python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4883' -s datou_current_4883 -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 : 2155546 load datou : 4883 # 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 : 2432>1000 please execute split_portfolio.py -i 20762130 -l 1000 size over we load limit photo not treated list_input_json: {} Current got : datou_id : 4883, datou_cur_ids : ['2610788'] with mtr_portfolio_ids : ['20762130'] and first list_photo_ids : [] new path : /proc/2155546/ 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 : 0.02805781364440918 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon Feb 24 21:18:29 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', 179), ('06', 292), ('07', 200), ('08', 265), ('09', 97), ('10', 274), ('11', 250), ('12', 54), ('13', 87), ('14', 84), ('15', 276), ('16', 181), ('17', 146), ('18', 24), ('19', 12), ('20', 10), ('21', 1)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 2293} 24022025 20762130 Nombre de photos uploadées : 19 / 23040 (0%) 24022025 20762130 Nombre de photos taguées (types de déchets): 2293 / 19 (12068%) 24022025 20762130 Nombre de photos taguées (volume) : 2293 / 19 (12068%) elapsed_time : load_data_split_time_score 2.6226043701171875e-06 elapsed_time : order_list_meta_photo_and_scores 0.0005712509155273438 ??????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0007655620574951172 elapsed_time : insert_dashboard_record_day_entry 0.023705482482910156 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 Hashtag is None elapsed_time : list_photo_by_hashtags 0.005216836929321289 ***** BEGIN SPLIT TIME ***** True 1740355200.0 `1740420873.009133 1740420840.0 `1740421124.010141 1740421080.0 `1740421134.010138 1740421080.0 `1740421663.010143 1740421620.0 `1740421684.010143 1740421680.0 `1740423064.010173 1740423060.0 `1740423264.010136 1740423240.0 `1740423404.010137 1740423360.0 `1740424605.010135 1740424560.0 `1740424615.010134 1740424560.0 `1740425014.01014 1740424980.0 `1740425274.010135 1740425220.0 `1740425284.010154 1740425280.0 `1740425835.010135 1740425820.0 `1740425895.010133 1740425880.0 `1740425994.010136 1740425940.0 `1740426384.010137 1740426360.0 `1740426934.010137 1740426900.0 `1740427413.009129 1740427380.0 list printed: [[0], [1, 2], [3], [4], [5], [6], [7], [8, 9], [10], [11], [12], [13], [14], [15], [16], [17], [18]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.00490260124206543 ***** END SPLIT TIME ***** NUMBER BATCH : 17 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] Missing time_diff : 2107751015 : jrm should be duplicate or empty carpet ! Missing time_diff : 2107751015 : jrm should be duplicate or empty carpet ! result_one_balle_Type_JRM:{'day': '24022025', 'map_nb_amount': {0: 0, 1: 2, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 0, 'nb_balles_papier': 2e-05, 'begin_time_port': 'image'} Production hashtag (incorrect ponderation at 20-10-18) : 2e-05 We reject this portfolio because of the condition_save_data : 2025-02-24 19:18:44.010141 Missing time_diff : 2107751015 : jrm should be duplicate or empty carpet ! Missing time_diff : 2107751015 : jrm should be duplicate or empty carpet ! result_one_balle_Type_JRM:{'day': '24022025', 'map_nb_amount': {0: 0, 1: 2, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 0, 'nb_balles_papier': 2e-05, 'begin_time_port': 'image'} Production hashtag (incorrect ponderation at 20-10-18) : 2e-05 We reject this portfolio because of the condition_save_data : 2025-02-24 20:16:45.010135 We have rejected 15 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.05582261085510254 # DISPLAY ALL COLLECTED DATA : {'24022025': {'nb_upload': 19, 'nb_taggue_class': 2293, 'nb_taggue_densite': 2293}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1339403747, 1339403743, 1339401889, 1339399512, 1339398872, 1339398758, 1339398735, 1339396942, 1339396922, 1339396505, 1339394998, 1339394995, 1339389331, 1339389277, 1339389033, 1339385751, 1339385730, 1339381932, 1339381929, 1339380210, 1339379812, 1339378399, 1339378395, 1339378159, 1339376886, 1339376884, 1339376748, 1339376584, 1339376466, 1339375904, 1339375769, 1339373880, 1339372736, 1339372291, 1339372151, 1339371647, 1339371299, 1339371004, 1339369679, 1339369674, 1339369585, 1339369426, 1339369392, 1339369363, 1339369343, 1339369339, 1339368446, 1339368439, 1339367895, 1339366761, 1339366335, 1339365907, 1339365904, 1339365901, 1339365896, 1339365885, 1339365865, 1339365862, 1339365856, 1339365852, 1339365696, 1339365694, 1339365690, 1339365687, 1339365684, 1339365680, 1339365665, 1339365662, 1339365658, 1339365654, 1339365632, 1339365627, 1339365617, 1339365560, 1339365555, 1339365547, 1339365519, 1339365501, 1339365497, 1339365492, 1339365481, 1339365477, 1339365420, 1339365414, 1339365246, 1339365243, 1339365239, 1339365109, 1339365016, 1339364923, 1339364681, 1339364667, 1339364663, 1339364636, 1339364599, 1339364596, 1339364591, 1339364582, 1339364578, 1339364566] Looping around the photos to save general results len do output : 1 /20762130Didn'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 ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339403747', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339403743', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339401889', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339399512', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339398872', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339398758', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339398735', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339396942', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339396922', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339396505', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339394998', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339394995', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339389331', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339389277', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339389033', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339385751', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339385730', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339381932', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339381929', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339380210', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339379812', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339378399', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339378395', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339378159', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339376886', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339376884', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339376748', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339376584', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339376466', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339375904', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339375769', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339373880', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339372736', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339372291', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339372151', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339371647', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339371299', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339371004', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339369679', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339369674', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339369585', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339369426', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339369392', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339369363', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339369343', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339369339', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339368446', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339368439', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339367895', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339366761', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339366335', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365907', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365904', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365901', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365896', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365885', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365865', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365862', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365856', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365852', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365696', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365694', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365690', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365687', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365684', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365680', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365665', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365662', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365658', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365654', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365632', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365627', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365617', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365560', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365555', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365547', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365519', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365501', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365497', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365492', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365481', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365477', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365420', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365414', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365246', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365243', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365239', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365109', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339365016', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339364923', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339364681', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339364667', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339364663', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339364636', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339364599', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339364596', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339364591', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339364582', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339364578', None, None, None, None, None, '2610788') ('4883', None, None, None, None, None, None, None, '2610788') ('4883', '20762130', '1339364566', None, None, None, None, None, '2610788') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.029786348342895508 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.3367938995361328 time spend to save output : 0.032468318939208984 total time spend for step 1 : 0.3692622184753418 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 1.08user 0.75system 0:03.68elapsed 50%CPU (0avgtext+0avgdata 102832maxresident)k 0inputs+56outputs (15major+49210minor)pagefaults 0swaps