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 : 2408737 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 list_input_json: {} Current got : datou_id : 4876, datou_cur_ids : ['2742594'] with mtr_portfolio_ids : ['22246422'] and first list_photo_ids : [] new path : /proc/2408737/ 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 : 0.06741213798522949 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri Apr 11 07:56:29 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'}] (('00', 15), ('01', 8), ('02', 13), ('03', 15), ('04', 8), ('05', 159), ('06', 222), ('07', 197)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 507} 11042025 22246422 Nombre de photos uploadées : 439 / 23040 (1%) 11042025 22246422 Nombre de photos taguées (types de déchets): 507 / 439 (115%) 11042025 22246422 Nombre de photos taguées (volume) : 507 / 439 (115%) elapsed_time : load_data_split_time_score 2.1457672119140625e-06 elapsed_time : order_list_meta_photo_and_scores 0.00021195411682128906 ???????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.018802404403686523 elapsed_time : insert_dashboard_record_day_entry 0.02602362632751465 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 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 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 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 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 Hashtag is None elapsed_time : list_photo_by_hashtags 0.013508319854736328 photos_removed : len 0 elapsed_time : load_duplicate_info 0.05991387367248535 ***** BEGIN SPLIT TIME ***** 1744329600.0 `1744343754.01014 1744343100.0 `1744343765.010154 1744343100.0 `1744343784.010138 1744343100.0 `1744343794.010136 1744343100.0 `1744343804.010134 1744343100.0 `1744343814.010134 1744343100.0 `1744343824.010163 1744343100.0 `1744343835.010136 1744343100.0 `1744343844.009125 1744343100.0 `1744343884.010142 1744343100.0 `1744343894.010133 1744343100.0 `1744343904.010133 1744343100.0 `1744343914.009128 1744343100.0 `1744343924.010141 1744343100.0 `1744343934.010138 1744343100.0 `1744343955.011003 1744343100.0 `1744343964.009131 1744343100.0 `1744343974.010138 1744343100.0 `1744343984.010139 1744343100.0 `1744343994.010137 1744343100.0 `1744344004.010145 1744344000.0 `1744344014.010138 1744344000.0 `1744344044.010135 1744344000.0 `1744344054.010134 1744344000.0 `1744344064.010141 1744344000.0 `1744344074.010134 1744344000.0 `1744344084.010135 1744344000.0 `1744344094.010135 1744344000.0 `1744344104.009124 1744344000.0 `1744344114.010139 1744344000.0 `1744344124.010158 1744344000.0 `1744344134.010137 1744344000.0 `1744344144.010136 1744344000.0 `1744344154.010136 1744344000.0 `1744344164.010135 1744344000.0 `1744344174.009127 1744344000.0 `1744344184.010139 1744344000.0 `1744344194.010137 1744344000.0 `1744344204.010139 1744344000.0 `1744344214.010137 1744344000.0 `1744344245.010157 1744344000.0 `1744344254.009125 1744344000.0 `1744344264.010134 1744344000.0 `1744344274.010147 1744344000.0 `1744344284.010141 1744344000.0 `1744344294.010139 1744344000.0 `1744344304.010194 1744344000.0 `1744344314.009128 1744344000.0 `1744344324.010142 1744344000.0 `1744344334.010134 1744344000.0 `1744344344.010162 1744344000.0 `1744344364.010143 1744344000.0 `1744344374.010138 1744344000.0 `1744344385.010135 1744344000.0 `1744344394.009123 1744344000.0 `1744344404.010136 1744344000.0 `1744344414.010134 1744344000.0 `1744344444.010134 1744344000.0 `1744344455.010132 1744344000.0 `1744344464.009124 1744344000.0 `1744344474.010144 1744344000.0 `1744344484.010138 1744344000.0 `1744344494.010139 1744344000.0 `1744344504.010135 1744344000.0 `1744344514.010135 1744344000.0 `1744344524.010138 1744344000.0 `1744344554.010135 1744344000.0 `1744344564.010136 1744344000.0 `1744344574.010135 1744344000.0 `1744344584.010135 1744344000.0 `1744344594.010135 1744344000.0 `1744344634.010132 1744344000.0 `1744344644.010134 1744344000.0 `1744344774.010136 1744344000.0 `1744344784.010149 1744344000.0 `1744344794.010133 1744344000.0 `1744344804.010138 1744344000.0 `1744344824.009131 1744344000.0 `1744344834.010135 1744344000.0 `1744344854.010136 1744344000.0 `1744344874.010133 1744344000.0 `1744344884.010141 1744344000.0 `1744344914.010137 1744344900.0 `1744344934.010134 1744344900.0 `1744344954.010136 1744344900.0 `1744344965.010139 1744344900.0 `1744345004.010146 1744344900.0 `1744345014.010134 1744344900.0 `1744345054.01014 1744344900.0 `1744345064.010139 1744344900.0 `1744345074.010139 1744344900.0 `1744345084.010143 1744344900.0 `1744345094.010135 1744344900.0 `1744345105.010134 1744344900.0 `1744345114.009128 1744344900.0 `1744345124.01015 1744344900.0 `1744345134.010137 1744344900.0 `1744345144.010138 1744344900.0 `1744345154.010133 1744344900.0 `1744345164.010135 1744344900.0 `1744345174.010138 1744344900.0 `1744345204.010151 1744344900.0 `1744345214.010137 1744344900.0 `1744345224.010134 1744344900.0 `1744345234.01014 1744344900.0 `1744345244.010142 1744344900.0 `1744345255.010138 1744344900.0 `1744345264.009148 1744344900.0 `1744345274.010135 1744344900.0 `1744345284.010135 1744344900.0 `1744345294.010134 1744344900.0 `1744345304.010134 1744344900.0 `1744345314.010137 1744344900.0 `1744345325.010148 1744344900.0 `1744345344.010135 1744344900.0 `1744345354.010133 1744344900.0 `1744345394.010134 1744344900.0 `1744345404.009122 1744344900.0 `1744345414.010145 1744344900.0 `1744345424.01014 1744344900.0 `1744345444.010155 1744344900.0 `1744345454.010138 1744344900.0 `1744345464.010138 1744344900.0 `1744345474.009136 1744344900.0 `1744345484.01014 1744344900.0 `1744345494.010137 1744344900.0 `1744345514.010135 1744344900.0 `1744345534.010135 1744344900.0 `1744345554.009126 1744344900.0 `1744345564.010149 1744344900.0 `1744345574.010139 1744344900.0 `1744345584.010133 1744344900.0 `1744345604.010139 1744344900.0 `1744345615.010133 1744344900.0 `1744345624.009138 1744344900.0 `1744345634.010142 1744344900.0 `1744345644.010136 1744344900.0 `1744345654.010135 1744344900.0 `1744345664.010141 1744344900.0 `1744345685.01014 1744344900.0 `1744345694.009125 1744344900.0 `1744345704.010136 1744344900.0 `1744345714.010135 1744344900.0 `1744345724.010135 1744344900.0 `1744345734.010135 1744344900.0 `1744345744.010152 1744344900.0 `1744345754.010138 1744344900.0 `1744345784.010135 1744344900.0 `1744345794.010137 1744344900.0 `1744345804.01015 1744345800.0 `1744345814.010135 1744345800.0 `1744345835.010141 1744345800.0 `1744345844.009126 1744345800.0 `1744345864.010154 1744345800.0 `1744345884.010136 1744345800.0 `1744345894.010135 1744345800.0 `1744345905.010136 1744345800.0 `1744345924.010154 1744345800.0 `1744345934.01014 1744345800.0 `1744345944.010136 1744345800.0 `1744345954.010136 1744345800.0 `1744345964.010136 1744345800.0 `1744345974.010138 1744345800.0 `1744345994.01014 1744345800.0 `1744346004.010135 1744345800.0 `1744346044.01014 1744345800.0 `1744346064.010133 1744345800.0 `1744346084.010138 1744345800.0 `1744346125.010135 1744345800.0 `1744346174.010137 1744345800.0 `1744346184.010138 1744345800.0 `1744346214.01014 1744345800.0 `1744346224.010148 1744345800.0 `1744346234.01014 1744345800.0 `1744346244.010137 1744345800.0 `1744346265.01014 1744345800.0 `1744346274.009126 1744345800.0 `1744346284.010139 1744345800.0 `1744346294.010138 1744345800.0 `1744346304.010134 1744345800.0 `1744346314.010134 1744345800.0 `1744346344.009141 1744345800.0 `1744346354.010139 1744345800.0 `1744346364.01014 1744345800.0 `1744346374.010138 1744345800.0 `1744346384.010139 1744345800.0 `1744346394.010141 1744345800.0 `1744346404.010141 1744345800.0 `1744346414.009132 1744345800.0 `1744346424.010136 1744345800.0 `1744346444.010134 1744345800.0 `1744346454.010135 1744345800.0 `1744346464.010135 1744345800.0 `1744346494.009123 1744345800.0 `1744346504.010134 1744345800.0 `1744346514.010136 1744345800.0 `1744346524.010147 1744345800.0 `1744346534.010139 1744345800.0 `1744346544.010134 1744345800.0 `1744346554.010135 1744345800.0 `1744346564.009126 1744345800.0 `1744346574.010135 1744345800.0 `1744346584.010163 1744345800.0 `1744346594.010137 1744345800.0 `1744346604.010133 1744345800.0 `1744346635.010135 1744345800.0 `1744346644.009139 1744345800.0 `1744346654.010136 1744345800.0 `1744346664.010136 1744345800.0 `1744346674.010136 1744345800.0 `1744346684.010136 1744345800.0 `1744346694.010137 1744345800.0 `1744346705.010153 1744346700.0 `1744346714.009128 1744346700.0 `1744346724.010136 1744346700.0 `1744346734.010137 1744346700.0 `1744346775.010135 1744346700.0 `1744346784.009127 1744346700.0 `1744346794.010242 1744346700.0 `1744346804.010141 1744346700.0 `1744346814.01014 1744346700.0 `1744346824.010154 1744346700.0 `1744346834.010139 1744346700.0 `1744346844.009125 1744346700.0 `1744346854.010134 1744346700.0 `1744346884.01015 1744346700.0 `1744346915.010137 1744346700.0 `1744346924.00913 1744346700.0 `1744347164.010136 1744346700.0 `1744347334.010142 1744346700.0 `1744347454.010139 1744346700.0 `1744347464.010137 1744346700.0 `1744347484.010145 1744346700.0 `1744347494.009124 1744346700.0 `1744347514.010145 1744346700.0 `1744347524.010137 1744346700.0 `1744347534.010135 1744346700.0 `1744347554.011005 1744346700.0 `1744347563.009129 1744346700.0 `1744347573.010136 1744346700.0 `1744347583.010136 1744346700.0 `1744347594.010137 1744346700.0 `1744347604.010148 1744347600.0 `1744347624.010136 1744347600.0 `1744347633.009123 1744347600.0 `1744347684.009844 1744347600.0 `1744347694.010134 1744347600.0 `1744347704.010136 1744347600.0 `1744347714.010137 1744347600.0 `1744347723.00914 1744347600.0 `1744347733.01014 1744347600.0 `1744347743.010138 1744347600.0 `1744347754.010135 1744347600.0 `1744347764.010136 1744347600.0 `1744347774.010171 1744347600.0 `1744347784.010144 1744347600.0 `1744347793.009128 1744347600.0 `1744347803.010134 1744347600.0 `1744347813.010135 1744347600.0 `1744347824.010136 1744347600.0 `1744347844.01014 1744347600.0 `1744347854.010135 1744347600.0 `1744347893.010136 1744347600.0 `1744347904.010146 1744347600.0 `1744347914.010134 1744347600.0 `1744347924.010137 1744347600.0 `1744347934.010138 1744347600.0 `1744347943.00925 1744347600.0 `1744347953.01014 1744347600.0 `1744347964.010148 1744347600.0 `1744347974.010143 1744347600.0 `1744347984.010135 1744347600.0 `1744347994.010138 1744347600.0 `1744348003.009125 1744347600.0 `1744348034.010138 1744347600.0 `1744348044.010142 1744347600.0 `1744348054.010136 1744347600.0 `1744348064.010139 1744347600.0 `1744348074.01014 1744347600.0 `1744348093.01014 1744347600.0 `1744348114.010135 1744347600.0 `1744348134.010138 1744347600.0 `1744348144.010142 1744347600.0 `1744348303.010143 1744347600.0 `1744348313.010138 1744347600.0 `1744348354.010135 1744347600.0 `1744348363.009126 1744347600.0 `1744348383.010151 1744347600.0 `1744348394.010136 1744347600.0 `1744348414.010138 1744347600.0 `1744348554.010137 1744348500.0 `1744348564.010151 1744348500.0 `1744348583.009124 1744348500.0 `1744348593.010148 1744348500.0 `1744348624.010158 1744348500.0 `1744348663.010139 1744348500.0 `1744348704.010136 1744348500.0 `1744348714.010146 1744348500.0 `1744348774.010149 1744348500.0 `1744348793.009126 1744348500.0 `1744348854.010138 1744348500.0 `1744348863.009147 1744348500.0 `1744348914.010134 1744348500.0 `1744348933.009125 1744348500.0 `1744348943.010133 1744348500.0 `1744348953.010132 1744348500.0 `1744348964.010138 1744348500.0 `1744348974.010135 1744348500.0 `1744348984.010151 1744348500.0 `1744348994.010137 1744348500.0 `1744349023.010139 1744348500.0 `1744349033.010139 1744348500.0 `1744349044.010163 1744348500.0 `1744349054.010136 1744348500.0 `1744349064.010135 1744348500.0 `1744349074.01014 1744348500.0 `1744349083.009127 1744348500.0 `1744349093.010137 1744348500.0 `1744349103.010145 1744348500.0 `1744349114.010134 1744348500.0 `1744349134.010138 1744348500.0 `1744349144.010135 1744348500.0 `1744349153.009124 1744348500.0 `1744349163.010141 1744348500.0 `1744349173.010139 1744348500.0 `1744349184.010137 1744348500.0 `1744349194.010136 1744348500.0 `1744349214.010137 1744348500.0 `1744349223.009145 1744348500.0 `1744349233.010139 1744348500.0 `1744349243.010142 1744348500.0 `1744349254.010135 1744348500.0 `1744349264.010135 1744348500.0 `1744349294.010134 1744348500.0 `1744349303.009122 1744348500.0 `1744349364.010133 1744348500.0 `1744349373.009128 1744348500.0 `1744349393.010137 1744348500.0 `1744349424.010133 1744349400.0 `1744349434.010138 1744349400.0 `1744349463.010139 1744349400.0 `1744349474.010137 1744349400.0 `1744349484.010139 1744349400.0 `1744349504.010138 1744349400.0 `1744349514.010137 1744349400.0 `1744349533.01014 1744349400.0 `1744349544.010135 1744349400.0 `1744349554.010136 1744349400.0 `1744349564.010135 1744349400.0 `1744349574.010136 1744349400.0 `1744349584.010169 1744349400.0 `1744349593.009127 1744349400.0 `1744349624.010137 1744349400.0 `1744349634.010136 1744349400.0 `1744349644.010153 1744349400.0 `1744349654.010149 1744349400.0 `1744349663.009127 1744349400.0 `1744349673.010139 1744349400.0 `1744349683.010143 1744349400.0 `1744349694.010141 1744349400.0 `1744349704.010163 1744349400.0 `1744349714.010143 1744349400.0 `1744349743.010137 1744349400.0 `1744349753.010139 1744349400.0 `1744349764.010146 1744349400.0 `1744349774.010142 1744349400.0 `1744349784.010138 1744349400.0 `1744349794.010137 1744349400.0 `1744349803.009125 1744349400.0 `1744349813.010136 1744349400.0 `1744349823.010151 1744349400.0 `1744349834.010137 1744349400.0 `1744349844.010138 1744349400.0 `1744349854.010136 1744349400.0 `1744349883.010165 1744349400.0 `1744349893.010136 1744349400.0 `1744349904.010132 1744349400.0 `1744349914.010134 1744349400.0 `1744349924.010137 1744349400.0 `1744349934.010137 1744349400.0 `1744349943.00914 1744349400.0 `1744349953.010138 1744349400.0 `1744349963.01014 1744349400.0 `1744349974.010136 1744349400.0 `1744349984.010135 1744349400.0 `1744349994.010135 1744349400.0 `1744350004.010159 1744349400.0 `1744350043.010137 1744349400.0 `1744350064.010152 1744349400.0 `1744350084.010133 1744349400.0 `1744350103.010143 1744349400.0 `1744350124.010208 1744349400.0 `1744350134.010144 1744349400.0 `1744350144.010137 1744349400.0 `1744350154.010143 1744349400.0 `1744350163.009125 1744349400.0 `1744350173.01014 1744349400.0 `1744350183.010138 1744349400.0 `1744350204.010141 1744349400.0 `1744350214.010144 1744349400.0 `1744350224.010135 1744349400.0 `1744350233.009126 1744349400.0 `1744350243.010141 1744349400.0 `1744350253.01014 1744349400.0 `1744350294.010142 1744349400.0 `1744350484.010145 1744350300.0 `1744350494.010138 1744350300.0 `1744350504.010135 1744350300.0 `1744350513.009127 1744350300.0 `1744350523.010142 1744350300.0 `1744350533.010137 1744350300.0 `1744350544.010153 1744350300.0 `1744350554.010135 1744350300.0 `1744350564.010135 1744350300.0 `1744350574.010133 1744350300.0 `1744350584.010135 1744350300.0 `1744350593.009133 1744350300.0 `1744350603.010153 1744350300.0 `1744350613.010139 1744350300.0 `1744350644.010136 1744350300.0 `1744350654.010135 1744350300.0 `1744350663.009147 1744350300.0 `1744350673.01014 1744350300.0 `1744350683.010142 1744350300.0 `1744350694.010141 1744350300.0 `1744350714.010137 1744350300.0 `1744350724.010147 1744350300.0 `1744350733.009127 1744350300.0 `1744350743.010135 1744350300.0 `1744350753.010134 1744350300.0 `1744350764.010138 1744350300.0 `1744350774.010138 1744350300.0 `1744350823.010135 1744350300.0 `1744350834.010138 1744350300.0 `1744350844.010157 1744350300.0 `1744350854.010142 1744350300.0 `1744350864.010139 1744350300.0 `1744350873.009136 1744350300.0 `1744350883.01015 1744350300.0 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, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81], [82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148], [149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211], [212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241], [242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289], [290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337], [338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404], [405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.017736196517944336 ***** END SPLIT TIME ***** NUMBER BATCH : 9 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': '11042025', 'map_nb_amount': {0: 1, 1: 19, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 239.99999713897705, 'nb_balles_papier': 0.0002, 'begin_time_port': 'image_11042025_05_55_54_010140m0.jpg 5e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0002 We reject this portfolio because of the condition_save_data : 2025-04-11 05:55:54.010140 ERROR missing amount info result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 7, 1: 49, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 879.9999959468842, 'nb_balles_papier': 0.000610000000000001, 'begin_time_port': 'image_11042025_06_00_04_010145m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.000610000000000001 We reject this portfolio because of the condition_save_data : 2025-04-11 06:00:04.010145 result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 3, 1: 56, 2: 7, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 880.0, 'nb_balles_papier': 0.0006700000000000011, 'begin_time_port': 'image_11042025_06_15_14_010137m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0006700000000000011 We reject this portfolio because of the condition_save_data : 2025-04-11 06:15:14.010137 ERROR missing amount info result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 5, 1: 49, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 889.9999871253967, 'nb_balles_papier': 0.000620000000000001, 'begin_time_port': 'image_11042025_06_30_04_010150m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.000620000000000001 We reject this portfolio because of the condition_save_data : 2025-04-11 06:30:04.010150 ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 1, 1: 22, 2: 5, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 888.9999840259552, 'nb_balles_papier': 0.0002800000000000001, 'begin_time_port': 'image_11042025_06_45_05_010153m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0002800000000000001 We reject this portfolio because of the condition_save_data : 2025-04-11 06:45:05.010153 ERROR missing amount info result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 3, 1: 33, 2: 11, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 809.9999899864197, 'nb_balles_papier': 0.0004700000000000006, 'begin_time_port': 'image_11042025_07_00_04_010148m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0004700000000000006 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 3, 1: 23, 2: 7, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 839.0, 'nb_balles_papier': 0.0003300000000000002, 'begin_time_port': 'image_11042025_07_15_54_10137.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0003300000000000002 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 3, 1: 22, 2: 11, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 870.000009059906, 'nb_balles_papier': 0.0003600000000000003, 'begin_time_port': 'image_11042025_07_30_24_010133m0.jpg 1e-05 for time 1, id_amount 3 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0003600000000000003 ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info ERROR missing amount info result_one_balle_Type_JRM:{'day': '11042025', 'map_nb_amount': {0: 0, 1: 8, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 399.00000500679016, 'nb_balles_papier': 9e-05, 'begin_time_port': 'image_11042025_07_48_04_10145.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 9e-05 We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 4 Still a lot to verify ! Still a lot to verify ! Still a lot to verify ! We need to add photos : {1351496449, 1351496435, 1351496438, 1351496441, 1351496443, 1351496446} Still a lot to verify ! Qualite : 0.05593091374692898 We don't need to reset the datou_current for this portfolio, que ce soit dans le cas ou il est fini (et found_correct devrait etre vrai, ou dans le cas ou il n'est pas fini, mais du coup on le retrouvera et mettra simplement à jour) # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type of output 1 of step 13625 doesn't seem to be define in the database( WARNING : type of input 5 of step 11884 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22254301 AND mptpi.`type`=3726 To do Qualite : 0.060143392302330116 We don't need to reset the datou_current for this portfolio, que ce soit dans le cas ou il est fini (et found_correct devrait etre vrai, ou dans le cas ou il n'est pas fini, mais du coup on le retrouvera et mettra simplement à jour) # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type of output 1 of step 13625 doesn't seem to be define in the database( WARNING : type of input 5 of step 11884 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22255333 AND mptpi.`type`=3726 To do Qualite : 0.056899860998053525 We don't need to reset the datou_current for this portfolio, que ce soit dans le cas ou il est fini (et found_correct devrait etre vrai, ou dans le cas ou il n'est pas fini, mais du coup on le retrouvera et mettra simplement à jour) # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type of output 1 of step 13625 doesn't seem to be define in the database( WARNING : type of input 5 of step 11884 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22255996 AND mptpi.`type`=3726 To do Qualite : 0.05074229276684469 Since we have set only the same portfolio in list_same_port_ids, it means the datou_current is finished and we need to re-insert it with the same id to finish the job (if we added new photos to the portfolio) We may have found the correct datou result for the same portfolio, but we will rerun it, since the portfolio may have been updated ! This function is not protected ! # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 13596 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11881 final have less inputs used (1) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11881 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13625 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 11884 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 3 of step 11884 have datatype=6 WARNING : type of output 1 of step 13596 doesn't seem to be define in the database( WARNING : type of input 3 of step 11881 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 13596 have datatype=10 whereas input 0 of step 13625 have datatype=18 WARNING : type of output 1 of step 13625 doesn't seem to be define in the database( WARNING : type of input 5 of step 11884 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=22256877 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 3.389615535736084 # DISPLAY ALL COLLECTED DATA : {'11042025': {'nb_upload': 439, 'nb_taggue_class': 507, 'nb_taggue_densite': 507}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1351496449, 1351496446, 1351496443, 1351496441, 1351496438, 1351496435, 1351496385, 1351496382, 1351496297, 1351496288, 1351496283, 1351496278, 1351496277, 1351496272, 1351496230, 1351496220, 1351496211, 1351496207, 1351496199, 1351495830, 1351495808, 1351495778, 1351495760, 1351495642, 1351495625, 1351495610, 1351495586, 1351495582, 1351495575, 1351495499, 1351495494, 1351495489, 1351495476, 1351495464, 1351495453, 1351494956, 1351494876, 1351494838, 1351494612, 1351494605, 1351494562, 1351494546, 1351494533, 1351494374, 1351494359, 1351494354, 1351494351, 1351494347, 1351494342, 1351494255, 1351494215, 1351494210, 1351494138, 1351494136, 1351493946, 1351493920, 1351493884, 1351493863, 1351493860, 1351493857, 1351493804, 1351493793, 1351493775, 1351493755, 1351493746, 1351493722, 1351493564, 1351493560, 1351493554, 1351493536, 1351493480, 1351493474, 1351493471, 1351493451, 1351493445, 1351493431, 1351493331, 1351493307, 1351493234, 1351493200, 1351493040, 1351493032, 1351493001, 1351492957, 1351492934, 1351492921, 1351492785, 1351492782, 1351492779, 1351492751, 1351492638, 1351492634, 1351492630, 1351492615, 1351492612, 1351492586, 1351492582, 1351492575, 1351492571, 1351492562] Looping around the photos to save general results len do output : 1 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'2742594') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.02608323097229004 save_final save missing photos in datou_result : time spend for datou_step_exec : 3.662414789199829 time spend to save output : 0.026969432830810547 total time spend for step 1 : 3.6893842220306396 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 1.28user 0.74system 0:06.85elapsed 29%CPU (0avgtext+0avgdata 100628maxresident)k 0inputs+120outputs (29major+49074minor)pagefaults 0swaps