 0.65577036, 4374, 3379), (1371106023, 'tapis_vide', 0.77041703, 4932, 3847)], 'temp/1751928388_987741_1371106023_35268dd67f72146ddb7e4d3fe0a4a33f_89091380.jpg'] photo_id : 1371106022 output[photo_id] : [[(1371106022, '05102018_Papier_non_papier_presque_vide', 0.91147125, 4557, 3513), (1371106022, 'tapis_vide', 0.64653367, 4374, 3379), (1371106022, 'tapis_vide', 0.7131593, 4932, 3847)], 'temp/1751928388_987741_1371106022_ec2f511dd074a36b7611a9c752389551_56513551.jpg'] photo_id : 1371106021 output[photo_id] : [[(1371106021, '05102018_Papier_non_papier_presque_vide', 0.9017628, 4557, 3513), (1371106021, 'tapis_vide', 0.5527143, 4374, 3379), (1371106021, 'tapis_vide', 0.7663068, 4932, 3847)], 'temp/1751928388_987741_1371106021_011be11f1ebf4434041ea3bc134b7d7b_7369172.jpg'] photo_id : 1371106020 output[photo_id] : [[(1371106020, '05102018_Papier_non_papier_presque_vide', 0.90008354, 4557, 3513), (1371106020, 'tapis_vide', 0.6234006, 4374, 3379), (1371106020, 'tapis_vide', 0.71010923, 4932, 3847)], 'temp/1751928388_987741_1371106020_0be595cd488c031fc225dca6a2e36889_51222107.jpg'] photo_id : 1371105995 output[photo_id] : [[(1371105995, '05102018_Papier_non_papier_presque_vide', 0.9540174, 4557, 3513), (1371105995, 'tapis_vide', 0.66164917, 4374, 3379), (1371105995, 'tapis_vide', 0.7526344, 4932, 3847)], 'temp/1751928388_987741_1371105995_65654dc9b5d33564b975df122a5e9ac4_23807778.jpg'] photo_id : 1371105994 output[photo_id] : [[(1371105994, '05102018_Papier_non_papier_presque_vide', 0.9386089, 4557, 3513), (1371105994, 'tapis_vide', 0.28788763, 4374, 3379), (1371105994, 'tapis_vide', 0.7394817, 4932, 3847)], 'temp/1751928388_987741_1371105994_b5557c0f8ad39385122105b90a9d5784_55311787.jpg'] photo_id : 1371105993 output[photo_id] : [[(1371105993, '05102018_Papier_non_papier_presque_vide', 0.8907908, 4557, 3513), (1371105993, 'tapis_vide', 0.5373113, 4374, 3379), (1371105993, 'tapis_vide', 0.7972941, 4932, 3847)], 'temp/1751928388_987741_1371105993_30e4c16d0392582858c2974fc4127547_31045351.jpg'] photo_id : 1371105992 output[photo_id] : [[(1371105992, '05102018_Papier_non_papier_presque_vide', 0.93444633, 4557, 3513), (1371105992, 'tapis_vide', 0.47597787, 4374, 3379), (1371105992, 'tapis_vide', 0.73928005, 4932, 3847)], 'temp/1751928388_987741_1371105992_a79c5cf2c14336da229be08c534f2859_65879064.jpg'] photo_id : 1371105991 output[photo_id] : [[(1371105991, '05102018_Papier_non_papier_presque_vide', 0.95086336, 4557, 3513), (1371105991, 'tapis_vide', 0.6415795, 4374, 3379), (1371105991, 'tapis_vide', 0.77751917, 4932, 3847)], 'temp/1751928388_987741_1371105991_2d0af6c1b474717bf9efedf0c9569061_72641870.jpg'] photo_id : 1371105990 output[photo_id] : [[(1371105990, '05102018_Papier_non_papier_presque_vide', 0.9158425, 4557, 3513), (1371105990, 'tapis_vide', 0.59335274, 4374, 3379), (1371105990, 'tapis_vide', 0.7499814, 4932, 3847)], 'temp/1751928388_987741_1371105990_6b1a780127ac13ba08db190132d2ef94_92437252.jpg'] photo_id : 1371105743 output[photo_id] : [[(1371105743, '05102018_Papier_non_papier_presque_vide', 0.9700058, 4557, 3513), (1371105743, 'tapis_vide', 0.6328531, 4374, 3379), (1371105743, 'tapis_vide', 0.78911996, 4932, 3847)], 'temp/1751928388_987741_1371105743_c4467964d3a38bb253f127883b9ef5d6_91809850.jpg'] photo_id : 1371105742 output[photo_id] : [[(1371105742, '05102018_Papier_non_papier_presque_vide', 0.9725586, 4557, 3513), (1371105742, 'tapis_vide', 0.7163803, 4374, 3379), (1371105742, 'tapis_vide', 0.86525995, 4932, 3847)], 'temp/1751928388_987741_1371105742_f646266921b7fe4cdc642ccbc568c287_44011976.jpg'] photo_id : 1371105741 output[photo_id] : [[(1371105741, '05102018_Papier_non_papier_presque_vide', 0.94851774, 4557, 3513), (1371105741, 'tapis_vide', 0.63169014, 4374, 3379), (1371105741, 'tapis_vide', 0.7945265, 4932, 3847)], 'temp/1751928388_987741_1371105741_969408ecfc1b7e05a5da96e9850ed4bc_71051188.jpg'] photo_id : 1371105740 output[photo_id] : [[(1371105740, '05102018_Papier_non_papier_presque_vide', 0.9007082, 4557, 3513), (1371105740, 'tapis_vide', 0.6694284, 4374, 3379), (1371105740, 'tapis_vide', 0.6926512, 4932, 3847)], 'temp/1751928388_987741_1371105740_a07b39c2d7ae99e3e33e1a02b8a0c756_65060770.jpg'] photo_id : 1371105739 output[photo_id] : [[(1371105739, '05102018_Papier_non_papier_presque_vide', 0.8838679, 4557, 3513), (1371105739, 'tapis_vide', 0.46784264, 4374, 3379), (1371105739, 'tapis_vide', 0.7242646, 4932, 3847)], 'temp/1751928388_987741_1371105739_6df363b919155d21f6f8c4de37a643fd_78777793.jpg'] photo_id : 1371105738 output[photo_id] : [[(1371105738, '05102018_Papier_non_papier_presque_vide', 0.91283804, 4557, 3513), (1371105738, 'tapis_vide', 0.7367765, 4374, 3379), (1371105738, 'tapis_vide', 0.87744784, 4932, 3847)], 'temp/1751928388_987741_1371105738_97008a84950c6b2e575d77708db247fe_63111858.jpg'] photo_id : 1371105542 output[photo_id] : [[(1371105542, '05102018_Papier_non_papier_presque_vide', 0.84986216, 4557, 3513), (1371105542, 'tapis_vide', 0.7073404, 4374, 3379), (1371105542, 'tapis_vide', 0.80374825, 4932, 3847)], 'temp/1751928388_987741_1371105542_840a8a3f59d21794256e20be5fe817fd_96063960.jpg'] photo_id : 1371105541 output[photo_id] : [[(1371105541, '05102018_Papier_non_papier_presque_vide', 0.9455391, 4557, 3513), (1371105541, 'tapis_vide', 0.53376466, 4374, 3379), (1371105541, 'tapis_vide', 0.66788197, 4932, 3847)], 'temp/1751928388_987741_1371105541_4b7c19b013f325059a765dcefc7293c6_5091357.jpg'] photo_id : 1371105540 output[photo_id] : [[(1371105540, '05102018_Papier_non_papier_presque_vide', 0.93045145, 4557, 3513), (1371105540, 'tapis_vide', 0.61179817, 4374, 3379), (1371105540, 'tapis_vide', 0.7632288, 4932, 3847)], 'temp/1751928388_987741_1371105540_036857fff90459007b7dab2a8cbe7d7d_27560649.jpg'] photo_id : 1371105539 output[photo_id] : [[(1371105539, '05102018_Papier_non_papier_presque_vide', 0.95651007, 4557, 3513), (1371105539, 'tapis_vide', 0.69570214, 4374, 3379), (1371105539, 'tapis_vide', 0.81282985, 4932, 3847)], 'temp/1751928388_987741_1371105539_a9e8d19a47d2ed0dede321736a71e978_48416236.jpg'] photo_id : 1371105538 output[photo_id] : [[(1371105538, '05102018_Papier_non_papier_presque_vide', 0.97095263, 4557, 3513), (1371105538, 'tapis_vide', 0.71974367, 4374, 3379), (1371105538, 'tapis_vide', 0.8382355, 4932, 3847)], 'temp/1751928388_987741_1371105538_5c06a4fa75cc020801f3ef98085e034f_25544491.jpg'] photo_id : 1371105537 output[photo_id] : [[(1371105537, '05102018_Papier_non_papier_presque_vide', 0.9602422, 4557, 3513), (1371105537, 'tapis_vide', 0.6691808, 4374, 3379), (1371105537, 'tapis_vide', 0.74582076, 4932, 3847)], 'temp/1751928388_987741_1371105537_20621ed9c0916123f9a172890fb3763e_31238929.jpg'] photo_id : 1371105526 output[photo_id] : [[(1371105526, '05102018_Papier_non_papier_presque_vide', 0.9607181, 4557, 3513), (1371105526, 'jrm', 0.5818886, 4374, 3379), (1371105526, 'tapis_vide', 0.4291748, 4932, 3847)], 'temp/1751928388_987741_1371105526_83e74fe27dd7a7f400f2d6a5c8ab93cd_15124807.jpg'] photo_id : 1371105525 output[photo_id] : [[(1371105525, '05102018_Papier_non_papier_presque_vide', 0.6096897, 4557, 3513), (1371105525, 'jrm', 0.5104834, 4374, 3379), (1371105525, 'jrm', 0.5520268, 4932, 3847)], 'temp/1751928388_987741_1371105525_8a823d6e4fcead99f75baf981da24921_8836294.jpg'] photo_id : 1371105524 output[photo_id] : [[(1371105524, '05102018_Papier_non_papier_presque_vide', 0.42900684, 4557, 3513), (1371105524, 'film_pedb', 0.78011674, 4374, 3379), (1371105524, 'film_pedb', 0.8746707, 4932, 3847)], 'temp/1751928388_987741_1371105524_84795f8133dcf04b2977a33ff49a4976_47606870.jpg'] photo_id : 1371105523 output[photo_id] : [[(1371105523, '05102018_Papier_non_papier_tres_dense', 0.41773283, 4557, 3513), (1371105523, 'film_pedb', 0.8959041, 4374, 3379), (1371105523, 'film_pedb', 0.9309387, 4932, 3847)], 'temp/1751928388_987741_1371105523_f0bc750241f371a45149c6e76c7b9636_16129556.jpg'] photo_id : 1371105522 output[photo_id] : [[(1371105522, '05102018_Papier_non_papier_presque_vide', 0.34894952, 4557, 3513), (1371105522, 'film_pedb', 0.92407084, 4374, 3379), (1371105522, 'film_pedb', 0.8962301, 4932, 3847)], 'temp/1751928388_987741_1371105522_04f4ac13501fb85a5f11bde3b7783ecf_48442756.jpg'] photo_id : 1371105521 output[photo_id] : [[(1371105521, '05102018_Papier_non_papier_tres_dense', 0.478486, 4557, 3513), (1371105521, 'film_pedb', 0.92633086, 4374, 3379), (1371105521, 'film_pedb', 0.89484483, 4932, 3847)], 'temp/1751928388_987741_1371105521_db0e49c5eedbaffab60902c2e7c9c95b_79353537.jpg'] photo_id : 1371105119 output[photo_id] : [[(1371105119, '05102018_Papier_non_papier_tres_dense', 0.37119836, 4557, 3513), (1371105119, 'jrm', 0.8346445, 4374, 3379), (1371105119, 'jrm', 0.88678515, 4932, 3847)], 'temp/1751928388_987741_1371105119_ce4c093f7ba9e71c6696221205ace6eb_30158699.jpg'] photo_id : 1371105118 output[photo_id] : [[(1371105118, '05102018_Papier_non_papier_presque_vide', 0.57837474, 4557, 3513), (1371105118, 'jrm', 0.48143306, 4374, 3379), (1371105118, 'jrm', 0.8261515, 4932, 3847)], 'temp/1751928388_987741_1371105118_0ad9874ab62bf410f402aa5cede2643f_37305160.jpg'] photo_id : 1371105117 output[photo_id] : [[(1371105117, '05102018_Papier_non_papier_presque_vide', 0.85131484, 4557, 3513), (1371105117, 'tapis_vide', 0.5454558, 4374, 3379), (1371105117, 'tapis_vide', 0.7461488, 4932, 3847)], 'temp/1751928388_987741_1371105117_222361907bb6ddc4446285886bb45769_49824822.jpg'] photo_id : 1371105116 output[photo_id] : [[(1371105116, '05102018_Papier_non_papier_presque_vide', 0.9458499, 4557, 3513), (1371105116, 'tapis_vide', 0.43310004, 4374, 3379), (1371105116, 'tapis_vide', 0.7802499, 4932, 3847)], 'temp/1751928388_987741_1371105116_37731c43b52709a8df8cb3382c873746_15618788.jpg'] photo_id : 1371105115 output[photo_id] : [[(1371105115, '05102018_Papier_non_papier_presque_vide', 0.9792415, 4557, 3513), (1371105115, 'tapis_vide', 0.41056186, 4374, 3379), (1371105115, 'tapis_vide', 0.7262864, 4932, 3847)], 'temp/1751928388_987741_1371105115_bbce075d667f313d0344088da54a4270_99979524.jpg'] photo_id : 1371105114 output[photo_id] : [[(1371105114, '05102018_Papier_non_papier_presque_vide', 0.9030194, 4557, 3513), (1371105114, 'tapis_vide', 0.5754725, 4374, 3379), (1371105114, 'tapis_vide', 0.8169304, 4932, 3847)], 'temp/1751928388_987741_1371105114_e956e777802c72b58e1f839f17b654f3_53370692.jpg'] photo_id : 1371105080 output[photo_id] : [[(1371105080, '05102018_Papier_non_papier_presque_vide', 0.8809621, 4557, 3513), (1371105080, 'tapis_vide', 0.5806931, 4374, 3379), (1371105080, 'tapis_vide', 0.69740266, 4932, 3847)], 'temp/1751928388_987741_1371105080_406e6d78363ced3174676a86e76c7a0d_97055543.jpg'] photo_id : 1371105079 output[photo_id] : [[(1371105079, '05102018_Papier_non_papier_presque_vide', 0.9539137, 4557, 3513), (1371105079, 'tapis_vide', 0.762344, 4374, 3379), (1371105079, 'tapis_vide', 0.80838794, 4932, 3847)], 'temp/1751928388_987741_1371105079_08179cf21170f32e174c47ffc02bf5c2_44890549.jpg'] photo_id : 1371105078 output[photo_id] : [[(1371105078, '05102018_Papier_non_papier_presque_vide', 0.96160275, 4557, 3513), (1371105078, 'tapis_vide', 0.68340987, 4374, 3379), (1371105078, 'tapis_vide', 0.8172037, 4932, 3847)], 'temp/1751928388_987741_1371105078_e5f7c8e5a98fbd37620a2fc17b4b3ed6_59833065.jpg'] photo_id : 1371105077 output[photo_id] : [[(1371105077, '05102018_Papier_non_papier_presque_vide', 0.9704976, 4557, 3513), (1371105077, 'tapis_vide', 0.7280136, 4374, 3379), (1371105077, 'tapis_vide', 0.8583475, 4932, 3847)], 'temp/1751928388_987741_1371105077_2f7a42a80b5c157b463c3cf843a62f15_24477330.jpg'] photo_id : 1371105075 output[photo_id] : [[(1371105075, '05102018_Papier_non_papier_presque_vide', 0.9786435, 4557, 3513), (1371105075, 'tapis_vide', 0.73187083, 4374, 3379), (1371105075, 'tapis_vide', 0.90536153, 4932, 3847)], 'temp/1751928388_987741_1371105075_4e5548ffc19276b675de7f5b701ab414_11963564.jpg'] photo_id : 1371105074 output[photo_id] : [[(1371105074, '05102018_Papier_non_papier_presque_vide', 0.98049366, 4557, 3513), (1371105074, 'tapis_vide', 0.7042266, 4374, 3379), (1371105074, 'tapis_vide', 0.8810825, 4932, 3847)], 'temp/1751928388_987741_1371105074_8a2299c662049ef0bdcd2ceb2fd4aeaa_94205304.jpg'] photo_id : 1371104934 output[photo_id] : [[(1371104934, '05102018_Papier_non_papier_presque_vide', 0.97834957, 4557, 3513), (1371104934, 'tapis_vide', 0.5782307, 4374, 3379), (1371104934, 'tapis_vide', 0.7896797, 4932, 3847)], 'temp/1751928388_987741_1371104934_65daf1782631ea044fd89d05c22a3944_10715669.jpg'] photo_id : 1371104932 output[photo_id] : [[(1371104932, '05102018_Papier_non_papier_presque_vide', 0.98963755, 4557, 3513), (1371104932, 'tapis_vide', 0.5348314, 4374, 3379), (1371104932, 'tapis_vide', 0.7317631, 4932, 3847)], 'temp/1751928388_987741_1371104932_35b637ab4ff89e96e209a608fdf075b4_63079260.jpg'] photo_id : 1371104930 output[photo_id] : [[(1371104930, '05102018_Papier_non_papier_presque_vide', 0.9454447, 4557, 3513), (1371104930, 'tapis_vide', 0.53440505, 4374, 3379), (1371104930, 'tapis_vide', 0.69142604, 4932, 3847)], 'temp/1751928388_987741_1371104930_a48931b4f498600c6a324146ea441fee_8266382.jpg'] photo_id : 1371104928 output[photo_id] : [[(1371104928, '05102018_Papier_non_papier_presque_vide', 0.9851041, 4557, 3513), (1371104928, 'tapis_vide', 0.6824297, 4374, 3379), (1371104928, 'tapis_vide', 0.8151924, 4932, 3847)], 'temp/1751928388_987741_1371104928_b5ea4977e01a15c61b2c5142e4167b3f_61898469.jpg'] photo_id : 1371104927 output[photo_id] : [[(1371104927, '05102018_Papier_non_papier_presque_vide', 0.9317287, 4557, 3513), (1371104927, 'tapis_vide', 0.5650388, 4374, 3379), (1371104927, 'tapis_vide', 0.8361977, 4932, 3847)], 'temp/1751928388_987741_1371104927_94f37de817031ac5c936702b3c305fa5_73925797.jpg'] photo_id : 1371104925 output[photo_id] : [[(1371104925, '05102018_Papier_non_papier_presque_vide', 0.9152617, 4557, 3513), (1371104925, 'tapis_vide', 0.61011595, 4374, 3379), (1371104925, 'tapis_vide', 0.7474272, 4932, 3847)], 'temp/1751928388_987741_1371104925_7808d3d581471c6728a6a6bc9c506805_75031786.jpg'] photo_id : 1371104844 output[photo_id] : [[(1371104844, '05102018_Papier_non_papier_presque_vide', 0.68404704, 4557, 3513), (1371104844, 'pcnc', 0.6572028, 4374, 3379), (1371104844, 'pcnc', 0.44849032, 4932, 3847)], 'temp/1751928388_987741_1371104844_89b1b3384c7aff7825254c8933f0b2b1_71143423.jpg'] photo_id : 1371104843 output[photo_id] : [[(1371104843, '05102018_Papier_non_papier_tres_dense', 0.6351328, 4557, 3513), (1371104843, 'pcnc', 0.81151354, 4374, 3379), (1371104843, 'pcnc', 0.8771884, 4932, 3847)], 'temp/1751928388_987741_1371104843_1cc2dae6ca2ccfad02450fbfaf09badd_36585484.jpg'] photo_id : 1371104842 output[photo_id] : [[(1371104842, '05102018_Papier_non_papier_tres_peu_dense', 0.28587145, 4557, 3513), (1371104842, 'pcnc', 0.68544173, 4374, 3379), (1371104842, 'pcnc', 0.4510542, 4932, 3847)], 'temp/1751928388_987741_1371104842_cfde0b66f4c8bd4447d7ee45ab8236f3_4234483.jpg'] photo_id : 1371104841 output[photo_id] : [[(1371104841, '05102018_Papier_non_papier_tres_dense', 0.81371653, 4557, 3513), (1371104841, 'pcnc', 0.73275477, 4374, 3379), (1371104841, 'pcnc', 0.7743033, 4932, 3847)], 'temp/1751928388_987741_1371104841_0bda2f1e20f22a85edc128b88d7be453_70839289.jpg'] photo_id : 1371104840 output[photo_id] : [[(1371104840, '05102018_Papier_non_papier_presque_vide', 0.285236, 4557, 3513), (1371104840, 'pcnc', 0.84455544, 4374, 3379), (1371104840, 'pcnc', 0.82178044, 4932, 3847)], 'temp/1751928388_987741_1371104840_f576a3b452b18219cb7d466b1ff9466d_28485051.jpg'] photo_id : 1371104839 output[photo_id] : [[(1371104839, '05102018_Papier_non_papier_tres_dense', 0.7884558, 4557, 3513), (1371104839, 'pcnc', 0.8782, 4374, 3379), (1371104839, 'pcnc', 0.7039789, 4932, 3847)], 'temp/1751928388_987741_1371104839_63bf9fd993b5cfa8bcdc302fb7a360ee_99093031.jpg'] photo_id : 1371104708 output[photo_id] : [[(1371104708, '05102018_Papier_non_papier_presque_vide', 0.91238356, 4557, 3513), (1371104708, 'tapis_vide', 0.5955041, 4374, 3379), (1371104708, 'tapis_vide', 0.8504325, 4932, 3847)], 'temp/1751928388_987741_1371104708_7c5220e26484fa0d6e079e53987eabce_70126394.jpg'] photo_id : 1371104707 output[photo_id] : [[(1371104707, '05102018_Papier_non_papier_presque_vide', 0.92706996, 4557, 3513), (1371104707, 'tapis_vide', 0.61872643, 4374, 3379), (1371104707, 'tapis_vide', 0.7928551, 4932, 3847)], 'temp/1751928388_987741_1371104707_5952a3b72fc0685aa804dbf5d8c51088_13673926.jpg'] photo_id : 1371104706 output[photo_id] : [[(1371104706, '05102018_Papier_non_papier_presque_vide', 0.9693846, 4557, 3513), (1371104706, 'tapis_vide', 0.7116203, 4374, 3379), (1371104706, 'tapis_vide', 0.82895404, 4932, 3847)], 'temp/1751928388_987741_1371104706_34cd1809014169a4546294fc6ad9a67e_82370934.jpg'] photo_id : 1371104705 output[photo_id] : [[(1371104705, '05102018_Papier_non_papier_presque_vide', 0.93469024, 4557, 3513), (1371104705, 'tapis_vide', 0.70794964, 4374, 3379), (1371104705, 'tapis_vide', 0.8173628, 4932, 3847)], 'temp/1751928388_987741_1371104705_ab0a8566a1e92293ec9bc893ad0d01a2_61536976.jpg'] begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 300 time used for this insertion : 0.05772542953491211 begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 300 time used for this insertion : 0.02556896209716797 len list_finale : 300, len picture : 100 begin to insert list_values into mtr_datou_result : length of list_values in save_final : 300 time used for this insertion : 0.033226966857910156 saving photo_ids in datou_result begin to insert list_values into mtr_datou_result : length of list_values in save_final : 100 time used for this insertion : 0.03354763984680176 save missing photos in datou_result : time spend for datou_step_exec : 0.002719402313232422 time spend to save output : 0.19641757011413574 total time spend for step 2 : 0.19913697242736816 caffe_path_current : About to save ! 2 After save, about to update current ! update_current_state 53.59user 6.75system 2:13.58elapsed 45%CPU (0avgtext+0avgdata 3015456maxresident)k 48inputs+421592outputs (1major+2099579minor)pagefaults 0swaps