$mmoLD;%g?wŷovH0a5*ؒl͛SiyrO7%L]%hk>v1HBd\(e oIx>36BS%( f$h eԎH`ݶ f{FoY@00uMbz-XI$&gf7Ӵu|'K.oP PF.o9B<~.[<٭${1A.bKxL'u8n5e,]HVWw$Cel|zysKi-qݬbk,wnG;~ er͒~' 1`V⦫-*[LK'2@仪n2NƶGi/U'E@`H;J +Jn#6ڴĹGNG'Z!WiNJ@AZ|[$q}iҷQbtTEC$mmoLD;%g?wŷovH0a5*ؒl͛SiyrO7%L]%hk>v1HBd\(e oIx>36BS%( f$h eԎH`ݶ f{FoY@00uMbz-XI$&gf7Ӵu|'K.oP PF.o9B<~.[<٭${1A.bKxL'u8n5e,]HVWw$Cel|zysKi-qݬbk,wnG;~ er͒~' 1`V⦫-*[LK'2@仪n2NƶGi/U'E@`H;J +Jn#6ڴĹGNG'Z!WiNJ@AZ|[$q}iҷQbtTEC$mmoLD;%g?wŷovH0a5*ؒl͛SiyrO7%L]%hk>v1HBd\(e oIx>36BS%( f$h eԎH`ݶ f{FoY@00uMbz-XI$&gf7Ӵu|'K.oP PF.o9B<~.[<٭${1A.bKxL'u8n5e,]HVWw$Cel|zysKi-qݬbk,wnG;~ er͒~' 1`V⦫-*[LK'2@仪n2NƶGi/U'E@`H;J +Jn#6ڴĹGNG'Z!WiNJ@AZ|[$q}iҷQbtTEC$mmoLD;%g?wŷovH0a5*ؒl͛SiyrO7%L]%hk>v1HBd\(e oIx>36BS%( f$h eԎH`ݶ f{FoY@00uMbz-XI$&gf7Ӵu|'K.oP PF.o9B<~.[<٭${1A.bKxL'u8n5e,]HVWw$Cel|zysKi-qݬbk,wnG;~ er͒~' 1`V⦫-*[LK'2@仪n2NƶGi/U'E@`H;J +Jn#6ڴĹGNG'Z!WiNJ@AZ|[$q}iҷQbtTEC$mmoLD;%g?wŷovH0a5*ؒl͛SiyrO7%L]%hk>v1HBd\(e oIx>36BS%( f$h eԎH`ݶ f{FoY@00uMbz-XI$&gf7Ӵu|'K.oP PF.o9B<~.[<٭${1A.bKxL'u8n5e,]HVWw$Cel|zysKi-qݬbk,wnG;~ er͒~' 1`V⦫-*[LK'2@仪n2NƶGi/U'E@`H;J +Jn#6ڴĹGNG'Z!WiNJ@AZ|[$q}iҷQbtTEC$mmoLD;%g?wŷovH0a5*ؒl͛SiyrO7%L]%hk>v1HBd\(e oIx>36BS%( f$h eԎH`ݶ f{FoY@00uMbz-XI$&gf7Ӵu|'K.oP PF.o9B<~.[<٭${1A.bKxL'u8n5e,]HVWw$Cel|zysKi-qݬbk,wnG;~ er͒~' 1`V⦫-*[LK'2@仪n2NƶGi/U'E@`H;J +Jn#6ڴĹGNG'Z!WiNJ@AZ|[$q}iҷQbtTEC$mmoLD;%g?wŷovH0a5*ؒl͛SiyrO7%L]%hk>v1HBd\(e oIx>36BS%( f$h eԎH`ݶ f{FoY@00uMbz-XI$&gf7Ӵu|'K.oP PF.o9B<~.[<٭${1A.bKxL'u8n5e,]HVWw$Cel|zysKi-qݬbk,wnG;~ er͒~' 1`V⦫-*[LK'2@仪n2NƶGi/U'E@`H;J +Jn#6ڴĹGNG'Z!WiNJ@AZ|[$q}iҷQbtTEC$mmoLD;%g?wŷovH0a5*ؒl͛SiyrO7%L]%hk>v1HBd\(e oIx>36BS%( f$h eԎH`ݶ f{FoY@00uMbz-XI$&gf7Ӵu|'K.oP PF.o9B<~.[<٭${1A.bKxL'u8n5e,]HVWw$Cel|zysKi-qݬbk,wnG;~ er͒~' 1`V⦫-*[LK'2@仪n2NƶGi/U'E@`H;J +Jn#6ڴĹGNG'Z!WiNJ@AZ|[$q}iҷQbtTECe': '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', 2),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} 26022025 20820380 Nombre de photos uploadées : 2 / 23040 (0%) 26022025 20820380 Nombre de photos taguées (types de déchets): 0 / 2 (0%) 26022025 20820380 Nombre de photos taguées (volume) : 0 / 2 (0%) elapsed_time : load_data_split_time_score 1.6689300537109375e-06 elapsed_time : order_list_meta_photo_and_scores 5.245208740234375e-06 ?? elapsed_time : fill_and_build_computed_from_old_data 0.0002372264862060547 elapsed_time : insert_dashboard_record_day_entry 0.02367258071899414 Creating list_photo_by_hashtags Hashtag is None Hashtag is None elapsed_time : list_photo_by_hashtags 0.00021386146545410156 photos_removed : len 0 elapsed_time : load_duplicate_info 0.008880376815795898 ***** BEGIN SPLIT TIME ***** True 1740528000.0 `1740524693.009122 1740524400.0 `1740524773.010147 1740524400.0 list printed: [[0, 1]] forced_hashtag: JRM force hashtag to JRM elapsed_time : SPLIT_TIME 0.005048274993896484 ***** END SPLIT TIME ***** NUMBER BATCH : 1 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] We have rejected 2 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.0225832462310791 # DISPLAY ALL COLLECTED DATA : {'26022025': {'nb_upload': 2, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1339621942, 1339621907] Looping around the photos to save general results len do output : 1 /20820380Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('4876', None, None, None, None, None, None, None, '2614197') ('4876', '20820380', '1339621942', None, None, None, None, None, '2614197') ('4876', None, None, None, None, None, None, None, '2614197') ('4876', '20820380', '1339621907', None, None, None, None, None, '2614197') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 3 time used for this insertion : 0.011760950088500977 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.13149094581604004 time spend to save output : 0.01197361946105957 total time spend for step 1 : 0.1434645652770996 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 1.45user 0.76system 0:04.83elapsed 45%CPU (0avgtext+0avgdata 99392maxresident)k 0inputs+16outputs (0major+48302minor)pagefaults 0swaps