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 : 896535 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 updating current state to 1 list_input_json: [] Current got : datou_id : 4891, datou_cur_ids : ['2890853'] with mtr_portfolio_ids : ['23084507'] and first list_photo_ids : [] new path : /proc/896535/ 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 : 0.05927896499633789 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Mon May 19 08:40:29 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 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', 4), ('01', 4), ('02', 6), ('03', 3), ('04', 6), ('05', 4), ('06', 2), ('07', 6), ('08', 3), ('09', 4), ('10', 4), ('11', 2), ('12', 6), ('13', 3), ('14', 4), ('15', 4), ('16', 2), ('17', 6), ('18', 2), ('19', 5), ('20', 5), ('21', 7), ('22', 3), ('23', 6)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 90} 17052025 23084507 Nombre de photos uploadées : 101 / 23040 (0%) 17052025 23084507 Nombre de photos taguées (types de déchets): 90 / 101 (89%) 17052025 23084507 Nombre de photos taguées (volume) : 90 / 101 (89%) elapsed_time : load_data_split_time_score 2.6226043701171875e-06 elapsed_time : order_list_meta_photo_and_scores 4.458427429199219e-05 ??????????? elapsed_time : fill_and_build_computed_from_old_data 0.0052645206451416016 elapsed_time : insert_dashboard_record_day_entry 0.04073023796081543 Creating list_photo_total elapsed_time : select_descriptors 0.012270927429199219 17052025 23084507 Nombre de photos avec descriptors (type 6092) : 0 / 11 (0%) Missing descriptors for photos 0 and 1359068575 0:00:00|ON:Missing descriptors for photos 1359068575 and 1359068793 Missing descriptors for photos 1359068793 and 1359069028 Missing descriptors for photos 1359069028 and 1359069235 Missing descriptors for photos 1359069235 and 1359069439 Missing descriptors for photos 1359069439 and 1359069906 Missing descriptors for photos 1359069906 and 1359069649 Missing descriptors for photos 1359069649 and 1359073190 Missing descriptors for photos 1359073190 and 1359070945 Missing descriptors for photos 1359070945 and 1359071221 Missing descriptors for photos 1359071221 and 1359071490 Missing descriptors for photos 1359071490 and 1359071776 Missing descriptors for photos 1359071776 and 1359072080 Missing descriptors for photos 1359072080 and 1359072584 Missing descriptors for photos 1359072584 and 1359077082 Missing descriptors for photos 1359077082 and 1359074905 Missing descriptors for photos 1359074905 and 1359075278 Missing descriptors for photos 1359075278 and 1359075518 Missing descriptors for photos 1359075518 and 1359075940 Missing descriptors for photos 1359075940 and 1359076867 Missing descriptors for photos 1359076867 and 1359077283 Missing descriptors for photos 1359077283 and 1359077135 Missing descriptors for photos 1359077135 and 1359082342 Missing descriptors for photos 1359082342 and 1359078430 Missing descriptors for photos 1359078430 and 1359078663 Missing descriptors for photos 1359078663 and 1359078859 Missing descriptors for photos 1359078859 and 1359079055 Missing descriptors for photos 1359079055 and 1359079238 Missing descriptors for photos 1359079238 and 1359079421 Missing descriptors for photos 1359079421 and 1359080765 Missing descriptors for photos 1359080765 and 1359080984 Missing descriptors for photos 1359080984 and 1359081154 Missing descriptors for photos 1359081154 and 1359081353 Missing descriptors for photos 1359081353 and 1359081535 Missing descriptors for photos 1359081535 and 1359081747 Missing descriptors for photos 1359081747 and 1359093379 Missing descriptors for photos 1359093379 and 1359083141 Missing descriptors for photos 1359083141 and 1359083459 Missing descriptors for photos 1359083459 and 1359084107 Missing descriptors for photos 1359084107 and 1359084469 Missing descriptors for photos 1359084469 and 1359084939 Missing descriptors for photos 1359084939 and 1359085692 Missing descriptors for photos 1359085692 and 1359087714 Missing descriptors for photos 1359087714 and 1359088310 Missing descriptors for photos 1359088310 and 1359088597 Missing descriptors for photos 1359088597 and 1359088920 Missing descriptors for photos 1359088920 and 1359089733 Missing descriptors for photos 1359089733 and 1359089999 Missing descriptors for photos 1359089999 and 1359091728 Missing descriptors for photos 1359091728 and 1359091928 Missing descriptors for photos 1359091928 and 1359092121 Missing descriptors for photos 1359092121 and 1359092325 Missing descriptors for photos 1359092325 and 1359092589 Missing descriptors for photos 1359092589 and 1359092788 Missing descriptors for photos 1359092788 and 1359108352 Missing descriptors for photos 1359108352 and 1359094479 Missing descriptors for photos 1359094479 and 1359094810 Missing descriptors for photos 1359094810 and 1359095016 Missing descriptors for photos 1359095016 and 1359095632 Missing descriptors for photos 1359095632 and 1359095839 Missing descriptors for photos 1359095839 and 1359096222 Missing descriptors for photos 1359096222 and 1359098917 Missing descriptors for photos 1359098917 and 1359099151 Missing descriptors for photos 1359099151 and 1359099679 Missing descriptors for photos 1359099679 and 1359099985 Missing descriptors for photos 1359099985 and 1359100225 Missing descriptors for photos 1359100225 and 1359100499 Missing descriptors for photos 1359100499 and 1359103422 Missing descriptors for photos 1359103422 and 1359103720 Missing descriptors for photos 1359103720 and 1359104284 Missing descriptors for photos 1359104284 and 1359104571 Missing descriptors for photos 1359104571 and 1359104753 Missing descriptors for photos 1359104753 and 1359104951 Missing descriptors for photos 1359104951 and 1359106525 Missing descriptors for photos 1359106525 and 1359106660 Missing descriptors for photos 1359106660 and 1359106825 Missing descriptors for photos 1359106825 and 1359107008 Missing descriptors for photos 1359107008 and 1359107507 Missing descriptors for photos 1359107507 and 1359107880 Missing descriptors for photos 1359107880 and 1359109555 Missing descriptors for photos 1359109555 and 1359109386 Missing descriptors for photos 1359109386 and 1359110398 Missing descriptors for photos 1359110398 and 1359109574 Missing descriptors for photos 1359109574 and 1359109823 Missing descriptors for photos 1359109823 and 1359110014 Missing descriptors for photos 1359110014 and 1359110226 Missing descriptors for photos 1359110226 and 1359115421 Missing descriptors for photos 1359115421 and 1359110458 Missing descriptors for photos 1359110458 and 1359111691 Missing descriptors for photos 1359111691 and 1359112393 Missing descriptors for photos 1359112393 and 1359113617 Missing descriptors for photos 1359113617 and 1359114158 Missing descriptors for photos 1359114158 and 1359117100 Missing descriptors for photos 1359117100 and 1359117297 Missing descriptors for photos 1359117297 and 1359118206 Missing descriptors for photos 1359118206 and 1359118260 Missing descriptors for photos 1359118260 and 1359118219 Missing descriptors for photos 1359118219 and 1359126133 Missing descriptors for photos 1359126133 and 1359118490 Missing descriptors for photos 1359118490 and 1359124699 Missing descriptors for photos 1359124699 and 1359125006 17052025 Removing 0 photos because of the 'same image' condition Total on : 0 Total off : 0.0 list_time_off Warning in study_and_display_distrib_list : min=max : 0.0 0.0 dist_desc Warning in study_and_display_distrib_list : min=max : -1 -1 begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 101 time used for this insertion : 0.13759303092956543 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.1689460277557373 Creating list_photo_total Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null Warning list_scores null ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! elapsed_time : count_sum_diff_and_build_graph 0.003744840621948242 Total photos : 101 .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 .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 .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 : 101 Number of lists : 0 counter photos in port : 0 hashtag : aluminium(493546845) : 0 photos in 0 portfolios ! hashtag : ela(492741797) : 0 photos in 0 portfolios ! hashtag : emr(616987804) : 0 photos in 0 portfolios ! hashtag : film_pedb(2107760237) : 0 photos in 0 portfolios ! hashtag : flux_dev(2107760238) : 0 photos in 0 portfolios ! hashtag : jrm(495916461) : 0 photos in 0 portfolios ! hashtag : pcm(560181804) : 0 photos in 0 portfolios ! hashtag : pcnc(1284539308) : 0 photos in 0 portfolios ! hashtag : pehd_pp(2107760239) : 0 photos in 0 portfolios ! hashtag : pet_clair(2107755846) : 0 photos in 0 portfolios ! hashtag : refus(538914404) : 0 photos in 0 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 0 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.004346132278442383 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 2.6226043701171875e-06 today str has not a value , we define it as the date of the first image todaystr_first : 17052025 attention , prev_timestamp is 0 , we do nothing **************************************************Unexpected type of data : ({'photo_id': 1359092325, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/17/9d6b9a9cadb68a8c4b61f6bd4f56b95b.jpg', 'username': None, 'uploaded_at': 1747478122, 'text': 'image_17052025_12_34_38_10391.jpg', 'time': 1747485278.010391}, 'different') ***********Unexpected type of data : ({'photo_id': 1359099679, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/17/b68572ec1b92e92c16457f76faa3a0c6.jpg', 'username': None, 'uploaded_at': 1747489563, 'text': 'image_17052025_15_45_27_9099.jpg', 'time': 1747496727.009099}, 'different') *Unexpected type of data : ({'photo_id': 1359100225, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/17/48f2a87a56e721760e1e75911098ff44.jpg', 'username': None, 'uploaded_at': 1747490643, 'text': 'image_17052025_16_03_47_9252.jpg', 'time': 1747497827.009252}, 'different') ******Unexpected type of data : ({'photo_id': 1359104951, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/17/4f430d542cdb394dd961035e867400b9.jpg', 'username': None, 'uploaded_at': 1747497202, 'text': 'image_17052025_17_52_57_10421.jpg', 'time': 1747504377.010421}, 'different') *Unexpected type of data : ({'photo_id': 1359106660, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/17/ed11ac4aef18ae78766173ce0df90339.jpg', 'username': None, 'uploaded_at': 1747501042, 'text': 'image_17052025_18_56_17_9123.jpg', 'time': 1747508177.009123}, 'different') Unexpected type of data : ({'photo_id': 1359106825, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/17/6208a47d35d7cad4c54167027f616c85.jpg', 'username': None, 'uploaded_at': 1747501582, 'text': 'image_17052025_19_05_28_10403.jpg', 'time': 1747508728.010403}, 'different') Unexpected type of data : ({'photo_id': 1359107008, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/17/d0ce51895c96fb41a01300fead0c5dce.jpg', 'username': None, 'uploaded_at': 1747502103, 'text': 'image_17052025_19_14_37_9129.jpg', 'time': 1747509277.009129}, 'different') ****************Unexpected type of data : ({'photo_id': 1359117297, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/17/ff88b0d3c9807a0c065bf011350fad05.jpg', 'username': None, 'uploaded_at': 1747514303, 'text': 'image_17052025_22_28_48_10260.jpg', 'time': 1747520928.01026}, 'different') Unexpected type of data : ({'photo_id': 1359118206, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/17/852d472044238f1a6d387fae0d7d0c48.jpg', 'username': None, 'uploaded_at': 1747515922, 'text': 'image_17052025_22_37_27_10216.jpg', 'time': 1747521447.010216}, 'different') *Unexpected type of data : ({'photo_id': 1359118219, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/17/dbb2eb208c59d5a67e696a68d1d3f692.jpg', 'username': None, 'uploaded_at': 1747515963, 'text': 'image_17052025_23_05_07_9304.jpg', 'time': 1747523107.009304}, 'different') ***Unexpected type of data : ({'photo_id': 1359125006, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/5/18/557c2df0b3a74ec843ccecf10acbdceb.jpg', 'username': None, 'uploaded_at': 1747519204, 'text': 'image_17052025_23_58_47_10182.jpg', 'time': 1747526327.010182}, 'different') Count Time bigger than 30s : 89 #Number Photos for regression : {'17052025': {493546845: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 560181804: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 199.9988522529602, 2107751016: 0, 2107751017: 0}}} 17052025|aluminium, 05102018_papier_non_papier_dense:0 17052025|aluminium, 05102018_papier_non_papier_peu_dense:0 17052025|aluminium, 05102018_papier_non_papier_presque_vide:0 17052025|aluminium, 05102018_papier_non_papier_tres_dense:0 17052025|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 17052025|ela, 05102018_papier_non_papier_dense:0 17052025|ela, 05102018_papier_non_papier_peu_dense:0 17052025|ela, 05102018_papier_non_papier_presque_vide:0 17052025|ela, 05102018_papier_non_papier_tres_dense:0 17052025|ela, 05102018_papier_non_papier_tres_peu_dense:0 17052025|emr, 05102018_papier_non_papier_dense:0 17052025|emr, 05102018_papier_non_papier_peu_dense:0 17052025|emr, 05102018_papier_non_papier_presque_vide:0 17052025|emr, 05102018_papier_non_papier_tres_dense:0 17052025|emr, 05102018_papier_non_papier_tres_peu_dense:0 17052025|film_pedb, 05102018_papier_non_papier_dense:0 17052025|film_pedb, 05102018_papier_non_papier_peu_dense:0 17052025|film_pedb, 05102018_papier_non_papier_presque_vide:0 17052025|film_pedb, 05102018_papier_non_papier_tres_dense:0 17052025|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 17052025|flux_dev, 05102018_papier_non_papier_dense:0 17052025|flux_dev, 05102018_papier_non_papier_peu_dense:0 17052025|flux_dev, 05102018_papier_non_papier_presque_vide:0 17052025|flux_dev, 05102018_papier_non_papier_tres_dense:0 17052025|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 17052025|jrm, 05102018_papier_non_papier_dense:0 17052025|jrm, 05102018_papier_non_papier_peu_dense:0 17052025|jrm, 05102018_papier_non_papier_presque_vide:0 17052025|jrm, 05102018_papier_non_papier_tres_dense:0 17052025|jrm, 05102018_papier_non_papier_tres_peu_dense:0 17052025|pcm, 05102018_papier_non_papier_dense:0 17052025|pcm, 05102018_papier_non_papier_peu_dense:0 17052025|pcm, 05102018_papier_non_papier_presque_vide:0 17052025|pcm, 05102018_papier_non_papier_tres_dense:0 17052025|pcm, 05102018_papier_non_papier_tres_peu_dense:0 17052025|pcnc, 05102018_papier_non_papier_dense:0 17052025|pcnc, 05102018_papier_non_papier_peu_dense:0 17052025|pcnc, 05102018_papier_non_papier_presque_vide:0 17052025|pcnc, 05102018_papier_non_papier_tres_dense:0 17052025|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 17052025|pehd_pp, 05102018_papier_non_papier_dense:0 17052025|pehd_pp, 05102018_papier_non_papier_peu_dense:0 17052025|pehd_pp, 05102018_papier_non_papier_presque_vide:0 17052025|pehd_pp, 05102018_papier_non_papier_tres_dense:0 17052025|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 17052025|pet_clair, 05102018_papier_non_papier_dense:0 17052025|pet_clair, 05102018_papier_non_papier_peu_dense:0 17052025|pet_clair, 05102018_papier_non_papier_presque_vide:0 17052025|pet_clair, 05102018_papier_non_papier_tres_dense:0 17052025|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 17052025|refus, 05102018_papier_non_papier_dense:0 17052025|refus, 05102018_papier_non_papier_peu_dense:0 17052025|refus, 05102018_papier_non_papier_presque_vide:0 17052025|refus, 05102018_papier_non_papier_tres_dense:0 17052025|refus, 05102018_papier_non_papier_tres_peu_dense:0 17052025|tapis_vide, 05102018_papier_non_papier_dense:0 17052025|tapis_vide, 05102018_papier_non_papier_peu_dense:0 17052025|tapis_vide, 05102018_papier_non_papier_presque_vide:199.9988522529602 17052025|tapis_vide, 05102018_papier_non_papier_tres_dense:0 17052025|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 ! 17052025_time_diff_distrib Number amount portfolio for this type of dechet : aluminium 0 Number amount portfolio for this type of dechet : ela 0 Number amount portfolio for this type of dechet : emr 0 Number amount portfolio for this type of dechet : film_pedb 0 Number amount portfolio for this type of dechet : flux_dev 0 Number amount portfolio for this type of dechet : jrm 0 Number amount portfolio for this type of dechet : pcm 0 Number amount portfolio for this type of dechet : pcnc 0 Number amount portfolio for this type of dechet : pehd_pp 0 Number amount portfolio for this type of dechet : pet_clair 0 Number amount portfolio for this type of dechet : refus 0 Number amount portfolio for this type of dechet : tapis_vide 2 https://marlene.fotonower.com/api/v1/secured/portfolio/new?name=17052025_tapis_vide_05102018_papier_non_papier_presque_vide&access_token=e7e3b500bcaff4304bc4fea92faa736f Created to study and clean : 23103797 with name like 17052025_tapis_vide_05102018_papier_non_papier_presque_vide NUMBER BATCH : 0 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 have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 1.4875688552856445 # DISPLAY ALL COLLECTED DATA : {'17052025': {'nb_upload': 101, 'nb_taggue_class': 90, 'nb_taggue_densite': 90, 'nb_descriptors': 0, 'number_port': 0, 'count_photo_in_port': 0, 'nb_port_per_class': {'aluminium': {'nb_photos': 0, 'nb_portfolios': 0}, 'ela': {'nb_photos': 0, 'nb_portfolios': 0}, 'emr': {'nb_photos': 0, 'nb_portfolios': 0}, 'film_pedb': {'nb_photos': 0, 'nb_portfolios': 0}, 'flux_dev': {'nb_photos': 0, 'nb_portfolios': 0}, 'jrm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcnc': {'nb_photos': 0, 'nb_portfolios': 0}, 'pehd_pp': {'nb_photos': 0, 'nb_portfolios': 0}, 'pet_clair': {'nb_photos': 0, 'nb_portfolios': 0}, 'refus': {'nb_photos': 0, 'nb_portfolios': 0}, 'tapis_vide': {'nb_photos': 0, 'nb_portfolios': 0}}}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1359126133, 1359125006, 1359124699, 1359118490, 1359118260, 1359118219, 1359118206, 1359117297, 1359117100, 1359115421, 1359114158, 1359113617, 1359112393, 1359111691, 1359110458, 1359110398, 1359110226, 1359110014, 1359109823, 1359109574, 1359109555, 1359109386, 1359108352, 1359107880, 1359107507, 1359107008, 1359106825, 1359106660, 1359106525, 1359104951, 1359104753, 1359104571, 1359104284, 1359103720, 1359103422, 1359100499, 1359100225, 1359099985, 1359099679, 1359099151, 1359098917, 1359096222, 1359095839, 1359095632, 1359095016, 1359094810, 1359094479, 1359093379, 1359092788, 1359092589, 1359092325, 1359092121, 1359091928, 1359091728, 1359089999, 1359089733, 1359088920, 1359088597, 1359088310, 1359087714, 1359085692, 1359084939, 1359084469, 1359084107, 1359083459, 1359083141, 1359082342, 1359081747, 1359081535, 1359081353, 1359081154, 1359080984, 1359080765, 1359079421, 1359079238, 1359079055, 1359078859, 1359078663, 1359078430, 1359077283, 1359077135, 1359077082, 1359076867, 1359075940, 1359075518, 1359075278, 1359074905, 1359073190, 1359072584, 1359072080, 1359071776, 1359071490, 1359071221, 1359070945, 1359069906, 1359069649, 1359069439, 1359069235, 1359069028, 1359068793] Looping around the photos to save general results len do output : 1 /23084507Didn'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, '2890853') ('4891', '23084507', '1359126133', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359125006', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359124699', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', 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None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359081353', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359081154', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359080984', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359080765', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359079421', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359079238', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359079055', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359078859', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359078663', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359078430', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359077283', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359077135', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359077082', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359076867', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359075940', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359075518', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359075278', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359074905', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359073190', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359072584', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359072080', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359071776', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359071490', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359071221', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359070945', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359069906', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359069649', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359069439', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359069235', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359069028', None, None, None, None, None, '2890853') ('4891', None, None, None, None, None, None, None, '2890853') ('4891', '23084507', '1359068793', None, None, None, None, None, '2890853') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.8340129852294922 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.8311681747436523 time spend to save output : 0.8348910808563232 total time spend for step 1 : 2.6660592555999756 caffe_path_current : About to save ! 2 After save, about to update current ! ret : 2 len(input) + len(total_photo_id_missing) : 1 set_done_treatment 1.62user 0.81system 0:06.58elapsed 36%CPU (0avgtext+0avgdata 100760maxresident)k 0inputs+96outputs (0major+58561minor)pagefaults 0swaps