python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4891' -s datou_current_4891 -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 : 1826467 load datou : 4891 # 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 : 4891, datou_cur_ids : ['4342556'] with mtr_portfolio_ids : ['30353605'] and first list_photo_ids : [] new path : /proc/1826467/ 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 : 0.09470939636230469 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Wed Feb 11 01:00:28 2026 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': 3892, 'mtr_user_id': 31, 'name': 'learn_MM_generique_26022025', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'aluminium,ela,emr,film_pedb,flux_dev,jrm,pcm,pcnc,pehd_pp,pet_clair,refus,tapis_vide', 'svm_portfolios_learning': '17736100,17736101,17736102,17736103,17736104,20837895,20837896,17736107,17736108,17736109,17736110,18876169', 'photo_hashtag_type': 4989, 'photo_desc_type': 6092, 'type_classification': 'tf_classification2', 'hashtag_id_list': '493546845,492741797,616987804,2107760237,2107760238,495916461,560181804,1284539308,2107760239,2107755846,538914404,2107748999'}] thcls : [{'id': 3513, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2_tf', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 4557, 'photo_desc_type': 5767, 'type_classification': 'tf_classification2', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('00', 8), ('01', 6), ('02', 8), ('03', 7), ('04', 7), ('05', 8), ('06', 6), ('07', 8), ('08', 7), ('09', 115), ('10', 83), ('11', 6), ('12', 8), ('13', 7), ('14', 21), ('15', 91), ('16', 6), ('17', 8), ('18', 7), ('19', 7), ('20', 8), ('21', 6), ('22', 10), ('23', 9)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 457} 10022026 30353605 Nombre de photos uploadées : 457 / 23040 (1%) 10022026 30353605 Nombre de photos taguées (types de déchets): 457 / 457 (100%) 10022026 30353605 Nombre de photos taguées (volume) : 457 / 457 (100%) elapsed_time : load_data_split_time_score 1.1920928955078125e-06 elapsed_time : order_list_meta_photo_and_scores 0.00014209747314453125 elapsed_time : fill_and_build_computed_from_old_data 0.018950939178466797 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.24455738067626953 Creating list_photo_total elapsed_time : select_descriptors 18.057522296905518 10022026 30353605 Nombre de photos avec descriptors (type 6092) : 328 / 328 (100%) Missing descriptors for photos 0 and 1407388184 0:00:00|ON:Missing descriptors for photos 1407388184 and 1407389245 Missing descriptors for photos 1407389245 and 1407391453 Missing descriptors for photos 1407391453 and 1407391454 Missing descriptors for photos 1407391454 and 1407391460 Missing descriptors for photos 1407391460 and 1407393211 Missing descriptors for photos 1407393211 and 1407394800 Missing descriptors for photos 1407394800 and 1407394801 Missing descriptors for photos 1407394801 and 1407398499 Missing descriptors for photos 1407398499 and 1407398502 Missing descriptors for photos 1407398502 and 1407398503 Missing descriptors for photos 1407398503 and 1407398506 Missing descriptors for photos 1407398506 and 1407398507 Missing descriptors for photos 1407398507 and 1407398510 Missing descriptors for photos 1407398510 and 1407399634 Missing descriptors for photos 1407399634 and 1407403570 Missing descriptors for photos 1407403570 and 1407403758 Missing descriptors for photos 1407403758 and 1407403761 Missing descriptors for photos 1407403761 and 1407403764 Missing descriptors for photos 1407403764 and 1407404359 Missing descriptors for photos 1407404359 and 1407405294 Missing descriptors for photos 1407405294 and 1407405295 Missing descriptors for photos 1407405295 and 1407405514 Missing descriptors for photos 1407405514 and 1407408611 Missing descriptors for photos 1407408611 and 1407408612 Missing descriptors for photos 1407408612 and 1407408613 Missing descriptors for photos 1407408613 and 1407408616 Missing descriptors for photos 1407408616 and 1407408619 Missing descriptors for photos 1407408619 and 1407408620 Missing descriptors for photos 1407408620 and 1407410836 Missing descriptors for photos 1407410836 and 1407410861 Missing descriptors for photos 1407410861 and 1407410886 Missing descriptors for photos 1407410886 and 1407411632 Missing descriptors for photos 1407411632 and 1407411657 Missing descriptors for photos 1407411657 and 1407411681 Missing descriptors for photos 1407411681 and 1407412396 Missing descriptors for photos 1407412396 and 1407413782 Missing descriptors for photos 1407413782 and 1407415375 Missing descriptors for photos 1407415375 and 1407416378 Missing descriptors for photos 1407416378 and 1407416385 Missing descriptors for photos 1407416385 and 1407416395 Missing descriptors for photos 1407416465 and 1407416475 Missing descriptors for photos 1407421203 and 1407422166 Missing descriptors for photos 1407424885 and 1407424914 Missing descriptors for photos 1407424914 and 1407424924 9:41:29.999788|OFF:0:00:05.000998|ON:0:07:34.999959|OFF:0:00:30.000034|ON:0:07:34.999980|OFF:0:00:04.999010|ON:0:00:30.000994|OFF:0:00:20.000024|ON:0:00:39.998986|OFF:0:00:05.001012|ON:0:07:24.999985|OFF:0:00:03.998965|ON:Missing descriptors for photos 1407434160 and 1407434167 Missing descriptors for photos 1407434167 and 1407434177 Missing descriptors for photos 1407434177 and 1407434787 Missing descriptors for photos 1407451988 and 1407451998 Missing descriptors for photos 1407453934 and 1407454643 Missing descriptors for photos 1407454643 and 1407458012 Missing descriptors for photos 1407458012 and 1407458020 Missing descriptors for photos 1407458020 and 1407458028 Missing descriptors for photos 1407461005 and 1407461914 Missing descriptors for photos 1407461914 and 1407462788 4:57:56.001032|OFF:0:00:14.999001|ON:0:06:10.000974|OFF:0:00:38.998991|ON:0:00:36.001017|OFF:0:00:43.999005|ON:0:00:25.999988|OFF:0:00:25.000013|ON:0:00:44.999995|OFF:0:06:20.000882|ON:Missing descriptors for photos 1407468191 and 1407468198 Missing descriptors for photos 1407468198 and 1407468207 Missing descriptors for photos 1407471106 and 1407471113 Missing descriptors for photos 1407471113 and 1407472556 Missing descriptors for photos 1407472793 and 1407474266 Missing descriptors for photos 1407474928 and 1407475402 Missing descriptors for photos 1407475402 and 1407475411 Missing descriptors for photos 1407478230 and 1407478236 Missing descriptors for photos 1407480724 and 1407480732 Missing descriptors for photos 1407483551 and 1407483558 Missing descriptors for photos 1407484090 and 1407485396 Missing descriptors for photos 1407485396 and 1407485730 Missing descriptors for photos 1407485730 and 1407485757 Missing descriptors for photos 1407485757 and 1407485764 Missing descriptors for photos 1407485764 and 1407485772 Missing descriptors for photos 1407485813 and 1407487817 Missing descriptors for photos 1407487817 and 1407487827 Missing descriptors for photos 1407487827 and 1407487843 Missing descriptors for photos 1407487843 and 1407487861 Missing descriptors for photos 1407487861 and 1407487871 Missing descriptors for photos 1407487871 and 1407487880 Missing descriptors for photos 1407487880 and 1407487907 Missing descriptors for photos 1407487907 and 1407490901 Missing descriptors for photos 1407490901 and 1407494598 Missing descriptors for photos 1407494598 and 1407498531 Missing descriptors for photos 1407498531 and 1407502006 Missing descriptors for photos 1407502006 and 1407508722 Missing descriptors for photos 1407508722 and 1407513492 Missing descriptors for photos 1407513492 and 1407519871 Missing descriptors for photos 1407519871 and 1407521299 Missing descriptors for photos 1407521299 and 1407521310 Missing descriptors for photos 1407521310 and 1407522024 Missing descriptors for photos 1407522024 and 1407522589 Missing descriptors for photos 1407522589 and 1407522596 Missing descriptors for photos 1407522596 and 1407522607 Missing descriptors for photos 1407522607 and 1407522618 Missing descriptors for photos 1407522618 and 1407522626 Missing descriptors for photos 1407522626 and 1407522635 Missing descriptors for photos 1407522635 and 1407522641 Missing descriptors for photos 1407522641 and 1407522648 10022026 Removing 25 photos because of the 'same image' condition Total on : 54668.00269800001 list_time_on Total off : 571.997935 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 457 time used for this insertion : 4.654668092727661 photos_removed : len 25 elapsed_time : remove_photo_duplicate 4.801869869232178 Creating list_photo_total XXXXXXXXXXXXXXXXXXXXXXXXXtime_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in 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result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of 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limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff 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time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff 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time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the 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moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average elapsed_time : count_sum_diff_and_build_graph 0.07728052139282227 Total photos : 457 .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 0 hashtag : 495916461 photo_id =1407416423 : jrm ...can't find max_score_info .can't find max_score_info .Change port : 3 hashtag : 493546845 photo_id =1407416483 : aluminium .can't find max_score_info .Change port : 1 hashtag : 616987804 photo_id =1407417135 : emr .Change port : 1 hashtag : 493546845 photo_id =1407417144 : aluminium .can't find max_score_info ..can't find max_score_info .can't find max_score_info .Change port : 2 hashtag : 492741797 photo_id =1407422175 : ela .can't find max_score_info ..can't find max_score_info .Change port : 2 hashtag : 2107760237 photo_id =1407423588 : film_pedb .can't find max_score_info .Change port : 1 hashtag : 495916461 photo_id =1407424879 : jrm .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 2107760239 photo_id =1407424932 : pehd_pp .Change port : 1 hashtag : 492741797 photo_id =1407426920 : ela .can't find max_score_info .Change port : 1 hashtag : 493546845 photo_id =1407427562 : aluminium ..can't find max_score_info .Change port : 2 hashtag : 492741797 photo_id =1407429736 : ela ......................................can't find max_score_info ......Change port : 43 hashtag : 2107760239 photo_id =1407429800 : pehd_pp ............................can't find max_score_info ............Change port : 39 hashtag : 616987804 photo_id =1407430725 : emr .......Change port : 7 hashtag : 538914404 photo_id =1407430821 : refus .......can't find max_score_info .......can't find max_score_info .......can't find max_score_info ...can't find max_score_info .Change port : 21 hashtag : 2107755846 photo_id =1407433522 : pet_clair .............................can't find max_score_info ............................Change port : 56 hashtag : 616987804 photo_id =1407434135 : emr ..............can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 14 hashtag : 493546845 photo_id =1407434794 : aluminium .can't find max_score_info .Change port : 1 hashtag : 495916461 photo_id =1407439792 : jrm ...Change port : 3 hashtag : 493546845 photo_id =1407442653 : aluminium .Change port : 1 hashtag : 495916461 photo_id =1407443849 : jrm .can't find max_score_info ..can't find max_score_info ..can't find max_score_info .can't find max_score_info .Change port : 3 hashtag : 2107755846 photo_id =1407452005 : pet_clair .Change port : 1 hashtag : 492741797 photo_id =1407453927 : ela .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 495916461 photo_id =1407458057 : jrm .can't find max_score_info ..can't find max_score_info .Change port : 2 hashtag : 492741797 photo_id =1407460995 : ela .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 2107760239 photo_id =1407464018 : pehd_pp .can't find max_score_info .Change port : 1 hashtag : 616987804 photo_id =1407464841 : emr ..............can't find max_score_info .Change port : 14 hashtag : 2107760238 photo_id =1407467814 : flux_dev .........................can't find max_score_info ..........Change port : 34 hashtag : 2107760237 photo_id =1407468120 : film_pedb ............can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ........can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ......can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info ........can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 31 hashtag : 493546845 photo_id =1407468235 : aluminium .can't find max_score_info ..Change port : 2 hashtag : 495916461 photo_id =1407471097 : jrm .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 2107760237 photo_id =1407472785 : film_pedb .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 495916461 photo_id =1407474921 : jrm .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 2107755846 photo_id =1407475418 : pet_clair .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 493546845 photo_id =1407478465 : aluminium .Change port : 1 hashtag : 492741797 photo_id =1407480718 : ela .can't find max_score_info .can't find max_score_info ..can't find max_score_info .Change port : 2 hashtag : 495916461 photo_id =1407481560 : jrm .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 493546845 photo_id =1407483565 : aluminium .Change port : 1 hashtag : 492741797 photo_id =1407483700 : ela .can't find max_score_info ..can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 2 hashtag : 495916461 photo_id =1407485801 : jrm .Change port : 1 hashtag : 2107760237 photo_id =1407485807 : film_pedb .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info .can't find max_score_info Total photos : 457 Number of lists : 41 counter photos in port : 303 hashtag : aluminium(493546845) : 11 photos in 8 portfolios ! hashtag : ela(492741797) : 52 photos in 7 portfolios ! hashtag : emr(616987804) : 36 photos in 4 portfolios ! hashtag : film_pedb(2107760237) : 34 photos in 4 portfolios ! hashtag : flux_dev(2107760238) : 34 photos in 1 portfolios ! hashtag : jrm(495916461) : 16 photos in 9 portfolios ! hashtag : pcm(560181804) : 0 photos in 0 portfolios ! hashtag : pcnc(1284539308) : 0 photos in 0 portfolios ! hashtag : pehd_pp(2107760239) : 41 photos in 3 portfolios ! hashtag : pet_clair(2107755846) : 58 photos in 3 portfolios ! hashtag : refus(538914404) : 21 photos in 1 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 1 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.012476682662963867 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 1.9073486328125e-06 today str has not a value , we define it as the date of the first image todaystr_first : 10022026 attention , prev_timestamp is 0 , we do nothing *********************************************************************** BIG TIME 284.9999358654022 (245.00104188919067, 1, 0, 0.836628, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.491499975204468, 0.0114, 0.0010000028133392335, 1.9, 0.25000003004074106, -0.42499833861986797) on 42 1407429800 2026-02-10 09:48:14.004371 id_data : 114 ** BIG TIME 309.99996304512024 (470.00008606910706, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.8559015, 0, 0, 0, 3.5430000741958616, 0.0154, 0.0015000027179718019, 1.9, 0.014999996900558471, -0.016666669845581055) on 80 1407430725 2026-02-10 09:57:14.005388 id_data : 154 ** BIG TIME 205.00001096725464 (629.0011429786682, 6, 0, 0, 0, 0, 0, 0, 0.4041627, 0, 0, 0, 0, 0, 3.593999976491928, 0.0185, 0.005600004911422729, 0.9, 0.004998980045318604, -0.0) on 107 1407433522 2026-02-10 10:04:59.005397 id_data : 186 ** BIG TIME 259.99994802474976 (939.0001358985901, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.65965784, 0, 0, 3.6545000762939455, 0.0243, 0.008600006222724915, 1.9, 0.3100000357627868, -0.55833331823349) on 162 1407434135 2026-02-10 10:14:59.005394 id_data : 243 * BIG TIME 368.9998800754547 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407434160 2026-02-10 10:22:13.004322 id_data : 257 * BIG TIME 261.001042842865 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407434167 2026-02-10 10:26:34.005365 id_data : 258 * BIG TIME 259.99996399879456 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407434177 2026-02-10 10:30:54.005329 id_data : 259 * BIG TIME 979.9999871253967 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407434787 2026-02-10 10:47:14.005316 id_data : 260 * BIG TIME 260.0000400543213 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407434794 2026-02-10 10:51:34.005356 id_data : 261 * BIG TIME 259.99996399879456 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407434801 2026-02-10 10:55:54.005320 id_data : 262 * BIG TIME 978.9990289211273 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407439792 2026-02-10 11:12:13.004349 id_data : 263 * BIG TIME 261.0000169277191 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407439802 2026-02-10 11:16:34.004366 id_data : 264 * BIG TIME 259.99998116493225 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407440411 2026-02-10 11:20:54.004347 id_data : 265 * BIG TIME 980.0010049343109 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407442653 2026-02-10 11:37:14.005352 id_data : 266 * BIG TIME 259.9999940395355 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407443849 2026-02-10 11:41:34.005346 id_data : 267 * BIG TIME 259.99997091293335 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407444708 2026-02-10 11:45:54.005317 id_data : 268 * BIG TIME 979.9990041255951 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407449501 2026-02-10 12:02:14.004321 id_data : 269 * BIG TIME 259.99998593330383 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407451176 2026-02-10 12:06:34.004307 id_data : 270 * BIG TIME 259.0000569820404 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407451184 2026-02-10 12:10:53.004364 id_data : 271 * BIG TIME 981.0009589195251 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407451988 2026-02-10 12:27:14.005323 id_data : 272 * BIG TIME 259.9989981651306 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407451998 2026-02-10 12:31:34.004321 id_data : 273 * BIG TIME 260.00102186203003 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407452005 2026-02-10 12:35:54.005343 id_data : 274 * BIG TIME 978.9990100860596 (1004.0002048015594, 2, 0, 0, 0.92144173, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6869999758958816, 0.0257, 0.008600006222724915, 2.9, 0.06499904799461365, -0.10166668176651) on 175 1407453927 2026-02-10 12:52:13.004353 id_data : 275 * BIG TIME 260.9999668598175 (1004.0002048015594, 2, 0, 0, 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0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407485801 2026-02-10 20:47:14.005380 id_data : 429 * BIG TIME 259.9999690055847 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407485807 2026-02-10 20:51:34.005349 id_data : 430 * BIG TIME 259.9999771118164 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407485813 2026-02-10 20:55:54.005326 id_data : 431 * BIG TIME 791.0000939369202 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407487817 2026-02-10 21:09:05.005420 id_data : 432 * BIG TIME 319.99996304512024 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407487827 2026-02-10 21:14:25.005383 id_data : 433 * BIG TIME 638.9989669322968 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407487843 2026-02-10 21:25:04.004350 id_data : 434 * BIG TIME 639.9999721050262 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407487861 2026-02-10 21:35:44.004322 id_data : 435 * BIG TIME 321.0010440349579 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407487871 2026-02-10 21:41:05.005366 id_data : 436 * BIG TIME 318.99995398521423 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407487880 2026-02-10 21:46:24.005320 id_data : 437 * BIG TIME 959.9989960193634 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407487907 2026-02-10 22:02:24.004316 id_data : 438 * BIG TIME 260.0000009536743 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407490901 2026-02-10 22:06:44.004317 id_data : 439 * BIG TIME 321.001042842865 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407494598 2026-02-10 22:12:05.005360 id_data : 440 * BIG TIME 388.9990270137787 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407498531 2026-02-10 22:18:34.004387 id_data : 441 * BIG TIME 320.0000011920929 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407502006 2026-02-10 22:23:54.004388 id_data : 442 * BIG TIME 379.9999969005585 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407508722 2026-02-10 22:30:14.004385 id_data : 443 * BIG TIME 381.00100803375244 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407513492 2026-02-10 22:36:35.005393 id_data : 444 * BIG TIME 378.99899196624756 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407519871 2026-02-10 22:42:54.004385 id_data : 445 * BIG TIME 321.0010108947754 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407521299 2026-02-10 22:48:15.005396 id_data : 446 * BIG TIME 379.9999830722809 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407521310 2026-02-10 22:54:35.005379 id_data : 447 * BIG TIME 379.99999809265137 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407522024 2026-02-10 23:00:55.005377 id_data : 448 * BIG TIME 320.00000286102295 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407522589 2026-02-10 23:06:15.005380 id_data : 449 * BIG TIME 319.99999809265137 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407522596 2026-02-10 23:11:35.005378 id_data : 450 * BIG TIME 318.9989399909973 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407522607 2026-02-10 23:16:54.004318 id_data : 451 * BIG TIME 381.0010099411011 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407522618 2026-02-10 23:23:15.005328 id_data : 452 * BIG TIME 318.9989881515503 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407522626 2026-02-10 23:28:34.004316 id_data : 453 * BIG TIME 381.0009958744049 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407522635 2026-02-10 23:34:55.005312 id_data : 454 * BIG TIME 380.0000030994415 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407522641 2026-02-10 23:41:15.005315 id_data : 455 * BIG TIME 379.9999978542328 (1596.0013298988342, 3, 0, 0, 0, 0.6393805, 0, 0, 0, 0, 0, 0, 0, 0, 5.484999974107742, 0.0389, 0.02049990952014923, 0.9, 0.16700101709365847, -0.44166502833366394) on 253 1407522648 2026-02-10 23:47:35.005313 id_data : 456 Count Time bigger than 30s : 182 #Number Photos for regression : {'10022026': {493546845: {2107751013: 0, 2107751014: 28.999998092651367, 2107751015: 17.002018213272095, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 193.99692559242249, 2107751015: 61.003127336502075, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 138.9991102218628, 2107751015: 44.99902963638306, 2107751016: 51.000022172927856, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 24.999994039535522, 2107751015: 15.000948905944824, 2107751016: 127.0000741481781, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 108.99591088294983, 2107751015: 151.0010631084442, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 5.000981092453003, 2107751015: 6.0010130405426025, 2107751016: 0, 2107751017: 0}, 560181804: {2107751013: 0, 2107751014: 13.996953010559082, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 54.00000500679016, 2107751015: 149.99904775619507, 2107751016: 10.000016212463379, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 104.99606370925903, 2107751015: 168.0070834159851, 2107751016: 36.996888637542725, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 43.99992394447327, 2107751015: 45.00310301780701, 2107751016: 5.001011848449707, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 190.00089716911316, 2107751016: 0, 2107751017: 0}}} 10022026|aluminium, 05102018_papier_non_papier_dense:0 10022026|aluminium, 05102018_papier_non_papier_peu_dense:28.999998092651367 10022026|aluminium, 05102018_papier_non_papier_presque_vide:17.002018213272095 10022026|aluminium, 05102018_papier_non_papier_tres_dense:0 10022026|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 10022026|ela, 05102018_papier_non_papier_dense:0 10022026|ela, 05102018_papier_non_papier_peu_dense:193.99692559242249 10022026|ela, 05102018_papier_non_papier_presque_vide:61.003127336502075 10022026|ela, 05102018_papier_non_papier_tres_dense:0 10022026|ela, 05102018_papier_non_papier_tres_peu_dense:0 10022026|emr, 05102018_papier_non_papier_dense:0 10022026|emr, 05102018_papier_non_papier_peu_dense:138.9991102218628 10022026|emr, 05102018_papier_non_papier_presque_vide:44.99902963638306 10022026|emr, 05102018_papier_non_papier_tres_dense:51.000022172927856 10022026|emr, 05102018_papier_non_papier_tres_peu_dense:0 10022026|film_pedb, 05102018_papier_non_papier_dense:0 10022026|film_pedb, 05102018_papier_non_papier_peu_dense:24.999994039535522 10022026|film_pedb, 05102018_papier_non_papier_presque_vide:15.000948905944824 10022026|film_pedb, 05102018_papier_non_papier_tres_dense:127.0000741481781 10022026|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 10022026|flux_dev, 05102018_papier_non_papier_dense:0 10022026|flux_dev, 05102018_papier_non_papier_peu_dense:108.99591088294983 10022026|flux_dev, 05102018_papier_non_papier_presque_vide:151.0010631084442 10022026|flux_dev, 05102018_papier_non_papier_tres_dense:0 10022026|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 10022026|jrm, 05102018_papier_non_papier_dense:0 10022026|jrm, 05102018_papier_non_papier_peu_dense:5.000981092453003 10022026|jrm, 05102018_papier_non_papier_presque_vide:6.0010130405426025 10022026|jrm, 05102018_papier_non_papier_tres_dense:0 10022026|jrm, 05102018_papier_non_papier_tres_peu_dense:0 10022026|pcm, 05102018_papier_non_papier_dense:0 10022026|pcm, 05102018_papier_non_papier_peu_dense:13.996953010559082 10022026|pcm, 05102018_papier_non_papier_presque_vide:0 10022026|pcm, 05102018_papier_non_papier_tres_dense:0 10022026|pcm, 05102018_papier_non_papier_tres_peu_dense:0 10022026|pcnc, 05102018_papier_non_papier_dense:0 10022026|pcnc, 05102018_papier_non_papier_peu_dense:0 10022026|pcnc, 05102018_papier_non_papier_presque_vide:0 10022026|pcnc, 05102018_papier_non_papier_tres_dense:0 10022026|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 10022026|pehd_pp, 05102018_papier_non_papier_dense:0 10022026|pehd_pp, 05102018_papier_non_papier_peu_dense:54.00000500679016 10022026|pehd_pp, 05102018_papier_non_papier_presque_vide:149.99904775619507 10022026|pehd_pp, 05102018_papier_non_papier_tres_dense:10.000016212463379 10022026|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 10022026|pet_clair, 05102018_papier_non_papier_dense:0 10022026|pet_clair, 05102018_papier_non_papier_peu_dense:104.99606370925903 10022026|pet_clair, 05102018_papier_non_papier_presque_vide:168.0070834159851 10022026|pet_clair, 05102018_papier_non_papier_tres_dense:36.996888637542725 10022026|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 10022026|refus, 05102018_papier_non_papier_dense:0 10022026|refus, 05102018_papier_non_papier_peu_dense:43.99992394447327 10022026|refus, 05102018_papier_non_papier_presque_vide:45.00310301780701 10022026|refus, 05102018_papier_non_papier_tres_dense:5.001011848449707 10022026|refus, 05102018_papier_non_papier_tres_peu_dense:0 10022026|tapis_vide, 05102018_papier_non_papier_dense:0 10022026|tapis_vide, 05102018_papier_non_papier_peu_dense:0 10022026|tapis_vide, 05102018_papier_non_papier_presque_vide:190.00089716911316 10022026|tapis_vide, 05102018_papier_non_papier_tres_dense:0 10022026|tapis_vide, 05102018_papier_non_papier_tres_peu_dense:0 #Number Photos for regression amount gros magasin papier (time_diff then nb_photo) : We have not displayed the number of photos removed for one material since Rungis_Papier wasn't in the thcl used ! 10022026_time_diff_distrib Number amount portfolio for this type of dechet : aluminium 7 Created to study and clean : 30361022 with name like 10022026_aluminium_05102018_papier_non_papier_peu_dense Created to study and clean : 30361023 with name like 10022026_aluminium_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : ela 43 Created to study and clean : 30361024 with name like 10022026_ela_05102018_papier_non_papier_peu_dense Created to study and clean : 30361025 with name like 10022026_ela_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : emr 33 Created to study and clean : 30361029 with name like 10022026_emr_05102018_papier_non_papier_peu_dense Created to study and clean : 30361031 with name like 10022026_emr_05102018_papier_non_papier_presque_vide Created to study and clean : 30361032 with name like 10022026_emr_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : film_pedb 30 Created to study and clean : 30361033 with name like 10022026_film_pedb_05102018_papier_non_papier_peu_dense Created to study and clean : 30361034 with name like 10022026_film_pedb_05102018_papier_non_papier_presque_vide Created to study and clean : 30361035 with name like 10022026_film_pedb_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : flux_dev 28 Created to study and clean : 30361036 with name like 10022026_flux_dev_05102018_papier_non_papier_peu_dense Created to study and clean : 30361037 with name like 10022026_flux_dev_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : jrm 2 Created to study and clean : 30361038 with name like 10022026_jrm_05102018_papier_non_papier_peu_dense Created to study and clean : 30361039 with name like 10022026_jrm_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : pcm 3 Number amount portfolio for this type of dechet : pcnc 0 Number amount portfolio for this type of dechet : pehd_pp 36 Created to study and clean : 30361040 with name like 10022026_pehd_pp_05102018_papier_non_papier_peu_dense Created to study and clean : 30361041 with name like 10022026_pehd_pp_05102018_papier_non_papier_presque_vide Created to study and clean : 30361042 with name like 10022026_pehd_pp_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : pet_clair 55 Created to study and clean : 30361043 with name like 10022026_pet_clair_05102018_papier_non_papier_peu_dense Created to study and clean : 30361044 with name like 10022026_pet_clair_05102018_papier_non_papier_presque_vide Created to study and clean : 30361045 with name like 10022026_pet_clair_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : refus 16 Created to study and clean : 30361046 with name like 10022026_refus_05102018_papier_non_papier_peu_dense Created to study and clean : 30361047 with name like 10022026_refus_05102018_papier_non_papier_presque_vide Created to study and clean : 30361048 with name like 10022026_refus_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : tapis_vide 2 Created to study and clean : 30361049 with name like 10022026_tapis_vide_05102018_papier_non_papier_presque_vide NUMBER BATCH : 41 list_ponderation used : [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001] , list_hashtag_class_create_as_list : ['emr', 'gm', 'jrm', 'ela', 'pet_clair', 'film_pedb', 'pehd_pp', 'flux_dev', 'aluminium', 'tapis_vide', 'refus', 'emr', 'gm'] We filter photos on hashtag condition ! result_one_balle_Type_ela:{'day': '10022026', 'map_nb_amount': {0: 34, 1: 9, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 188.9969027042389, 1: 61.003127336502075, 2: 0, 3: 0, 4: 0}, 'duration': 260.0000581741333, 'nb_balles_papier': 0.25100003004074106, 'begin_time_port': 'image_10022026_09_39_09_004377m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.25100003004074106 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! result_one_balle_Type_pehd_pp:{'day': '10022026', 'map_nb_amount': {0: 12, 1: 25, 2: 2, 3: 0, 4: 0}, 'map_time_amount': {0: 59.000977993011475, 1: 156.00006079673767, 2: 10.000016212463379, 3: 0, 4: 0}, 'duration': 230.0010540485382, 'nb_balles_papier': 0.22600105500221251, 'begin_time_port': 'image_10022026_09_48_14_004371m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.22600105500221251 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '10022026', 'map_nb_amount': {0: 1, 1: 6, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 40.00004005432129, 2: 0, 3: 0, 4: 0}, 'duration': 40.00004005432129, 'nb_balles_papier': 0.04100004005432129, 'begin_time_port': 'image_10022026_09_57_14_005388m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.04100004005432129 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '10022026', 'map_nb_amount': {0: 1, 1: 6, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 40.00004005432129, 2: 0, 3: 0, 4: 0}, 'duration': 40.00004005432129, 'nb_balles_papier': 0.04100004005432129, 'begin_time_port': 'image_10022026_09_57_14_005388m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.04100004005432129 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_refus:{'day': '10022026', 'map_nb_amount': {0: 13, 1: 7, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 61.993882179260254, 1: 52.004103899002075, 2: 5.001011848449707, 3: 0, 4: 0}, 'duration': 155.00003385543823, 'nb_balles_papier': 0.11899899792671205, 'begin_time_port': 'image_10022026_09_57_59_004414m0.jpg 0.004998986005783081 for time 4.998986005783081, id_amount 1 this amount prod time diff : 0.004998986005783081'} Production hashtag (incorrect ponderation at 20-10-18) : 0.11899899792671205 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! result_one_balle_Type_pet_clair:{'day': '10022026', 'map_nb_amount': {0: 16, 1: 32, 2: 8, 3: 0, 4: 0}, 'map_time_amount': {0: 104.99606370925903, 1: 168.0070834159851, 2: 36.996888637542725, 3: 0, 4: 0}, 'duration': 340.0000488758087, 'nb_balles_papier': 0.3110000357627868, 'begin_time_port': 'image_10022026_10_04_59_005397m0.jpg 0.001 for time 1, id_amount 2 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.3110000357627868 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '10022026', 'map_nb_amount': {0: 6, 1: 1, 2: 7, 3: 0, 4: 0}, 'map_time_amount': {0: 25.000075101852417, 1: 5.000001907348633, 2: 34.9989709854126, 3: 0, 4: 0}, 'duration': 64.99904799461365, 'nb_balles_papier': 0.06599904799461365, 'begin_time_port': 'image_10022026_10_14_59_005394m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.06599904799461365 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '10022026', 'map_nb_amount': {0: 6, 1: 1, 2: 7, 3: 0, 4: 0}, 'map_time_amount': {0: 25.000075101852417, 1: 5.000001907348633, 2: 34.9989709854126, 3: 0, 4: 0}, 'duration': 64.99904799461365, 'nb_balles_papier': 0.06599904799461365, 'begin_time_port': 'image_10022026_10_14_59_005394m0.jpg 0.001 for time 1, id_amount 1 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.06599904799461365 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '10022026', 'map_nb_amount': {0: 10, 1: 1, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 109.0000250339508, 1: 4.998978853225708, 2: 16.00105118751526, 3: 0, 4: 0}, 'duration': 105.00003695487976, 'nb_balles_papier': 0.13000005507469178, 'begin_time_port': 'image_10022026_14_57_39_005392m0.jpg 0.025000018119812013 for time 25.00001811981201, id_amount 1 this amount prod time diff : 0.025000018119812013'} Production hashtag (incorrect ponderation at 20-10-18) : 0.13000005507469178 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_emr:{'day': '10022026', 'map_nb_amount': {0: 10, 1: 1, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 109.0000250339508, 1: 4.998978853225708, 2: 16.00105118751526, 3: 0, 4: 0}, 'duration': 105.00003695487976, 'nb_balles_papier': 0.13000005507469178, 'begin_time_port': 'image_10022026_14_57_39_005392m0.jpg 0.025000018119812013 for time 25.00001811981201, id_amount 1 this amount prod time diff : 0.025000018119812013'} Production hashtag (incorrect ponderation at 20-10-18) : 0.13000005507469178 We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_flux_dev:{'day': '10022026', 'map_nb_amount': {0: 27, 1: 7, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 143.99794483184814, 1: 156.00208926200867, 2: 0, 3: 0, 4: 0}, 'duration': 190.0010461807251, 'nb_balles_papier': 0.3000000340938568, 'begin_time_port': 'image_10022026_15_03_39_004392m0.jpg 0.12499900388717651 for time 124.99900388717651, id_amount 2 this amount prod time diff : 0.12499900388717651'} Production hashtag (incorrect ponderation at 20-10-18) : 0.3000000340938568 We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! result_one_balle_Type_film_pedb:{'day': '10022026', 'map_nb_amount': {0: 3, 1: 3, 2: 25, 3: 0, 4: 0}, 'map_time_amount': {0: 24.999994039535522, 1: 15.000948905944824, 2: 127.0000741481781, 3: 0, 4: 0}, 'duration': 271.0000340938568, 'nb_balles_papier': 0.16800101709365847, 'begin_time_port': 'image_10022026_15_11_13_004390m0.jpg 0.001 for time 1, id_amount 3 this amount prod time diff : 0.001'} Production hashtag (incorrect ponderation at 20-10-18) : 0.16800101709365847 We filter photos on hashtag condition ! We filter photos on hashtag condition ! hashtag non trouvé ! hashtag non trouvé ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We filter photos on hashtag condition ! We have rejected 44 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 12 list_same_port_ids : [30355431] find same portfolio which already exist 30355431 , we will use it list_same_port_ids : [30355866] find same portfolio which already exist 30355866 , we will use it list_same_port_ids : [30355867] find same portfolio which already exist 30355867 , we will use it list_same_port_ids : [30355867] find same portfolio which already exist 30355867 , we will use it list_same_port_ids : [30355868] find same portfolio which already exist 30355868 , we will use it list_same_port_ids : [30355869] find same portfolio which already exist 30355869 , we will use it list_same_port_ids : [30355870] find same portfolio which already exist 30355870 , we will use it list_same_port_ids : [30355870] find same portfolio which already exist 30355870 , we will use it list_same_port_ids : [30357341] find same portfolio which already exist 30357341 , we will use it list_same_port_ids : [30357341] find same portfolio which already exist 30357341 , we will use it list_same_port_ids : [30357342] find same portfolio which already exist 30357342 , we will use it list_same_port_ids : [30357343] find same portfolio which already exist 30357343 , we will use it Qualite : 0.04101609941515389 # 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 ! 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 11512 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11521 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11520 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11516 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11516 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11519 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11519 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11513 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11577 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11577 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11515 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11514 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11514 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11523 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11515 doesn't seem to be define in the database( WARNING : type of input 3 of step 11514 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11512 doesn't seem to be define in the database( WARNING : type of input 2 of step 11516 doesn't seem to be define in the database( WARNING : output 1 of step 11512 have datatype=2 whereas input 1 of step 11519 have datatype=7 WARNING : type of output 2 of step 11519 doesn't seem to be define in the database( WARNING : type of input 1 of step 11513 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11515 have datatype=10 whereas input 3 of step 11522 have datatype=6 WARNING : type of input 2 of step 11577 doesn't seem to be define in the database( WARNING : output 1 of step 11513 have datatype=7 whereas input 2 of step 11577 have datatype=None WARNING : type of output 3 of step 11577 doesn't seem to be define in the database( WARNING : type of input 1 of step 11515 doesn't seem to be define in the database( WARNING : output 0 of step 11515 have datatype=10 whereas input 0 of step 11583 have datatype=18 WARNING : type of input 5 of step 11522 doesn't seem to be define in the database( WARNING : output 0 of step 11583 have datatype=11 whereas input 5 of step 11522 have datatype=None WARNING : type of output 1 of step 11521 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : type of output 1 of step 11520 doesn't seem to be define in the database( WARNING : type of input 3 of step 11516 doesn't seem to be define in the database( WARNING : output 0 of step 11519 have datatype=1 whereas input 0 of step 11513 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`=30355431 AND mptpi.`type`=4203 To do Qualite : 0.09004141807507353 # 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 ! 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 11524 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11533 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11532 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11528 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11528 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11531 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11531 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11525 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11578 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11578 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11527 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11526 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11526 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11535 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11527 doesn't seem to be define in the database( WARNING : type of input 3 of step 11526 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11524 doesn't seem to be define in the database( WARNING : type of input 2 of step 11528 doesn't seem to be define in the database( WARNING : output 1 of step 11524 have datatype=2 whereas input 1 of step 11531 have datatype=7 WARNING : type of output 2 of step 11531 doesn't seem to be define in the database( WARNING : type of input 1 of step 11525 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11527 have datatype=10 whereas input 3 of step 11534 have datatype=6 WARNING : type of input 2 of step 11578 doesn't seem to be define in the database( WARNING : output 1 of step 11525 have datatype=7 whereas input 2 of step 11578 have datatype=None WARNING : type of output 3 of step 11578 doesn't seem to be define in the database( WARNING : type of input 1 of step 11527 doesn't seem to be define in the database( WARNING : output 0 of step 11527 have datatype=10 whereas input 0 of step 11584 have datatype=18 WARNING : type of input 5 of step 11534 doesn't seem to be define in the database( WARNING : output 0 of step 11584 have datatype=11 whereas input 5 of step 11534 have datatype=None WARNING : type of output 1 of step 11533 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : type of output 1 of step 11532 doesn't seem to be define in the database( WARNING : type of input 3 of step 11528 doesn't seem to be define in the database( WARNING : output 0 of step 11531 have datatype=1 whereas input 0 of step 11525 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`=30355866 AND mptpi.`type`=4211 To do Qualite : 0.04885813445010331 # 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 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`=30355867 AND mptpi.`type`=4207 To do Qualite : 0.04885813445010331 # 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 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`=30355867 AND mptpi.`type`=4207 To do Qualite : 0.2521255189961787 # 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 ! 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 7928 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 8092 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 8092 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7933 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 7935 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 7934 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 7934 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 13649 velours_tree is not consistent : 2 used against 1 in the step definition ! Step 9283 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 7935 doesn't seem to be define in the database( WARNING : type of input 3 of step 7934 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 1 of step 7935 doesn't seem to be define in the database( WARNING : output 1 of step 7933 have datatype=7 whereas input 1 of step 7935 have datatype=None WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 2 of step 8092 doesn't seem to be define in the database( WARNING : type of output 3 of step 8092 doesn't seem to be define in the database( WARNING : type of input 1 of step 7933 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10917 doesn't seem to be define in the database( WARNING : type of output 2 of step 7928 doesn't seem to be define in the database( WARNING : type of input 1 of step 10918 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 7935 have datatype=10 whereas input 3 of step 10916 have datatype=6 WARNING : output 0 of step 7935 have datatype=10 whereas input 0 of step 13649 have datatype=18 WARNING : type of output 1 of step 13649 doesn't seem to be define in the database( WARNING : type of input 5 of step 10916 doesn't seem to be define in the database( DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=30355868 AND mptpi.`type`=3594 To do Qualite : 0.08764898000312815 # 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 11560 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11567 mask_detect have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11567 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11563 crop_condition is not consistent : 4 used against 2 in the step definition ! Step 11563 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11564 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11564 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11565 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11573 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11573 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11568 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11566 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11566 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 11560 doesn't seem to be define in the database( WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 1 of step 11560 have datatype=2 whereas input 1 of step 11564 have datatype=7 WARNING : type of output 2 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11565 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11567 doesn't seem to be define in the database( WARNING : type of input 3 of step 11563 doesn't seem to be define in the database( WARNING : type of output 3 of step 11564 doesn't seem to be define in the database( WARNING : type of input 1 of step 11568 doesn't seem to be define in the database( WARNING : type of output 1 of step 11568 doesn't seem to be define in the database( WARNING : type of input 3 of step 11566 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11570 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of input 2 of step 11563 doesn't seem to be define in the database( WARNING : output 0 of step 11569 have datatype=6 whereas input 2 of step 11563 have datatype=None WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11570 doesn't seem to be define in the database( WARNING : type of output 2 of step 11560 doesn't seem to be define in the database( WARNING : type of input 1 of step 11569 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11568 have datatype=10 whereas input 3 of step 11571 have datatype=6 WARNING : type of input 2 of step 11573 doesn't seem to be define in the database( WARNING : output 1 of step 11565 have datatype=7 whereas input 2 of step 11573 have datatype=None WARNING : type of output 3 of step 11573 doesn't seem to be define in the database( WARNING : type of input 3 of step 11568 doesn't seem to be define in the database( WARNING : output 0 of step 11568 have datatype=10 whereas input 0 of step 11587 have datatype=18 WARNING : type of input 5 of step 11571 doesn't seem to be define in the database( WARNING : output 0 of step 11587 have datatype=11 whereas input 5 of step 11571 have datatype=None WARNING : output 0 of step 11564 have datatype=1 whereas input 0 of step 11565 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`=30355869 AND mptpi.`type`=3327 To do Qualite : 0.10248537201261829 # 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 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`=30355870 AND mptpi.`type`=4207 To do Qualite : 0.10248537201261829 # 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 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`=30355870 AND mptpi.`type`=4207 To do Qualite : 0.10740770457631856 # 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 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`=30357341 AND mptpi.`type`=4207 To do Qualite : 0.10740770457631856 # 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 ! 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 11500 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11508 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11509 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11504 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11504 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11507 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11507 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11501 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11576 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11576 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11503 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11502 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11502 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11511 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11503 doesn't seem to be define in the database( WARNING : type of input 3 of step 11502 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11500 doesn't seem to be define in the database( WARNING : type of input 2 of step 11504 doesn't seem to be define in the database( WARNING : output 1 of step 11500 have datatype=2 whereas input 1 of step 11507 have datatype=7 WARNING : type of output 2 of step 11507 doesn't seem to be define in the database( WARNING : type of input 1 of step 11501 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11503 have datatype=10 whereas input 3 of step 11510 have datatype=6 WARNING : type of input 2 of step 11576 doesn't seem to be define in the database( WARNING : output 1 of step 11501 have datatype=7 whereas input 2 of step 11576 have datatype=None WARNING : type of output 3 of step 11576 doesn't seem to be define in the database( WARNING : type of input 1 of step 11503 doesn't seem to be define in the database( WARNING : output 0 of step 11503 have datatype=10 whereas input 0 of step 11582 have datatype=18 WARNING : type of input 5 of step 11510 doesn't seem to be define in the database( WARNING : output 0 of step 11582 have datatype=11 whereas input 5 of step 11510 have datatype=None WARNING : type of output 1 of step 11508 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : type of output 1 of step 11509 doesn't seem to be define in the database( WARNING : type of input 3 of step 11504 doesn't seem to be define in the database( WARNING : output 0 of step 11507 have datatype=1 whereas input 0 of step 11501 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`=30357341 AND mptpi.`type`=4207 To do Qualite : 0.16372859104767118 # 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 ! 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 11548 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11556 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11557 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11552 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11552 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11555 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11555 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11549 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11580 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11580 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11551 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11550 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11550 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11559 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11551 doesn't seem to be define in the database( WARNING : type of input 3 of step 11550 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11548 doesn't seem to be define in the database( WARNING : type of input 2 of step 11552 doesn't seem to be define in the database( WARNING : output 1 of step 11548 have datatype=2 whereas input 1 of step 11555 have datatype=7 WARNING : type of output 2 of step 11555 doesn't seem to be define in the database( WARNING : type of input 1 of step 11549 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11551 have datatype=10 whereas input 3 of step 11558 have datatype=6 WARNING : type of input 2 of step 11580 doesn't seem to be define in the database( WARNING : output 1 of step 11549 have datatype=7 whereas input 2 of step 11580 have datatype=None WARNING : type of output 3 of step 11580 doesn't seem to be define in the database( WARNING : type of input 1 of step 11551 doesn't seem to be define in the database( WARNING : output 0 of step 11551 have datatype=10 whereas input 0 of step 11586 have datatype=18 WARNING : type of input 5 of step 11558 doesn't seem to be define in the database( WARNING : output 0 of step 11586 have datatype=11 whereas input 5 of step 11558 have datatype=None WARNING : type of output 1 of step 11556 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : type of output 1 of step 11557 doesn't seem to be define in the database( WARNING : type of input 3 of step 11552 doesn't seem to be define in the database( WARNING : output 0 of step 11555 have datatype=1 whereas input 0 of step 11549 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`=30357342 AND mptpi.`type`=4200 To do Qualite : 0.20329948083387983 # 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 ! 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 11978 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11987 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11986 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11982 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11982 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11985 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11985 merge_mask_thcl_custom is not consistent : 3 used against 2 in the step definition ! WARNING : number of inputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11979 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11990 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11990 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11981 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11980 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11980 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11989 split_time_score have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 1 of step 11981 doesn't seem to be define in the database( WARNING : type of input 3 of step 11980 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11978 doesn't seem to be define in the database( WARNING : type of input 2 of step 11982 doesn't seem to be define in the database( WARNING : output 1 of step 11978 have datatype=2 whereas input 1 of step 11985 have datatype=7 WARNING : type of output 2 of step 11985 doesn't seem to be define in the database( WARNING : type of input 1 of step 11979 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11981 have datatype=10 whereas input 3 of step 11988 have datatype=6 WARNING : type of input 2 of step 11990 doesn't seem to be define in the database( WARNING : output 1 of step 11979 have datatype=7 whereas input 2 of step 11990 have datatype=None WARNING : type of output 3 of step 11990 doesn't seem to be define in the database( WARNING : type of input 1 of step 11981 doesn't seem to be define in the database( WARNING : output 0 of step 11981 have datatype=10 whereas input 0 of step 11991 have datatype=18 WARNING : type of input 5 of step 11988 doesn't seem to be define in the database( WARNING : output 0 of step 11991 have datatype=11 whereas input 5 of step 11988 have datatype=None WARNING : type of output 1 of step 11987 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : type of output 1 of step 11986 doesn't seem to be define in the database( WARNING : type of input 3 of step 11982 doesn't seem to be define in the database( WARNING : output 0 of step 11985 have datatype=1 whereas input 0 of step 11979 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`=30357343 AND mptpi.`type`=4461 To do elapsed_time : count_nb_balles_and_create_portfolio 132.09659337997437 # DISPLAY ALL COLLECTED DATA : {'10022026': {'nb_upload': 457, 'nb_taggue_class': 457, 'nb_taggue_densite': 457, 'nb_descriptors': 328, 'number_port': 41, 'count_photo_in_port': 303, 'nb_port_per_class': {'aluminium': {'nb_photos': 11, 'nb_portfolios': 8}, 'ela': {'nb_photos': 52, 'nb_portfolios': 7}, 'emr': {'nb_photos': 36, 'nb_portfolios': 4}, 'film_pedb': {'nb_photos': 34, 'nb_portfolios': 4}, 'flux_dev': {'nb_photos': 34, 'nb_portfolios': 1}, 'jrm': {'nb_photos': 16, 'nb_portfolios': 9}, 'pcm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcnc': {'nb_photos': 0, 'nb_portfolios': 0}, 'pehd_pp': {'nb_photos': 41, 'nb_portfolios': 3}, 'pet_clair': {'nb_photos': 58, 'nb_portfolios': 3}, 'refus': {'nb_photos': 21, 'nb_portfolios': 1}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 1}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1407522648, 1407522641, 1407522635, 1407522626, 1407522618, 1407522607, 1407522596, 1407522589, 1407522024, 1407521310, 1407521299, 1407519871, 1407513492, 1407508722, 1407502006, 1407498531, 1407494598, 1407490901, 1407487907, 1407487880, 1407487871, 1407487861, 1407487843, 1407487827, 1407487817, 1407485813, 1407485807, 1407485801, 1407485772, 1407485764, 1407485757, 1407485730, 1407485396, 1407484090, 1407484061, 1407484055, 1407483700, 1407483565, 1407483558, 1407483551, 1407481560, 1407480777, 1407480761, 1407480732, 1407480724, 1407480718, 1407478465, 1407478236, 1407478230, 1407475418, 1407475411, 1407475402, 1407474928, 1407474921, 1407474266, 1407472793, 1407472785, 1407472556, 1407471113, 1407471106, 1407471097, 1407468249, 1407468242, 1407468235, 1407468207, 1407468198, 1407468191, 1407468182, 1407468181, 1407468180, 1407468179, 1407468174, 1407468173, 1407468172, 1407468171, 1407468170, 1407468169, 1407468167, 1407468165, 1407468164, 1407468163, 1407468162, 1407468161, 1407468160, 1407468159, 1407468158, 1407468157, 1407468156, 1407468154, 1407468152, 1407468151, 1407468150, 1407468148, 1407468147, 1407468146, 1407468143, 1407468142, 1407468141, 1407468140, 1407468139] Looping around the photos to save general results len do output : 1 /30353605Didn'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 ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407522648', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407522641', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407522635', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407522626', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407522618', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407522607', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407522596', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407522589', None, None, None, None, None, '4342556') ('4891', None, None, None, None, 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('4891', '30353605', '1407498531', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407494598', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407490901', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407487907', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407487880', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407487871', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407487861', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407487843', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407487827', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407487817', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407485813', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407485807', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407485801', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407485772', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407485764', None, None, None, None, None, 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'4342556') ('4891', '30353605', '1407480724', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407480718', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407478465', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407478236', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407478230', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407475418', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407475411', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', 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None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468191', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468182', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468181', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468180', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468179', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468174', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468173', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468172', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468171', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468170', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468169', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468167', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468165', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468164', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', 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None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468154', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468152', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468151', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468150', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468148', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468147', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468146', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468143', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468142', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468141', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468140', None, None, None, None, None, '4342556') ('4891', None, None, None, None, None, None, None, '4342556') ('4891', '30353605', '1407468139', None, None, None, None, None, '4342556') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.0373530387878418 save_final save missing photos in datou_result : time spend for datou_step_exec : 155.51838302612305 time spend to save output : 0.03941059112548828 total time spend for step 1 : 155.55779361724854 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 2.64user 0.87system 2:39.78elapsed 2%CPU (0avgtext+0avgdata 112924maxresident)k 120592inputs+3064outputs (11147major+57447minor)pagefaults 0swaps