python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4189' -s datou_current_4189 -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 : 3424249 load datou : 4189 # 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 : 4189, datou_cur_ids : ['2875936'] with mtr_portfolio_ids : ['23055747'] and first list_photo_ids : [] new path : /proc/3424249/ 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 : 0.01622772216796875 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri May 16 10:30:28 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'}] (('10', 18),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} L16052025 23055747 Nombre de photos uploadées : 18 / 23040 (0%) 16052025 23055747 Nombre de photos taguées (types de déchets): 0 / 18 (0%) 16052025 23055747 Nombre de photos taguées (volume) : 0 / 18 (0%) elapsed_time : load_data_split_time_score 5.4836273193359375e-06 elapsed_time : order_list_meta_photo_and_scores 1.239776611328125e-05 LLLLLLLLLLLLLLLLLL?????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0009768009185791016 L elapsed_time : insert_dashboard_record_day_entry 0.02782893180847168 LLLLLLLLLLLLLLLLLLL 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 elapsed_time : list_photo_by_hashtags 0.0005049705505371094 Creating list_photo_total elapsed_time : select_descriptors 0.008700847625732422 16052025 23055747 Nombre de photos avec descriptors (type 5680) : 0 / 18 (0%) Missing descriptors for photos 0 and 1358886765 L0:00:00|ON:Missing descriptors for photos 1358886765 and 1358886805 LMissing descriptors for photos 1358886805 and 1358886854 LMissing descriptors for photos 1358886854 and 1358886897 LMissing descriptors for photos 1358886897 and 1358886940 LMissing descriptors for photos 1358886940 and 1358886984 LMissing descriptors for photos 1358886984 and 1358889434 LMissing descriptors for photos 1358889434 and 1358889467 LMissing descriptors for photos 1358889467 and 1358889505 LMissing descriptors for photos 1358889505 and 1358889545 LMissing descriptors for photos 1358889545 and 1358889562 LMissing descriptors for photos 1358889562 and 1358889567 LMissing descriptors for photos 1358889567 and 1358890967 LMissing descriptors for photos 1358890967 and 1358890991 LMissing descriptors for photos 1358890991 and 1358891182 LMissing descriptors for photos 1358891182 and 1358891366 LMissing descriptors for photos 1358891366 and 1358891457 LMissing descriptors for photos 1358891457 and 1358891464 L 16052025 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 : 18 time used for this insertion : 0.12932610511779785 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.15210366249084473 To do, maybe not at the correct place ! .L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.L.Lforce hashtag to JRM elapsed_time : CREATE_PORT_BATCH_BY_HOUR 0.005185604095458984 NUMBER BATCH : 1 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] LLLLLLLLLLLLLLLLLLLWe filter photos on hashtag condition ! 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 0.025258302688598633 # DISPLAY ALL COLLECTED DATA : {'16052025': {'nb_upload': 18, 'nb_taggue_class': 0, 'nb_taggue_densite': 0, 'nb_descriptors': 0}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1358891464, 1358891457, 1358891366, 1358891182, 1358890991, 1358890967, 1358889567, 1358889562, 1358889545, 1358889505, 1358889467, 1358889434, 1358886984, 1358886940, 1358886897, 1358886854, 1358886805, 1358886765] Looping around the photos to save general results len do output : 1 /23055747Didn'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 ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358891464', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358891457', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358891366', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358891182', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358890991', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358890967', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358889567', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358889562', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358889545', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358889505', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358889467', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358889434', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358886984', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358886940', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358886897', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358886854', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358886805', None, None, None, None, None, '2875936') ('4189', None, None, None, None, None, None, None, '2875936') ('4189', '23055747', '1358886765', None, None, None, None, None, '2875936') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 19 time used for this insertion : 0.23108410835266113 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.31333398818969727 time spend to save output : 0.2315516471862793 total time spend for step 1 : 0.5448856353759766 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 1.72user 0.62system 0:03.91elapsed 59%CPU (0avgtext+0avgdata 99584maxresident)k 104inputs+32outputs (3major+48957minor)pagefaults 0swaps