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 : 115071 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 : ['2878536'] with mtr_portfolio_ids : ['23055747'] and first list_photo_ids : [] new path : /proc/115071/ 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 : 0.025788068771362305 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 14:30:29 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', 231),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 170} L16052025 23055747 Nombre de photos uploadées : 231 / 23040 (1%) 16052025 23055747 Nombre de photos taguées (types de déchets): 170 / 231 (73%) 16052025 23055747 Nombre de photos taguées (volume) : 170 / 231 (73%) elapsed_time : load_data_split_time_score 4.291534423828125e-06 elapsed_time : order_list_meta_photo_and_scores 0.00010323524475097656 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.011342763900756836 L elapsed_time : insert_dashboard_record_day_entry 0.03252840042114258 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLL 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 elapsed_time : list_photo_by_hashtags 0.028644800186157227 Creating list_photo_total elapsed_time : select_descriptors 8.520739316940308 16052025 23055747 Nombre de photos avec descriptors (type 5680) : 170 / 231 (73%) 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 LERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1358890967 photo_id_prec : 1358889567 LL0:02:00.114637|OFF:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1358895310 photo_id_prec : 1358893905 L0:04:00.425528|ON:Missing descriptors for photos 1358895310 and 1358895351 LMissing descriptors for photos 1358895351 and 1358895389 LMissing descriptors for photos 1358895389 and 1358895432 LMissing descriptors for photos 1358895432 and 1358895468 LMissing descriptors for photos 1358895468 and 1358895505 LMissing descriptors for photos 1358895505 and 1358896854 LMissing descriptors for photos 1358896854 and 1358896856 LMissing descriptors for photos 1358896856 and 1358896866 LMissing descriptors for photos 1358896866 and 1358896870 LMissing descriptors for photos 1358896870 and 1358896873 LMissing descriptors for photos 1358896873 and 1358896897 LERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 0 vs 1280 photo_id : 1358899788 photo_id_prec : 1358896897 LL0:00:59.794158|OFF:LLLLLLLLLLLLLLLLLLLLLLLLLLLLLL0:01:59.699699|ON:LL0:05:00.127879|OFF:LLLL0:00:59.790128|ON:LL0:00:59.868113|OFF:0:00:00|ON:LL0:09:59.935917|OFF:0:00:00|ON:LL0:02:00.683414|OFF:0:00:00|ON:ERROR : Hum hum, what can we do for different size of descriptors (ignore the difference ) : 1280 vs 0 photo_id : 1358941554 photo_id_prec : 1358940491 LMissing descriptors for photos 1358941554 and 1358941559 LMissing descriptors for photos 1358941559 and 1358941562 LMissing descriptors for photos 1358941562 and 1358941587 LMissing descriptors for photos 1358941587 and 1358941596 LMissing descriptors for photos 1358941596 and 1358941603 LMissing descriptors for photos 1358941603 and 1358943066 LMissing descriptors for photos 1358943066 and 1358943071 LMissing descriptors for photos 1358943071 and 1358943076 LMissing descriptors for photos 1358943076 and 1358943082 LMissing descriptors for photos 1358943082 and 1358943095 LMissing descriptors for photos 1358943095 and 1358943111 LMissing descriptors for photos 1358943111 and 1358943240 LMissing descriptors for photos 1358943240 and 1358948964 LMissing descriptors for photos 1358948964 and 1358949018 LMissing descriptors for photos 1358949018 and 1358949076 LMissing descriptors for photos 1358949076 and 1358949103 LMissing descriptors for photos 1358949103 and 1358949110 LMissing descriptors for photos 1358949110 and 1358949117 LMissing descriptors for photos 1358949117 and 1358951411 LMissing descriptors for photos 1358951411 and 1358951540 LMissing descriptors for photos 1358951540 and 1358951657 LMissing descriptors for photos 1358951657 and 1358951767 LMissing descriptors for photos 1358951767 and 1358951821 LMissing descriptors for photos 1358951821 and 1358951901 LMissing descriptors for photos 1358951901 and 1358954378 LMissing descriptors for photos 1358954378 and 1358954452 LMissing descriptors for photos 1358954452 and 1358954513 LMissing descriptors for photos 1358954513 and 1358954531 LMissing descriptors for photos 1358954531 and 1358954567 LMissing descriptors for photos 1358954567 and 1358954607 LMissing descriptors for photos 1358954607 and 1358955721 LMissing descriptors for photos 1358955721 and 1358955731 LMissing descriptors for photos 1358955731 and 1358955775 LMissing descriptors for photos 1358955775 and 1358955797 LMissing descriptors for photos 1358955797 and 1358955801 LMissing descriptors for photos 1358955801 and 1358955837 L 16052025 Removing 45 photos because of the 'same image' condition Total on : 1260.5241180000003 list_time_on Total off : 419.915355 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 231 time used for this insertion : 0.04517960548400879 photos_removed : len 45 elapsed_time : remove_photo_duplicate 0.08615279197692871 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.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 0.01219940185546875 NUMBER BATCH : 3 list_ponderation used : [1e-05, 1e-05, 1e-05, 1e-05, 1e-05] , list_hashtag_class_create_as_list : ['jrm'] LLLLLLLLLLLLLLLLLLLLLLLLLERROR 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': '16052025', 'map_nb_amount': {0: 1, 1: 31, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 840.1619009971619, 'nb_balles_papier': 0.0003200000000000002, 'begin_time_port': 'image_16052025_10_00_02_614208_0000.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0003200000000000002 result_one_balle_Type_JRM:{'day': '16052025', 'map_nb_amount': {0: 7, 1: 80, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 840.3585441112518, 'nb_balles_papier': 0.0008700000000000016, 'begin_time_port': 'image_16052025_10_15_02_566237m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 0.0008700000000000016 LLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLERROR 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 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': '16052025', 'map_nb_amount': {0: 0, 1: 6, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 0, 2: 0, 3: 0, 4: 0}, 'duration': 359.6177339553833, 'nb_balles_papier': 6e-05, 'begin_time_port': 'image_16052025_10_30_02_904974m0.jpg 1e-05 for time 1, id_amount 2 this amount prod time diff : 1e-05'} Production hashtag (incorrect ponderation at 20-10-18) : 6e-05 We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 3 list_same_port_ids : [23064246] find same portfolio which already exist 23064246 , we will use it list_same_port_ids : [23064248] find same portfolio which already exist 23064248 , we will use it list_same_port_ids : [] https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=JRM_diff_batch__16052025_10_30_02_904974&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`=23064246 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`=23064248 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`=23065685 AND mptpi.`type`=3726 To do elapsed_time : count_nb_balles_and_create_portfolio 3.051574945449829 # DISPLAY ALL COLLECTED DATA : {'16052025': {'nb_upload': 231, 'nb_taggue_class': 170, 'nb_taggue_densite': 170, 'nb_descriptors': 170}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1358955837, 1358955801, 1358955797, 1358955775, 1358955731, 1358955721, 1358954607, 1358954567, 1358954531, 1358954513, 1358954452, 1358954378, 1358951901, 1358951821, 1358951767, 1358951657, 1358951540, 1358951411, 1358949117, 1358949110, 1358949103, 1358949076, 1358949018, 1358948964, 1358943240, 1358943111, 1358943095, 1358943082, 1358943076, 1358943071, 1358943066, 1358941603, 1358941596, 1358941587, 1358941562, 1358941559, 1358941554, 1358940491, 1358940367, 1358940255, 1358940198, 1358940190, 1358940184, 1358937738, 1358937688, 1358937647, 1358937641, 1358937619, 1358937578, 1358934728, 1358934689, 1358934644, 1358934603, 1358934540, 1358934499, 1358933229, 1358933222, 1358933215, 1358933209, 1358933204, 1358933200, 1358932597, 1358932551, 1358932509, 1358932472, 1358932431, 1358932360, 1358929913, 1358929857, 1358929803, 1358929768, 1358929716, 1358929676, 1358929120, 1358929113, 1358929111, 1358929107, 1358929102, 1358929098, 1358926253, 1358926117, 1358924861, 1358924805, 1358924769, 1358924732, 1358924696, 1358924650, 1358923251, 1358923227, 1358923210, 1358923184, 1358923146, 1358923107, 1358922489, 1358922459, 1358922422, 1358922385, 1358922361, 1358922350, 1358920932] 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, '2878536') ('4189', '23055747', '1358955837', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358955801', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358955797', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358955775', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358955731', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358955721', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358954607', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358954567', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358954531', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358954513', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358954452', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358954378', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358951901', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358951821', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358951767', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358951657', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358951540', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358951411', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358949117', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358949110', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358949103', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358949076', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358949018', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358948964', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358943240', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358943111', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358943095', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358943082', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358943076', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358943071', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358943066', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358941603', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358941596', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358941587', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358941562', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358941559', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358941554', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358940491', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358940367', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358940255', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358940198', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358940190', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358940184', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358937738', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358937688', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358937647', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358937641', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358937619', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358937578', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358934728', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358934689', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358934644', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358934603', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358934540', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358934499', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358933229', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358933222', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358933215', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358933209', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358933204', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358933200', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358932597', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358932551', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358932509', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358932472', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358932431', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358932360', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358929913', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358929857', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358929803', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358929768', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358929716', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358929676', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358929120', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358929113', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358929111', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358929107', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358929102', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358929098', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358926253', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358926117', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358924861', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358924805', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358924769', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358924732', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358924696', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358924650', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358923251', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358923227', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358923210', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358923184', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358923146', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358923107', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358922489', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358922459', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358922422', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358922385', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358922361', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358922350', None, None, None, None, None, '2878536') ('4189', None, None, None, None, None, None, None, '2878536') ('4189', '23055747', '1358920932', None, None, None, None, None, '2878536') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.031018495559692383 save_final save missing photos in datou_result : time spend for datou_step_exec : 11.872599840164185 time spend to save output : 0.03208160400390625 total time spend for step 1 : 11.90468144416809 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 1.89user 0.89system 0:15.93elapsed 17%CPU (0avgtext+0avgdata 102644maxresident)k 1120inputs+1472outputs (3major+50033minor)pagefaults 0swaps