python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4876' -s datou_current_4876 -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 : 1868076 load datou : 4876 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! 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 : None was removed should we ? donnée sous forme de texte was removed should we ? [ptf_id0,ptf_id1...] 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 : 1921>1000 please execute split_portfolio.py -i 20166663 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2542549'] with mtr_portfolio_ids : ['20166663'] and first list_photo_ids : [] new path : /proc/1868076/ 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) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! List Step Type Loaded in datou : split_time_score over limit max, limiting to limit_max 100 list_input_json : {} origin We have 1 , WARNING: data may be incomplete, need to offset and complete ! we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB time to download the photos : 0.026449203491210938 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon Feb 3 22:34:32 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 begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3379, 'mtr_user_id': 31, 'name': 'learn_classif_flux_maj_generique_effnet_v2_s_02062022', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '5515864,5515840,5515844,5515850,6244400,6237996,6237998,5515847,5515841,5515868,5515866', 'photo_hashtag_type': 4374, 'photo_desc_type': 5680, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 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'}] (('05', 78), ('06', 2), ('07', 2), ('08', 2), ('09', 126), ('10', 125), ('11', 204), ('12', 56), ('13', 90), ('14', 186), ('15', 225), ('16', 204), ('17', 123), ('18', 216), ('19', 134), ('20', 124), ('21', 23), ('22', 1)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 1637} 03022025 20166663 Nombre de photos uploadées : 54 / 23040 (0%) 03022025 20166663 Nombre de photos taguées (types de déchets): 1637 / 54 (3031%) 03022025 20166663 Nombre de photos taguées (volume) : 1637 / 54 (3031%) Catched exception ! Connect or reconnect ! elapsed_time : load_data_split_time_score 3.337860107421875e-06 elapsed_time : order_list_meta_photo_and_scores 0.0007579326629638672 ?????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0031681060791015625 elapsed_time : insert_dashboard_record_day_entry 0.0218656063079834 Creating list_photo_by_hashtags Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.0062220096588134766 photos_removed : len 0 elapsed_time : load_duplicate_info 0.010636329650878906 ***** BEGIN SPLIT TIME ***** True 1738540800.0 `1738611234.010138 1738611000.0 `1738611264.010135 1738611000.0 `1738611284.010136 1738611000.0 `1738611304.010149 1738611000.0 `1738611323.010142 1738611000.0 `1738611334.010141 1738611000.0 `1738611354.010155 1738611000.0 `1738611373.009127 1738611000.0 `1738611384.010245 1738611000.0 `1738611394.010186 1738611000.0 `1738611404.010136 1738611000.0 `1738611414.010137 1738611000.0 `1738611424.010147 1738611000.0 `1738611434.010141 1738611000.0 `1738611443.009125 1738611000.0 `1738611454.010171 1738611000.0 `1738611464.010141 1738611000.0 `1738611474.01014 1738611000.0 `1738611484.010142 1738611000.0 `1738611524.010134 1738611000.0 `1738611534.010139 1738611000.0 `1738611544.010205 1738611000.0 `1738611554.01014 1738611000.0 `1738611564.010139 1738611000.0 `1738611573.009136 1738611000.0 `1738611583.01016 1738611000.0 `1738611594.010142 1738611000.0 `1738611604.010149 1738611000.0 `1738611624.010134 1738611000.0 `1738611634.010137 1738611000.0 `1738613334.010142 1738612800.0 `1738613344.010175 1738612800.0 `1738613464.010165 1738612800.0 `1738613524.010148 1738612800.0 `1738613614.010228 1738612800.0 `1738613624.010148 1738612800.0 `1738613844.010138 1738613700.0 `1738613874.010142 1738613700.0 `1738614074.010207 1738613700.0 `1738614094.010146 1738613700.0 `1738614424.010182 1738613700.0 `1738614494.010142 1738613700.0 `1738614594.010142 1738613700.0 `1738614624.010135 1738614600.0 `1738614704.01014 1738614600.0 `1738615174.010147 1738614600.0 `1738615384.010162 1738614600.0 `1738615414.010148 1738614600.0 `1738615724.010142 1738615500.0 `1738615864.010156 1738615500.0 `1738615924.010161 1738615500.0 `1738615974.010145 1738615500.0 `1738616274.01014 1738615500.0 `1738616814.010137 1738616400.0 list printed: [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29], [30, 31, 32, 33, 34, 35], [36, 37, 38, 39, 40, 41, 42], [43, 44, 45, 46, 47], [48, 49, 50, 51, 52], [53]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.007077932357788086 ***** END SPLIT TIME ***** NUMBER BATCH : 6 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] result_one_balle_Type_JRM:{'day': '03022025', 'map_nb_amount': {0: 4, 1: 25, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 399.9999990463257, 'nb_balles_papier': 0.00030000000000000014, 'begin_time_port': 'image_03022025_20_33_54_010138m0.jpg 6e-05 for time 1, id_amount 1 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.00030000000000000014 We reject this portfolio because of the condition_save_data : 2025-02-03 20:33:54.010138 We have rejected 24 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.05284738540649414 # DISPLAY ALL COLLECTED DATA : {'03022025': {'nb_upload': 54, 'nb_taggue_class': 1637, 'nb_taggue_densite': 1637}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1334342709, 1334342648, 1334340292, 1334339821, 1334339819, 1334339370, 1334338506, 1334337521, 1334337483, 1334336232, 1334334304, 1334334251, 1334334161, 1334334103, 1334333931, 1334330930, 1334330913, 1334330243, 1334330241, 1334327969, 1334327901, 1334327600, 1334327376, 1334326234, 1334325991, 1334321099, 1334321091, 1334321084, 1334320956, 1334320953, 1334320950, 1334320947, 1334320943, 1334320940, 1334320884, 1334320843, 1334320836, 1334320696, 1334320668, 1334320645, 1334320596, 1334320564, 1334320538, 1334320522, 1334320520, 1334320517, 1334320485, 1334320481, 1334320291, 1334320288, 1334320285, 1334320269, 1334320096, 1334320093, 1334320056, 1334320052, 1334320050, 1334320047, 1334320043, 1334320040, 1334320003, 1334320000, 1334319461, 1334319458, 1334319455, 1334319444, 1334319344, 1334319341, 1334319330, 1334319327, 1334319323, 1334319320, 1334319233, 1334319230, 1334319228, 1334319224, 1334319220, 1334319213, 1334319172, 1334319167, 1334319164, 1334319148, 1334319145, 1334319141, 1334319136, 1334319133, 1334319110, 1334319106, 1334319102, 1334319099, 1334319097, 1334319077, 1334319074, 1334319071, 1334319069, 1334318987, 1334318984, 1334318978, 1334318973, 1334318969] Looping around the photos to save general results len do output : 1 /20166663Didn'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 ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334342709', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334342648', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334340292', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334339821', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334339819', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334339370', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334338506', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334337521', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334337483', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334336232', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334334304', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334334251', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334334161', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334334103', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334333931', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334330930', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334330913', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334330243', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334330241', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334327969', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334327901', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334327600', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334327376', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334326234', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334325991', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334321099', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334321091', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334321084', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320956', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320953', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320950', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320947', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320943', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320940', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320884', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320843', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320836', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320696', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320668', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320645', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320596', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320564', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320538', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320522', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320520', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320517', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320485', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320481', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320291', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320288', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320285', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320269', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320096', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320093', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320056', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320052', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320050', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320047', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320043', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320040', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320003', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334320000', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319461', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319458', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319455', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319444', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319344', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319341', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319330', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319327', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319323', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319320', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319233', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319230', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319228', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319224', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319220', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319213', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319172', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319167', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319164', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319148', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319145', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319141', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319136', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319133', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319110', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319106', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319102', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319099', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319097', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319077', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319074', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319071', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334319069', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334318987', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334318984', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334318978', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334318973', None, None, None, None, None, '2542549') ('4876', None, None, None, None, None, None, None, '2542549') ('4876', '20166663', '1334318969', None, None, None, None, None, '2542549') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.02605414390563965 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.3898732662200928 time spend to save output : 0.0268096923828125 total time spend for step 1 : 0.4166829586029053 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 1 set_done_treatment 1.14user 0.52system 0:07.45elapsed 22%CPU (0avgtext+0avgdata 101152maxresident)k 2376inputs+64outputs (9major+48983minor)pagefaults 0swaps