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 : 3341132 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 no input labels no input values updating current state to 1 we have a portfolio with more photos than limit : 4360>100 please execute split_portfolio.py -i 26046584 -l 100 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 533, datou_cur_ids : ['3551871'] with mtr_portfolio_ids : ['26046584'] and first list_photo_ids : [] new path : /proc/3341132/ 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 ! BFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 95 ; length of list_pids : 95 ; length of list_args : 95 time to download the photos : 14.724400281906128 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 Aug 19 18:07:43 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 2025-08-19 18:07:47.936170: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-08-19 18:07:47.977006: 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 2025-08-19 18:07:47.977965: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-08-19 18:07:47.984929: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-08-19 18:07:48.001529: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-08-19 18:07:48.004411: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-08-19 18:07:48.011131: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-08-19 18:07:48.014034: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-08-19 18:07:48.030435: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-08-19 18:07:48.031828: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-08-19 18:07:48.032706: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-08-19 18:07:48.064589: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3492910000 Hz 2025-08-19 18:07:48.066698: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f4e60000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-08-19 18:07:48.066739: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-08-19 18:07:48.211656: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1ee6d120 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-08-19 18:07:48.211721: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-08-19 18:07:48.212951: 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 2025-08-19 18:07:48.213050: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-08-19 18:07:48.213080: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-08-19 18:07:48.213106: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-08-19 18:07:48.213132: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-08-19 18:07:48.213159: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-08-19 18:07:48.213184: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-08-19 18:07:48.213214: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-08-19 18:07:48.214772: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-08-19 18:07:48.215338: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-08-19 18:07:48.216307: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-08-19 18:07:48.216331: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-08-19 18:07:48.216361: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-08-19 18:07:48.218001: 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 : 4883 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 : 10.279246807098389 time used to load_weights : 0.5867516994476318 0it [00:00, ?it/s] 24it [00:00, 219.18it/s] 46it [00:00, 121.44it/s] 81it [00:00, 191.79it/s] 95it [00:00, 191.05it/s]2025-08-19 18:08:02.384799: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-08-19 18:08:03.030480: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 temp/1755619648_3341132_1377912499_71a532643b6aaad97884274e74f27d7f.jpg temp/1755619648_3341132_1377912495_c282e13a86af8f743ca7368b20ef1434.jpg temp/1755619648_3341132_1377912492_e3b12ac365d6ccf348acf59572c55303.jpg temp/1755619648_3341132_1377912489_0b51eb7407bed84e3db690ff85beadca.jpg temp/1755619648_3341132_1377912485_d641a06ffcea9d6f597b55a1967ae124.jpg 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temp/1755619648_3341132_1377898396_f1a38e8de45129f530ec5c5399d9abed.jpg temp/1755619648_3341132_1377898394_4b784f0ab8c8980370fb96e1d64866bc.jpg temp/1755619648_3341132_1377898392_345fb4008378a67871617197fcde58b4.jpg temp/1755619648_3341132_1377898371_bddbb49ccf77810e2980d577dbb109be.jpg temp/1755619648_3341132_1377898370_dee8b462d7725c2c0b533d4fa7d5f248.jpg temp/1755619648_3341132_1377898369_4ffd6d817126746b6bfe6e9bfab60c0c.jpg temp/1755619648_3341132_1377898367_ca30f84c13f417ef61fa9815843554ff.jpg temp/1755619648_3341132_1377898365_df158e00e1d6523924bd2cefbc434d9a.jpg temp/1755619648_3341132_1377898356_cabbc96b38bf71b7481613db6a3f62de.jpg temp/1755619648_3341132_1377898352_7fd24c2239a1e5c5b990212f995eeb16.jpg temp/1755619648_3341132_1377898340_b7be4e6cd4fe7cdb2973b5f365a0f331.jpg temp/1755619648_3341132_1377898338_87a9812bd3a6158a8190f982d1be7dbb.jpg temp/1755619648_3341132_1377898336_f6657b8770da2db092a04cfddb5d39ca.jpg temp/1755619648_3341132_1377898216_de1e398523fda4f68d0f003820ebcaf1.jpg temp/1755619648_3341132_1377898207_231f860e8a6240977c3ed072a38d3946.jpg temp/1755619648_3341132_1377898196_48690b37f6726840d16a6d259e4b8581.jpg temp/1755619648_3341132_1377898187_2eb1e26ba21ee107e9b3c09475f826f5.jpg temp/1755619648_3341132_1377898184_f6e923dc3e09802d2021de325fe50a13.jpg temp/1755619648_3341132_1377898180_1c17a42231e539e77010655d2c335f2f.jpg temp/1755619648_3341132_1377898095_db92d469915198327d1c296bd7937591.jpg temp/1755619648_3341132_1377898093_c2f1e23f911721a331bd9d603880b549.jpg temp/1755619648_3341132_1377898092_91ee3c3d203d0311a1e0466aa4f45b33.jpg temp/1755619648_3341132_1377898090_ed84143f91d211978b4c1ab25c57a4f7.jpg temp/1755619648_3341132_1377898088_97395fc76c9713a4d8de18f9923efc03.jpg temp/1755619648_3341132_1377898086_717d2579e065304f4b35b1679aa0b1ad.jpg temp/1755619648_3341132_1377898037_924a71d91f80737d531cbc1d94762c7b.jpg temp/1755619648_3341132_1377898035_ceacc354112a0f910b49246dff221b6d.jpg temp/1755619648_3341132_1377898033_e5a72fbaa3d48cd63681ccd2f40e2ae0.jpg temp/1755619648_3341132_1377898031_9d86d775a5c28fb2ac011a66906f9f43.jpg temp/1755619648_3341132_1377898029_1b3cf80f0caf8de77dc36ba4914b8814.jpg temp/1755619648_3341132_1377898026_9b47fe326ca33b862840972a945fa108.jpg temp/1755619648_3341132_1377897631_c1b9d3abd2d37f8ae667df71b25310ed.jpg temp/1755619648_3341132_1377897611_cbb3356edd0fdb06d2132579def850d6.jpg temp/1755619648_3341132_1377897601_a592602ca450bd264104e3f4278b2cdf.jpg temp/1755619648_3341132_1377897590_1a06a88ea8463bc28478e4321322d584.jpg temp/1755619648_3341132_1377897580_ae3357ec3a336ab63e387a91c1d59512.jpg temp/1755619648_3341132_1377897579_43734fe3d3c57bd709ae640c9e3aa835.jpg temp/1755619648_3341132_1377897568_8f4451a0e5cf36f36338cec49b755288.jpg temp/1755619648_3341132_1377897536_5782f12f4d6195e869e8eee96da22ffd.jpg temp/1755619648_3341132_1377897497_108966a673bd25542a7f60747596ea5d.jpg temp/1755619648_3341132_1377897466_b2fb35c6bfe23609709cfdaa0cf8ff72.jpg temp/1755619648_3341132_1377897429_4c8355eb355fa22d976267e1762cb65d.jpg temp/1755619648_3341132_1377897410_0d86d837cae31cbdd34e69aa74c3e976.jpg temp/1755619648_3341132_1377897404_499f66bbc26c32ce41ccb034fca61021.jpg temp/1755619648_3341132_1377897399_744bf60e2304e51e47d7c9f6f7c89652.jpg temp/1755619648_3341132_1377897397_2dfd586828a09b35df39c384c766181c.jpg temp/1755619648_3341132_1377897386_4034b2aa7b1f97d0f4175cdf1179f50d.jpg temp/1755619648_3341132_1377897385_767a0356020b448cdee5d6fc87686dde.jpg temp/1755619648_3341132_1377897381_45f75cae3293a3cda241d16afc5eb74a.jpg temp/1755619648_3341132_1377897380_bbcbd7999291de1be265af14d2ff9f1a.jpg temp/1755619648_3341132_1377897354_bf06a1c7694f5e207aa9d677e16dcf68.jpg Found 95 images belonging to 1 classes. begin to do the prediction : time used to do the prediction : 12.112910270690918 (95,) (95, 5) (95, 2048) shape of features : (95, 2048) shape of new features : (1, 95, 2048) save descriptor for thcl : 3513 time to traite the descriptors : 0.5727150440216064 storage_type for insertDescriptorsMulti : 3 To insert : 1377912499 To insert : 1377912495 To insert : 1377912492 To insert : 1377912489 To insert : 1377912485 To insert : 1377912480 To insert : 1377912479 To insert : 1377912467 To insert : 1377912464 To insert : 1377912461 To insert : 1377900368 To insert : 1377900043 To insert : 1377899958 To insert : 1377899905 To insert : 1377899836 To insert : 1377899825 To insert : 1377899822 To insert : 1377899521 To insert : 1377899267 To insert : 1377899235 To insert : 1377899183 To insert : 1377899157 To insert : 1377899131 To insert : 1377899099 To insert : 1377898982 To insert : 1377898981 To insert : 1377898967 To insert : 1377898965 To insert : 1377898937 To insert : 1377898930 To insert : 1377898927 To insert : 1377898925 To insert : 1377898924 To insert : 1377898921 To insert : 1377898843 To insert : 1377898704 To insert : 1377898702 To insert : 1377898700 To insert : 1377898696 To insert : 1377898679 To insert : 1377898673 To insert : 1377898444 To insert : 1377898435 To insert : 1377898424 To insert : 1377898396 To insert : 1377898394 To insert : 1377898392 To insert : 1377898371 To insert : 1377898370 To insert : 1377898369 To insert : 1377898367 To insert : 1377898365 To insert : 1377898356 To insert : 1377898352 To insert : 1377898340 To insert : 1377898338 To insert : 1377898336 To insert : 1377898216 To insert : 1377898207 To insert : 1377898196 To insert : 1377898187 To insert : 1377898184 To insert : 1377898180 To insert : 1377898095 To insert : 1377898093 To insert : 1377898092 To insert : 1377898090 To insert : 1377898088 To insert : 1377898086 To insert : 1377898037 To insert : 1377898035 To insert : 1377898033 To insert : 1377898031 To insert : 1377898029 To insert : 1377898026 To insert : 1377897631 To insert : 1377897611 To insert : 1377897601 To insert : 1377897590 To insert : 1377897580 To insert : 1377897579 To insert : 1377897568 To insert : 1377897536 To insert : 1377897497 To insert : 1377897466 To insert : 1377897429 To insert : 1377897410 To insert : 1377897404 To insert : 1377897399 To insert : 1377897397 To insert : 1377897386 To insert : 1377897385 To insert : 1377897381 To insert : 1377897380 To insert : 1377897354 time to insert the descriptors : 17.776236295700073 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 : 8.245655536651611 time used to load_weights : 0.1542983055114746 0it [00:00, ?it/s] 19it [00:00, 189.31it/s] 38it [00:00, 155.88it/s] 61it [00:00, 184.56it/s] 83it [00:00, 194.76it/s] 95it [00:00, 174.78it/s]temp/1755619648_3341132_1377912499_71a532643b6aaad97884274e74f27d7f.jpg temp/1755619648_3341132_1377912495_c282e13a86af8f743ca7368b20ef1434.jpg temp/1755619648_3341132_1377912492_e3b12ac365d6ccf348acf59572c55303.jpg temp/1755619648_3341132_1377912489_0b51eb7407bed84e3db690ff85beadca.jpg temp/1755619648_3341132_1377912485_d641a06ffcea9d6f597b55a1967ae124.jpg 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temp/1755619648_3341132_1377898396_f1a38e8de45129f530ec5c5399d9abed.jpg temp/1755619648_3341132_1377898394_4b784f0ab8c8980370fb96e1d64866bc.jpg temp/1755619648_3341132_1377898392_345fb4008378a67871617197fcde58b4.jpg temp/1755619648_3341132_1377898371_bddbb49ccf77810e2980d577dbb109be.jpg temp/1755619648_3341132_1377898370_dee8b462d7725c2c0b533d4fa7d5f248.jpg temp/1755619648_3341132_1377898369_4ffd6d817126746b6bfe6e9bfab60c0c.jpg temp/1755619648_3341132_1377898367_ca30f84c13f417ef61fa9815843554ff.jpg temp/1755619648_3341132_1377898365_df158e00e1d6523924bd2cefbc434d9a.jpg temp/1755619648_3341132_1377898356_cabbc96b38bf71b7481613db6a3f62de.jpg temp/1755619648_3341132_1377898352_7fd24c2239a1e5c5b990212f995eeb16.jpg temp/1755619648_3341132_1377898340_b7be4e6cd4fe7cdb2973b5f365a0f331.jpg temp/1755619648_3341132_1377898338_87a9812bd3a6158a8190f982d1be7dbb.jpg temp/1755619648_3341132_1377898336_f6657b8770da2db092a04cfddb5d39ca.jpg temp/1755619648_3341132_1377898216_de1e398523fda4f68d0f003820ebcaf1.jpg temp/1755619648_3341132_1377898207_231f860e8a6240977c3ed072a38d3946.jpg temp/1755619648_3341132_1377898196_48690b37f6726840d16a6d259e4b8581.jpg temp/1755619648_3341132_1377898187_2eb1e26ba21ee107e9b3c09475f826f5.jpg temp/1755619648_3341132_1377898184_f6e923dc3e09802d2021de325fe50a13.jpg temp/1755619648_3341132_1377898180_1c17a42231e539e77010655d2c335f2f.jpg temp/1755619648_3341132_1377898095_db92d469915198327d1c296bd7937591.jpg temp/1755619648_3341132_1377898093_c2f1e23f911721a331bd9d603880b549.jpg temp/1755619648_3341132_1377898092_91ee3c3d203d0311a1e0466aa4f45b33.jpg temp/1755619648_3341132_1377898090_ed84143f91d211978b4c1ab25c57a4f7.jpg temp/1755619648_3341132_1377898088_97395fc76c9713a4d8de18f9923efc03.jpg temp/1755619648_3341132_1377898086_717d2579e065304f4b35b1679aa0b1ad.jpg temp/1755619648_3341132_1377898037_924a71d91f80737d531cbc1d94762c7b.jpg temp/1755619648_3341132_1377898035_ceacc354112a0f910b49246dff221b6d.jpg temp/1755619648_3341132_1377898033_e5a72fbaa3d48cd63681ccd2f40e2ae0.jpg temp/1755619648_3341132_1377898031_9d86d775a5c28fb2ac011a66906f9f43.jpg temp/1755619648_3341132_1377898029_1b3cf80f0caf8de77dc36ba4914b8814.jpg temp/1755619648_3341132_1377898026_9b47fe326ca33b862840972a945fa108.jpg temp/1755619648_3341132_1377897631_c1b9d3abd2d37f8ae667df71b25310ed.jpg temp/1755619648_3341132_1377897611_cbb3356edd0fdb06d2132579def850d6.jpg temp/1755619648_3341132_1377897601_a592602ca450bd264104e3f4278b2cdf.jpg temp/1755619648_3341132_1377897590_1a06a88ea8463bc28478e4321322d584.jpg temp/1755619648_3341132_1377897580_ae3357ec3a336ab63e387a91c1d59512.jpg temp/1755619648_3341132_1377897579_43734fe3d3c57bd709ae640c9e3aa835.jpg temp/1755619648_3341132_1377897568_8f4451a0e5cf36f36338cec49b755288.jpg temp/1755619648_3341132_1377897536_5782f12f4d6195e869e8eee96da22ffd.jpg temp/1755619648_3341132_1377897497_108966a673bd25542a7f60747596ea5d.jpg temp/1755619648_3341132_1377897466_b2fb35c6bfe23609709cfdaa0cf8ff72.jpg temp/1755619648_3341132_1377897429_4c8355eb355fa22d976267e1762cb65d.jpg temp/1755619648_3341132_1377897410_0d86d837cae31cbdd34e69aa74c3e976.jpg temp/1755619648_3341132_1377897404_499f66bbc26c32ce41ccb034fca61021.jpg temp/1755619648_3341132_1377897399_744bf60e2304e51e47d7c9f6f7c89652.jpg temp/1755619648_3341132_1377897397_2dfd586828a09b35df39c384c766181c.jpg temp/1755619648_3341132_1377897386_4034b2aa7b1f97d0f4175cdf1179f50d.jpg temp/1755619648_3341132_1377897385_767a0356020b448cdee5d6fc87686dde.jpg temp/1755619648_3341132_1377897381_45f75cae3293a3cda241d16afc5eb74a.jpg temp/1755619648_3341132_1377897380_bbcbd7999291de1be265af14d2ff9f1a.jpg temp/1755619648_3341132_1377897354_bf06a1c7694f5e207aa9d677e16dcf68.jpg Found 95 images belonging to 1 classes. begin to do the prediction : time used to do the prediction : 8.125352382659912 (95,) (95, 11) (95, 1280) shape of features : (95, 1280) shape of new features : (1, 95, 1280) save descriptor for thcl : 3379 time to traite the descriptors : 0.38733649253845215 storage_type for insertDescriptorsMulti : 3 To insert : 1377912499 To insert : 1377912495 To insert : 1377912492 To insert : 1377912489 To insert : 1377912485 To insert : 1377912480 To insert : 1377912479 To insert : 1377912467 To insert : 1377912464 To insert : 1377912461 To insert : 1377900368 To insert : 1377900043 To insert : 1377899958 To insert : 1377899905 To insert : 1377899836 To insert : 1377899825 To insert : 1377899822 To insert : 1377899521 To insert : 1377899267 To insert : 1377899235 To insert : 1377899183 To insert : 1377899157 To insert : 1377899131 To insert : 1377899099 To insert : 1377898982 To insert : 1377898981 To insert : 1377898967 To insert : 1377898965 To insert : 1377898937 To insert : 1377898930 To insert : 1377898927 To insert : 1377898925 To insert : 1377898924 To insert : 1377898921 To insert : 1377898843 To insert : 1377898704 To insert : 1377898702 To insert : 1377898700 To insert : 1377898696 To insert : 1377898679 To insert : 1377898673 To insert : 1377898444 To insert : 1377898435 To insert : 1377898424 To insert : 1377898396 To insert : 1377898394 To insert : 1377898392 To insert : 1377898371 To insert : 1377898370 To insert : 1377898369 To insert : 1377898367 To insert : 1377898365 To insert : 1377898356 To insert : 1377898352 To insert : 1377898340 To insert : 1377898338 To insert : 1377898336 To insert : 1377898216 To insert : 1377898207 To insert : 1377898196 To insert : 1377898187 To insert : 1377898184 To insert : 1377898180 To insert : 1377898095 To insert : 1377898093 To insert : 1377898092 To insert : 1377898090 To insert : 1377898088 To insert : 1377898086 To insert : 1377898037 To insert : 1377898035 To insert : 1377898033 To insert : 1377898031 To insert : 1377898029 To insert : 1377898026 To insert : 1377897631 To insert : 1377897611 To insert : 1377897601 To insert : 1377897590 To insert : 1377897580 To insert : 1377897579 To insert : 1377897568 To insert : 1377897536 To insert : 1377897497 To insert : 1377897466 To insert : 1377897429 To insert : 1377897410 To insert : 1377897404 To insert : 1377897399 To insert : 1377897397 To insert : 1377897386 To insert : 1377897385 To insert : 1377897381 To insert : 1377897380 To insert : 1377897354 time to insert the descriptors : 19.30797791481018 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 : 8.152462720870972 time used to load_weights : 0.15070724487304688 0it [00:00, ?it/s] 31it [00:00, 297.12it/s] 64it [00:00, 315.53it/s] 95it [00:00, 328.54it/s]temp/1755619648_3341132_1377912499_71a532643b6aaad97884274e74f27d7f.jpg 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temp/1755619648_3341132_1377899836_1c737a5f43fb56342909f5920fb74caf.jpg temp/1755619648_3341132_1377899825_a8be1cc68d5338dcc7773887fc28e282.jpg temp/1755619648_3341132_1377899822_99c7ca49b65895a8f18756bf4b24db11.jpg temp/1755619648_3341132_1377899521_32eb0c9b35b2b33e6eefbbabfea2d8ac.jpg temp/1755619648_3341132_1377899267_4964bec31c4992af2fe8b445488b700e.jpg temp/1755619648_3341132_1377899235_aaff333b750ee26ba4730f10d06ecf0f.jpg temp/1755619648_3341132_1377899183_b334e02f50620def0a497521713bba55.jpg temp/1755619648_3341132_1377899157_44527a0ab80f502e006853de378e9120.jpg temp/1755619648_3341132_1377899131_220efab6fa2c79d203073c8aabbd6d7e.jpg temp/1755619648_3341132_1377899099_26c1c3c6bac14812682e6925fbc100f7.jpg temp/1755619648_3341132_1377898982_0efed77e67b3885f16796a96917cd495.jpg temp/1755619648_3341132_1377898981_7874f0ae311f6b52021032ec5802b1e1.jpg temp/1755619648_3341132_1377898967_f937b79000b92aa2b05e1f50fa8211f0.jpg 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temp/1755619648_3341132_1377898673_c52983bcde2ece86f95618f187f1aa6a.jpg temp/1755619648_3341132_1377898444_ab7512832ce1d6ca4c6e1a9a5c7d5cce.jpg temp/1755619648_3341132_1377898435_b8381971e02808d37b3c269ee3eb6ac9.jpg temp/1755619648_3341132_1377898424_eba5349c6a70ab7bb4534c6705ba18af.jpg temp/1755619648_3341132_1377898396_f1a38e8de45129f530ec5c5399d9abed.jpg temp/1755619648_3341132_1377898394_4b784f0ab8c8980370fb96e1d64866bc.jpg temp/1755619648_3341132_1377898392_345fb4008378a67871617197fcde58b4.jpg temp/1755619648_3341132_1377898371_bddbb49ccf77810e2980d577dbb109be.jpg temp/1755619648_3341132_1377898370_dee8b462d7725c2c0b533d4fa7d5f248.jpg temp/1755619648_3341132_1377898369_4ffd6d817126746b6bfe6e9bfab60c0c.jpg temp/1755619648_3341132_1377898367_ca30f84c13f417ef61fa9815843554ff.jpg temp/1755619648_3341132_1377898365_df158e00e1d6523924bd2cefbc434d9a.jpg temp/1755619648_3341132_1377898356_cabbc96b38bf71b7481613db6a3f62de.jpg temp/1755619648_3341132_1377898352_7fd24c2239a1e5c5b990212f995eeb16.jpg temp/1755619648_3341132_1377898340_b7be4e6cd4fe7cdb2973b5f365a0f331.jpg temp/1755619648_3341132_1377898338_87a9812bd3a6158a8190f982d1be7dbb.jpg temp/1755619648_3341132_1377898336_f6657b8770da2db092a04cfddb5d39ca.jpg temp/1755619648_3341132_1377898216_de1e398523fda4f68d0f003820ebcaf1.jpg temp/1755619648_3341132_1377898207_231f860e8a6240977c3ed072a38d3946.jpg temp/1755619648_3341132_1377898196_48690b37f6726840d16a6d259e4b8581.jpg temp/1755619648_3341132_1377898187_2eb1e26ba21ee107e9b3c09475f826f5.jpg temp/1755619648_3341132_1377898184_f6e923dc3e09802d2021de325fe50a13.jpg temp/1755619648_3341132_1377898180_1c17a42231e539e77010655d2c335f2f.jpg temp/1755619648_3341132_1377898095_db92d469915198327d1c296bd7937591.jpg temp/1755619648_3341132_1377898093_c2f1e23f911721a331bd9d603880b549.jpg temp/1755619648_3341132_1377898092_91ee3c3d203d0311a1e0466aa4f45b33.jpg temp/1755619648_3341132_1377898090_ed84143f91d211978b4c1ab25c57a4f7.jpg temp/1755619648_3341132_1377898088_97395fc76c9713a4d8de18f9923efc03.jpg temp/1755619648_3341132_1377898086_717d2579e065304f4b35b1679aa0b1ad.jpg temp/1755619648_3341132_1377898037_924a71d91f80737d531cbc1d94762c7b.jpg temp/1755619648_3341132_1377898035_ceacc354112a0f910b49246dff221b6d.jpg temp/1755619648_3341132_1377898033_e5a72fbaa3d48cd63681ccd2f40e2ae0.jpg temp/1755619648_3341132_1377898031_9d86d775a5c28fb2ac011a66906f9f43.jpg temp/1755619648_3341132_1377898029_1b3cf80f0caf8de77dc36ba4914b8814.jpg temp/1755619648_3341132_1377898026_9b47fe326ca33b862840972a945fa108.jpg temp/1755619648_3341132_1377897631_c1b9d3abd2d37f8ae667df71b25310ed.jpg temp/1755619648_3341132_1377897611_cbb3356edd0fdb06d2132579def850d6.jpg temp/1755619648_3341132_1377897601_a592602ca450bd264104e3f4278b2cdf.jpg temp/1755619648_3341132_1377897590_1a06a88ea8463bc28478e4321322d584.jpg temp/1755619648_3341132_1377897580_ae3357ec3a336ab63e387a91c1d59512.jpg temp/1755619648_3341132_1377897579_43734fe3d3c57bd709ae640c9e3aa835.jpg temp/1755619648_3341132_1377897568_8f4451a0e5cf36f36338cec49b755288.jpg temp/1755619648_3341132_1377897536_5782f12f4d6195e869e8eee96da22ffd.jpg temp/1755619648_3341132_1377897497_108966a673bd25542a7f60747596ea5d.jpg temp/1755619648_3341132_1377897466_b2fb35c6bfe23609709cfdaa0cf8ff72.jpg temp/1755619648_3341132_1377897429_4c8355eb355fa22d976267e1762cb65d.jpg temp/1755619648_3341132_1377897410_0d86d837cae31cbdd34e69aa74c3e976.jpg temp/1755619648_3341132_1377897404_499f66bbc26c32ce41ccb034fca61021.jpg temp/1755619648_3341132_1377897399_744bf60e2304e51e47d7c9f6f7c89652.jpg temp/1755619648_3341132_1377897397_2dfd586828a09b35df39c384c766181c.jpg temp/1755619648_3341132_1377897386_4034b2aa7b1f97d0f4175cdf1179f50d.jpg temp/1755619648_3341132_1377897385_767a0356020b448cdee5d6fc87686dde.jpg temp/1755619648_3341132_1377897381_45f75cae3293a3cda241d16afc5eb74a.jpg temp/1755619648_3341132_1377897380_bbcbd7999291de1be265af14d2ff9f1a.jpg temp/1755619648_3341132_1377897354_bf06a1c7694f5e207aa9d677e16dcf68.jpg Found 95 images belonging to 1 classes. begin to do the prediction : time used to do the prediction : 7.880557537078857 (95,) (95, 12) (95, 1280) shape of features : (95, 1280) shape of new features : (1, 95, 1280) save descriptor for thcl : 3847 time to traite the descriptors : 0.38733601570129395 storage_type for insertDescriptorsMulti : 3 To insert : 1377912499 To insert : 1377912495 To insert : 1377912492 To insert : 1377912489 To insert : 1377912485 To insert : 1377912480 To insert : 1377912479 To insert : 1377912467 To insert : 1377912464 To insert : 1377912461 To insert : 1377900368 To insert : 1377900043 To insert : 1377899958 To insert : 1377899905 To insert : 1377899836 To insert : 1377899825 To insert : 1377899822 To insert : 1377899521 To insert : 1377899267 To insert : 1377899235 To insert : 1377899183 To insert : 1377899157 To insert : 1377899131 To insert : 1377899099 To insert : 1377898982 To insert : 1377898981 To insert : 1377898967 To insert : 1377898965 To insert : 1377898937 To insert : 1377898930 To insert : 1377898927 To insert : 1377898925 To insert : 1377898924 To insert : 1377898921 To insert : 1377898843 To insert : 1377898704 To insert : 1377898702 To insert : 1377898700 To insert : 1377898696 To insert : 1377898679 To insert : 1377898673 To insert : 1377898444 To insert : 1377898435 To insert : 1377898424 To insert : 1377898396 To insert : 1377898394 To insert : 1377898392 To insert : 1377898371 To insert : 1377898370 To insert : 1377898369 To insert : 1377898367 To insert : 1377898365 To insert : 1377898356 To insert : 1377898352 To insert : 1377898340 To insert : 1377898338 To insert : 1377898336 To insert : 1377898216 To insert : 1377898207 To insert : 1377898196 To insert : 1377898187 To insert : 1377898184 To insert : 1377898180 To insert : 1377898095 To insert : 1377898093 To insert : 1377898092 To insert : 1377898090 To insert : 1377898088 To insert : 1377898086 To insert : 1377898037 To insert : 1377898035 To insert : 1377898033 To insert : 1377898031 To insert : 1377898029 To insert : 1377898026 To insert : 1377897631 To insert : 1377897611 To insert : 1377897601 To insert : 1377897590 To insert : 1377897580 To insert : 1377897579 To insert : 1377897568 To insert : 1377897536 To insert : 1377897497 To insert : 1377897466 To insert : 1377897429 To insert : 1377897410 To insert : 1377897404 To insert : 1377897399 To insert : 1377897397 To insert : 1377897386 To insert : 1377897385 To insert : 1377897381 To insert : 1377897380 To insert : 1377897354 time to insert the descriptors : 20.343063592910767 Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : tfhub_classification2 we use saveGeneral [1377912499, 1377912495, 1377912492, 1377912489, 1377912485, 1377912480, 1377912479, 1377912467, 1377912464, 1377912461, 1377900368, 1377900043, 1377899958, 1377899905, 1377899836, 1377899825, 1377899822, 1377899521, 1377899267, 1377899235, 1377899183, 1377899157, 1377899131, 1377899099, 1377898982, 1377898981, 1377898967, 1377898965, 1377898937, 1377898930, 1377898927, 1377898925, 1377898924, 1377898921, 1377898843, 1377898704, 1377898702, 1377898700, 1377898696, 1377898679, 1377898673, 1377898444, 1377898435, 1377898424, 1377898396, 1377898394, 1377898392, 1377898371, 1377898370, 1377898369, 1377898367, 1377898365, 1377898356, 1377898352, 1377898340, 1377898338, 1377898336, 1377898216, 1377898207, 1377898196, 1377898187, 1377898184, 1377898180, 1377898095, 1377898093, 1377898092, 1377898090, 1377898088, 1377898086, 1377898037, 1377898035, 1377898033, 1377898031, 1377898029, 1377898026, 1377897631, 1377897611, 1377897601, 1377897590, 1377897580, 1377897579, 1377897568, 1377897536, 1377897497, 1377897466, 1377897429, 1377897410, 1377897404, 1377897399, 1377897397, 1377897386, 1377897385, 1377897381, 1377897380, 1377897354] Looping around the photos to save general results len do output : 95 /1377912499Didn't retrieve data . /1377912495Didn't retrieve data . /1377912492Didn't retrieve data . /1377912489Didn't retrieve data . /1377912485Didn't retrieve data . /1377912480Didn't retrieve data . /1377912479Didn't retrieve data . /1377912467Didn't retrieve data . /1377912464Didn't retrieve data . /1377912461Didn't retrieve data . /1377900368Didn't retrieve data . /1377900043Didn't retrieve data . /1377899958Didn't retrieve data . /1377899905Didn't retrieve data . /1377899836Didn't retrieve data . /1377899825Didn't retrieve data . /1377899822Didn't retrieve data . /1377899521Didn't retrieve data . /1377899267Didn't retrieve data . /1377899235Didn't retrieve data . /1377899183Didn't retrieve data . /1377899157Didn't retrieve data . /1377899131Didn't retrieve data . /1377899099Didn't retrieve data . /1377898982Didn't retrieve data . /1377898981Didn't retrieve data . /1377898967Didn't retrieve data . /1377898965Didn't retrieve data . /1377898937Didn't retrieve data . /1377898930Didn't retrieve data . /1377898927Didn't retrieve data . /1377898925Didn't retrieve data . /1377898924Didn't retrieve data . /1377898921Didn't retrieve data . /1377898843Didn't retrieve data . /1377898704Didn't retrieve data . /1377898702Didn't retrieve data . /1377898700Didn't retrieve data . /1377898696Didn't retrieve data . /1377898679Didn't retrieve data . /1377898673Didn't retrieve data . /1377898444Didn't retrieve data . /1377898435Didn't retrieve data . /1377898424Didn't retrieve data . /1377898396Didn't retrieve data . /1377898394Didn't retrieve data . /1377898392Didn't retrieve data . /1377898371Didn't retrieve data . /1377898370Didn't retrieve data . /1377898369Didn't retrieve data . /1377898367Didn't retrieve data . /1377898365Didn't retrieve data . /1377898356Didn't retrieve data . /1377898352Didn't retrieve data . /1377898340Didn't retrieve data . /1377898338Didn't retrieve data . /1377898336Didn't retrieve data . /1377898216Didn't retrieve data . /1377898207Didn't retrieve data . /1377898196Didn't retrieve data . /1377898187Didn't retrieve data . /1377898184Didn't retrieve data . /1377898180Didn't retrieve data . /1377898095Didn't retrieve data . /1377898093Didn't retrieve data . /1377898092Didn't retrieve data . /1377898090Didn't retrieve data . /1377898088Didn't retrieve data . /1377898086Didn't retrieve data . /1377898037Didn't retrieve data . /1377898035Didn't retrieve data . /1377898033Didn't retrieve data . /1377898031Didn't retrieve data . /1377898029Didn't retrieve data . /1377898026Didn't retrieve data . /1377897631Didn't retrieve data . /1377897611Didn't retrieve data . /1377897601Didn't retrieve data . /1377897590Didn't retrieve data . /1377897580Didn't retrieve data . /1377897579Didn't retrieve data . /1377897568Didn't retrieve data . /1377897536Didn't retrieve data . /1377897497Didn't retrieve data . /1377897466Didn't retrieve data . /1377897429Didn't retrieve data . /1377897410Didn't retrieve data . /1377897404Didn't retrieve data . /1377897399Didn't retrieve data . /1377897397Didn't retrieve data . /1377897386Didn't retrieve data . /1377897385Didn't retrieve data . /1377897381Didn't retrieve data . /1377897380Didn't retrieve data . /1377897354Didn'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, '3551871') ('533', '26046584', '1377912499', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', '26046584', '1377912495', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', '26046584', '1377912492', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', '26046584', '1377912489', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', '26046584', '1377912485', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', '26046584', '1377912480', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', '26046584', '1377912479', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', '26046584', '1377912467', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', '26046584', '1377912464', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', '26046584', '1377912461', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377900368', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377900043', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377899958', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377899905', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377899836', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377899825', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377899822', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377899521', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377899267', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377899235', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377899183', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377899157', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377899131', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377899099', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898982', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898981', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898967', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898965', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898937', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898930', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898927', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898925', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898924', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, 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'1377898336', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898216', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898207', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898196', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898187', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898184', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898180', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898095', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898093', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898092', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898090', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898088', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898086', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898037', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898035', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898033', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898031', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898029', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377898026', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897631', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897611', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897601', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897590', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897580', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897579', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897568', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897536', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897497', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897466', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897429', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897410', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897404', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897399', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897397', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897386', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897385', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897381', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897380', None, None, None, None, None, '3551871') ('533', None, None, None, None, None, None, None, '3551871') ('533', None, '1377897354', None, None, None, None, None, '3551871') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 190 time used for this insertion : 0.02672410011291504 save_final save missing photos in datou_result : time spend for datou_step_exec : 127.45282125473022 time spend to save output : 0.030185937881469727 total time spend for step 1 : 127.4830071926117 step2:argmax Tue Aug 19 18:09:50 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 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 : 1377912499 output[photo_id] : [[(1377912499, '05102018_Papier_non_papier_presque_vide', 0.8597394, 4557, 3513), (1377912499, 'jrm', 0.24564776, 4374, 3379), (1377912499, 'aluminium', 0.74671626, 4932, 3847)], 'temp/1755619648_3341132_1377912499_71a532643b6aaad97884274e74f27d7f.jpg'] photo_id : 1377912495 output[photo_id] : [[(1377912495, '05102018_Papier_non_papier_presque_vide', 0.9576813, 4557, 3513), (1377912495, 'tapis_vide', 0.67740977, 4374, 3379), (1377912495, 'tapis_vide', 0.89188886, 4932, 3847)], 'temp/1755619648_3341132_1377912495_c282e13a86af8f743ca7368b20ef1434.jpg'] photo_id : 1377912492 output[photo_id] : [[(1377912492, '05102018_Papier_non_papier_presque_vide', 0.9537077, 4557, 3513), (1377912492, 'tapis_vide', 0.7437783, 4374, 3379), (1377912492, 'tapis_vide', 0.8624373, 4932, 3847)], 'temp/1755619648_3341132_1377912492_e3b12ac365d6ccf348acf59572c55303.jpg'] photo_id : 1377912489 output[photo_id] : [[(1377912489, '05102018_Papier_non_papier_presque_vide', 0.9538468, 4557, 3513), (1377912489, 'tapis_vide', 0.7185896, 4374, 3379), (1377912489, 'tapis_vide', 0.88119495, 4932, 3847)], 'temp/1755619648_3341132_1377912489_0b51eb7407bed84e3db690ff85beadca.jpg'] photo_id : 1377912485 output[photo_id] : [[(1377912485, '05102018_Papier_non_papier_presque_vide', 0.9499725, 4557, 3513), (1377912485, 'tapis_vide', 0.71266943, 4374, 3379), (1377912485, 'tapis_vide', 0.887352, 4932, 3847)], 'temp/1755619648_3341132_1377912485_d641a06ffcea9d6f597b55a1967ae124.jpg'] photo_id : 1377912480 output[photo_id] : [[(1377912480, '05102018_Papier_non_papier_tres_dense', 0.4399298, 4557, 3513), (1377912480, 'ela', 0.8976945, 4374, 3379), (1377912480, 'ela', 0.8476455, 4932, 3847)], 'temp/1755619648_3341132_1377912480_7f4c7948293b7685f7ccdb3136324a75.jpg'] photo_id : 1377912479 output[photo_id] : [[(1377912479, '05102018_Papier_non_papier_presque_vide', 0.9567624, 4557, 3513), (1377912479, 'tapis_vide', 0.72437423, 4374, 3379), (1377912479, 'tapis_vide', 0.8796682, 4932, 3847)], 'temp/1755619648_3341132_1377912479_8bda75bd7cff1fbc2bb7f9728c9d9543.jpg'] photo_id : 1377912467 output[photo_id] : [[(1377912467, '05102018_Papier_non_papier_tres_dense', 0.39481202, 4557, 3513), (1377912467, 'ela', 0.91828316, 4374, 3379), (1377912467, 'ela', 0.87022567, 4932, 3847)], 'temp/1755619648_3341132_1377912467_12348c40d56920cfafd7b8e9acda0e9f.jpg'] photo_id : 1377912464 output[photo_id] : [[(1377912464, '05102018_Papier_non_papier_tres_dense', 0.48003176, 4557, 3513), (1377912464, 'ela', 0.9212414, 4374, 3379), (1377912464, 'ela', 0.90274733, 4932, 3847)], 'temp/1755619648_3341132_1377912464_a64a16c49d1bcd0385a162f16a8dee4d.jpg'] photo_id : 1377912461 output[photo_id] : [[(1377912461, '05102018_Papier_non_papier_tres_dense', 0.44438672, 4557, 3513), (1377912461, 'ela', 0.9088876, 4374, 3379), (1377912461, 'ela', 0.8737753, 4932, 3847)], 'temp/1755619648_3341132_1377912461_c4f20008bea2f79be85d61541bfc5d61.jpg'] photo_id : 1377900368 output[photo_id] : [[(1377900368, '05102018_Papier_non_papier_presque_vide', 0.9378358, 4557, 3513), (1377900368, 'tapis_vide', 0.6391588, 4374, 3379), (1377900368, 'tapis_vide', 0.8327564, 4932, 3847)], 'temp/1755619648_3341132_1377900368_7203f74ebec2a40837fe83fb8365066b.jpg'] photo_id : 1377900043 output[photo_id] : [[(1377900043, '05102018_Papier_non_papier_presque_vide', 0.92702353, 4557, 3513), (1377900043, 'tapis_vide', 0.8397053, 4374, 3379), (1377900043, 'tapis_vide', 0.8927565, 4932, 3847)], 'temp/1755619648_3341132_1377900043_bd1737dd996980d589c189fe45af680b.jpg'] photo_id : 1377899958 output[photo_id] : [[(1377899958, '05102018_Papier_non_papier_presque_vide', 0.96362126, 4557, 3513), (1377899958, 'tapis_vide', 0.7404206, 4374, 3379), (1377899958, 'tapis_vide', 0.897475, 4932, 3847)], 'temp/1755619648_3341132_1377899958_6ce0147a7a289d7c0661615cbb577ed7.jpg'] photo_id : 1377899905 output[photo_id] : [[(1377899905, '05102018_Papier_non_papier_presque_vide', 0.9600872, 4557, 3513), (1377899905, 'tapis_vide', 0.62029743, 4374, 3379), (1377899905, 'tapis_vide', 0.85210776, 4932, 3847)], 'temp/1755619648_3341132_1377899905_b212ece3e23a30abcb3a9419f11cebd9.jpg'] photo_id : 1377899836 output[photo_id] : [[(1377899836, '05102018_Papier_non_papier_presque_vide', 0.9625193, 4557, 3513), (1377899836, 'tapis_vide', 0.692582, 4374, 3379), (1377899836, 'tapis_vide', 0.8436227, 4932, 3847)], 'temp/1755619648_3341132_1377899836_1c737a5f43fb56342909f5920fb74caf.jpg'] photo_id : 1377899825 output[photo_id] : [[(1377899825, '05102018_Papier_non_papier_presque_vide', 0.9565763, 4557, 3513), (1377899825, 'tapis_vide', 0.6433758, 4374, 3379), (1377899825, 'tapis_vide', 0.8429079, 4932, 3847)], 'temp/1755619648_3341132_1377899825_a8be1cc68d5338dcc7773887fc28e282.jpg'] photo_id : 1377899822 output[photo_id] : [[(1377899822, '05102018_Papier_non_papier_presque_vide', 0.9767685, 4557, 3513), (1377899822, 'tapis_vide', 0.32741827, 4374, 3379), (1377899822, 'tapis_vide', 0.82308346, 4932, 3847)], 'temp/1755619648_3341132_1377899822_99c7ca49b65895a8f18756bf4b24db11.jpg'] photo_id : 1377899521 output[photo_id] : [[(1377899521, '05102018_Papier_non_papier_presque_vide', 0.70812774, 4557, 3513), (1377899521, 'pehd_pp', 0.2575075, 4374, 3379), (1377899521, 'pet_clair', 0.6225269, 4932, 3847)], 'temp/1755619648_3341132_1377899521_32eb0c9b35b2b33e6eefbbabfea2d8ac.jpg'] photo_id : 1377899267 output[photo_id] : [[(1377899267, '05102018_Papier_non_papier_presque_vide', 0.8352725, 4557, 3513), (1377899267, 'pet_clair', 0.52883327, 4374, 3379), (1377899267, 'pet_clair', 0.8460896, 4932, 3847)], 'temp/1755619648_3341132_1377899267_4964bec31c4992af2fe8b445488b700e.jpg'] photo_id : 1377899235 output[photo_id] : [[(1377899235, '05102018_Papier_non_papier_presque_vide', 0.7621224, 4557, 3513), (1377899235, 'pet_clair', 0.48857498, 4374, 3379), (1377899235, 'pet_clair', 0.8778278, 4932, 3847)], 'temp/1755619648_3341132_1377899235_aaff333b750ee26ba4730f10d06ecf0f.jpg'] photo_id : 1377899183 output[photo_id] : [[(1377899183, '05102018_Papier_non_papier_presque_vide', 0.89487237, 4557, 3513), (1377899183, 'pet_clair', 0.34928063, 4374, 3379), (1377899183, 'pet_clair', 0.7666776, 4932, 3847)], 'temp/1755619648_3341132_1377899183_b334e02f50620def0a497521713bba55.jpg'] photo_id : 1377899157 output[photo_id] : [[(1377899157, '05102018_Papier_non_papier_presque_vide', 0.70799154, 4557, 3513), (1377899157, 'pehd_pp', 0.25723806, 4374, 3379), (1377899157, 'pet_clair', 0.62261, 4932, 3847)], 'temp/1755619648_3341132_1377899157_44527a0ab80f502e006853de378e9120.jpg'] photo_id : 1377899131 output[photo_id] : [[(1377899131, '05102018_Papier_non_papier_presque_vide', 0.8203136, 4557, 3513), (1377899131, 'pet_clair', 0.30924958, 4374, 3379), (1377899131, 'pet_clair', 0.72058886, 4932, 3847)], 'temp/1755619648_3341132_1377899131_220efab6fa2c79d203073c8aabbd6d7e.jpg'] photo_id : 1377899099 output[photo_id] : [[(1377899099, '05102018_Papier_non_papier_presque_vide', 0.84210527, 4557, 3513), (1377899099, 'pet_clair', 0.475673, 4374, 3379), (1377899099, 'pet_clair', 0.8223776, 4932, 3847)], 'temp/1755619648_3341132_1377899099_26c1c3c6bac14812682e6925fbc100f7.jpg'] photo_id : 1377898982 output[photo_id] : [[(1377898982, '05102018_Papier_non_papier_presque_vide', 0.76210666, 4557, 3513), (1377898982, 'pet_clair', 0.48836523, 4374, 3379), (1377898982, 'pet_clair', 0.87775713, 4932, 3847)], 'temp/1755619648_3341132_1377898982_0efed77e67b3885f16796a96917cd495.jpg'] photo_id : 1377898981 output[photo_id] : [[(1377898981, '05102018_Papier_non_papier_presque_vide', 0.89494467, 4557, 3513), (1377898981, 'pet_clair', 0.349279, 4374, 3379), (1377898981, 'pet_clair', 0.76673645, 4932, 3847)], 'temp/1755619648_3341132_1377898981_7874f0ae311f6b52021032ec5802b1e1.jpg'] photo_id : 1377898967 output[photo_id] : [[(1377898967, '05102018_Papier_non_papier_presque_vide', 0.70812684, 4557, 3513), (1377898967, 'pehd_pp', 0.2572223, 4374, 3379), (1377898967, 'pet_clair', 0.6225187, 4932, 3847)], 'temp/1755619648_3341132_1377898967_f937b79000b92aa2b05e1f50fa8211f0.jpg'] photo_id : 1377898965 output[photo_id] : [[(1377898965, '05102018_Papier_non_papier_presque_vide', 0.82024866, 4557, 3513), (1377898965, 'pet_clair', 0.30920595, 4374, 3379), (1377898965, 'pet_clair', 0.720543, 4932, 3847)], 'temp/1755619648_3341132_1377898965_ffc36b631c4ab883eec3ebe88ecb2be2.jpg'] photo_id : 1377898937 output[photo_id] : [[(1377898937, '05102018_Papier_non_papier_presque_vide', 0.84205955, 4557, 3513), (1377898937, 'pet_clair', 0.47541067, 4374, 3379), (1377898937, 'pet_clair', 0.8224054, 4932, 3847)], 'temp/1755619648_3341132_1377898937_c4659144f07837f328b56bef7762d1ee.jpg'] photo_id : 1377898930 output[photo_id] : [[(1377898930, '05102018_Papier_non_papier_tres_dense', 0.40749133, 4557, 3513), (1377898930, 'ela', 0.9024939, 4374, 3379), (1377898930, 'ela', 0.8766072, 4932, 3847)], 'temp/1755619648_3341132_1377898930_8b1bd435f51ae7f7ddeaa9d0f7e4e245.jpg'] photo_id : 1377898927 output[photo_id] : [[(1377898927, '05102018_Papier_non_papier_tres_dense', 0.439739, 4557, 3513), (1377898927, 'ela', 0.8978697, 4374, 3379), (1377898927, 'ela', 0.84763056, 4932, 3847)], 'temp/1755619648_3341132_1377898927_bb4467eca7021b53dea4819689d72c79.jpg'] photo_id : 1377898925 output[photo_id] : [[(1377898925, '05102018_Papier_non_papier_tres_dense', 0.39500886, 4557, 3513), (1377898925, 'ela', 0.9182648, 4374, 3379), (1377898925, 'ela', 0.8701746, 4932, 3847)], 'temp/1755619648_3341132_1377898925_9ff13d1ae78ac3b69583ba2ec7882e6c.jpg'] photo_id : 1377898924 output[photo_id] : [[(1377898924, '05102018_Papier_non_papier_tres_dense', 0.48000276, 4557, 3513), (1377898924, 'ela', 0.92115223, 4374, 3379), (1377898924, 'ela', 0.9027094, 4932, 3847)], 'temp/1755619648_3341132_1377898924_1e0ba0150f6e7f1ee8b992d9346e0192.jpg'] photo_id : 1377898921 output[photo_id] : [[(1377898921, '05102018_Papier_non_papier_tres_dense', 0.44459113, 4557, 3513), (1377898921, 'ela', 0.90892094, 4374, 3379), (1377898921, 'ela', 0.87384033, 4932, 3847)], 'temp/1755619648_3341132_1377898921_f3a33b2aceb6b9055eef69e786f689e1.jpg'] photo_id : 1377898843 output[photo_id] : [[(1377898843, '05102018_Papier_non_papier_presque_vide', 0.9848171, 4557, 3513), (1377898843, 'ela', 0.4003424, 4374, 3379), (1377898843, 'pet_clair', 0.8050824, 4932, 3847)], 'temp/1755619648_3341132_1377898843_6a461157935625a48ddfb40e6e16e4e6.jpg'] photo_id : 1377898704 output[photo_id] : [[(1377898704, '05102018_Papier_non_papier_presque_vide', 0.9465399, 4557, 3513), (1377898704, 'pehd_pp', 0.6302374, 4374, 3379), (1377898704, 'pet_clair', 0.73186225, 4932, 3847)], 'temp/1755619648_3341132_1377898704_b1e76ca57be362dc02894422ef1f0b61.jpg'] photo_id : 1377898702 output[photo_id] : [[(1377898702, '05102018_Papier_non_papier_presque_vide', 0.95944893, 4557, 3513), (1377898702, 'tapis_vide', 0.7803699, 4374, 3379), (1377898702, 'tapis_vide', 0.9299347, 4932, 3847)], 'temp/1755619648_3341132_1377898702_7e18febb9894e212beab8e2952a603cf.jpg'] photo_id : 1377898700 output[photo_id] : [[(1377898700, '05102018_Papier_non_papier_presque_vide', 0.96315366, 4557, 3513), (1377898700, 'tapis_vide', 0.684342, 4374, 3379), (1377898700, 'tapis_vide', 0.89578485, 4932, 3847)], 'temp/1755619648_3341132_1377898700_67eaf601724ae77add6742c010f39565.jpg'] photo_id : 1377898696 output[photo_id] : [[(1377898696, '05102018_Papier_non_papier_presque_vide', 0.9696386, 4557, 3513), (1377898696, 'tapis_vide', 0.6865554, 4374, 3379), (1377898696, 'tapis_vide', 0.8696855, 4932, 3847)], 'temp/1755619648_3341132_1377898696_3ae95bbaedb50106c53bf55d70ab7028.jpg'] photo_id : 1377898679 output[photo_id] : [[(1377898679, '05102018_Papier_non_papier_presque_vide', 0.97818184, 4557, 3513), (1377898679, 'tapis_vide', 0.58922, 4374, 3379), (1377898679, 'tapis_vide', 0.8344425, 4932, 3847)], 'temp/1755619648_3341132_1377898679_403bf545b0b59fd38007d8002a2f61cb.jpg'] photo_id : 1377898673 output[photo_id] : [[(1377898673, '05102018_Papier_non_papier_presque_vide', 0.9684158, 4557, 3513), (1377898673, 'tapis_vide', 0.53707665, 4374, 3379), (1377898673, 'tapis_vide', 0.7974267, 4932, 3847)], 'temp/1755619648_3341132_1377898673_c52983bcde2ece86f95618f187f1aa6a.jpg'] photo_id : 1377898444 output[photo_id] : [[(1377898444, '05102018_Papier_non_papier_presque_vide', 0.93204176, 4557, 3513), (1377898444, 'tapis_vide', 0.3995481, 4374, 3379), (1377898444, 'tapis_vide', 0.75266474, 4932, 3847)], 'temp/1755619648_3341132_1377898444_ab7512832ce1d6ca4c6e1a9a5c7d5cce.jpg'] photo_id : 1377898435 output[photo_id] : [[(1377898435, '05102018_Papier_non_papier_presque_vide', 0.9248291, 4557, 3513), (1377898435, 'tapis_vide', 0.38938382, 4374, 3379), (1377898435, 'tapis_vide', 0.78715205, 4932, 3847)], 'temp/1755619648_3341132_1377898435_b8381971e02808d37b3c269ee3eb6ac9.jpg'] photo_id : 1377898424 output[photo_id] : [[(1377898424, '05102018_Papier_non_papier_presque_vide', 0.9657336, 4557, 3513), (1377898424, 'tapis_vide', 0.66563714, 4374, 3379), (1377898424, 'tapis_vide', 0.8828963, 4932, 3847)], 'temp/1755619648_3341132_1377898424_eba5349c6a70ab7bb4534c6705ba18af.jpg'] photo_id : 1377898396 output[photo_id] : [[(1377898396, '05102018_Papier_non_papier_presque_vide', 0.934722, 4557, 3513), (1377898396, 'tapis_vide', 0.50931346, 4374, 3379), (1377898396, 'tapis_vide', 0.86695486, 4932, 3847)], 'temp/1755619648_3341132_1377898396_f1a38e8de45129f530ec5c5399d9abed.jpg'] photo_id : 1377898394 output[photo_id] : [[(1377898394, '05102018_Papier_non_papier_presque_vide', 0.95640224, 4557, 3513), (1377898394, 'tapis_vide', 0.4754797, 4374, 3379), (1377898394, 'tapis_vide', 0.83483714, 4932, 3847)], 'temp/1755619648_3341132_1377898394_4b784f0ab8c8980370fb96e1d64866bc.jpg'] photo_id : 1377898392 output[photo_id] : [[(1377898392, '05102018_Papier_non_papier_presque_vide', 0.95560205, 4557, 3513), (1377898392, 'tapis_vide', 0.6155979, 4374, 3379), (1377898392, 'tapis_vide', 0.8270965, 4932, 3847)], 'temp/1755619648_3341132_1377898392_345fb4008378a67871617197fcde58b4.jpg'] photo_id : 1377898371 output[photo_id] : [[(1377898371, '05102018_Papier_non_papier_presque_vide', 0.8739953, 4557, 3513), (1377898371, 'pet_clair', 0.47912115, 4374, 3379), (1377898371, 'pet_clair', 0.7552792, 4932, 3847)], 'temp/1755619648_3341132_1377898371_bddbb49ccf77810e2980d577dbb109be.jpg'] photo_id : 1377898370 output[photo_id] : [[(1377898370, '05102018_Papier_non_papier_tres_dense', 0.4443235, 4557, 3513), (1377898370, 'ela', 0.90886766, 4374, 3379), (1377898370, 'ela', 0.8738382, 4932, 3847)], 'temp/1755619648_3341132_1377898370_dee8b462d7725c2c0b533d4fa7d5f248.jpg'] photo_id : 1377898369 output[photo_id] : [[(1377898369, '05102018_Papier_non_papier_presque_vide', 0.94415396, 4557, 3513), (1377898369, 'pet_clair', 0.4208137, 4374, 3379), (1377898369, 'pet_clair', 0.54116935, 4932, 3847)], 'temp/1755619648_3341132_1377898369_4ffd6d817126746b6bfe6e9bfab60c0c.jpg'] photo_id : 1377898367 output[photo_id] : [[(1377898367, '05102018_Papier_non_papier_presque_vide', 0.82615817, 4557, 3513), (1377898367, 'pet_clair', 0.50984895, 4374, 3379), (1377898367, 'pet_clair', 0.8856408, 4932, 3847)], 'temp/1755619648_3341132_1377898367_ca30f84c13f417ef61fa9815843554ff.jpg'] photo_id : 1377898365 output[photo_id] : [[(1377898365, '05102018_Papier_non_papier_presque_vide', 0.65804064, 4557, 3513), (1377898365, 'pet_clair', 0.36475247, 4374, 3379), (1377898365, 'pet_clair', 0.72669476, 4932, 3847)], 'temp/1755619648_3341132_1377898365_df158e00e1d6523924bd2cefbc434d9a.jpg'] photo_id : 1377898356 output[photo_id] : [[(1377898356, '05102018_Papier_non_papier_presque_vide', 0.7773482, 4557, 3513), (1377898356, 'ela', 0.5067248, 4374, 3379), (1377898356, 'pet_clair', 0.6422929, 4932, 3847)], 'temp/1755619648_3341132_1377898356_cabbc96b38bf71b7481613db6a3f62de.jpg'] photo_id : 1377898352 output[photo_id] : [[(1377898352, '05102018_Papier_non_papier_presque_vide', 0.98481476, 4557, 3513), (1377898352, 'ela', 0.40029573, 4374, 3379), (1377898352, 'pet_clair', 0.80503666, 4932, 3847)], 'temp/1755619648_3341132_1377898352_7fd24c2239a1e5c5b990212f995eeb16.jpg'] photo_id : 1377898340 output[photo_id] : [[(1377898340, '05102018_Papier_non_papier_tres_dense', 0.48008835, 4557, 3513), (1377898340, 'ela', 0.9211892, 4374, 3379), (1377898340, 'ela', 0.9027508, 4932, 3847)], 'temp/1755619648_3341132_1377898340_b7be4e6cd4fe7cdb2973b5f365a0f331.jpg'] photo_id : 1377898338 output[photo_id] : [[(1377898338, '05102018_Papier_non_papier_presque_vide', 0.925821, 4557, 3513), (1377898338, 'tapis_vide', 0.5961702, 4374, 3379), (1377898338, 'tapis_vide', 0.8193008, 4932, 3847)], 'temp/1755619648_3341132_1377898338_87a9812bd3a6158a8190f982d1be7dbb.jpg'] photo_id : 1377898336 output[photo_id] : [[(1377898336, '05102018_Papier_non_papier_tres_dense', 0.44443163, 4557, 3513), (1377898336, 'ela', 0.90889883, 4374, 3379), (1377898336, 'ela', 0.8737953, 4932, 3847)], 'temp/1755619648_3341132_1377898336_f6657b8770da2db092a04cfddb5d39ca.jpg'] photo_id : 1377898216 output[photo_id] : [[(1377898216, '05102018_Papier_non_papier_presque_vide', 0.9502314, 4557, 3513), (1377898216, 'tapis_vide', 0.56010264, 4374, 3379), (1377898216, 'tapis_vide', 0.84306717, 4932, 3847)], 'temp/1755619648_3341132_1377898216_de1e398523fda4f68d0f003820ebcaf1.jpg'] photo_id : 1377898207 output[photo_id] : [[(1377898207, '05102018_Papier_non_papier_presque_vide', 0.9502403, 4557, 3513), (1377898207, 'tapis_vide', 0.54810834, 4374, 3379), (1377898207, 'tapis_vide', 0.83312696, 4932, 3847)], 'temp/1755619648_3341132_1377898207_231f860e8a6240977c3ed072a38d3946.jpg'] photo_id : 1377898196 output[photo_id] : [[(1377898196, '05102018_Papier_non_papier_presque_vide', 0.9820373, 4557, 3513), (1377898196, 'tapis_vide', 0.56833816, 4374, 3379), (1377898196, 'tapis_vide', 0.77014834, 4932, 3847)], 'temp/1755619648_3341132_1377898196_48690b37f6726840d16a6d259e4b8581.jpg'] photo_id : 1377898187 output[photo_id] : [[(1377898187, '05102018_Papier_non_papier_presque_vide', 0.9684123, 4557, 3513), (1377898187, 'pet_clair', 0.29755884, 4374, 3379), (1377898187, 'aluminium', 0.28196964, 4932, 3847)], 'temp/1755619648_3341132_1377898187_2eb1e26ba21ee107e9b3c09475f826f5.jpg'] photo_id : 1377898184 output[photo_id] : [[(1377898184, '05102018_Papier_non_papier_presque_vide', 0.8645401, 4557, 3513), (1377898184, 'pet_clair', 0.6718036, 4374, 3379), (1377898184, 'pet_clair', 0.92185885, 4932, 3847)], 'temp/1755619648_3341132_1377898184_f6e923dc3e09802d2021de325fe50a13.jpg'] photo_id : 1377898180 output[photo_id] : [[(1377898180, '05102018_Papier_non_papier_presque_vide', 0.83103085, 4557, 3513), (1377898180, 'pet_clair', 0.6522148, 4374, 3379), (1377898180, 'pet_clair', 0.9152106, 4932, 3847)], 'temp/1755619648_3341132_1377898180_1c17a42231e539e77010655d2c335f2f.jpg'] photo_id : 1377898095 output[photo_id] : [[(1377898095, '05102018_Papier_non_papier_presque_vide', 0.9649246, 4557, 3513), (1377898095, 'tapis_vide', 0.63441414, 4374, 3379), (1377898095, 'tapis_vide', 0.86223763, 4932, 3847)], 'temp/1755619648_3341132_1377898095_db92d469915198327d1c296bd7937591.jpg'] photo_id : 1377898093 output[photo_id] : [[(1377898093, '05102018_Papier_non_papier_presque_vide', 0.9396071, 4557, 3513), (1377898093, 'jrm', 0.3087047, 4374, 3379), (1377898093, 'jrm', 0.79753304, 4932, 3847)], 'temp/1755619648_3341132_1377898093_c2f1e23f911721a331bd9d603880b549.jpg'] photo_id : 1377898092 output[photo_id] : [[(1377898092, '05102018_Papier_non_papier_presque_vide', 0.51480395, 4557, 3513), (1377898092, 'pcm', 0.71928877, 4374, 3379), (1377898092, 'pcm', 0.8480352, 4932, 3847)], 'temp/1755619648_3341132_1377898092_91ee3c3d203d0311a1e0466aa4f45b33.jpg'] photo_id : 1377898090 output[photo_id] : [[(1377898090, '05102018_Papier_non_papier_peu_dense', 0.5749549, 4557, 3513), (1377898090, 'jrm', 0.69239706, 4374, 3379), (1377898090, 'jrm', 0.76961404, 4932, 3847)], 'temp/1755619648_3341132_1377898090_ed84143f91d211978b4c1ab25c57a4f7.jpg'] photo_id : 1377898088 output[photo_id] : [[(1377898088, '05102018_Papier_non_papier_peu_dense', 0.5201519, 4557, 3513), (1377898088, 'pcm', 0.38180563, 4374, 3379), (1377898088, 'pcm', 0.44989872, 4932, 3847)], 'temp/1755619648_3341132_1377898088_97395fc76c9713a4d8de18f9923efc03.jpg'] photo_id : 1377898086 output[photo_id] : [[(1377898086, '05102018_Papier_non_papier_tres_dense', 0.334068, 4557, 3513), (1377898086, 'jrm', 0.5238405, 4374, 3379), (1377898086, 'jrm', 0.76653373, 4932, 3847)], 'temp/1755619648_3341132_1377898086_717d2579e065304f4b35b1679aa0b1ad.jpg'] photo_id : 1377898037 output[photo_id] : [[(1377898037, '05102018_Papier_non_papier_presque_vide', 0.6326006, 4557, 3513), (1377898037, 'jrm', 0.56370556, 4374, 3379), (1377898037, 'jrm', 0.70135367, 4932, 3847)], 'temp/1755619648_3341132_1377898037_924a71d91f80737d531cbc1d94762c7b.jpg'] photo_id : 1377898035 output[photo_id] : [[(1377898035, '05102018_Papier_non_papier_presque_vide', 0.49755654, 4557, 3513), (1377898035, 'jrm', 0.3075021, 4374, 3379), (1377898035, 'pcm', 0.63048285, 4932, 3847)], 'temp/1755619648_3341132_1377898035_ceacc354112a0f910b49246dff221b6d.jpg'] photo_id : 1377898033 output[photo_id] : [[(1377898033, '05102018_Papier_non_papier_presque_vide', 0.70282704, 4557, 3513), (1377898033, 'pcm', 0.71768826, 4374, 3379), (1377898033, 'pcm', 0.8591218, 4932, 3847)], 'temp/1755619648_3341132_1377898033_e5a72fbaa3d48cd63681ccd2f40e2ae0.jpg'] photo_id : 1377898031 output[photo_id] : [[(1377898031, '05102018_Papier_non_papier_presque_vide', 0.9216939, 4557, 3513), (1377898031, 'tapis_vide', 0.3985167, 4374, 3379), (1377898031, 'tapis_vide', 0.763957, 4932, 3847)], 'temp/1755619648_3341132_1377898031_9d86d775a5c28fb2ac011a66906f9f43.jpg'] photo_id : 1377898029 output[photo_id] : [[(1377898029, '05102018_Papier_non_papier_presque_vide', 0.9598965, 4557, 3513), (1377898029, 'tapis_vide', 0.57513434, 4374, 3379), (1377898029, 'tapis_vide', 0.83179855, 4932, 3847)], 'temp/1755619648_3341132_1377898029_1b3cf80f0caf8de77dc36ba4914b8814.jpg'] photo_id : 1377898026 output[photo_id] : [[(1377898026, '05102018_Papier_non_papier_presque_vide', 0.91750395, 4557, 3513), (1377898026, 'tapis_vide', 0.53094786, 4374, 3379), (1377898026, 'tapis_vide', 0.8212167, 4932, 3847)], 'temp/1755619648_3341132_1377898026_9b47fe326ca33b862840972a945fa108.jpg'] photo_id : 1377897631 output[photo_id] : [[(1377897631, '05102018_Papier_non_papier_presque_vide', 0.95299304, 4557, 3513), (1377897631, 'tapis_vide', 0.53267527, 4374, 3379), (1377897631, 'tapis_vide', 0.8202619, 4932, 3847)], 'temp/1755619648_3341132_1377897631_c1b9d3abd2d37f8ae667df71b25310ed.jpg'] photo_id : 1377897611 output[photo_id] : [[(1377897611, '05102018_Papier_non_papier_presque_vide', 0.9619965, 4557, 3513), (1377897611, 'tapis_vide', 0.59679383, 4374, 3379), (1377897611, 'tapis_vide', 0.8525178, 4932, 3847)], 'temp/1755619648_3341132_1377897611_cbb3356edd0fdb06d2132579def850d6.jpg'] photo_id : 1377897601 output[photo_id] : [[(1377897601, '05102018_Papier_non_papier_presque_vide', 0.9636872, 4557, 3513), (1377897601, 'tapis_vide', 0.5549939, 4374, 3379), (1377897601, 'tapis_vide', 0.8663544, 4932, 3847)], 'temp/1755619648_3341132_1377897601_a592602ca450bd264104e3f4278b2cdf.jpg'] photo_id : 1377897590 output[photo_id] : [[(1377897590, '05102018_Papier_non_papier_peu_dense', 0.48585883, 4557, 3513), (1377897590, 'film_pedb', 0.4671486, 4374, 3379), (1377897590, 'film_pedb', 0.73988837, 4932, 3847)], 'temp/1755619648_3341132_1377897590_1a06a88ea8463bc28478e4321322d584.jpg'] photo_id : 1377897580 output[photo_id] : [[(1377897580, '05102018_Papier_non_papier_presque_vide', 0.92872566, 4557, 3513), (1377897580, 'tapis_vide', 0.49385747, 4374, 3379), (1377897580, 'tapis_vide', 0.798672, 4932, 3847)], 'temp/1755619648_3341132_1377897580_ae3357ec3a336ab63e387a91c1d59512.jpg'] photo_id : 1377897579 output[photo_id] : [[(1377897579, '05102018_Papier_non_papier_presque_vide', 0.42148885, 4557, 3513), (1377897579, 'film_pedb', 0.4391037, 4374, 3379), (1377897579, 'film_pedb', 0.7477013, 4932, 3847)], 'temp/1755619648_3341132_1377897579_43734fe3d3c57bd709ae640c9e3aa835.jpg'] photo_id : 1377897568 output[photo_id] : [[(1377897568, '05102018_Papier_non_papier_presque_vide', 0.9016127, 4557, 3513), (1377897568, 'tapis_vide', 0.49720073, 4374, 3379), (1377897568, 'tapis_vide', 0.83273077, 4932, 3847)], 'temp/1755619648_3341132_1377897568_8f4451a0e5cf36f36338cec49b755288.jpg'] photo_id : 1377897536 output[photo_id] : [[(1377897536, '05102018_Papier_non_papier_presque_vide', 0.9064234, 4557, 3513), (1377897536, 'tapis_vide', 0.5543038, 4374, 3379), (1377897536, 'tapis_vide', 0.75285, 4932, 3847)], 'temp/1755619648_3341132_1377897536_5782f12f4d6195e869e8eee96da22ffd.jpg'] photo_id : 1377897497 output[photo_id] : [[(1377897497, '05102018_Papier_non_papier_tres_dense', 0.44440317, 4557, 3513), (1377897497, 'ela', 0.90894437, 4374, 3379), (1377897497, 'ela', 0.8739007, 4932, 3847)], 'temp/1755619648_3341132_1377897497_108966a673bd25542a7f60747596ea5d.jpg'] photo_id : 1377897466 output[photo_id] : [[(1377897466, '05102018_Papier_non_papier_presque_vide', 0.6330485, 4557, 3513), (1377897466, 'film_pedb', 0.69027114, 4374, 3379), (1377897466, 'film_pedb', 0.8501937, 4932, 3847)], 'temp/1755619648_3341132_1377897466_b2fb35c6bfe23609709cfdaa0cf8ff72.jpg'] photo_id : 1377897429 output[photo_id] : [[(1377897429, '05102018_Papier_non_papier_peu_dense', 0.5151873, 4557, 3513), (1377897429, 'film_pedb', 0.72540355, 4374, 3379), (1377897429, 'film_pedb', 0.85724604, 4932, 3847)], 'temp/1755619648_3341132_1377897429_4c8355eb355fa22d976267e1762cb65d.jpg'] photo_id : 1377897410 output[photo_id] : [[(1377897410, '05102018_Papier_non_papier_presque_vide', 0.5563378, 4557, 3513), (1377897410, 'film_pedb', 0.55164224, 4374, 3379), (1377897410, 'film_pedb', 0.85673356, 4932, 3847)], 'temp/1755619648_3341132_1377897410_0d86d837cae31cbdd34e69aa74c3e976.jpg'] photo_id : 1377897404 output[photo_id] : [[(1377897404, '05102018_Papier_non_papier_tres_dense', 0.40017155, 4557, 3513), (1377897404, 'film_pedb', 0.5668295, 4374, 3379), (1377897404, 'film_pedb', 0.6651492, 4932, 3847)], 'temp/1755619648_3341132_1377897404_499f66bbc26c32ce41ccb034fca61021.jpg'] photo_id : 1377897399 output[photo_id] : [[(1377897399, '05102018_Papier_non_papier_tres_dense', 0.40027118, 4557, 3513), (1377897399, 'film_pedb', 0.8273748, 4374, 3379), (1377897399, 'film_pedb', 0.88010025, 4932, 3847)], 'temp/1755619648_3341132_1377897399_744bf60e2304e51e47d7c9f6f7c89652.jpg'] photo_id : 1377897397 output[photo_id] : [[(1377897397, '05102018_Papier_non_papier_presque_vide', 0.9049083, 4557, 3513), (1377897397, 'film_pedb', 0.5362728, 4374, 3379), (1377897397, 'film_pedb', 0.79654014, 4932, 3847)], 'temp/1755619648_3341132_1377897397_2dfd586828a09b35df39c384c766181c.jpg'] photo_id : 1377897386 output[photo_id] : [[(1377897386, '05102018_Papier_non_papier_peu_dense', 0.29816967, 4557, 3513), (1377897386, 'film_pedb', 0.6321278, 4374, 3379), (1377897386, 'film_pedb', 0.86130685, 4932, 3847)], 'temp/1755619648_3341132_1377897386_4034b2aa7b1f97d0f4175cdf1179f50d.jpg'] photo_id : 1377897385 output[photo_id] : [[(1377897385, '05102018_Papier_non_papier_presque_vide', 0.92985266, 4557, 3513), (1377897385, 'tapis_vide', 0.6731401, 4374, 3379), (1377897385, 'tapis_vide', 0.88027275, 4932, 3847)], 'temp/1755619648_3341132_1377897385_767a0356020b448cdee5d6fc87686dde.jpg'] photo_id : 1377897381 output[photo_id] : [[(1377897381, '05102018_Papier_non_papier_tres_dense', 0.29846215, 4557, 3513), (1377897381, 'film_pedb', 0.6198391, 4374, 3379), (1377897381, 'film_pedb', 0.8567859, 4932, 3847)], 'temp/1755619648_3341132_1377897381_45f75cae3293a3cda241d16afc5eb74a.jpg'] photo_id : 1377897380 output[photo_id] : [[(1377897380, '05102018_Papier_non_papier_presque_vide', 0.9567496, 4557, 3513), (1377897380, 'tapis_vide', 0.72062576, 4374, 3379), (1377897380, 'tapis_vide', 0.8331412, 4932, 3847)], 'temp/1755619648_3341132_1377897380_bbcbd7999291de1be265af14d2ff9f1a.jpg'] photo_id : 1377897354 output[photo_id] : [[(1377897354, '05102018_Papier_non_papier_tres_dense', 0.44439006, 4557, 3513), (1377897354, 'ela', 0.9089413, 4374, 3379), (1377897354, 'ela', 0.8737698, 4932, 3847)], 'temp/1755619648_3341132_1377897354_bf06a1c7694f5e207aa9d677e16dcf68.jpg'] begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 285 time used for this insertion : 0.05370616912841797 begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 285 time used for this insertion : 0.023953676223754883 len list_finale : 285, len picture : 95 begin to insert list_values into mtr_datou_result : length of list_values in save_final : 285 time used for this insertion : 0.02614450454711914 saving photo_ids in datou_result photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port photo id not in port begin to insert list_values into mtr_datou_result : length of list_values in save_final : 10 time used for this insertion : 0.012578248977661133 save missing photos in datou_result : time spend for datou_step_exec : 0.01761484146118164 time spend to save output : 0.16837549209594727 total time spend for step 2 : 0.1859903335571289 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 95 set_done_treatment 61.08user 14.03system 2:43.67elapsed 45%CPU (0avgtext+0avgdata 2541492maxresident)k 5299568inputs+624936outputs (92682major+2326316minor)pagefaults 0swaps