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 : 2544808 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 2026-02-28 09:30:29.264635 Current got : datou_id : 4891, datou_cur_ids : ['4354480'] with mtr_portfolio_ids : ['30555925'] and first list_photo_ids : [] new path : /proc/2544808/ 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 : 0.018965482711791992 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Sat Feb 28 09:30:29 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', 4), ('01', 3), ('02', 3), ('03', 4), ('04', 2), ('05', 5), ('06', 3), ('07', 3), ('08', 4), ('09', 2)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 33} 28022026 30555925 Nombre de photos uploadées : 33 / 23040 (0%) 28022026 30555925 Nombre de photos taguées (types de déchets): 33 / 33 (100%) 28022026 30555925 Nombre de photos taguées (volume) : 33 / 33 (100%) elapsed_time : load_data_split_time_score 8.106231689453125e-06 elapsed_time : order_list_meta_photo_and_scores 0.00012993812561035156 elapsed_time : fill_and_build_computed_from_old_data 0.004089832305908203 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.22005724906921387 Creating list_photo_total elapsed_time : select_descriptors 0.006075143814086914 28022026 30555925 Nombre de photos avec descriptors (type 6092) : 0 / 0 (0%) Missing descriptors for photos 0 and 1409947433 0:00:00|ON:Missing descriptors for photos 1409947433 and 1409954435 Missing descriptors for photos 1409954435 and 1409963439 Missing descriptors for photos 1409963439 and 1409970568 Missing descriptors for photos 1409970568 and 1409988310 Missing descriptors for photos 1409988310 and 1409996060 Missing descriptors for photos 1409996060 and 1410003432 Missing descriptors for photos 1410003432 and 1410010866 Missing descriptors for photos 1410010866 and 1410027118 Missing descriptors for photos 1410027118 and 1410035552 Missing descriptors for photos 1410035552 and 1410052770 Missing descriptors for photos 1410052770 and 1410058782 Missing descriptors for photos 1410058782 and 1410067973 Missing descriptors for photos 1410067973 and 1410075979 Missing descriptors for photos 1410075979 and 1410094792 Missing descriptors for photos 1410094792 and 1410107082 Missing descriptors for photos 1410107082 and 1410118286 Missing descriptors for photos 1410118286 and 1410125193 Missing descriptors for photos 1410125193 and 1410132641 Missing descriptors for photos 1410132641 and 1410137298 Missing descriptors for photos 1410137298 and 1410140210 Missing descriptors for photos 1410140210 and 1410159223 Missing descriptors for photos 1410159223 and 1410164391 Missing descriptors for photos 1410164391 and 1410170227 Missing descriptors for photos 1410170227 and 1410175667 Missing descriptors for photos 1410175667 and 1410179023 Missing descriptors for photos 1410179023 and 1410180248 Missing descriptors for photos 1410180248 and 1410180871 Missing descriptors for photos 1410180871 and 1410181341 Missing descriptors for photos 1410181341 and 1410181511 Missing descriptors for photos 1410181511 and 1410181796 Missing descriptors for photos 1410181796 and 1410182596 Missing descriptors for photos 1410182596 and 1410191016 28022026 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 : 0.10764217376708984 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.1404104232788086 Creating list_photo_total elapsed_time : count_sum_diff_and_build_graph 0.0003218650817871094 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 .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 0.0019562244415283203 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 3.0994415283203125e-06 today str has not a value , we define it as the date of the first image todaystr_first : 28022026 attention , prev_timestamp is 0 , we do nothing ********************************Count Time bigger than 30s : 32 #Number Photos for regression : {'28022026': {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}}} 28022026|aluminium, 05102018_papier_non_papier_dense:0 28022026|aluminium, 05102018_papier_non_papier_peu_dense:0 28022026|aluminium, 05102018_papier_non_papier_presque_vide:0 28022026|aluminium, 05102018_papier_non_papier_tres_dense:0 28022026|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 28022026|ela, 05102018_papier_non_papier_dense:0 28022026|ela, 05102018_papier_non_papier_peu_dense:0 28022026|ela, 05102018_papier_non_papier_presque_vide:0 28022026|ela, 05102018_papier_non_papier_tres_dense:0 28022026|ela, 05102018_papier_non_papier_tres_peu_dense:0 28022026|emr, 05102018_papier_non_papier_dense:0 28022026|emr, 05102018_papier_non_papier_peu_dense:0 28022026|emr, 05102018_papier_non_papier_presque_vide:0 28022026|emr, 05102018_papier_non_papier_tres_dense:0 28022026|emr, 05102018_papier_non_papier_tres_peu_dense:0 28022026|film_pedb, 05102018_papier_non_papier_dense:0 28022026|film_pedb, 05102018_papier_non_papier_peu_dense:0 28022026|film_pedb, 05102018_papier_non_papier_presque_vide:0 28022026|film_pedb, 05102018_papier_non_papier_tres_dense:0 28022026|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 28022026|flux_dev, 05102018_papier_non_papier_dense:0 28022026|flux_dev, 05102018_papier_non_papier_peu_dense:0 28022026|flux_dev, 05102018_papier_non_papier_presque_vide:0 28022026|flux_dev, 05102018_papier_non_papier_tres_dense:0 28022026|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 28022026|jrm, 05102018_papier_non_papier_dense:0 28022026|jrm, 05102018_papier_non_papier_peu_dense:0 28022026|jrm, 05102018_papier_non_papier_presque_vide:0 28022026|jrm, 05102018_papier_non_papier_tres_dense:0 28022026|jrm, 05102018_papier_non_papier_tres_peu_dense:0 28022026|pcm, 05102018_papier_non_papier_dense:0 28022026|pcm, 05102018_papier_non_papier_peu_dense:0 28022026|pcm, 05102018_papier_non_papier_presque_vide:0 28022026|pcm, 05102018_papier_non_papier_tres_dense:0 28022026|pcm, 05102018_papier_non_papier_tres_peu_dense:0 28022026|pcnc, 05102018_papier_non_papier_dense:0 28022026|pcnc, 05102018_papier_non_papier_peu_dense:0 28022026|pcnc, 05102018_papier_non_papier_presque_vide:0 28022026|pcnc, 05102018_papier_non_papier_tres_dense:0 28022026|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 28022026|pehd_pp, 05102018_papier_non_papier_dense:0 28022026|pehd_pp, 05102018_papier_non_papier_peu_dense:0 28022026|pehd_pp, 05102018_papier_non_papier_presque_vide:0 28022026|pehd_pp, 05102018_papier_non_papier_tres_dense:0 28022026|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 28022026|pet_clair, 05102018_papier_non_papier_dense:0 28022026|pet_clair, 05102018_papier_non_papier_peu_dense:0 28022026|pet_clair, 05102018_papier_non_papier_presque_vide:0 28022026|pet_clair, 05102018_papier_non_papier_tres_dense:0 28022026|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 28022026|refus, 05102018_papier_non_papier_dense:0 28022026|refus, 05102018_papier_non_papier_peu_dense:0 28022026|refus, 05102018_papier_non_papier_presque_vide:0 28022026|refus, 05102018_papier_non_papier_tres_dense:0 28022026|refus, 05102018_papier_non_papier_tres_peu_dense:0 28022026|tapis_vide, 05102018_papier_non_papier_dense:0 28022026|tapis_vide, 05102018_papier_non_papier_peu_dense:0 28022026|tapis_vide, 05102018_papier_non_papier_presque_vide:0 28022026|tapis_vide, 05102018_papier_non_papier_tres_dense:0 28022026|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 0.0561215877532959 # DISPLAY ALL COLLECTED DATA : {'28022026': {'nb_upload': 33, 'nb_taggue_class': 33, 'nb_taggue_densite': 33, '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 [1410191016, 1410182596, 1410181796, 1410181511, 1410181341, 1410180871, 1410180248, 1410179023, 1410175667, 1410170227, 1410164391, 1410159223, 1410140210, 1410137298, 1410132641, 1410125193, 1410118286, 1410107082, 1410094792, 1410075979, 1410067973, 1410058782, 1410052770, 1410035552, 1410027118, 1410010866, 1410003432, 1409996060, 1409988310, 1409970568, 1409963439, 1409954435, 1409947433] Looping around the photos to save general results len do output : 1 /30555925Didn'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, '4354480') ('4891', '30555925', '1410191016', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410182596', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410181796', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410181511', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410181341', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410180871', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410180248', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410179023', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410175667', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410170227', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410164391', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410159223', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410140210', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410137298', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410132641', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410125193', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410118286', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410107082', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410094792', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410075979', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410067973', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410058782', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410052770', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410035552', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410027118', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410010866', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1410003432', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1409996060', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1409988310', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1409970568', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1409963439', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1409954435', None, None, None, None, None, '4354480') ('4891', None, None, None, None, None, None, None, '4354480') ('4891', '30555925', '1409947433', None, None, None, None, None, '4354480') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 34 time used for this insertion : 0.02312326431274414 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.5460388660430908 time spend to save output : 0.02354574203491211 total time spend for step 1 : 0.5695846080780029 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 1.13user 0.54system 0:03.72elapsed 45%CPU (0avgtext+0avgdata 106772maxresident)k 2352inputs+48outputs (0major+51903minor)pagefaults 0swaps