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 : 956130 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 : ['2623861'] with mtr_portfolio_ids : ['20920596'] and first list_photo_ids : [] new path : /proc/956130/ 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 : 0.02368783950805664 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Fri Feb 28 13:30:29 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'}] (('10', 179),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 152} 28022025 20920596 Nombre de photos uploadées : 179 / 23040 (0%) 28022025 20920596 Nombre de photos taguées (types de déchets): 152 / 179 (84%) 28022025 20920596 Nombre de photos taguées (volume) : 152 / 179 (84%) elapsed_time : load_data_split_time_score 2.86102294921875e-06 elapsed_time : order_list_meta_photo_and_scores 7.104873657226562e-05 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL??????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.00954747200012207 elapsed_time : insert_dashboard_record_day_entry 0.023468494415283203 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL 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 elapsed_time : list_photo_by_hashtags 0.026639461517333984 Creating list_photo_total elapsed_time : select_descriptors 8.498894453048706 28022025 20920596 Nombre de photos avec descriptors (type 5680) : 121 / 148 (81%) ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1340111474 photo_id_prec : 0 0:00:00|ON:0:02:59.566155|OFF:0:00:00|ON:LMissing descriptors for photos 1340121282 and 1340121289 LMissing descriptors for photos 1340121289 and 1340121297 LLMissing descriptors for photos 1340121981 and 1340121992 LMissing descriptors for photos 1340121992 and 1340122000 LMissing descriptors for photos 1340122000 and 1340122004 LMissing descriptors for photos 1340122004 and 1340122008 LLLL0:06:59.676499|OFF:L0:00:00|ON:LLMissing descriptors for photos 1340123964 and 1340123965 LLL0:01:00.948864|OFF:L0:00:59.891657|ON:LMissing descriptors for photos 1340125210 and 1340125216 LMissing descriptors for photos 1340125216 and 1340125220 LMissing descriptors for photos 1340125220 and 1340125233 LMissing descriptors for photos 1340125233 and 1340125710 LLLL0:00:59.862790|OFF:L0:00:00|ON:Missing descriptors for photos 1340125733 and 1340126261 LLMissing descriptors for photos 1340126285 and 1340126292 LMissing descriptors for photos 1340126292 and 1340126301 LMissing descriptors for photos 1340126301 and 1340126309 LLMissing descriptors for photos 1340128034 and 1340128049 LMissing descriptors for photos 1340128049 and 1340128055 LMissing descriptors for photos 1340128055 and 1340128061 LMissing descriptors for photos 1340128061 and 1340128064 LERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1340134944 photo_id_prec : 1340134835 LMissing descriptors for photos 1340134944 and 1340134945 LMissing descriptors for photos 1340134945 and 1340134952 LMissing descriptors for photos 1340134952 and 1340137321 LMissing descriptors for photos 1340137321 and 1340137587 LMissing descriptors for photos 1340137587 and 1340137596 LMissing descriptors for photos 1340137596 and 1340137600 LMissing descriptors for photos 1340137600 and 1340137668 LMissing descriptors for photos 1340137668 and 1340137672 LMissing descriptors for photos 1340137672 and 1340138353 LMissing descriptors for photos 1340138353 and 1340138357 LMissing descriptors for photos 1340138357 and 1340138360 LMissing descriptors for photos 1340138360 and 1340138366 LMissing descriptors for photos 1340138366 and 1340138370 LMissing descriptors for photos 1340138370 and 1340138374 LMissing descriptors for photos 1340138374 and 1340138621 LMissing descriptors for photos 1340138621 and 1340138623 LMissing descriptors for photos 1340138623 and 1340138626 LMissing descriptors for photos 1340138626 and 1340138628 LMissing descriptors for photos 1340138628 and 1340138634 LMissing descriptors for photos 1340138634 and 1340138645 LMissing descriptors for photos 1340138645 and 1340140735 LMissing descriptors for photos 1340140735 and 1340140740 LMissing descriptors for photos 1340140740 and 1340140749 LMissing descriptors for photos 1340140749 and 1340140757 LMissing descriptors for photos 1340140757 and 1340140761 LMissing descriptors for photos 1340140761 and 1340140764 L 28022025 Removing 4 photos because of the 'same image' condition Total on : 720.054308 list_time_on Total off : 59.891657 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 179 time used for this insertion : 0.03628206253051758 photos_removed : len 4 elapsed_time : remove_photo_duplicate 0.07621979713439941 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.L.L.L.L..L..L.L.L..L.L.L.L..L.L.L.L.L.........................................................L.L.L.L.L.L.L.L.L.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 0.009062528610229492 NUMBER BATCH : 2 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': '28022025', 'map_nb_amount': {0: 7, 1: 52, 2: 0, 3: 1, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 839.7671489715576, 'nb_balles_papier': 0.0006000000000000009, 'begin_time_port': 'image_28022025_10_00_03_009855m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0006000000000000009 LLLLLLLLLLLLLLLLLLLLLLLLLLLERROR 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 Lresult_one_balle_Type_JRM:{'day': '28022025', 'map_nb_amount': {0: 11, 1: 46, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 779.8776569366455, 'nb_balles_papier': 0.0005700000000000008, 'begin_time_port': 'image_28022025_10_15_02_649882m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0005700000000000008 We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 2 list_same_port_ids : [20926102] find same portfolio which already exist 20926102 , we will use it list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=JRM_diff_batch__28022025_10_15_02_649882&access_token=b05576c56a0e42ad0cb9b46155f68f82 # 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 ! 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 ! 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 ! 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 12489 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 12499 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12500 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 12492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 12492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! WARNING : number of outputs for step 12493 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 12502 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 12502 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 12495 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 12495 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! 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 ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 2 of step 12492 doesn't seem to be define in the database( WARNING : output 1 of step 12489 have datatype=2 whereas input 1 of step 12493 have datatype=7 WARNING : type of output 2 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12494 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12496 doesn't seem to be define in the database( WARNING : type of input 3 of step 12495 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12500 doesn't seem to be define in the database( WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12499 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 12496 have datatype=10 whereas input 3 of step 12498 have datatype=6 WARNING : type of input 5 of step 12498 doesn't seem to be define in the database( WARNING : output 0 of step 12501 have datatype=11 whereas input 5 of step 12498 have datatype=None WARNING : output 0 of step 12496 have datatype=10 whereas input 0 of step 12501 have datatype=18 WARNING : type of input 2 of step 12502 doesn't seem to be define in the database( WARNING : output 1 of step 12494 have datatype=7 whereas input 2 of step 12502 have datatype=None WARNING : type of output 3 of step 12502 doesn't seem to be define in the database( WARNING : type of input 2 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12499 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : type of output 1 of step 12500 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : output 0 of step 12493 have datatype=1 whereas input 0 of step 12494 have datatype=2 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`=20926102 AND mptpi.`type`=3726 To do # 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 ! 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 ! 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 ! 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 12489 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 12499 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12500 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 12492 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 12492 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! WARNING : number of outputs for step 12493 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12494 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 12502 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 12502 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 12496 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 12495 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 12495 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! 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 ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 2 of step 12492 doesn't seem to be define in the database( WARNING : output 1 of step 12489 have datatype=2 whereas input 1 of step 12493 have datatype=7 WARNING : type of output 2 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12494 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 12493 doesn't seem to be define in the database( WARNING : type of input 1 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12496 doesn't seem to be define in the database( WARNING : type of input 3 of step 12495 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12500 doesn't seem to be define in the database( WARNING : type of output 2 of step 12489 doesn't seem to be define in the database( WARNING : type of input 1 of step 12499 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 12496 have datatype=10 whereas input 3 of step 12498 have datatype=6 WARNING : type of input 5 of step 12498 doesn't seem to be define in the database( WARNING : output 0 of step 12501 have datatype=11 whereas input 5 of step 12498 have datatype=None WARNING : output 0 of step 12496 have datatype=10 whereas input 0 of step 12501 have datatype=18 WARNING : type of input 2 of step 12502 doesn't seem to be define in the database( WARNING : output 1 of step 12494 have datatype=7 whereas input 2 of step 12502 have datatype=None WARNING : type of output 3 of step 12502 doesn't seem to be define in the database( WARNING : type of input 2 of step 12496 doesn't seem to be define in the database( WARNING : type of output 1 of step 12499 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : type of output 1 of step 12500 doesn't seem to be define in the database( WARNING : type of input 3 of step 12492 doesn't seem to be define in the database( WARNING : output 0 of step 12493 have datatype=1 whereas input 0 of step 12494 have datatype=2 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`=20926958 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 2.607388734817505 # DISPLAY ALL COLLECTED DATA : {'28022025': {'nb_upload': 179, 'nb_taggue_class': 152, 'nb_taggue_densite': 152, 'nb_descriptors': 121}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1340140764, 1340140761, 1340140757, 1340140749, 1340140740, 1340140735, 1340138645, 1340138634, 1340138628, 1340138626, 1340138623, 1340138621, 1340138374, 1340138370, 1340138366, 1340138360, 1340138357, 1340138353, 1340137672, 1340137668, 1340137600, 1340137596, 1340137587, 1340137321, 1340134952, 1340134945, 1340134944, 1340134835, 1340134831, 1340134825, 1340134808, 1340134800, 1340134793, 1340133282, 1340133275, 1340133272, 1340133265, 1340133258, 1340133257, 1340132460, 1340132456, 1340132452, 1340132448, 1340132442, 1340132435, 1340131752, 1340131744, 1340131708, 1340131701, 1340131695, 1340131693, 1340131093, 1340131084, 1340131072, 1340131068, 1340131064, 1340131061, 1340130810, 1340130807, 1340130805, 1340130802, 1340130797, 1340130789, 1340130352, 1340130346, 1340130336, 1340130325, 1340130321, 1340130303, 1340129479, 1340129474, 1340129471, 1340129469, 1340129465, 1340129461, 1340128885, 1340128870, 1340128860, 1340128854, 1340128844, 1340128840, 1340128190, 1340128189, 1340128064, 1340128061, 1340128055, 1340128049, 1340128034, 1340128027, 1340126309, 1340126301, 1340126292, 1340126285, 1340126276, 1340126261, 1340125733, 1340125727, 1340125722, 1340125717, 1340125712] Looping around the photos to save general results len do output : 1 /20920596Didn'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, '2623861') ('4189', '20920596', '1340140764', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340140761', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340140757', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340140749', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340140740', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340140735', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340138645', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340138634', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340138628', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340138626', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340138623', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340138621', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340138374', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340138370', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340138366', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340138360', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340138357', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340138353', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340137672', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340137668', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340137600', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340137596', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340137587', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340137321', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340134952', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340134945', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340134944', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340134835', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340134831', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340134825', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340134808', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340134800', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340134793', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340133282', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340133275', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340133272', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340133265', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340133258', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340133257', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340132460', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340132456', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340132452', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340132448', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340132442', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340132435', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340131752', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340131744', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340131708', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340131701', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340131695', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340131693', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340131093', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340131084', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340131072', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340131068', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340131064', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340131061', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340130810', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340130807', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340130805', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340130802', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340130797', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340130789', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340130352', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340130346', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340130336', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340130325', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340130321', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340130303', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340129479', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340129474', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340129471', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340129469', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340129465', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340129461', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340128885', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340128870', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340128860', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340128854', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340128844', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340128840', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340128190', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340128189', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340128064', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340128061', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340128055', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340128049', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340128034', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340128027', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340126309', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340126301', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340126292', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340126285', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340126276', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340126261', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340125733', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340125727', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340125722', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340125717', None, None, None, None, None, '2623861') ('4189', None, None, None, None, None, None, None, '2623861') ('4189', '20920596', '1340125712', None, None, None, None, None, '2623861') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.03190350532531738 save_final save missing photos in datou_result : time spend for datou_step_exec : 11.347214460372925 time spend to save output : 0.032662391662597656 total time spend for step 1 : 11.379876852035522 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 2.00user 0.67system 0:15.29elapsed 17%CPU (0avgtext+0avgdata 103984maxresident)k 152inputs+1064outputs (1major+54720minor)pagefaults 0swaps