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 : 1856966 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 : 866>100 please execute split_portfolio.py -i 24795299 -l 100 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 533, datou_cur_ids : ['3265298'] with mtr_portfolio_ids : ['24795299'] and first list_photo_ids : [] new path : /proc/1856966/ Inside batchDatouExec : verbose : 0 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! DataTypes for each output/input checked ! List Step Type Loaded in datou : tfhub_classification2, argmax list_input_json : {} origin We have 1 , WARNING: data may be incomplete, need to offset and complete ! BFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 100 ; length of list_pids : 100 ; length of list_args : 100 time to download the photos : 14.271034479141235 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 Thu Jul 10 18:46:44 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Beginning of datou_step TFHub with tf2 ! nombre de thcls : 3 we are using the classfication for multi_thcl [3513, 3379, 3847] begin to check gpu status inside check gpu memory 2025-07-10 18:46:47.512880: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-07-10 18:46:47.540795: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-07-10 18:46:47.541130: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-07-10 18:46:47.544811: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-07-10 18:46:47.547883: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-07-10 18:46:47.548230: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-07-10 18:46:47.552358: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-07-10 18:46:47.554037: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-07-10 18:46:47.561058: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-07-10 18:46:47.562381: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-07-10 18:46:47.562946: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-07-10 18:46:47.591421: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493035000 Hz 2025-07-10 18:46:47.593319: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7f14b0000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-07-10 18:46:47.593390: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-07-10 18:46:47.728072: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1d0cb780 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-07-10 18:46:47.728118: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-07-10 18:46:47.729141: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-07-10 18:46:47.729274: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-07-10 18:46:47.729295: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-07-10 18:46:47.729314: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-07-10 18:46:47.729331: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-07-10 18:46:47.729350: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-07-10 18:46:47.729366: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-07-10 18:46:47.729381: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-07-10 18:46:47.730323: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-07-10 18:46:47.730376: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-07-10 18:46:47.731057: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-07-10 18:46:47.731075: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-07-10 18:46:47.731086: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-07-10 18:46:47.732123: 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 : 5002 max_wait_temp : 1 max_wait : 5 1 Physical GPUs, 1 Logical GPUs tagging for thcl : 3513 To do loadFromThcl(), then load ParamDescType : thcl3513 thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] thcl {'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'} Update svm_hashtag_type_desc : 5767 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5767, 'Rungis_amount_dechets_fall_2018_v2_tf', 2048, 2048, 'Rungis_amount_dechets_fall_2018_v2_tf', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2023, 3, 16, 15, 52, 10), datetime.datetime(2023, 3, 16, 15, 52, 10)) model_name : Rungis_amount_dechets_fall_2018_v2_tf model_param file didn't exist model_name : Rungis_amount_dechets_fall_2018_v2_tf model_type : tf_classification2 list file need : ['Confusion_Matrix.png', 'Precision_Recall_05102018_Papier_non_papier_dense.jpg', 'Precision_Recall_05102018_Papier_non_papier_peu_dense.jpg', 'Precision_Recall_05102018_Papier_non_papier_presque_vide.jpg', 'Precision_Recall_05102018_Papier_non_papier_tres_dense.jpg', 'Precision_Recall_05102018_Papier_non_papier_tres_peu_dense.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00001', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file exist in s3 : ['Confusion_Matrix.png', 'Precision_Recall_05102018_Papier_non_papier_dense.jpg', 'Precision_Recall_05102018_Papier_non_papier_peu_dense.jpg', 'Precision_Recall_05102018_Papier_non_papier_presque_vide.jpg', 'Precision_Recall_05102018_Papier_non_papier_tres_dense.jpg', 'Precision_Recall_05102018_Papier_non_papier_tres_peu_dense.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00001', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file manque in s3 : [] local folder : /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/Confusion_Matrix.png size_local : 67810 size in s3 : 67810 create time local : 2023-10-30 16:21:37 create time in s3 : 2023-10-30 14:09:29 Confusion_Matrix.png already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/Precision_Recall_05102018_Papier_non_papier_dense.jpg size_local : 73949 size in s3 : 73949 create time local : 2023-10-30 16:21:38 create time in s3 : 2023-10-30 14:09:30 Precision_Recall_05102018_Papier_non_papier_dense.jpg already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/Precision_Recall_05102018_Papier_non_papier_peu_dense.jpg size_local : 85572 size in s3 : 85572 create time local : 2023-10-30 16:21:38 create time in s3 : 2023-10-30 14:09:39 Precision_Recall_05102018_Papier_non_papier_peu_dense.jpg already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/Precision_Recall_05102018_Papier_non_papier_presque_vide.jpg size_local : 72361 size in s3 : 72361 create time local : 2023-10-30 16:21:38 create time in s3 : 2023-10-30 14:09:37 Precision_Recall_05102018_Papier_non_papier_presque_vide.jpg already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/Precision_Recall_05102018_Papier_non_papier_tres_dense.jpg size_local : 83567 size in s3 : 83567 create time local : 2023-10-30 16:21:38 create time in s3 : 2023-10-30 14:09:48 Precision_Recall_05102018_Papier_non_papier_tres_dense.jpg already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/Precision_Recall_05102018_Papier_non_papier_tres_peu_dense.jpg size_local : 71611 size in s3 : 71611 create time local : 2023-10-30 16:21:38 create time in s3 : 2023-10-30 14:09:29 Precision_Recall_05102018_Papier_non_papier_tres_peu_dense.jpg already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/Result_Summary.txt size_local : 1058 size in s3 : 1058 create time local : 2023-10-30 16:21:38 create time in s3 : 2023-10-30 14:09:30 Result_Summary.txt already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/checkpoint size_local : 99 size in s3 : 99 create time local : 2023-10-30 16:21:38 create time in s3 : 2023-10-30 14:09:36 checkpoint already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/model_checkpoint.ckpt.data-00000-of-00001 size_local : 188538519 size in s3 : 188538519 create time local : 2023-10-30 16:21:41 create time in s3 : 2023-10-30 14:09:40 model_checkpoint.ckpt.data-00000-of-00001 already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/model_checkpoint.ckpt.data-00000-of-00002 size_local : 216572 size in s3 : 216572 create time local : 2023-10-30 16:21:41 create time in s3 : 2023-03-16 14:52:09 model_checkpoint.ckpt.data-00000-of-00002 already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/model_checkpoint.ckpt.data-00001-of-00002 size_local : 32279708 size in s3 : 32279708 create time local : 2023-10-30 16:21:42 create time in s3 : 2023-03-16 14:52:07 model_checkpoint.ckpt.data-00001-of-00002 already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/model_checkpoint.ckpt.index size_local : 28001 size in s3 : 28001 create time local : 2023-10-30 16:21:42 create time in s3 : 2023-10-30 14:09:30 model_checkpoint.ckpt.index already exist and didn't need to update /data/models_weight/Rungis_amount_dechets_fall_2018_v2_tf/model_weights.h5 size_local : 94501976 size in s3 : 94501976 create time local : 2023-10-30 16:21:44 create time in s3 : 2023-10-30 14:09:37 model_weights.h5 already exist and didn't need to update desc size : 2048 Model: "sequential" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= module (KerasLayer) (None, 2048) 23561152 _________________________________________________________________ Rungis_amount_dechets_fall_2 (None, 5) 10245 ================================================================= Total params: 23,571,397 Trainable params: 10,245 Non-trainable params: 23,561,152 _________________________________________________________________ Loading Weights... time used to create the model : 7.231874465942383 time used to load_weights : 0.22470831871032715 0it [00:00, ?it/s] 100it [00:00, 1403.56it/s]2025-07-10 18:46:57.432059: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-07-10 18:46:57.673735: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 temp/1752165989_1856966_1371514584_cd12db941150163e35a84d467f347f15.jpg temp/1752165989_1856966_1371514508_842723afaf891ba4fdbb68071239058b.jpg temp/1752165989_1856966_1371514208_6f315e3c24e7bb8465b08670376fdb32.jpg temp/1752165989_1856966_1371514207_31f5ef1155e6fba316dd77d426d167eb.jpg temp/1752165989_1856966_1371514202_ca76886e9bfab07cdf3ab9e0d21b5f99.jpg temp/1752165989_1856966_1371514199_e9fba21dd7cd4ff5214c213b675095b7.jpg 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temp/1752165989_1856966_1371512615_57e288e3b07d7695d5490b9224a9e1c1.jpg temp/1752165989_1856966_1371512613_9f010bec0614ed5ce9915f9f513d0046.jpg temp/1752165989_1856966_1371512611_53a48a3113809ad706ea3b7eb53429f7.jpg temp/1752165989_1856966_1371512547_21aaa11c785bbe42d8a4694c69f02e77.jpg temp/1752165989_1856966_1371512469_6d06f5dfe83b12ed4220cd6b8452f9f0.jpg temp/1752165989_1856966_1371512468_da13d9a50e57c0977c9684d7819ba0fe.jpg temp/1752165989_1856966_1371512462_a2280381de0288fb8be2ba99e1559d1f.jpg temp/1752165989_1856966_1371512385_362c039b7ff9effc9f427c735f97cd4e.jpg temp/1752165989_1856966_1371512383_ab882b19b82e3f67baf083406db01453.jpg temp/1752165989_1856966_1371512382_f297c51bed7fb2f4262f8d2f1c84577f.jpg temp/1752165989_1856966_1371512381_1ae5b23de8de88d1c0be2a95db925488.jpg temp/1752165989_1856966_1371512379_bd9971a1606a494c0427af5f033b13f7.jpg temp/1752165989_1856966_1371512375_9f8c2eb2803cd68111b3fff6bbadb238.jpg temp/1752165989_1856966_1371512374_d8aecffeca010dcac855b27ecd6f22f2.jpg temp/1752165989_1856966_1371512372_0ae03d45845fdcf31ff5e28ac1466171.jpg temp/1752165989_1856966_1371512349_0b5e197c511175a0d58b75f2d4cbbabf.jpg Found 100 images belonging to 1 classes. begin to do the prediction : time used to do the prediction : 8.429404020309448 (100,) (100, 5) (100, 2048) shape of features : (100, 2048) shape of new features : (1, 100, 2048) save descriptor for thcl : 3513 time to traite the descriptors : 0.563340425491333 storage_type for insertDescriptorsMulti : 3 To insert : 1371514584 To insert : 1371514508 To insert : 1371514208 To insert : 1371514207 To insert : 1371514202 To insert : 1371514199 To insert : 1371514135 To insert : 1371514117 To insert : 1371513902 To insert : 1371513889 To insert : 1371513843 To insert : 1371513836 To insert : 1371513835 To insert : 1371513801 To insert : 1371513760 To insert : 1371513754 To insert : 1371513751 To insert : 1371513632 To insert : 1371513630 To insert : 1371513616 To insert : 1371513565 To insert : 1371513563 To insert : 1371513538 To insert : 1371513499 To insert : 1371513498 To insert : 1371513497 To insert : 1371513490 To insert : 1371513486 To insert : 1371513437 To insert : 1371513435 To insert : 1371513434 To insert : 1371513422 To insert : 1371513420 To insert : 1371513314 To insert : 1371513312 To insert : 1371513310 To insert : 1371513262 To insert : 1371513257 To insert : 1371513255 To insert : 1371513254 To insert : 1371513196 To insert : 1371513195 To insert : 1371513193 To insert : 1371513192 To insert : 1371513187 To insert : 1371513183 To insert : 1371513117 To insert : 1371513114 To insert : 1371513113 To insert : 1371513112 To insert : 1371513111 To insert : 1371513109 To insert : 1371513108 To insert : 1371513106 To insert : 1371513021 To insert : 1371513020 To insert : 1371513018 To insert : 1371513017 To insert : 1371512976 To insert : 1371512975 To insert : 1371512973 To insert : 1371512971 To insert : 1371512966 To insert : 1371512908 To insert : 1371512867 To insert : 1371512866 To insert : 1371512865 To insert : 1371512864 To insert : 1371512863 To insert : 1371512862 To insert : 1371512859 To insert : 1371512858 To insert : 1371512857 To insert : 1371512831 To insert : 1371512811 To insert : 1371512810 To insert : 1371512809 To insert : 1371512805 To insert : 1371512804 To insert : 1371512797 To insert : 1371512795 To insert : 1371512722 To insert : 1371512721 To insert : 1371512624 To insert : 1371512615 To insert : 1371512613 To insert : 1371512611 To insert : 1371512547 To insert : 1371512469 To insert : 1371512468 To insert : 1371512462 To insert : 1371512385 To insert : 1371512383 To insert : 1371512382 To insert : 1371512381 To insert : 1371512379 To insert : 1371512375 To insert : 1371512374 To insert : 1371512372 To insert : 1371512349 time to insert the descriptors : 19.49433732032776 tagging for thcl : 3379 To do loadFromThcl(), then load ParamDescType : thcl3379 thcls : [{'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcl {'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'} Update svm_hashtag_type_desc : 5680 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5680, 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 1280, 1280, 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2022, 6, 4, 1, 31, 10), datetime.datetime(2022, 6, 4, 1, 31, 10)) model_name : learn_classif_flux_maj_generique_effnet_v2_s_02062022 model_param file didn't exist model_name : learn_classif_flux_maj_generique_effnet_v2_s_02062022 model_type : tf_classification2 list file need : ['Confusion_Matrix.png', 'Precision_Recall_aluminium.jpg', 'Precision_Recall_ela.jpg', 'Precision_Recall_film_pedb.jpg', 'Precision_Recall_flux_dev.jpg', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd_pp.jpg', 'Precision_Recall_pet_clair.jpg', 'Precision_Recall_refus.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file exist in s3 : ['Confusion_Matrix.png', 'Precision_Recall_aluminium.jpg', 'Precision_Recall_ela.jpg', 'Precision_Recall_film_pedb.jpg', 'Precision_Recall_flux_dev.jpg', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd_pp.jpg', 'Precision_Recall_pet_clair.jpg', 'Precision_Recall_refus.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00002', 'model_checkpoint.ckpt.data-00001-of-00002', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file manque in s3 : [] local folder : /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022 /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Confusion_Matrix.png size_local : 82527 size in s3 : 82527 create time local : 2022-06-06 13:01:24 create time in s3 : 2022-06-03 23:31:09 Confusion_Matrix.png already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_aluminium.jpg size_local : 67602 size in s3 : 67602 create time local : 2022-06-06 13:01:24 create time in s3 : 2022-06-03 23:23:41 Precision_Recall_aluminium.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_ela.jpg size_local : 67189 size in s3 : 67189 create time local : 2022-06-06 13:01:25 create time in s3 : 2022-06-03 23:26:13 Precision_Recall_ela.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_film_pedb.jpg size_local : 71280 size in s3 : 71280 create time local : 2022-06-06 13:01:25 create time in s3 : 2022-06-03 23:26:14 Precision_Recall_film_pedb.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_flux_dev.jpg size_local : 59936 size in s3 : 59936 create time local : 2022-06-06 13:01:25 create time in s3 : 2022-06-03 23:23:41 Precision_Recall_flux_dev.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_jrm.jpg size_local : 67657 size in s3 : 67657 create time local : 2022-06-06 13:01:25 create time in s3 : 2022-06-03 23:31:06 Precision_Recall_jrm.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_pcm.jpg size_local : 83042 size in s3 : 83042 create time local : 2022-06-06 13:01:25 create time in s3 : 2022-06-03 23:23:40 Precision_Recall_pcm.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_pcnc.jpg size_local : 69972 size in s3 : 69972 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:31:05 Precision_Recall_pcnc.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_pehd_pp.jpg size_local : 67313 size in s3 : 67313 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:23:45 Precision_Recall_pehd_pp.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_pet_clair.jpg size_local : 67320 size in s3 : 67320 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:31:04 Precision_Recall_pet_clair.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_refus.jpg size_local : 59936 size in s3 : 59936 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:31:08 Precision_Recall_refus.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Precision_Recall_tapis_vide.jpg size_local : 80244 size in s3 : 80244 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:23:45 Precision_Recall_tapis_vide.jpg already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/Result_Summary.txt size_local : 1018 size in s3 : 1018 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:31:08 Result_Summary.txt already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/checkpoint size_local : 99 size in s3 : 99 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:31:06 checkpoint already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/model_checkpoint.ckpt.data-00000-of-00002 size_local : 216640 size in s3 : 216640 create time local : 2022-06-06 13:01:27 create time in s3 : 2022-06-03 23:23:43 model_checkpoint.ckpt.data-00000-of-00002 already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/model_checkpoint.ckpt.data-00001-of-00002 size_local : 32341196 size in s3 : 32341196 create time local : 2022-06-06 13:01:28 create time in s3 : 2022-06-03 23:26:15 model_checkpoint.ckpt.data-00001-of-00002 already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/model_checkpoint.ckpt.index size_local : 43546 size in s3 : 43546 create time local : 2022-06-06 13:01:28 create time in s3 : 2022-06-03 23:26:13 model_checkpoint.ckpt.index already exist and didn't need to update /data/models_weight/learn_classif_flux_maj_generique_effnet_v2_s_02062022/model_weights.h5 size_local : 16531224 size in s3 : 16531224 create time local : 2022-06-06 13:01:29 create time in s3 : 2022-06-03 23:23:46 model_weights.h5 already exist and didn't need to update desc size : 1280 Model: "sequential" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= module (KerasLayer) (None, 1280) 4049564 _________________________________________________________________ learn_classif_flux_maj_gener (None, 11) 14091 ================================================================= Total params: 4,063,655 Trainable params: 14,091 Non-trainable params: 4,049,564 _________________________________________________________________ Loading Weights... time used to create the model : 6.841209650039673 time used to load_weights : 0.17255735397338867 0it [00:00, ?it/s] 100it [00:00, 1276.12it/s]temp/1752165989_1856966_1371514584_cd12db941150163e35a84d467f347f15.jpg temp/1752165989_1856966_1371514508_842723afaf891ba4fdbb68071239058b.jpg temp/1752165989_1856966_1371514208_6f315e3c24e7bb8465b08670376fdb32.jpg temp/1752165989_1856966_1371514207_31f5ef1155e6fba316dd77d426d167eb.jpg temp/1752165989_1856966_1371514202_ca76886e9bfab07cdf3ab9e0d21b5f99.jpg temp/1752165989_1856966_1371514199_e9fba21dd7cd4ff5214c213b675095b7.jpg temp/1752165989_1856966_1371514135_ef9ae65142188ac72b002d8a3753a638.jpg temp/1752165989_1856966_1371514117_a39e22ec6848eb0bdccea9c5042d56a5.jpg temp/1752165989_1856966_1371513902_5543d117931253fca33f9663a4513030.jpg temp/1752165989_1856966_1371513889_e9087a0d522281b971c4aa0c6d9a9884.jpg temp/1752165989_1856966_1371513843_f6472232c658b9d4feed0b26ac458a9b.jpg temp/1752165989_1856966_1371513836_9f8ba96b7addc14bdd18fdbe2a0c5aa8.jpg 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temp/1752165989_1856966_1371513109_8f2acb35516f1f9d26b97650fe168f5a.jpg temp/1752165989_1856966_1371513108_f6c580badd136c4ded0554f56ef072d2.jpg temp/1752165989_1856966_1371513106_f7ebe99a4ec3780f297d7f3c5caf80af.jpg temp/1752165989_1856966_1371513021_26654c5cbfbb5d1c8ae1e30cc643ee57.jpg temp/1752165989_1856966_1371513020_16a11f22cb960b944670785cbe326a64.jpg temp/1752165989_1856966_1371513018_31c7301a45ee573a1e487ae8c3bad922.jpg temp/1752165989_1856966_1371513017_d8b3ae0b48bc3f2f6c8f7b0e2aab7116.jpg temp/1752165989_1856966_1371512976_495b9ddcba541102077c713efa2d42b0.jpg temp/1752165989_1856966_1371512975_c6f4ff5c77f460d98f592890d4f35f56.jpg temp/1752165989_1856966_1371512973_92f5ab573e5f740941153b78337f4a86.jpg temp/1752165989_1856966_1371512971_dab20b785d930033c21384ea61364ee4.jpg temp/1752165989_1856966_1371512966_b891efe28cc6a3eda81cda46ea45ee3f.jpg temp/1752165989_1856966_1371512908_e257f42a089e17487121db18fb5f5687.jpg temp/1752165989_1856966_1371512867_50bb3d1b3dc2f36ad7dbf86092b46d25.jpg temp/1752165989_1856966_1371512866_41ce5dc1531797d1ee78cbbc64886491.jpg temp/1752165989_1856966_1371512865_f122624851d3f65155f118c8bfbc4616.jpg temp/1752165989_1856966_1371512864_2eb5cfdc72264bdfd2836611a274ca3c.jpg temp/1752165989_1856966_1371512863_21984b98f32891fb52672a67b0277cb3.jpg temp/1752165989_1856966_1371512862_cbe3ab91e012b0495b239e87ddf6f827.jpg temp/1752165989_1856966_1371512859_5150c329681a0c746b83c416069d822a.jpg temp/1752165989_1856966_1371512858_319b8064a4de4c5ec8e38e4e61a0617a.jpg temp/1752165989_1856966_1371512857_b080cabe99d79bdb65b6c59b98da1491.jpg temp/1752165989_1856966_1371512831_f18216c3aeefcd9d5401d699b2b0aa83.jpg temp/1752165989_1856966_1371512811_6e2d91551c73730e708a4dfcb69b6cc0.jpg temp/1752165989_1856966_1371512810_d24e223773995492458558b29fd1efd2.jpg temp/1752165989_1856966_1371512809_69d1249e05fca53d56ff2b2c81499dce.jpg temp/1752165989_1856966_1371512805_872dbd17bbf622dcf4cedafbf6a86f76.jpg temp/1752165989_1856966_1371512804_ff849ff27c32ccd926a7e1df734e3139.jpg temp/1752165989_1856966_1371512797_5652a8299ae0ba2d12398d0fad1d31ea.jpg temp/1752165989_1856966_1371512795_d6a0eec0e2c9119822f17e3f59204313.jpg temp/1752165989_1856966_1371512722_5c01922297ea0ef241e8009d2640c245.jpg temp/1752165989_1856966_1371512721_05dea1677def72f84b7f56c7882e891f.jpg temp/1752165989_1856966_1371512624_e41d40e5e30d49698d2a14ef0e6f7e81.jpg temp/1752165989_1856966_1371512615_57e288e3b07d7695d5490b9224a9e1c1.jpg temp/1752165989_1856966_1371512613_9f010bec0614ed5ce9915f9f513d0046.jpg temp/1752165989_1856966_1371512611_53a48a3113809ad706ea3b7eb53429f7.jpg temp/1752165989_1856966_1371512547_21aaa11c785bbe42d8a4694c69f02e77.jpg temp/1752165989_1856966_1371512469_6d06f5dfe83b12ed4220cd6b8452f9f0.jpg temp/1752165989_1856966_1371512468_da13d9a50e57c0977c9684d7819ba0fe.jpg temp/1752165989_1856966_1371512462_a2280381de0288fb8be2ba99e1559d1f.jpg temp/1752165989_1856966_1371512385_362c039b7ff9effc9f427c735f97cd4e.jpg temp/1752165989_1856966_1371512383_ab882b19b82e3f67baf083406db01453.jpg temp/1752165989_1856966_1371512382_f297c51bed7fb2f4262f8d2f1c84577f.jpg temp/1752165989_1856966_1371512381_1ae5b23de8de88d1c0be2a95db925488.jpg temp/1752165989_1856966_1371512379_bd9971a1606a494c0427af5f033b13f7.jpg temp/1752165989_1856966_1371512375_9f8c2eb2803cd68111b3fff6bbadb238.jpg temp/1752165989_1856966_1371512374_d8aecffeca010dcac855b27ecd6f22f2.jpg temp/1752165989_1856966_1371512372_0ae03d45845fdcf31ff5e28ac1466171.jpg temp/1752165989_1856966_1371512349_0b5e197c511175a0d58b75f2d4cbbabf.jpg Found 100 images belonging to 1 classes. begin to do the prediction : time used to do the prediction : 7.040898561477661 (100,) (100, 11) (100, 1280) shape of features : (100, 1280) shape of new features : (1, 100, 1280) save descriptor for thcl : 3379 time to traite the descriptors : 0.3696408271789551 storage_type for insertDescriptorsMulti : 3 To insert : 1371514584 To insert : 1371514508 To insert : 1371514208 To insert : 1371514207 To insert : 1371514202 To insert : 1371514199 To insert : 1371514135 To insert : 1371514117 To insert : 1371513902 To insert : 1371513889 To insert : 1371513843 To insert : 1371513836 To insert : 1371513835 To insert : 1371513801 To insert : 1371513760 To insert : 1371513754 To insert : 1371513751 To insert : 1371513632 To insert : 1371513630 To insert : 1371513616 To insert : 1371513565 To insert : 1371513563 To insert : 1371513538 To insert : 1371513499 To insert : 1371513498 To insert : 1371513497 To insert : 1371513490 To insert : 1371513486 To insert : 1371513437 To insert : 1371513435 To insert : 1371513434 To insert : 1371513422 To insert : 1371513420 To insert : 1371513314 To insert : 1371513312 To insert : 1371513310 To insert : 1371513262 To insert : 1371513257 To insert : 1371513255 To insert : 1371513254 To insert : 1371513196 To insert : 1371513195 To insert : 1371513193 To insert : 1371513192 To insert : 1371513187 To insert : 1371513183 To insert : 1371513117 To insert : 1371513114 To insert : 1371513113 To insert : 1371513112 To insert : 1371513111 To insert : 1371513109 To insert : 1371513108 To insert : 1371513106 To insert : 1371513021 To insert : 1371513020 To insert : 1371513018 To insert : 1371513017 To insert : 1371512976 To insert : 1371512975 To insert : 1371512973 To insert : 1371512971 To insert : 1371512966 To insert : 1371512908 To insert : 1371512867 To insert : 1371512866 To insert : 1371512865 To insert : 1371512864 To insert : 1371512863 To insert : 1371512862 To insert : 1371512859 To insert : 1371512858 To insert : 1371512857 To insert : 1371512831 To insert : 1371512811 To insert : 1371512810 To insert : 1371512809 To insert : 1371512805 To insert : 1371512804 To insert : 1371512797 To insert : 1371512795 To insert : 1371512722 To insert : 1371512721 To insert : 1371512624 To insert : 1371512615 To insert : 1371512613 To insert : 1371512611 To insert : 1371512547 To insert : 1371512469 To insert : 1371512468 To insert : 1371512462 To insert : 1371512385 To insert : 1371512383 To insert : 1371512382 To insert : 1371512381 To insert : 1371512379 To insert : 1371512375 To insert : 1371512374 To insert : 1371512372 To insert : 1371512349 time to insert the descriptors : 20.2123064994812 tagging for thcl : 3847 To do loadFromThcl(), then load ParamDescType : thcl3847 thcls : [{'id': 3847, 'mtr_user_id': 31, 'name': 'learn_MM_generique_050224', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '13096157,13096155,13096163,13096159,13301956,13095886,13096162,13096160,13358264,13096158,5515868,13276803', 'photo_hashtag_type': 4932, 'photo_desc_type': 6032, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcl {'id': 3847, 'mtr_user_id': 31, 'name': 'learn_MM_generique_050224', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '13096157,13096155,13096163,13096159,13301956,13095886,13096162,13096160,13358264,13096158,5515868,13276803', 'photo_hashtag_type': 4932, 'photo_desc_type': 6032, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'} Update svm_hashtag_type_desc : 6032 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (6032, 'learn_MM_generique_050224', 1280, 1280, 'learn_MM_generique_050224', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 3, datetime.datetime(2024, 2, 5, 21, 42, 4), datetime.datetime(2024, 2, 5, 21, 42, 4)) model_name : learn_MM_generique_050224 model_param file didn't exist model_name : learn_MM_generique_050224 model_type : tf_classification2 list file need : ['Confusion_Matrix.png', 'Precision_Recall_aluminium.jpg', 'Precision_Recall_ela.jpg', 'Precision_Recall_emr.jpg', 'Precision_Recall_film_pedb.jpg', 'Precision_Recall_flux_dev.jpg', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd_pp.jpg', 'Precision_Recall_pet_clair.jpg', 'Precision_Recall_refus.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00001', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file exist in s3 : ['Confusion_Matrix.png', 'Precision_Recall_aluminium.jpg', 'Precision_Recall_ela.jpg', 'Precision_Recall_emr.jpg', 'Precision_Recall_film_pedb.jpg', 'Precision_Recall_flux_dev.jpg', 'Precision_Recall_jrm.jpg', 'Precision_Recall_pcm.jpg', 'Precision_Recall_pcnc.jpg', 'Precision_Recall_pehd_pp.jpg', 'Precision_Recall_pet_clair.jpg', 'Precision_Recall_refus.jpg', 'Precision_Recall_tapis_vide.jpg', 'Result_Summary.txt', 'checkpoint', 'model_checkpoint.ckpt.data-00000-of-00001', 'model_checkpoint.ckpt.index', 'model_weights.h5'] file manque in s3 : [] local folder : /data/models_weight/learn_MM_generique_050224 /data/models_weight/learn_MM_generique_050224/Confusion_Matrix.png size_local : 88145 size in s3 : 88145 create time local : 2024-04-08 09:17:48 create time in s3 : 2024-02-05 20:41:54 Confusion_Matrix.png already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_aluminium.jpg size_local : 67983 size in s3 : 67983 create time local : 2024-04-08 09:17:48 create time in s3 : 2024-02-05 20:42:02 Precision_Recall_aluminium.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_ela.jpg size_local : 68484 size in s3 : 68484 create time local : 2024-04-08 09:17:48 create time in s3 : 2024-02-05 20:42:04 Precision_Recall_ela.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_emr.jpg size_local : 77930 size in s3 : 77930 create time local : 2024-04-08 09:17:48 create time in s3 : 2024-02-05 20:41:55 Precision_Recall_emr.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_film_pedb.jpg size_local : 66701 size in s3 : 66701 create time local : 2024-04-08 09:17:48 create time in s3 : 2024-02-05 20:41:55 Precision_Recall_film_pedb.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_flux_dev.jpg size_local : 59936 size in s3 : 59936 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:42:04 Precision_Recall_flux_dev.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_jrm.jpg size_local : 72890 size in s3 : 72890 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:42:04 Precision_Recall_jrm.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_pcm.jpg size_local : 93916 size in s3 : 93916 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:42:02 Precision_Recall_pcm.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_pcnc.jpg size_local : 74701 size in s3 : 74701 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:42:04 Precision_Recall_pcnc.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_pehd_pp.jpg size_local : 68765 size in s3 : 68765 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:42:03 Precision_Recall_pehd_pp.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_pet_clair.jpg size_local : 69649 size in s3 : 69649 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:42:03 Precision_Recall_pet_clair.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_refus.jpg size_local : 59936 size in s3 : 59936 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:41:59 Precision_Recall_refus.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Precision_Recall_tapis_vide.jpg size_local : 71529 size in s3 : 71529 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:41:54 Precision_Recall_tapis_vide.jpg already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/Result_Summary.txt size_local : 1076 size in s3 : 1076 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:41:55 Result_Summary.txt already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/checkpoint size_local : 99 size in s3 : 99 create time local : 2024-04-08 09:17:49 create time in s3 : 2024-02-05 20:42:00 checkpoint already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/model_checkpoint.ckpt.data-00000-of-00001 size_local : 32591049 size in s3 : 32591049 create time local : 2024-04-08 09:17:50 create time in s3 : 2024-02-05 20:42:02 model_checkpoint.ckpt.data-00000-of-00001 already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/model_checkpoint.ckpt.index size_local : 42495 size in s3 : 42495 create time local : 2024-04-08 09:17:50 create time in s3 : 2024-02-05 20:41:55 model_checkpoint.ckpt.index already exist and didn't need to update /data/models_weight/learn_MM_generique_050224/model_weights.h5 size_local : 16536200 size in s3 : 16536200 create time local : 2024-04-08 09:17:50 create time in s3 : 2024-02-05 20:42:00 model_weights.h5 already exist and didn't need to update desc size : 1280 Model: "sequential" _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= module (KerasLayer) (None, 1280) 4049564 _________________________________________________________________ learn_MM_generique_050224den (None, 12) 15372 ================================================================= Total params: 4,064,936 Trainable params: 15,372 Non-trainable params: 4,049,564 _________________________________________________________________ Loading Weights... time used to create the model : 7.004197835922241 time used to load_weights : 0.14821553230285645 0it [00:00, ?it/s] 100it [00:00, 1335.82it/s]temp/1752165989_1856966_1371514584_cd12db941150163e35a84d467f347f15.jpg temp/1752165989_1856966_1371514508_842723afaf891ba4fdbb68071239058b.jpg temp/1752165989_1856966_1371514208_6f315e3c24e7bb8465b08670376fdb32.jpg temp/1752165989_1856966_1371514207_31f5ef1155e6fba316dd77d426d167eb.jpg temp/1752165989_1856966_1371514202_ca76886e9bfab07cdf3ab9e0d21b5f99.jpg temp/1752165989_1856966_1371514199_e9fba21dd7cd4ff5214c213b675095b7.jpg temp/1752165989_1856966_1371514135_ef9ae65142188ac72b002d8a3753a638.jpg temp/1752165989_1856966_1371514117_a39e22ec6848eb0bdccea9c5042d56a5.jpg temp/1752165989_1856966_1371513902_5543d117931253fca33f9663a4513030.jpg temp/1752165989_1856966_1371513889_e9087a0d522281b971c4aa0c6d9a9884.jpg temp/1752165989_1856966_1371513843_f6472232c658b9d4feed0b26ac458a9b.jpg temp/1752165989_1856966_1371513836_9f8ba96b7addc14bdd18fdbe2a0c5aa8.jpg temp/1752165989_1856966_1371513835_d327c9ae0fa24fc9209d3decfe7e3251.jpg temp/1752165989_1856966_1371513801_049c1a1f96bf9f6b0bf3e36b82d1ef29.jpg temp/1752165989_1856966_1371513760_9d06fdef23ba4f91e5f6462488b2640b.jpg temp/1752165989_1856966_1371513754_ea95658f43f1119177ca410927c82a2c.jpg temp/1752165989_1856966_1371513751_9a20f4b5098f09c48cfdee7f8a1b3e0b.jpg temp/1752165989_1856966_1371513632_9f139d4d45abe9ec6543142aafa34249.jpg temp/1752165989_1856966_1371513630_7cec389d6e883185bae47750892c9cad.jpg temp/1752165989_1856966_1371513616_4134991b03bfce2aaa7195fdf86afd89.jpg temp/1752165989_1856966_1371513565_de9cd7306c55d5ee6578b7508c855215.jpg temp/1752165989_1856966_1371513563_99dae87cd7643345c7ff8a10eef72b90.jpg temp/1752165989_1856966_1371513538_1ca154d72ee17ebc394f7444ebea06b8.jpg temp/1752165989_1856966_1371513499_0248bba619cb978a8936b23158152c37.jpg temp/1752165989_1856966_1371513498_0cea3428c70403d505e27c5d8f9e359c.jpg temp/1752165989_1856966_1371513497_aa3422815e5743bdaccc7182d2b80f4d.jpg temp/1752165989_1856966_1371513490_38fdd236c8ce3c004ac779d0b4f07baf.jpg temp/1752165989_1856966_1371513486_3806ebb9d7392d4f4acc758d989242c7.jpg temp/1752165989_1856966_1371513437_b8cf77eaf11de742837b19a01043fae6.jpg temp/1752165989_1856966_1371513435_38b1f26d044f9211bdf60acc826e553a.jpg temp/1752165989_1856966_1371513434_64f2a89dda81d2697f4340eb960b7391.jpg temp/1752165989_1856966_1371513422_00c26217cb62fedc368cf7a586db876a.jpg temp/1752165989_1856966_1371513420_efbd3aa5619fdb1a32a22afae3f6ae86.jpg temp/1752165989_1856966_1371513314_fc63e6edbc070b048e7b78f38ce47541.jpg temp/1752165989_1856966_1371513312_754c361709704ea5db90818a18fd0bfc.jpg temp/1752165989_1856966_1371513310_3e4089ea0053f6ebc9350fffbe43b909.jpg temp/1752165989_1856966_1371513262_b24d6e9392bb2389451885f9cb25cc49.jpg temp/1752165989_1856966_1371513257_363e677a60152b0bcd6b915288e44baf.jpg temp/1752165989_1856966_1371513255_dfeb8cfb411c822c87bbdd1dba5ed508.jpg temp/1752165989_1856966_1371513254_7f551b3c5066bf7b4d636c10cb2a6e20.jpg temp/1752165989_1856966_1371513196_40ca2af64e0a2d2c7dd0c9a54327e926.jpg temp/1752165989_1856966_1371513195_216573154beefe0357f324b068a9612d.jpg temp/1752165989_1856966_1371513193_3a92f5ff124f15bf4cc2c1550d3c62d3.jpg temp/1752165989_1856966_1371513192_e30413e5d7c6366c388be46671e05fb3.jpg temp/1752165989_1856966_1371513187_18c234e50ad72b680c32539c0e177555.jpg temp/1752165989_1856966_1371513183_863e8a47750e71e6bfb44b9c9e5d7812.jpg temp/1752165989_1856966_1371513117_6114c9bf29b5310e1b56db4491d0918d.jpg temp/1752165989_1856966_1371513114_6579b563d27e40e7a3e16172f97bec53.jpg temp/1752165989_1856966_1371513113_3c4ed583665cc768774cb4e13e7e23e9.jpg temp/1752165989_1856966_1371513112_306b3d826178327087d7e69914f01631.jpg temp/1752165989_1856966_1371513111_216ad4294e11a42a84e704d076c77458.jpg temp/1752165989_1856966_1371513109_8f2acb35516f1f9d26b97650fe168f5a.jpg temp/1752165989_1856966_1371513108_f6c580badd136c4ded0554f56ef072d2.jpg temp/1752165989_1856966_1371513106_f7ebe99a4ec3780f297d7f3c5caf80af.jpg temp/1752165989_1856966_1371513021_26654c5cbfbb5d1c8ae1e30cc643ee57.jpg temp/1752165989_1856966_1371513020_16a11f22cb960b944670785cbe326a64.jpg temp/1752165989_1856966_1371513018_31c7301a45ee573a1e487ae8c3bad922.jpg temp/1752165989_1856966_1371513017_d8b3ae0b48bc3f2f6c8f7b0e2aab7116.jpg temp/1752165989_1856966_1371512976_495b9ddcba541102077c713efa2d42b0.jpg temp/1752165989_1856966_1371512975_c6f4ff5c77f460d98f592890d4f35f56.jpg temp/1752165989_1856966_1371512973_92f5ab573e5f740941153b78337f4a86.jpg temp/1752165989_1856966_1371512971_dab20b785d930033c21384ea61364ee4.jpg temp/1752165989_1856966_1371512966_b891efe28cc6a3eda81cda46ea45ee3f.jpg temp/1752165989_1856966_1371512908_e257f42a089e17487121db18fb5f5687.jpg temp/1752165989_1856966_1371512867_50bb3d1b3dc2f36ad7dbf86092b46d25.jpg temp/1752165989_1856966_1371512866_41ce5dc1531797d1ee78cbbc64886491.jpg temp/1752165989_1856966_1371512865_f122624851d3f65155f118c8bfbc4616.jpg temp/1752165989_1856966_1371512864_2eb5cfdc72264bdfd2836611a274ca3c.jpg temp/1752165989_1856966_1371512863_21984b98f32891fb52672a67b0277cb3.jpg temp/1752165989_1856966_1371512862_cbe3ab91e012b0495b239e87ddf6f827.jpg temp/1752165989_1856966_1371512859_5150c329681a0c746b83c416069d822a.jpg temp/1752165989_1856966_1371512858_319b8064a4de4c5ec8e38e4e61a0617a.jpg temp/1752165989_1856966_1371512857_b080cabe99d79bdb65b6c59b98da1491.jpg temp/1752165989_1856966_1371512831_f18216c3aeefcd9d5401d699b2b0aa83.jpg temp/1752165989_1856966_1371512811_6e2d91551c73730e708a4dfcb69b6cc0.jpg temp/1752165989_1856966_1371512810_d24e223773995492458558b29fd1efd2.jpg temp/1752165989_1856966_1371512809_69d1249e05fca53d56ff2b2c81499dce.jpg temp/1752165989_1856966_1371512805_872dbd17bbf622dcf4cedafbf6a86f76.jpg temp/1752165989_1856966_1371512804_ff849ff27c32ccd926a7e1df734e3139.jpg temp/1752165989_1856966_1371512797_5652a8299ae0ba2d12398d0fad1d31ea.jpg temp/1752165989_1856966_1371512795_d6a0eec0e2c9119822f17e3f59204313.jpg temp/1752165989_1856966_1371512722_5c01922297ea0ef241e8009d2640c245.jpg temp/1752165989_1856966_1371512721_05dea1677def72f84b7f56c7882e891f.jpg temp/1752165989_1856966_1371512624_e41d40e5e30d49698d2a14ef0e6f7e81.jpg temp/1752165989_1856966_1371512615_57e288e3b07d7695d5490b9224a9e1c1.jpg temp/1752165989_1856966_1371512613_9f010bec0614ed5ce9915f9f513d0046.jpg temp/1752165989_1856966_1371512611_53a48a3113809ad706ea3b7eb53429f7.jpg temp/1752165989_1856966_1371512547_21aaa11c785bbe42d8a4694c69f02e77.jpg temp/1752165989_1856966_1371512469_6d06f5dfe83b12ed4220cd6b8452f9f0.jpg temp/1752165989_1856966_1371512468_da13d9a50e57c0977c9684d7819ba0fe.jpg temp/1752165989_1856966_1371512462_a2280381de0288fb8be2ba99e1559d1f.jpg temp/1752165989_1856966_1371512385_362c039b7ff9effc9f427c735f97cd4e.jpg temp/1752165989_1856966_1371512383_ab882b19b82e3f67baf083406db01453.jpg temp/1752165989_1856966_1371512382_f297c51bed7fb2f4262f8d2f1c84577f.jpg temp/1752165989_1856966_1371512381_1ae5b23de8de88d1c0be2a95db925488.jpg temp/1752165989_1856966_1371512379_bd9971a1606a494c0427af5f033b13f7.jpg temp/1752165989_1856966_1371512375_9f8c2eb2803cd68111b3fff6bbadb238.jpg temp/1752165989_1856966_1371512374_d8aecffeca010dcac855b27ecd6f22f2.jpg temp/1752165989_1856966_1371512372_0ae03d45845fdcf31ff5e28ac1466171.jpg temp/1752165989_1856966_1371512349_0b5e197c511175a0d58b75f2d4cbbabf.jpg Found 100 images belonging to 1 classes. begin to do the prediction : time used to do the prediction : 6.7395665645599365 (100,) (100, 12) (100, 1280) shape of features : (100, 1280) shape of new features : (1, 100, 1280) save descriptor for thcl : 3847 time to traite the descriptors : 0.38158679008483887 storage_type for insertDescriptorsMulti : 3 To insert : 1371514584 To insert : 1371514508 To insert : 1371514208 To insert : 1371514207 To insert : 1371514202 To insert : 1371514199 To insert : 1371514135 To insert : 1371514117 To insert : 1371513902 To insert : 1371513889 To insert : 1371513843 To insert : 1371513836 To insert : 1371513835 To insert : 1371513801 To insert : 1371513760 To insert : 1371513754 To insert : 1371513751 To insert : 1371513632 To insert : 1371513630 To insert : 1371513616 To insert : 1371513565 To insert : 1371513563 To insert : 1371513538 To insert : 1371513499 To insert : 1371513498 To insert : 1371513497 To insert : 1371513490 To insert : 1371513486 To insert : 1371513437 To insert : 1371513435 To insert : 1371513434 To insert : 1371513422 To insert : 1371513420 To insert : 1371513314 To insert : 1371513312 To insert : 1371513310 To insert : 1371513262 To insert : 1371513257 To insert : 1371513255 To insert : 1371513254 To insert : 1371513196 To insert : 1371513195 To insert : 1371513193 To insert : 1371513192 To insert : 1371513187 To insert : 1371513183 To insert : 1371513117 To insert : 1371513114 To insert : 1371513113 To insert : 1371513112 To insert : 1371513111 To insert : 1371513109 To insert : 1371513108 To insert : 1371513106 To insert : 1371513021 To insert : 1371513020 To insert : 1371513018 To insert : 1371513017 To insert : 1371512976 To insert : 1371512975 To insert : 1371512973 To insert : 1371512971 To insert : 1371512966 To insert : 1371512908 To insert : 1371512867 To insert : 1371512866 To insert : 1371512865 To insert : 1371512864 To insert : 1371512863 To insert : 1371512862 To insert : 1371512859 To insert : 1371512858 To insert : 1371512857 To insert : 1371512831 To insert : 1371512811 To insert : 1371512810 To insert : 1371512809 To insert : 1371512805 To insert : 1371512804 To insert : 1371512797 To insert : 1371512795 To insert : 1371512722 To insert : 1371512721 To insert : 1371512624 To insert : 1371512615 To insert : 1371512613 To insert : 1371512611 To insert : 1371512547 To insert : 1371512469 To insert : 1371512468 To insert : 1371512462 To insert : 1371512385 To insert : 1371512383 To insert : 1371512382 To insert : 1371512381 To insert : 1371512379 To insert : 1371512375 To insert : 1371512374 To insert : 1371512372 To insert : 1371512349 time to insert the descriptors : 20.444041967391968 Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : tfhub_classification2 we use saveGeneral [1371514584, 1371514508, 1371514208, 1371514207, 1371514202, 1371514199, 1371514135, 1371514117, 1371513902, 1371513889, 1371513843, 1371513836, 1371513835, 1371513801, 1371513760, 1371513754, 1371513751, 1371513632, 1371513630, 1371513616, 1371513565, 1371513563, 1371513538, 1371513499, 1371513498, 1371513497, 1371513490, 1371513486, 1371513437, 1371513435, 1371513434, 1371513422, 1371513420, 1371513314, 1371513312, 1371513310, 1371513262, 1371513257, 1371513255, 1371513254, 1371513196, 1371513195, 1371513193, 1371513192, 1371513187, 1371513183, 1371513117, 1371513114, 1371513113, 1371513112, 1371513111, 1371513109, 1371513108, 1371513106, 1371513021, 1371513020, 1371513018, 1371513017, 1371512976, 1371512975, 1371512973, 1371512971, 1371512966, 1371512908, 1371512867, 1371512866, 1371512865, 1371512864, 1371512863, 1371512862, 1371512859, 1371512858, 1371512857, 1371512831, 1371512811, 1371512810, 1371512809, 1371512805, 1371512804, 1371512797, 1371512795, 1371512722, 1371512721, 1371512624, 1371512615, 1371512613, 1371512611, 1371512547, 1371512469, 1371512468, 1371512462, 1371512385, 1371512383, 1371512382, 1371512381, 1371512379, 1371512375, 1371512374, 1371512372, 1371512349] Looping around the photos to save general results len do output : 100 /1371514584Didn't retrieve data . /1371514508Didn't retrieve data . /1371514208Didn't retrieve data . /1371514207Didn't retrieve data . /1371514202Didn't retrieve data . /1371514199Didn't retrieve data . /1371514135Didn't retrieve data . /1371514117Didn't retrieve data . /1371513902Didn't retrieve data . /1371513889Didn't retrieve data . /1371513843Didn't retrieve data . /1371513836Didn't retrieve data . /1371513835Didn't retrieve data . /1371513801Didn't retrieve data . /1371513760Didn't retrieve data . /1371513754Didn't retrieve data . /1371513751Didn't retrieve data . /1371513632Didn't retrieve data . /1371513630Didn't retrieve data . /1371513616Didn't retrieve data . /1371513565Didn't retrieve data . /1371513563Didn't retrieve data . /1371513538Didn't retrieve data . /1371513499Didn't retrieve data . /1371513498Didn't retrieve data . /1371513497Didn't retrieve data . /1371513490Didn't retrieve data . /1371513486Didn't retrieve data . /1371513437Didn't retrieve data . /1371513435Didn't retrieve data . /1371513434Didn't retrieve data . /1371513422Didn't retrieve data . /1371513420Didn't retrieve data . /1371513314Didn't retrieve data . /1371513312Didn't retrieve data . /1371513310Didn't retrieve data . /1371513262Didn't retrieve data . /1371513257Didn't retrieve data . /1371513255Didn't retrieve data . /1371513254Didn't retrieve data . /1371513196Didn't retrieve data . /1371513195Didn't retrieve data . /1371513193Didn't retrieve data . /1371513192Didn't retrieve data . /1371513187Didn't retrieve data . /1371513183Didn't retrieve data . /1371513117Didn't retrieve data . /1371513114Didn't retrieve data . /1371513113Didn't retrieve data . /1371513112Didn't retrieve data . /1371513111Didn't retrieve data . /1371513109Didn't retrieve data . /1371513108Didn't retrieve data . /1371513106Didn't retrieve data . /1371513021Didn't retrieve data . /1371513020Didn't retrieve data . /1371513018Didn't retrieve data . /1371513017Didn't retrieve data . /1371512976Didn't retrieve data . /1371512975Didn't retrieve data . /1371512973Didn't retrieve data . /1371512971Didn't retrieve data . /1371512966Didn't retrieve data . /1371512908Didn't retrieve data . /1371512867Didn't retrieve data . /1371512866Didn't retrieve data . /1371512865Didn't retrieve data . /1371512864Didn't retrieve data . /1371512863Didn't retrieve data . /1371512862Didn't retrieve data . /1371512859Didn't retrieve data . /1371512858Didn't retrieve data . /1371512857Didn't retrieve data . /1371512831Didn't retrieve data . /1371512811Didn't retrieve data . /1371512810Didn't retrieve data . /1371512809Didn't retrieve data . /1371512805Didn't retrieve data . /1371512804Didn't retrieve data . /1371512797Didn't retrieve data . /1371512795Didn't retrieve data . /1371512722Didn't retrieve data . /1371512721Didn't retrieve data . /1371512624Didn't retrieve data . /1371512615Didn't retrieve data . /1371512613Didn't retrieve data . /1371512611Didn't retrieve data . /1371512547Didn't retrieve data . /1371512469Didn't retrieve data . /1371512468Didn't retrieve data . /1371512462Didn't retrieve data . /1371512385Didn't retrieve data . /1371512383Didn't retrieve data . /1371512382Didn't retrieve data . /1371512381Didn't retrieve data . /1371512379Didn't retrieve data . /1371512375Didn't retrieve data . /1371512374Didn't retrieve data . /1371512372Didn't retrieve data . /1371512349Didn'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, '3265298') ('533', '24795299', '1371514584', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371514508', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371514208', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371514207', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371514202', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371514199', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371514135', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371514117', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371513902', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371513889', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371513843', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371513836', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371513835', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371513801', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371513760', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371513754', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371513751', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371513632', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371513630', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371513616', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') 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None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512857', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512831', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512811', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512810', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512809', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512805', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512804', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512797', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512795', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512722', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512721', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512624', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512615', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512613', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512611', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512547', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512469', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512468', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512462', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512385', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512383', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', '24795299', '1371512382', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', None, '1371512381', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', None, '1371512379', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', None, '1371512375', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', None, '1371512374', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', None, '1371512372', None, None, None, None, None, '3265298') ('533', None, None, None, None, None, None, None, '3265298') ('533', None, '1371512349', None, None, None, None, None, '3265298') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 200 time used for this insertion : 0.03268074989318848 save_final save missing photos in datou_result : time spend for datou_step_exec : 115.34596014022827 time spend to save output : 0.03537750244140625 total time spend for step 1 : 115.38133764266968 step2:argmax Thu Jul 10 18:48:39 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 : 1371514584 output[photo_id] : [[(1371514584, '05102018_Papier_non_papier_presque_vide', 0.45670235, 4557, 3513), (1371514584, 'pcnc', 0.606721, 4374, 3379), (1371514584, 'pcnc', 0.75457436, 4932, 3847)], 'temp/1752165989_1856966_1371514584_cd12db941150163e35a84d467f347f15.jpg'] photo_id : 1371514508 output[photo_id] : [[(1371514508, '05102018_Papier_non_papier_presque_vide', 0.45697293, 4557, 3513), (1371514508, 'pcnc', 0.6067307, 4374, 3379), (1371514508, 'pcnc', 0.7546337, 4932, 3847)], 'temp/1752165989_1856966_1371514508_842723afaf891ba4fdbb68071239058b.jpg'] photo_id : 1371514208 output[photo_id] : [[(1371514208, '05102018_Papier_non_papier_tres_dense', 0.6756568, 4557, 3513), (1371514208, 'pcnc', 0.8478909, 4374, 3379), (1371514208, 'pcnc', 0.7906024, 4932, 3847)], 'temp/1752165989_1856966_1371514208_6f315e3c24e7bb8465b08670376fdb32.jpg'] photo_id : 1371514207 output[photo_id] : [[(1371514207, '05102018_Papier_non_papier_presque_vide', 0.45678994, 4557, 3513), (1371514207, 'pcnc', 0.6066925, 4374, 3379), (1371514207, 'pcnc', 0.7546075, 4932, 3847)], 'temp/1752165989_1856966_1371514207_31f5ef1155e6fba316dd77d426d167eb.jpg'] photo_id : 1371514202 output[photo_id] : [[(1371514202, '05102018_Papier_non_papier_tres_dense', 0.67553854, 4557, 3513), (1371514202, 'pcnc', 0.8481032, 4374, 3379), (1371514202, 'pcnc', 0.79064685, 4932, 3847)], 'temp/1752165989_1856966_1371514202_ca76886e9bfab07cdf3ab9e0d21b5f99.jpg'] photo_id : 1371514199 output[photo_id] : [[(1371514199, '05102018_Papier_non_papier_presque_vide', 0.45697114, 4557, 3513), (1371514199, 'pcnc', 0.6067877, 4374, 3379), (1371514199, 'pcnc', 0.7545298, 4932, 3847)], 'temp/1752165989_1856966_1371514199_e9fba21dd7cd4ff5214c213b675095b7.jpg'] photo_id : 1371514135 output[photo_id] : [[(1371514135, '05102018_Papier_non_papier_tres_dense', 0.67550045, 4557, 3513), (1371514135, 'pcnc', 0.84823704, 4374, 3379), (1371514135, 'pcnc', 0.7908543, 4932, 3847)], 'temp/1752165989_1856966_1371514135_ef9ae65142188ac72b002d8a3753a638.jpg'] photo_id : 1371514117 output[photo_id] : [[(1371514117, '05102018_Papier_non_papier_presque_vide', 0.4955255, 4557, 3513), (1371514117, 'film_pedb', 0.75236636, 4374, 3379), (1371514117, 'film_pedb', 0.8562631, 4932, 3847)], 'temp/1752165989_1856966_1371514117_a39e22ec6848eb0bdccea9c5042d56a5.jpg'] photo_id : 1371513902 output[photo_id] : [[(1371513902, '05102018_Papier_non_papier_tres_dense', 0.6755763, 4557, 3513), (1371513902, 'pcnc', 0.84797746, 4374, 3379), (1371513902, 'pcnc', 0.7905602, 4932, 3847)], 'temp/1752165989_1856966_1371513902_5543d117931253fca33f9663a4513030.jpg'] photo_id : 1371513889 output[photo_id] : [[(1371513889, '05102018_Papier_non_papier_tres_dense', 0.85025376, 4557, 3513), (1371513889, 'pcnc', 0.7075482, 4374, 3379), (1371513889, 'pcnc', 0.80234253, 4932, 3847)], 'temp/1752165989_1856966_1371513889_e9087a0d522281b971c4aa0c6d9a9884.jpg'] photo_id : 1371513843 output[photo_id] : [[(1371513843, '05102018_Papier_non_papier_tres_dense', 0.84988654, 4557, 3513), (1371513843, 'pcnc', 0.707642, 4374, 3379), (1371513843, 'pcnc', 0.802351, 4932, 3847)], 'temp/1752165989_1856966_1371513843_f6472232c658b9d4feed0b26ac458a9b.jpg'] photo_id : 1371513836 output[photo_id] : [[(1371513836, '05102018_Papier_non_papier_tres_dense', 0.67556274, 4557, 3513), (1371513836, 'pcnc', 0.8480267, 4374, 3379), (1371513836, 'pcnc', 0.7906073, 4932, 3847)], 'temp/1752165989_1856966_1371513836_9f8ba96b7addc14bdd18fdbe2a0c5aa8.jpg'] photo_id : 1371513835 output[photo_id] : [[(1371513835, '05102018_Papier_non_papier_tres_dense', 0.6754078, 4557, 3513), (1371513835, 'pcnc', 0.8481302, 4374, 3379), (1371513835, 'pcnc', 0.79046935, 4932, 3847)], 'temp/1752165989_1856966_1371513835_d327c9ae0fa24fc9209d3decfe7e3251.jpg'] photo_id : 1371513801 output[photo_id] : [[(1371513801, '05102018_Papier_non_papier_peu_dense', 0.48815826, 4557, 3513), (1371513801, 'film_pedb', 0.6962027, 4374, 3379), (1371513801, 'film_pedb', 0.92946434, 4932, 3847)], 'temp/1752165989_1856966_1371513801_049c1a1f96bf9f6b0bf3e36b82d1ef29.jpg'] photo_id : 1371513760 output[photo_id] : [[(1371513760, '05102018_Papier_non_papier_presque_vide', 0.26741624, 4557, 3513), (1371513760, 'film_pedb', 0.6227228, 4374, 3379), (1371513760, 'film_pedb', 0.8237496, 4932, 3847)], 'temp/1752165989_1856966_1371513760_9d06fdef23ba4f91e5f6462488b2640b.jpg'] photo_id : 1371513754 output[photo_id] : [[(1371513754, '05102018_Papier_non_papier_tres_dense', 0.8500125, 4557, 3513), (1371513754, 'pcnc', 0.7074514, 4374, 3379), (1371513754, 'pcnc', 0.8023674, 4932, 3847)], 'temp/1752165989_1856966_1371513754_ea95658f43f1119177ca410927c82a2c.jpg'] photo_id : 1371513751 output[photo_id] : [[(1371513751, '05102018_Papier_non_papier_presque_vide', 0.49613082, 4557, 3513), (1371513751, 'film_pedb', 0.7527516, 4374, 3379), (1371513751, 'film_pedb', 0.8561594, 4932, 3847)], 'temp/1752165989_1856966_1371513751_9a20f4b5098f09c48cfdee7f8a1b3e0b.jpg'] photo_id : 1371513632 output[photo_id] : [[(1371513632, '05102018_Papier_non_papier_presque_vide', 0.26715946, 4557, 3513), (1371513632, 'film_pedb', 0.62263566, 4374, 3379), (1371513632, 'film_pedb', 0.82368225, 4932, 3847)], 'temp/1752165989_1856966_1371513632_9f139d4d45abe9ec6543142aafa34249.jpg'] photo_id : 1371513630 output[photo_id] : [[(1371513630, '05102018_Papier_non_papier_presque_vide', 0.3237489, 4557, 3513), (1371513630, 'film_pedb', 0.6714398, 4374, 3379), (1371513630, 'film_pedb', 0.8255638, 4932, 3847)], 'temp/1752165989_1856966_1371513630_7cec389d6e883185bae47750892c9cad.jpg'] photo_id : 1371513616 output[photo_id] : [[(1371513616, '05102018_Papier_non_papier_peu_dense', 0.48760292, 4557, 3513), (1371513616, 'film_pedb', 0.69602966, 4374, 3379), (1371513616, 'film_pedb', 0.92945725, 4932, 3847)], 'temp/1752165989_1856966_1371513616_4134991b03bfce2aaa7195fdf86afd89.jpg'] photo_id : 1371513565 output[photo_id] : [[(1371513565, '05102018_Papier_non_papier_presque_vide', 0.26714885, 4557, 3513), (1371513565, 'film_pedb', 0.62235737, 4374, 3379), (1371513565, 'film_pedb', 0.8236722, 4932, 3847)], 'temp/1752165989_1856966_1371513565_de9cd7306c55d5ee6578b7508c855215.jpg'] photo_id : 1371513563 output[photo_id] : [[(1371513563, '05102018_Papier_non_papier_tres_dense', 0.85013294, 4557, 3513), (1371513563, 'pcnc', 0.70741016, 4374, 3379), (1371513563, 'pcnc', 0.8023407, 4932, 3847)], 'temp/1752165989_1856966_1371513563_99dae87cd7643345c7ff8a10eef72b90.jpg'] photo_id : 1371513538 output[photo_id] : [[(1371513538, '05102018_Papier_non_papier_presque_vide', 0.7537597, 4557, 3513), (1371513538, 'pcnc', 0.53696036, 4374, 3379), (1371513538, 'pcnc', 0.73437065, 4932, 3847)], 'temp/1752165989_1856966_1371513538_1ca154d72ee17ebc394f7444ebea06b8.jpg'] photo_id : 1371513499 output[photo_id] : [[(1371513499, '05102018_Papier_non_papier_presque_vide', 0.45756492, 4557, 3513), (1371513499, 'pcnc', 0.6066934, 4374, 3379), (1371513499, 'pcnc', 0.75460136, 4932, 3847)], 'temp/1752165989_1856966_1371513499_0248bba619cb978a8936b23158152c37.jpg'] photo_id : 1371513498 output[photo_id] : [[(1371513498, '05102018_Papier_non_papier_tres_dense', 0.8502024, 4557, 3513), (1371513498, 'pcnc', 0.70750993, 4374, 3379), (1371513498, 'pcnc', 0.80235326, 4932, 3847)], 'temp/1752165989_1856966_1371513498_0cea3428c70403d505e27c5d8f9e359c.jpg'] photo_id : 1371513497 output[photo_id] : [[(1371513497, '05102018_Papier_non_papier_presque_vide', 0.49558952, 4557, 3513), (1371513497, 'film_pedb', 0.75226736, 4374, 3379), (1371513497, 'film_pedb', 0.8563428, 4932, 3847)], 'temp/1752165989_1856966_1371513497_aa3422815e5743bdaccc7182d2b80f4d.jpg'] photo_id : 1371513490 output[photo_id] : [[(1371513490, '05102018_Papier_non_papier_tres_dense', 0.8498863, 4557, 3513), (1371513490, 'pcnc', 0.70734894, 4374, 3379), (1371513490, 'pcnc', 0.8023522, 4932, 3847)], 'temp/1752165989_1856966_1371513490_38fdd236c8ce3c004ac779d0b4f07baf.jpg'] photo_id : 1371513486 output[photo_id] : [[(1371513486, '05102018_Papier_non_papier_presque_vide', 0.75402105, 4557, 3513), (1371513486, 'pcnc', 0.5366865, 4374, 3379), (1371513486, 'pcnc', 0.7344209, 4932, 3847)], 'temp/1752165989_1856966_1371513486_3806ebb9d7392d4f4acc758d989242c7.jpg'] photo_id : 1371513437 output[photo_id] : [[(1371513437, '05102018_Papier_non_papier_presque_vide', 0.7538707, 4557, 3513), (1371513437, 'pcnc', 0.5369361, 4374, 3379), (1371513437, 'pcnc', 0.73445106, 4932, 3847)], 'temp/1752165989_1856966_1371513437_b8cf77eaf11de742837b19a01043fae6.jpg'] photo_id : 1371513435 output[photo_id] : [[(1371513435, '05102018_Papier_non_papier_presque_vide', 0.32373115, 4557, 3513), (1371513435, 'film_pedb', 0.67141, 4374, 3379), (1371513435, 'film_pedb', 0.825511, 4932, 3847)], 'temp/1752165989_1856966_1371513435_38b1f26d044f9211bdf60acc826e553a.jpg'] photo_id : 1371513434 output[photo_id] : [[(1371513434, '05102018_Papier_non_papier_presque_vide', 0.32358906, 4557, 3513), (1371513434, 'film_pedb', 0.6712408, 4374, 3379), (1371513434, 'film_pedb', 0.8254986, 4932, 3847)], 'temp/1752165989_1856966_1371513434_64f2a89dda81d2697f4340eb960b7391.jpg'] photo_id : 1371513422 output[photo_id] : [[(1371513422, '05102018_Papier_non_papier_peu_dense', 0.48833278, 4557, 3513), (1371513422, 'film_pedb', 0.69585633, 4374, 3379), (1371513422, 'film_pedb', 0.92947626, 4932, 3847)], 'temp/1752165989_1856966_1371513422_00c26217cb62fedc368cf7a586db876a.jpg'] photo_id : 1371513420 output[photo_id] : [[(1371513420, '05102018_Papier_non_papier_presque_vide', 0.26734152, 4557, 3513), (1371513420, 'film_pedb', 0.6226149, 4374, 3379), (1371513420, 'film_pedb', 0.82363915, 4932, 3847)], 'temp/1752165989_1856966_1371513420_efbd3aa5619fdb1a32a22afae3f6ae86.jpg'] photo_id : 1371513314 output[photo_id] : [[(1371513314, '05102018_Papier_non_papier_presque_vide', 0.3236541, 4557, 3513), (1371513314, 'film_pedb', 0.6714742, 4374, 3379), (1371513314, 'film_pedb', 0.8254967, 4932, 3847)], 'temp/1752165989_1856966_1371513314_fc63e6edbc070b048e7b78f38ce47541.jpg'] photo_id : 1371513312 output[photo_id] : [[(1371513312, '05102018_Papier_non_papier_presque_vide', 0.49551696, 4557, 3513), (1371513312, 'film_pedb', 0.7524301, 4374, 3379), (1371513312, 'film_pedb', 0.85625976, 4932, 3847)], 'temp/1752165989_1856966_1371513312_754c361709704ea5db90818a18fd0bfc.jpg'] photo_id : 1371513310 output[photo_id] : [[(1371513310, '05102018_Papier_non_papier_presque_vide', 0.4866561, 4557, 3513), (1371513310, 'film_pedb', 0.75390434, 4374, 3379), (1371513310, 'film_pedb', 0.7679681, 4932, 3847)], 'temp/1752165989_1856966_1371513310_3e4089ea0053f6ebc9350fffbe43b909.jpg'] photo_id : 1371513262 output[photo_id] : [[(1371513262, '05102018_Papier_non_papier_tres_dense', 0.42483795, 4557, 3513), (1371513262, 'pcnc', 0.84462214, 4374, 3379), (1371513262, 'pcnc', 0.8644743, 4932, 3847)], 'temp/1752165989_1856966_1371513262_b24d6e9392bb2389451885f9cb25cc49.jpg'] photo_id : 1371513257 output[photo_id] : [[(1371513257, '05102018_Papier_non_papier_presque_vide', 0.7538245, 4557, 3513), (1371513257, 'pcnc', 0.5367611, 4374, 3379), (1371513257, 'pcnc', 0.7344155, 4932, 3847)], 'temp/1752165989_1856966_1371513257_363e677a60152b0bcd6b915288e44baf.jpg'] photo_id : 1371513255 output[photo_id] : [[(1371513255, '05102018_Papier_non_papier_peu_dense', 0.48811603, 4557, 3513), (1371513255, 'film_pedb', 0.69591415, 4374, 3379), (1371513255, 'film_pedb', 0.92943466, 4932, 3847)], 'temp/1752165989_1856966_1371513255_dfeb8cfb411c822c87bbdd1dba5ed508.jpg'] photo_id : 1371513254 output[photo_id] : [[(1371513254, '05102018_Papier_non_papier_presque_vide', 0.32359818, 4557, 3513), (1371513254, 'film_pedb', 0.6713433, 4374, 3379), (1371513254, 'film_pedb', 0.8255531, 4932, 3847)], 'temp/1752165989_1856966_1371513254_7f551b3c5066bf7b4d636c10cb2a6e20.jpg'] photo_id : 1371513196 output[photo_id] : [[(1371513196, '05102018_Papier_non_papier_tres_dense', 0.67575693, 4557, 3513), (1371513196, 'pcnc', 0.8480303, 4374, 3379), (1371513196, 'pcnc', 0.7906288, 4932, 3847)], 'temp/1752165989_1856966_1371513196_40ca2af64e0a2d2c7dd0c9a54327e926.jpg'] photo_id : 1371513195 output[photo_id] : [[(1371513195, '05102018_Papier_non_papier_presque_vide', 0.7537332, 4557, 3513), (1371513195, 'pcnc', 0.5368723, 4374, 3379), (1371513195, 'pcnc', 0.7344718, 4932, 3847)], 'temp/1752165989_1856966_1371513195_216573154beefe0357f324b068a9612d.jpg'] photo_id : 1371513193 output[photo_id] : [[(1371513193, '05102018_Papier_non_papier_tres_dense', 0.4241357, 4557, 3513), (1371513193, 'pcnc', 0.84459317, 4374, 3379), (1371513193, 'pcnc', 0.8645126, 4932, 3847)], 'temp/1752165989_1856966_1371513193_3a92f5ff124f15bf4cc2c1550d3c62d3.jpg'] photo_id : 1371513192 output[photo_id] : [[(1371513192, '05102018_Papier_non_papier_presque_vide', 0.75381714, 4557, 3513), (1371513192, 'pcnc', 0.53679186, 4374, 3379), (1371513192, 'pcnc', 0.73443514, 4932, 3847)], 'temp/1752165989_1856966_1371513192_e30413e5d7c6366c388be46671e05fb3.jpg'] photo_id : 1371513187 output[photo_id] : [[(1371513187, '05102018_Papier_non_papier_presque_vide', 0.2672294, 4557, 3513), (1371513187, 'film_pedb', 0.6225769, 4374, 3379), (1371513187, 'film_pedb', 0.823684, 4932, 3847)], 'temp/1752165989_1856966_1371513187_18c234e50ad72b680c32539c0e177555.jpg'] photo_id : 1371513183 output[photo_id] : [[(1371513183, '05102018_Papier_non_papier_presque_vide', 0.45685208, 4557, 3513), (1371513183, 'pcnc', 0.6067008, 4374, 3379), (1371513183, 'pcnc', 0.754551, 4932, 3847)], 'temp/1752165989_1856966_1371513183_863e8a47750e71e6bfb44b9c9e5d7812.jpg'] photo_id : 1371513117 output[photo_id] : [[(1371513117, '05102018_Papier_non_papier_tres_dense', 0.42452115, 4557, 3513), (1371513117, 'pcnc', 0.84453255, 4374, 3379), (1371513117, 'pcnc', 0.86446893, 4932, 3847)], 'temp/1752165989_1856966_1371513117_6114c9bf29b5310e1b56db4491d0918d.jpg'] photo_id : 1371513114 output[photo_id] : [[(1371513114, '05102018_Papier_non_papier_tres_dense', 0.4249992, 4557, 3513), (1371513114, 'pcnc', 0.8445589, 4374, 3379), (1371513114, 'pcnc', 0.86457574, 4932, 3847)], 'temp/1752165989_1856966_1371513114_6579b563d27e40e7a3e16172f97bec53.jpg'] photo_id : 1371513113 output[photo_id] : [[(1371513113, '05102018_Papier_non_papier_tres_dense', 0.85020405, 4557, 3513), (1371513113, 'pcnc', 0.70745665, 4374, 3379), (1371513113, 'pcnc', 0.80238044, 4932, 3847)], 'temp/1752165989_1856966_1371513113_3c4ed583665cc768774cb4e13e7e23e9.jpg'] photo_id : 1371513112 output[photo_id] : [[(1371513112, '05102018_Papier_non_papier_presque_vide', 0.32365265, 4557, 3513), (1371513112, 'film_pedb', 0.6714428, 4374, 3379), (1371513112, 'film_pedb', 0.82549846, 4932, 3847)], 'temp/1752165989_1856966_1371513112_306b3d826178327087d7e69914f01631.jpg'] photo_id : 1371513111 output[photo_id] : [[(1371513111, '05102018_Papier_non_papier_presque_vide', 0.49562213, 4557, 3513), (1371513111, 'film_pedb', 0.7522428, 4374, 3379), (1371513111, 'film_pedb', 0.85624266, 4932, 3847)], 'temp/1752165989_1856966_1371513111_216ad4294e11a42a84e704d076c77458.jpg'] photo_id : 1371513109 output[photo_id] : [[(1371513109, '05102018_Papier_non_papier_presque_vide', 0.4867985, 4557, 3513), (1371513109, 'film_pedb', 0.75404775, 4374, 3379), (1371513109, 'film_pedb', 0.7679541, 4932, 3847)], 'temp/1752165989_1856966_1371513109_8f2acb35516f1f9d26b97650fe168f5a.jpg'] photo_id : 1371513108 output[photo_id] : [[(1371513108, '05102018_Papier_non_papier_presque_vide', 0.48677263, 4557, 3513), (1371513108, 'film_pedb', 0.7539368, 4374, 3379), (1371513108, 'film_pedb', 0.7679822, 4932, 3847)], 'temp/1752165989_1856966_1371513108_f6c580badd136c4ded0554f56ef072d2.jpg'] photo_id : 1371513106 output[photo_id] : [[(1371513106, '05102018_Papier_non_papier_presque_vide', 0.45675114, 4557, 3513), (1371513106, 'pcnc', 0.6066195, 4374, 3379), (1371513106, 'pcnc', 0.7545822, 4932, 3847)], 'temp/1752165989_1856966_1371513106_f7ebe99a4ec3780f297d7f3c5caf80af.jpg'] photo_id : 1371513021 output[photo_id] : [[(1371513021, '05102018_Papier_non_papier_presque_vide', 0.66551405, 4557, 3513), (1371513021, 'film_pedb', 0.83205837, 4374, 3379), (1371513021, 'film_pedb', 0.88661563, 4932, 3847)], 'temp/1752165989_1856966_1371513021_26654c5cbfbb5d1c8ae1e30cc643ee57.jpg'] photo_id : 1371513020 output[photo_id] : [[(1371513020, '05102018_Papier_non_papier_presque_vide', 0.2674686, 4557, 3513), (1371513020, 'film_pedb', 0.6223985, 4374, 3379), (1371513020, 'film_pedb', 0.8236881, 4932, 3847)], 'temp/1752165989_1856966_1371513020_16a11f22cb960b944670785cbe326a64.jpg'] photo_id : 1371513018 output[photo_id] : [[(1371513018, '05102018_Papier_non_papier_presque_vide', 0.48700097, 4557, 3513), (1371513018, 'film_pedb', 0.75395787, 4374, 3379), (1371513018, 'film_pedb', 0.76792413, 4932, 3847)], 'temp/1752165989_1856966_1371513018_31c7301a45ee573a1e487ae8c3bad922.jpg'] photo_id : 1371513017 output[photo_id] : [[(1371513017, '05102018_Papier_non_papier_peu_dense', 0.4877954, 4557, 3513), (1371513017, 'film_pedb', 0.6961098, 4374, 3379), (1371513017, 'film_pedb', 0.9294497, 4932, 3847)], 'temp/1752165989_1856966_1371513017_d8b3ae0b48bc3f2f6c8f7b0e2aab7116.jpg'] photo_id : 1371512976 output[photo_id] : [[(1371512976, '05102018_Papier_non_papier_presque_vide', 0.4955732, 4557, 3513), (1371512976, 'film_pedb', 0.7523192, 4374, 3379), (1371512976, 'film_pedb', 0.8562982, 4932, 3847)], 'temp/1752165989_1856966_1371512976_495b9ddcba541102077c713efa2d42b0.jpg'] photo_id : 1371512975 output[photo_id] : [[(1371512975, '05102018_Papier_non_papier_tres_dense', 0.4246438, 4557, 3513), (1371512975, 'pcnc', 0.8444351, 4374, 3379), (1371512975, 'pcnc', 0.86446893, 4932, 3847)], 'temp/1752165989_1856966_1371512975_c6f4ff5c77f460d98f592890d4f35f56.jpg'] photo_id : 1371512973 output[photo_id] : [[(1371512973, '05102018_Papier_non_papier_presque_vide', 0.3346256, 4557, 3513), (1371512973, 'pcnc', 0.88255876, 4374, 3379), (1371512973, 'pcnc', 0.8092781, 4932, 3847)], 'temp/1752165989_1856966_1371512973_92f5ab573e5f740941153b78337f4a86.jpg'] photo_id : 1371512971 output[photo_id] : [[(1371512971, '05102018_Papier_non_papier_peu_dense', 0.48793712, 4557, 3513), (1371512971, 'film_pedb', 0.69590294, 4374, 3379), (1371512971, 'film_pedb', 0.92943513, 4932, 3847)], 'temp/1752165989_1856966_1371512971_dab20b785d930033c21384ea61364ee4.jpg'] photo_id : 1371512966 output[photo_id] : [[(1371512966, '05102018_Papier_non_papier_presque_vide', 0.32356322, 4557, 3513), (1371512966, 'film_pedb', 0.67134774, 4374, 3379), (1371512966, 'film_pedb', 0.82567734, 4932, 3847)], 'temp/1752165989_1856966_1371512966_b891efe28cc6a3eda81cda46ea45ee3f.jpg'] photo_id : 1371512908 output[photo_id] : [[(1371512908, '05102018_Papier_non_papier_presque_vide', 0.48660097, 4557, 3513), (1371512908, 'film_pedb', 0.75406826, 4374, 3379), (1371512908, 'film_pedb', 0.7680966, 4932, 3847)], 'temp/1752165989_1856966_1371512908_e257f42a089e17487121db18fb5f5687.jpg'] photo_id : 1371512867 output[photo_id] : [[(1371512867, '05102018_Papier_non_papier_presque_vide', 0.26734257, 4557, 3513), (1371512867, 'film_pedb', 0.6225729, 4374, 3379), (1371512867, 'film_pedb', 0.82365185, 4932, 3847)], 'temp/1752165989_1856966_1371512867_50bb3d1b3dc2f36ad7dbf86092b46d25.jpg'] photo_id : 1371512866 output[photo_id] : [[(1371512866, '05102018_Papier_non_papier_tres_dense', 0.67569417, 4557, 3513), (1371512866, 'pcnc', 0.8481356, 4374, 3379), (1371512866, 'pcnc', 0.7904995, 4932, 3847)], 'temp/1752165989_1856966_1371512866_41ce5dc1531797d1ee78cbbc64886491.jpg'] photo_id : 1371512865 output[photo_id] : [[(1371512865, '05102018_Papier_non_papier_tres_dense', 0.42471465, 4557, 3513), (1371512865, 'pcnc', 0.8443527, 4374, 3379), (1371512865, 'pcnc', 0.86451715, 4932, 3847)], 'temp/1752165989_1856966_1371512865_f122624851d3f65155f118c8bfbc4616.jpg'] photo_id : 1371512864 output[photo_id] : [[(1371512864, '05102018_Papier_non_papier_presque_vide', 0.66582245, 4557, 3513), (1371512864, 'film_pedb', 0.83200043, 4374, 3379), (1371512864, 'film_pedb', 0.8865594, 4932, 3847)], 'temp/1752165989_1856966_1371512864_2eb5cfdc72264bdfd2836611a274ca3c.jpg'] photo_id : 1371512863 output[photo_id] : [[(1371512863, '05102018_Papier_non_papier_presque_vide', 0.75379217, 4557, 3513), (1371512863, 'pcnc', 0.5367773, 4374, 3379), (1371512863, 'pcnc', 0.734416, 4932, 3847)], 'temp/1752165989_1856966_1371512863_21984b98f32891fb52672a67b0277cb3.jpg'] photo_id : 1371512862 output[photo_id] : [[(1371512862, '05102018_Papier_non_papier_tres_dense', 0.42439386, 4557, 3513), (1371512862, 'pcnc', 0.84447837, 4374, 3379), (1371512862, 'pcnc', 0.8644863, 4932, 3847)], 'temp/1752165989_1856966_1371512862_cbe3ab91e012b0495b239e87ddf6f827.jpg'] photo_id : 1371512859 output[photo_id] : [[(1371512859, '05102018_Papier_non_papier_presque_vide', 0.33488357, 4557, 3513), (1371512859, 'pcnc', 0.88250446, 4374, 3379), (1371512859, 'pcnc', 0.8093992, 4932, 3847)], 'temp/1752165989_1856966_1371512859_5150c329681a0c746b83c416069d822a.jpg'] photo_id : 1371512858 output[photo_id] : [[(1371512858, '05102018_Papier_non_papier_tres_dense', 0.67557603, 4557, 3513), (1371512858, 'pcnc', 0.84799683, 4374, 3379), (1371512858, 'pcnc', 0.79066724, 4932, 3847)], 'temp/1752165989_1856966_1371512858_319b8064a4de4c5ec8e38e4e61a0617a.jpg'] photo_id : 1371512857 output[photo_id] : [[(1371512857, '05102018_Papier_non_papier_presque_vide', 0.32358494, 4557, 3513), (1371512857, 'film_pedb', 0.671297, 4374, 3379), (1371512857, 'film_pedb', 0.8254553, 4932, 3847)], 'temp/1752165989_1856966_1371512857_b080cabe99d79bdb65b6c59b98da1491.jpg'] photo_id : 1371512831 output[photo_id] : [[(1371512831, '05102018_Papier_non_papier_presque_vide', 0.45694628, 4557, 3513), (1371512831, 'pcnc', 0.6067839, 4374, 3379), (1371512831, 'pcnc', 0.75455165, 4932, 3847)], 'temp/1752165989_1856966_1371512831_f18216c3aeefcd9d5401d699b2b0aa83.jpg'] photo_id : 1371512811 output[photo_id] : [[(1371512811, '05102018_Papier_non_papier_presque_vide', 0.48663402, 4557, 3513), (1371512811, 'film_pedb', 0.7539854, 4374, 3379), (1371512811, 'film_pedb', 0.7679679, 4932, 3847)], 'temp/1752165989_1856966_1371512811_6e2d91551c73730e708a4dfcb69b6cc0.jpg'] photo_id : 1371512810 output[photo_id] : [[(1371512810, '05102018_Papier_non_papier_presque_vide', 0.6658371, 4557, 3513), (1371512810, 'film_pedb', 0.83194447, 4374, 3379), (1371512810, 'film_pedb', 0.8865577, 4932, 3847)], 'temp/1752165989_1856966_1371512810_d24e223773995492458558b29fd1efd2.jpg'] photo_id : 1371512809 output[photo_id] : [[(1371512809, '05102018_Papier_non_papier_tres_dense', 0.84981096, 4557, 3513), (1371512809, 'pcnc', 0.70749503, 4374, 3379), (1371512809, 'pcnc', 0.80237204, 4932, 3847)], 'temp/1752165989_1856966_1371512809_69d1249e05fca53d56ff2b2c81499dce.jpg'] photo_id : 1371512805 output[photo_id] : [[(1371512805, '05102018_Papier_non_papier_presque_vide', 0.33509317, 4557, 3513), (1371512805, 'pcnc', 0.88258487, 4374, 3379), (1371512805, 'pcnc', 0.8093085, 4932, 3847)], 'temp/1752165989_1856966_1371512805_872dbd17bbf622dcf4cedafbf6a86f76.jpg'] photo_id : 1371512804 output[photo_id] : [[(1371512804, '05102018_Papier_non_papier_presque_vide', 0.66587985, 4557, 3513), (1371512804, 'film_pedb', 0.83187234, 4374, 3379), (1371512804, 'film_pedb', 0.88657886, 4932, 3847)], 'temp/1752165989_1856966_1371512804_ff849ff27c32ccd926a7e1df734e3139.jpg'] photo_id : 1371512797 output[photo_id] : [[(1371512797, '05102018_Papier_non_papier_presque_vide', 0.32369843, 4557, 3513), (1371512797, 'film_pedb', 0.6712983, 4374, 3379), (1371512797, 'film_pedb', 0.8255104, 4932, 3847)], 'temp/1752165989_1856966_1371512797_5652a8299ae0ba2d12398d0fad1d31ea.jpg'] photo_id : 1371512795 output[photo_id] : [[(1371512795, '05102018_Papier_non_papier_presque_vide', 0.33483264, 4557, 3513), (1371512795, 'pcnc', 0.88254994, 4374, 3379), (1371512795, 'pcnc', 0.80926573, 4932, 3847)], 'temp/1752165989_1856966_1371512795_d6a0eec0e2c9119822f17e3f59204313.jpg'] photo_id : 1371512722 output[photo_id] : [[(1371512722, '05102018_Papier_non_papier_presque_vide', 0.6659771, 4557, 3513), (1371512722, 'film_pedb', 0.8318505, 4374, 3379), (1371512722, 'film_pedb', 0.88657886, 4932, 3847)], 'temp/1752165989_1856966_1371512722_5c01922297ea0ef241e8009d2640c245.jpg'] photo_id : 1371512721 output[photo_id] : [[(1371512721, '05102018_Papier_non_papier_presque_vide', 0.323644, 4557, 3513), (1371512721, 'film_pedb', 0.6713399, 4374, 3379), (1371512721, 'film_pedb', 0.82550865, 4932, 3847)], 'temp/1752165989_1856966_1371512721_05dea1677def72f84b7f56c7882e891f.jpg'] photo_id : 1371512624 output[photo_id] : [[(1371512624, '05102018_Papier_non_papier_presque_vide', 0.48663086, 4557, 3513), (1371512624, 'film_pedb', 0.7540595, 4374, 3379), (1371512624, 'film_pedb', 0.76799995, 4932, 3847)], 'temp/1752165989_1856966_1371512624_e41d40e5e30d49698d2a14ef0e6f7e81.jpg'] photo_id : 1371512615 output[photo_id] : [[(1371512615, '05102018_Papier_non_papier_presque_vide', 0.49570796, 4557, 3513), (1371512615, 'film_pedb', 0.75238, 4374, 3379), (1371512615, 'film_pedb', 0.85630107, 4932, 3847)], 'temp/1752165989_1856966_1371512615_57e288e3b07d7695d5490b9224a9e1c1.jpg'] photo_id : 1371512613 output[photo_id] : [[(1371512613, '05102018_Papier_non_papier_presque_vide', 0.33476493, 4557, 3513), (1371512613, 'pcnc', 0.8825541, 4374, 3379), (1371512613, 'pcnc', 0.8091827, 4932, 3847)], 'temp/1752165989_1856966_1371512613_9f010bec0614ed5ce9915f9f513d0046.jpg'] photo_id : 1371512611 output[photo_id] : [[(1371512611, '05102018_Papier_non_papier_presque_vide', 0.2672388, 4557, 3513), (1371512611, 'film_pedb', 0.6223204, 4374, 3379), (1371512611, 'film_pedb', 0.82370603, 4932, 3847)], 'temp/1752165989_1856966_1371512611_53a48a3113809ad706ea3b7eb53429f7.jpg'] photo_id : 1371512547 output[photo_id] : [[(1371512547, '05102018_Papier_non_papier_presque_vide', 0.49544746, 4557, 3513), (1371512547, 'film_pedb', 0.7524749, 4374, 3379), (1371512547, 'film_pedb', 0.8562986, 4932, 3847)], 'temp/1752165989_1856966_1371512547_21aaa11c785bbe42d8a4694c69f02e77.jpg'] photo_id : 1371512469 output[photo_id] : [[(1371512469, '05102018_Papier_non_papier_presque_vide', 0.33484647, 4557, 3513), (1371512469, 'pcnc', 0.88255495, 4374, 3379), (1371512469, 'pcnc', 0.8093147, 4932, 3847)], 'temp/1752165989_1856966_1371512469_6d06f5dfe83b12ed4220cd6b8452f9f0.jpg'] photo_id : 1371512468 output[photo_id] : [[(1371512468, '05102018_Papier_non_papier_tres_dense', 0.8500729, 4557, 3513), (1371512468, 'pcnc', 0.707567, 4374, 3379), (1371512468, 'pcnc', 0.80235475, 4932, 3847)], 'temp/1752165989_1856966_1371512468_da13d9a50e57c0977c9684d7819ba0fe.jpg'] photo_id : 1371512462 output[photo_id] : [[(1371512462, '05102018_Papier_non_papier_presque_vide', 0.32352376, 4557, 3513), (1371512462, 'film_pedb', 0.67137134, 4374, 3379), (1371512462, 'film_pedb', 0.82551825, 4932, 3847)], 'temp/1752165989_1856966_1371512462_a2280381de0288fb8be2ba99e1559d1f.jpg'] photo_id : 1371512385 output[photo_id] : [[(1371512385, '05102018_Papier_non_papier_presque_vide', 0.7538089, 4557, 3513), (1371512385, 'pcnc', 0.5366204, 4374, 3379), (1371512385, 'pcnc', 0.7343953, 4932, 3847)], 'temp/1752165989_1856966_1371512385_362c039b7ff9effc9f427c735f97cd4e.jpg'] photo_id : 1371512383 output[photo_id] : [[(1371512383, '05102018_Papier_non_papier_presque_vide', 0.48664802, 4557, 3513), (1371512383, 'film_pedb', 0.7538504, 4374, 3379), (1371512383, 'film_pedb', 0.7679639, 4932, 3847)], 'temp/1752165989_1856966_1371512383_ab882b19b82e3f67baf083406db01453.jpg'] photo_id : 1371512382 output[photo_id] : [[(1371512382, '05102018_Papier_non_papier_tres_dense', 0.67568517, 4557, 3513), (1371512382, 'pcnc', 0.84805626, 4374, 3379), (1371512382, 'pcnc', 0.79064876, 4932, 3847)], 'temp/1752165989_1856966_1371512382_f297c51bed7fb2f4262f8d2f1c84577f.jpg'] photo_id : 1371512381 output[photo_id] : [[(1371512381, '05102018_Papier_non_papier_tres_dense', 0.85004634, 4557, 3513), (1371512381, 'pcnc', 0.70731694, 4374, 3379), (1371512381, 'pcnc', 0.80234253, 4932, 3847)], 'temp/1752165989_1856966_1371512381_1ae5b23de8de88d1c0be2a95db925488.jpg'] photo_id : 1371512379 output[photo_id] : [[(1371512379, '05102018_Papier_non_papier_tres_dense', 0.42474496, 4557, 3513), (1371512379, 'pcnc', 0.8445049, 4374, 3379), (1371512379, 'pcnc', 0.8645188, 4932, 3847)], 'temp/1752165989_1856966_1371512379_bd9971a1606a494c0427af5f033b13f7.jpg'] photo_id : 1371512375 output[photo_id] : [[(1371512375, '05102018_Papier_non_papier_presque_vide', 0.4864968, 4557, 3513), (1371512375, 'film_pedb', 0.75390506, 4374, 3379), (1371512375, 'film_pedb', 0.76801556, 4932, 3847)], 'temp/1752165989_1856966_1371512375_9f8c2eb2803cd68111b3fff6bbadb238.jpg'] photo_id : 1371512374 output[photo_id] : [[(1371512374, '05102018_Papier_non_papier_presque_vide', 0.3349228, 4557, 3513), (1371512374, 'pcnc', 0.8825714, 4374, 3379), (1371512374, 'pcnc', 0.809322, 4932, 3847)], 'temp/1752165989_1856966_1371512374_d8aecffeca010dcac855b27ecd6f22f2.jpg'] photo_id : 1371512372 output[photo_id] : [[(1371512372, '05102018_Papier_non_papier_presque_vide', 0.665999, 4557, 3513), (1371512372, 'film_pedb', 0.83198035, 4374, 3379), (1371512372, 'film_pedb', 0.8865815, 4932, 3847)], 'temp/1752165989_1856966_1371512372_0ae03d45845fdcf31ff5e28ac1466171.jpg'] photo_id : 1371512349 output[photo_id] : [[(1371512349, '05102018_Papier_non_papier_presque_vide', 0.66594017, 4557, 3513), (1371512349, 'film_pedb', 0.83188087, 4374, 3379), (1371512349, 'film_pedb', 0.88656026, 4932, 3847)], 'temp/1752165989_1856966_1371512349_0b5e197c511175a0d58b75f2d4cbbabf.jpg'] begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 300 time used for this insertion : 0.07113528251647949 begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 300 time used for this insertion : 0.054952144622802734 len list_finale : 300, len picture : 100 begin to insert list_values into mtr_datou_result : length of list_values in save_final : 300 time used for this insertion : 0.027906179428100586 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 begin to insert list_values into mtr_datou_result : length of list_values in save_final : 94 time used for this insertion : 0.0257565975189209 save missing photos in datou_result : time spend for datou_step_exec : 0.0036382675170898438 time spend to save output : 0.2123711109161377 total time spend for step 2 : 0.21600937843322754 caffe_path_current : About to save ! 2 After save, about to update current ! update_current_state 52.90user 6.99system 2:15.14elapsed 44%CPU (0avgtext+0avgdata 2961312maxresident)k 696512inputs+510320outputs (884major+2138525minor)pagefaults 0swaps