python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4891' -s datou_current_4891 -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 : 3370073 load datou : 4891 # 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 list_input_json: {} Date 2026-03-21 09:00:29.928398 Current got : datou_id : 4891, datou_cur_ids : ['4365650'] with mtr_portfolio_ids : ['30831642'] and first list_photo_ids : [] new path : /proc/3370073/ 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 , we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB time to download the photos : 0.019448280334472656 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Sat Mar 21 09:00:30 2026 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': 3892, 'mtr_user_id': 31, 'name': 'learn_MM_generique_26022025', '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': '17736100,17736101,17736102,17736103,17736104,20837895,20837896,17736107,17736108,17736109,17736110,18876169', 'photo_hashtag_type': 4989, 'photo_desc_type': 6092, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] 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'}] (('00', 3), ('01', 3), ('02', 5), ('03', 4), ('04', 4), ('05', 3), ('06', 3), ('07', 3), ('08', 5)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 32} 21032026 30831642 Nombre de photos uploadées : 33 / 23040 (0%) 21032026 30831642 Nombre de photos taguées (types de déchets): 32 / 33 (96%) 21032026 30831642 Nombre de photos taguées (volume) : 32 / 33 (96%) elapsed_time : load_data_split_time_score 1.9073486328125e-06 elapsed_time : order_list_meta_photo_and_scores 2.4080276489257812e-05 ? elapsed_time : fill_and_build_computed_from_old_data 0.002146482467651367 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.21347403526306152 Creating list_photo_total elapsed_time : select_descriptors 0.010326385498046875 21032026 30831642 Nombre de photos avec descriptors (type 6092) : 0 / 1 (0%) Missing descriptors for photos 0 and 1413207019 0:00:00|ON:Missing descriptors for photos 1413207019 and 1413207109 Missing descriptors for photos 1413207109 and 1413207120 Missing descriptors for photos 1413207120 and 1413212398 Missing descriptors for photos 1413212398 and 1413212477 Missing descriptors for photos 1413212477 and 1413212491 Missing descriptors for photos 1413212491 and 1413214436 Missing descriptors for photos 1413214436 and 1413215347 Missing descriptors for photos 1413215347 and 1413215360 Missing descriptors for photos 1413215360 and 1413215378 Missing descriptors for photos 1413215378 and 1413215392 Missing descriptors for photos 1413215392 and 1413218331 Missing descriptors for photos 1413218331 and 1413218409 Missing descriptors for photos 1413218409 and 1413218510 Missing descriptors for photos 1413218510 and 1413218660 Missing descriptors for photos 1413218660 and 1413220304 Missing descriptors for photos 1413220304 and 1413220539 Missing descriptors for photos 1413220539 and 1413220699 Missing descriptors for photos 1413220699 and 1413221263 Missing descriptors for photos 1413221263 and 1413223453 Missing descriptors for photos 1413223453 and 1413223628 Missing descriptors for photos 1413223628 and 1413224163 Missing descriptors for photos 1413224163 and 1413226230 Missing descriptors for photos 1413226230 and 1413226343 Missing descriptors for photos 1413226343 and 1413226383 Missing descriptors for photos 1413226383 and 1413229386 Missing descriptors for photos 1413229386 and 1413230768 Missing descriptors for photos 1413230768 and 1413230794 Missing descriptors for photos 1413230794 and 1413232382 Missing descriptors for photos 1413232382 and 1413234311 Missing descriptors for photos 1413234311 and 1413234681 Missing descriptors for photos 1413234681 and 1413235167 Missing descriptors for photos 1413235167 and 1413235790 21032026 Removing 0 photos because of the 'same image' condition Total on : 0 Total off : 0.0 list_time_off Warning in study_and_display_distrib_list : min=max : 0.0 0.0 dist_desc Warning in study_and_display_distrib_list : min=max : -1 -1 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 33 time used for this insertion : 0.015092611312866211 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.04885411262512207 Creating list_photo_total Warning list_scores null ERROR ! elapsed_time : count_sum_diff_and_build_graph 0.00043082237243652344 Total photos : 33 .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info Total photos : 33 Number of lists : 0 counter photos in port : 0 hashtag : aluminium(493546845) : 0 photos in 0 portfolios ! hashtag : ela(492741797) : 0 photos in 0 portfolios ! hashtag : emr(616987804) : 0 photos in 0 portfolios ! hashtag : film_pedb(2107760237) : 0 photos in 0 portfolios ! hashtag : flux_dev(2107760238) : 0 photos in 0 portfolios ! hashtag : jrm(495916461) : 0 photos in 0 portfolios ! hashtag : pcm(560181804) : 0 photos in 0 portfolios ! hashtag : pcnc(1284539308) : 0 photos in 0 portfolios ! hashtag : pehd_pp(2107760239) : 0 photos in 0 portfolios ! hashtag : pet_clair(2107755846) : 0 photos in 0 portfolios ! hashtag : refus(538914404) : 0 photos in 0 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 0 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.0018596649169921875 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 2.86102294921875e-06 today str has not a value , we define it as the date of the first image todaystr_first : 21032026 attention , prev_timestamp is 0 , we do nothing *******************************Unexpected type of data : ({'photo_id': 1413235790, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_b878d1ec389e4877b1a6590d8f2dcede/media.fotonower.com/2026/3/21/6ed8f0029748c0ad410b2efd2a56126b.jpg', 'username': None, 'uploaded_at': 1774080022, 'text': 'image_21032026_08_59_50_10702.jpg', 'time': 1774083590.010702}, 'different') Count Time bigger than 30s : 31 #Number Photos for regression : {'21032026': {493546845: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 560181804: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}}} 21032026|aluminium, 05102018_papier_non_papier_dense:0 21032026|aluminium, 05102018_papier_non_papier_peu_dense:0 21032026|aluminium, 05102018_papier_non_papier_presque_vide:0 21032026|aluminium, 05102018_papier_non_papier_tres_dense:0 21032026|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 21032026|ela, 05102018_papier_non_papier_dense:0 21032026|ela, 05102018_papier_non_papier_peu_dense:0 21032026|ela, 05102018_papier_non_papier_presque_vide:0 21032026|ela, 05102018_papier_non_papier_tres_dense:0 21032026|ela, 05102018_papier_non_papier_tres_peu_dense:0 21032026|emr, 05102018_papier_non_papier_dense:0 21032026|emr, 05102018_papier_non_papier_peu_dense:0 21032026|emr, 05102018_papier_non_papier_presque_vide:0 21032026|emr, 05102018_papier_non_papier_tres_dense:0 21032026|emr, 05102018_papier_non_papier_tres_peu_dense:0 21032026|film_pedb, 05102018_papier_non_papier_dense:0 21032026|film_pedb, 05102018_papier_non_papier_peu_dense:0 21032026|film_pedb, 05102018_papier_non_papier_presque_vide:0 21032026|film_pedb, 05102018_papier_non_papier_tres_dense:0 21032026|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 21032026|flux_dev, 05102018_papier_non_papier_dense:0 21032026|flux_dev, 05102018_papier_non_papier_peu_dense:0 21032026|flux_dev, 05102018_papier_non_papier_presque_vide:0 21032026|flux_dev, 05102018_papier_non_papier_tres_dense:0 21032026|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 21032026|jrm, 05102018_papier_non_papier_dense:0 21032026|jrm, 05102018_papier_non_papier_peu_dense:0 21032026|jrm, 05102018_papier_non_papier_presque_vide:0 21032026|jrm, 05102018_papier_non_papier_tres_dense:0 21032026|jrm, 05102018_papier_non_papier_tres_peu_dense:0 21032026|pcm, 05102018_papier_non_papier_dense:0 21032026|pcm, 05102018_papier_non_papier_peu_dense:0 21032026|pcm, 05102018_papier_non_papier_presque_vide:0 21032026|pcm, 05102018_papier_non_papier_tres_dense:0 21032026|pcm, 05102018_papier_non_papier_tres_peu_dense:0 21032026|pcnc, 05102018_papier_non_papier_dense:0 21032026|pcnc, 05102018_papier_non_papier_peu_dense:0 21032026|pcnc, 05102018_papier_non_papier_presque_vide:0 21032026|pcnc, 05102018_papier_non_papier_tres_dense:0 21032026|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 21032026|pehd_pp, 05102018_papier_non_papier_dense:0 21032026|pehd_pp, 05102018_papier_non_papier_peu_dense:0 21032026|pehd_pp, 05102018_papier_non_papier_presque_vide:0 21032026|pehd_pp, 05102018_papier_non_papier_tres_dense:0 21032026|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 21032026|pet_clair, 05102018_papier_non_papier_dense:0 21032026|pet_clair, 05102018_papier_non_papier_peu_dense:0 21032026|pet_clair, 05102018_papier_non_papier_presque_vide:0 21032026|pet_clair, 05102018_papier_non_papier_tres_dense:0 21032026|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 21032026|refus, 05102018_papier_non_papier_dense:0 21032026|refus, 05102018_papier_non_papier_peu_dense:0 21032026|refus, 05102018_papier_non_papier_presque_vide:0 21032026|refus, 05102018_papier_non_papier_tres_dense:0 21032026|refus, 05102018_papier_non_papier_tres_peu_dense:0 21032026|tapis_vide, 05102018_papier_non_papier_dense:0 21032026|tapis_vide, 05102018_papier_non_papier_peu_dense:0 21032026|tapis_vide, 05102018_papier_non_papier_presque_vide:0 21032026|tapis_vide, 05102018_papier_non_papier_tres_dense:0 21032026|tapis_vide, 05102018_papier_non_papier_tres_peu_dense:0 #Number Photos for regression amount gros magasin papier (time_diff then nb_photo) : We have not displayed the number of photos removed for one material since Rungis_Papier wasn't in the thcl used ! Number amount portfolio for this type of dechet : aluminium 0 Number amount portfolio for this type of dechet : ela 0 Number amount portfolio for this type of dechet : emr 0 Number amount portfolio for this type of dechet : film_pedb 0 Number amount portfolio for this type of dechet : flux_dev 0 Number amount portfolio for this type of dechet : jrm 0 Number amount portfolio for this type of dechet : pcm 0 Number amount portfolio for this type of dechet : pcnc 0 Number amount portfolio for this type of dechet : pehd_pp 0 Number amount portfolio for this type of dechet : pet_clair 0 Number amount portfolio for this type of dechet : refus 0 Number amount portfolio for this type of dechet : tapis_vide 0 NUMBER BATCH : 0 list_ponderation used : [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001] , list_hashtag_class_create_as_list : ['emr', 'gm', 'jrm', 'ela', 'pet_clair', 'film_pedb', 'pehd_pp', 'flux_dev', 'aluminium', 'tapis_vide', 'refus', 'emr', 'gm'] We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.05096101760864258 # DISPLAY ALL COLLECTED DATA : {'21032026': {'nb_upload': 33, 'nb_taggue_class': 32, 'nb_taggue_densite': 32, 'nb_descriptors': 0, 'number_port': 0, 'count_photo_in_port': 0, 'nb_port_per_class': {'aluminium': {'nb_photos': 0, 'nb_portfolios': 0}, 'ela': {'nb_photos': 0, 'nb_portfolios': 0}, 'emr': {'nb_photos': 0, 'nb_portfolios': 0}, 'film_pedb': {'nb_photos': 0, 'nb_portfolios': 0}, 'flux_dev': {'nb_photos': 0, 'nb_portfolios': 0}, 'jrm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcnc': {'nb_photos': 0, 'nb_portfolios': 0}, 'pehd_pp': {'nb_photos': 0, 'nb_portfolios': 0}, 'pet_clair': {'nb_photos': 0, 'nb_portfolios': 0}, 'refus': {'nb_photos': 0, 'nb_portfolios': 0}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 0}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1413235790, 1413235167, 1413234681, 1413234311, 1413232382, 1413230794, 1413230768, 1413229386, 1413226383, 1413226343, 1413226230, 1413224163, 1413223628, 1413223453, 1413221263, 1413220699, 1413220539, 1413220304, 1413218660, 1413218510, 1413218409, 1413218331, 1413215392, 1413215378, 1413215360, 1413215347, 1413214436, 1413212491, 1413212477, 1413212398, 1413207120, 1413207109, 1413207019] Looping around the photos to save general results len do output : 1 /30831642Didn'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 ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413235790', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413235167', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413234681', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413234311', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413232382', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413230794', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413230768', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413229386', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413226383', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413226343', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413226230', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413224163', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413223628', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413223453', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413221263', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413220699', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413220539', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413220304', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413218660', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413218510', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413218409', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413218331', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413215392', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413215378', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413215360', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413215347', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413214436', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413212491', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413212477', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413212398', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413207120', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413207109', None, None, None, None, None, '4365650') ('4891', None, None, None, None, None, None, None, '4365650') ('4891', '30831642', '1413207019', None, None, None, None, None, '4365650') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 34 time used for this insertion : 0.02035355567932129 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.4078183174133301 time spend to save output : 0.020791292190551758 total time spend for step 1 : 0.42860960960388184 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 1.04user 0.51system 0:04.67elapsed 33%CPU (0avgtext+0avgdata 107684maxresident)k 0inputs+48outputs (40major+52040minor)pagefaults 0swaps