python /home/admin/mtr/script_for_cron.py -j datou_current3 -m 20 -a ' -a 4323' -s datou_current_4323 -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 : 2394864 load datou : 4323 # 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 : 4323, datou_cur_ids : ['3531624'] with mtr_portfolio_ids : ['25975740'] and first list_photo_ids : [] new path : /proc/2394864/ Inside batchDatouExec : verbose : 0 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! We are managing only one step so we do not consider checkConsistencyNbInputNbOutput ! We are managing only one step so we do not consider checkConsistencyTypeOutputInput ! List Step Type Loaded in datou : split_time_score over limit max, limiting to limit_max 100 list_input_json : {} origin We have 1 , we have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB time to download the photos : 0.015890836715698242 About to test input to load Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 1 step1:split_time_score Thu Aug 14 10:40:28 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec begin split time score 2022-04-13 10:29:59 0 TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 3847, 'mtr_user_id': 31, 'name': 'learn_MM_generique_050224', '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': '13096157,13096155,13096163,13096159,13301956,13095886,13096162,13096160,13358264,13096158,5515868,13276803', 'photo_hashtag_type': 4932, 'photo_desc_type': 6032, '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', 17), ('04', 12)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} 14082025 25975740 Nombre de photos uploadées : 29 / 23040 (0%) 14082025 25975740 Nombre de photos taguées (types de déchets): 0 / 29 (0%) 14082025 25975740 Nombre de photos taguées (volume) : 0 / 29 (0%) elapsed_time : load_data_split_time_score 3.0994415283203125e-06 elapsed_time : order_list_meta_photo_and_scores 1.239776611328125e-05 ????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.0015842914581298828 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.21491789817810059 Creating list_photo_total elapsed_time : select_descriptors 0.009680986404418945 14082025 25975740 Nombre de photos avec descriptors (type 6032) : 0 / 29 (0%) Missing descriptors for photos 0 and 1376976961 0:00:00|ON:Missing descriptors for photos 1376976961 and 1376976965 Missing descriptors for photos 1376976965 and 1376976971 Missing descriptors for photos 1376976971 and 1376976976 Missing descriptors for photos 1376976976 and 1376976981 Missing descriptors for photos 1376976981 and 1376976985 Missing descriptors for photos 1376976985 and 1376977102 Missing descriptors for photos 1376977102 and 1376977104 Missing descriptors for photos 1376977104 and 1376977109 Missing descriptors for photos 1376977109 and 1376977114 Missing descriptors for photos 1376977114 and 1376977119 Missing descriptors for photos 1376977119 and 1376977147 Missing descriptors for photos 1376977147 and 1376977404 Missing descriptors for photos 1376977404 and 1376977409 Missing descriptors for photos 1376977409 and 1376977428 Missing descriptors for photos 1376977428 and 1376977476 Missing descriptors for photos 1376977476 and 1376977486 Missing descriptors for photos 1376977486 and 1376977633 Missing descriptors for photos 1376977633 and 1376977631 Missing descriptors for photos 1376977631 and 1376977040 Missing descriptors for photos 1376977040 and 1376977553 Missing descriptors for photos 1376977553 and 1376977034 Missing descriptors for photos 1376977034 and 1376977551 Missing descriptors for photos 1376977551 and 1376977026 Missing descriptors for photos 1376977026 and 1376977548 Missing descriptors for photos 1376977548 and 1376977019 Missing descriptors for photos 1376977019 and 1376977086 Missing descriptors for photos 1376977086 and 1376977490 Missing descriptors for photos 1376977490 and 1376977545 14082025 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 : 29 time used for this insertion : 0.01490330696105957 photos_removed : len 0 elapsed_time : remove_photo_duplicate 0.038742780685424805 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 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 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 ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! elapsed_time : count_sum_diff_and_build_graph 0.008935213088989258 Total photos : 29 Total photos : 29 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 0.0003132820129394531 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 1.9073486328125e-06 Unexpected type of data : ({'photo_id': 1376976961, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/8951d28d543588f1bf33a7c6cae297e0.jpg', 'username': None, 'uploaded_at': 1755160443, 'text': 'image_14082025_00_00_15_10123.jpg', 'time': 1755129615.010123}, 'different') Unexpected type of data : ({'photo_id': 1376976965, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/157b4a2bf8c36691786415f608a4e253.jpg', 'username': None, 'uploaded_at': 1755160443, 'text': 'image_14082025_00_00_35_9974.jpg', 'time': 1755129635.009974}, 'different') Unexpected type of data : ({'photo_id': 1376976971, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/f73da5e7fd8cd88ac09b71c538beb43d.jpg', 'username': None, 'uploaded_at': 1755160443, 'text': 'image_14082025_00_00_57_11952.jpg', 'time': 1755129657.011952}, 'different') Unexpected type of data : ({'photo_id': 1376976976, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/74f8f791111f106475cb2a133e1c93f4.jpg', 'username': None, 'uploaded_at': 1755160443, 'text': 'image_14082025_00_01_05_7513.jpg', 'time': 1755129665.007513}, 'different') Unexpected type of data : ({'photo_id': 1376976981, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/363331cb005709e92e945dc93ef8f351.jpg', 'username': None, 'uploaded_at': 1755160443, 'text': 'image_14082025_00_01_15_10209.jpg', 'time': 1755129675.010209}, 'different') Unexpected type of data : ({'photo_id': 1376976985, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/66444801ce6ef38b8a5d7f4ee1487118.jpg', 'username': None, 'uploaded_at': 1755160443, 'text': 'image_14082025_00_01_35_10121.jpg', 'time': 1755129695.010121}, 'different') Unexpected type of data : ({'photo_id': 1376977102, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/e86c80ea77f159df68a29809fe5a7160.jpg', 'username': None, 'uploaded_at': 1755160620, 'text': 'image_14082025_00_01_45_10173.jpg', 'time': 1755129705.010173}, 'different') Unexpected type of data : ({'photo_id': 1376977104, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/dac02ff7a09b792b96ee6558d051e837.jpg', 'username': None, 'uploaded_at': 1755160620, 'text': 'image_14082025_00_02_05_9321.jpg', 'time': 1755129725.009321}, 'different') Unexpected type of data : ({'photo_id': 1376977109, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/445656ade8eb72f4d92f398b712cf2b6.jpg', 'username': None, 'uploaded_at': 1755160620, 'text': 'image_14082025_00_02_15_10243.jpg', 'time': 1755129735.010243}, 'different') Unexpected type of data : ({'photo_id': 1376977114, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/b54ffd15f6577efa5d5cbd5ac444d392.jpg', 'username': None, 'uploaded_at': 1755160620, 'text': 'image_14082025_00_02_25_10112.jpg', 'time': 1755129745.010112}, 'different') Unexpected type of data : ({'photo_id': 1376977119, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/a81990a6709e962e76c68ec25f186df6.jpg', 'username': None, 'uploaded_at': 1755160620, 'text': 'image_14082025_00_02_45_10155.jpg', 'time': 1755129765.010155}, 'different') Unexpected type of data : ({'photo_id': 1376977147, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/38908586c7a1cbf3a651697de19885e8.jpg', 'username': None, 'uploaded_at': 1755160620, 'text': 'image_14082025_00_02_55_10172.jpg', 'time': 1755129775.010172}, 'different') Unexpected type of data : ({'photo_id': 1376977404, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/a9d9033105904a0e5318deb9472f7a3c.jpg', 'username': None, 'uploaded_at': 1755160702, 'text': 'image_14082025_00_03_05_9173.jpg', 'time': 1755129785.009173}, 'different') Unexpected type of data : ({'photo_id': 1376977409, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/5afff7a2a0aa35ec2705845f9653f135.jpg', 'username': None, 'uploaded_at': 1755160702, 'text': 'image_14082025_00_03_25_9908.jpg', 'time': 1755129805.009908}, 'different') Unexpected type of data : ({'photo_id': 1376977428, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/f253dd139bbc25ffd8054698da198471.jpg', 'username': None, 'uploaded_at': 1755160702, 'text': 'image_14082025_00_03_55_8962.jpg', 'time': 1755129835.008962}, 'different') Unexpected type of data : ({'photo_id': 1376977476, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/93abd0d74a7fd71dde7879c010cbe25b.jpg', 'username': None, 'uploaded_at': 1755160702, 'text': 'image_14082025_00_04_05_10461.jpg', 'time': 1755129845.010461}, 'different') Unexpected type of data : ({'photo_id': 1376977486, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/332adea3b3da99fde9805777c7980aeb.jpg', 'username': None, 'uploaded_at': 1755160702, 'text': 'image_14082025_00_04_15_10275.jpg', 'time': 1755129855.010275}, 'different') Unexpected type of data : ({'photo_id': 1376977633, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/761251723102eeee6110b9f2b521cd42.jpg', 'username': None, 'uploaded_at': 1755160772, 'text': 'image_14082025_04_51_25_10249.jpg', 'time': 1755147085.010249}, 'different') Unexpected type of data : ({'photo_id': 1376977631, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/36b7dcdeda0ee4fef5289c5ca391185d.jpg', 'username': None, 'uploaded_at': 1755160772, 'text': 'image_14082025_04_51_45_10253.jpg', 'time': 1755147105.010253}, 'different') Unexpected type of data : ({'photo_id': 1376977040, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/56f5d6411104109a58ffafc9a4f37def.jpg', 'username': None, 'uploaded_at': 1755160556, 'text': 'image_14082025_04_52_05_9017.jpg', 'time': 1755147125.009017}, 'different') Unexpected type of data : ({'photo_id': 1376977553, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/8942f4314b5d641111880dac07f74b18.jpg', 'username': None, 'uploaded_at': 1755160772, 'text': 'image_14082025_04_52_05_9017.jpg', 'time': 1755147125.009017}, 'different') Unexpected type of data : ({'photo_id': 1376977034, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/86f0d4a4569b9e5c37cfdef3a8a01735.jpg', 'username': None, 'uploaded_at': 1755160556, 'text': 'image_14082025_04_52_56_10205.jpg', 'time': 1755147176.010205}, 'different') Unexpected type of data : ({'photo_id': 1376977551, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/611cca708b7c7eca471e6b2a7fcfa9d7.jpg', 'username': None, 'uploaded_at': 1755160772, 'text': 'image_14082025_04_52_56_10205.jpg', 'time': 1755147176.010205}, 'different') Unexpected type of data : ({'photo_id': 1376977026, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/e3a5375bc58c330bf2f52ab56cd9f834.jpg', 'username': None, 'uploaded_at': 1755160556, 'text': 'image_14082025_04_53_05_8986.jpg', 'time': 1755147185.008986}, 'different') Unexpected type of data : ({'photo_id': 1376977548, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/71a16ac2600ee14b21472777e3f679b4.jpg', 'username': None, 'uploaded_at': 1755160772, 'text': 'image_14082025_04_53_05_8986.jpg', 'time': 1755147185.008986}, 'different') Unexpected type of data : ({'photo_id': 1376977019, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/1f074cbc4525f0ee2f644fa2503b730d.jpg', 'username': None, 'uploaded_at': 1755160556, 'text': 'image_14082025_04_53_55_8989.jpg', 'time': 1755147235.008989}, 'different') Unexpected type of data : ({'photo_id': 1376977086, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/6ec52a10896ca7fcaddb2cffac5b4414.jpg', 'username': None, 'uploaded_at': 1755160593, 'text': 'image_14082025_04_53_55_8989.jpg', 'time': 1755147235.008989}, 'different') Unexpected type of data : ({'photo_id': 1376977490, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/120e7b29ec25b79fd4794d1e3d2987e9.jpg', 'username': None, 'uploaded_at': 1755160737, 'text': 'image_14082025_04_53_55_8989.jpg', 'time': 1755147235.008989}, 'different') Unexpected type of data : ({'photo_id': 1376977545, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2025/8/14/f7fb2702efcb3946d46f0d1a8b7e0de2.jpg', 'username': None, 'uploaded_at': 1755160772, 'text': 'image_14082025_04_53_55_8989.jpg', 'time': 1755147235.008989}, 'different') Count Time bigger than 30s : 0 #Number Photos for regression : {'': {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: 0, 2107751016: 0, 2107751017: 0}}} |aluminium, 05102018_papier_non_papier_dense:0 |aluminium, 05102018_papier_non_papier_peu_dense:0 |aluminium, 05102018_papier_non_papier_presque_vide:0 |aluminium, 05102018_papier_non_papier_tres_dense:0 |aluminium, 05102018_papier_non_papier_tres_peu_dense:0 |ela, 05102018_papier_non_papier_dense:0 |ela, 05102018_papier_non_papier_peu_dense:0 |ela, 05102018_papier_non_papier_presque_vide:0 |ela, 05102018_papier_non_papier_tres_dense:0 |ela, 05102018_papier_non_papier_tres_peu_dense:0 |emr, 05102018_papier_non_papier_dense:0 |emr, 05102018_papier_non_papier_peu_dense:0 |emr, 05102018_papier_non_papier_presque_vide:0 |emr, 05102018_papier_non_papier_tres_dense:0 |emr, 05102018_papier_non_papier_tres_peu_dense:0 |film_pedb, 05102018_papier_non_papier_dense:0 |film_pedb, 05102018_papier_non_papier_peu_dense:0 |film_pedb, 05102018_papier_non_papier_presque_vide:0 |film_pedb, 05102018_papier_non_papier_tres_dense:0 |film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 |flux_dev, 05102018_papier_non_papier_dense:0 |flux_dev, 05102018_papier_non_papier_peu_dense:0 |flux_dev, 05102018_papier_non_papier_presque_vide:0 |flux_dev, 05102018_papier_non_papier_tres_dense:0 |flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 |jrm, 05102018_papier_non_papier_dense:0 |jrm, 05102018_papier_non_papier_peu_dense:0 |jrm, 05102018_papier_non_papier_presque_vide:0 |jrm, 05102018_papier_non_papier_tres_dense:0 |jrm, 05102018_papier_non_papier_tres_peu_dense:0 |pcm, 05102018_papier_non_papier_dense:0 |pcm, 05102018_papier_non_papier_peu_dense:0 |pcm, 05102018_papier_non_papier_presque_vide:0 |pcm, 05102018_papier_non_papier_tres_dense:0 |pcm, 05102018_papier_non_papier_tres_peu_dense:0 |pcnc, 05102018_papier_non_papier_dense:0 |pcnc, 05102018_papier_non_papier_peu_dense:0 |pcnc, 05102018_papier_non_papier_presque_vide:0 |pcnc, 05102018_papier_non_papier_tres_dense:0 |pcnc, 05102018_papier_non_papier_tres_peu_dense:0 |pehd_pp, 05102018_papier_non_papier_dense:0 |pehd_pp, 05102018_papier_non_papier_peu_dense:0 |pehd_pp, 05102018_papier_non_papier_presque_vide:0 |pehd_pp, 05102018_papier_non_papier_tres_dense:0 |pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 |pet_clair, 05102018_papier_non_papier_dense:0 |pet_clair, 05102018_papier_non_papier_peu_dense:0 |pet_clair, 05102018_papier_non_papier_presque_vide:0 |pet_clair, 05102018_papier_non_papier_tres_dense:0 |pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 |refus, 05102018_papier_non_papier_dense:0 |refus, 05102018_papier_non_papier_peu_dense:0 |refus, 05102018_papier_non_papier_presque_vide:0 |refus, 05102018_papier_non_papier_tres_dense:0 |refus, 05102018_papier_non_papier_tres_peu_dense:0 |tapis_vide, 05102018_papier_non_papier_dense:0 |tapis_vide, 05102018_papier_non_papier_peu_dense:0 |tapis_vide, 05102018_papier_non_papier_presque_vide:0 |tapis_vide, 05102018_papier_non_papier_tres_dense:0 |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 ! 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 0 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 : ['pcnc', 'gm', 'emr', 'ela', 'pet_clair', 'film_pedb', 'pehd_pp', 'flux_dev_rigide', 'aluminium', 'tapis_vide', 'refus', 'gros_cartons', 'gm', 'flux_dev_rigide', 'gros_cartons'] We have rejected 0 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 0 elapsed_time : count_nb_balles_and_create_portfolio 0.051867008209228516 # DISPLAY ALL COLLECTED DATA : {'14082025': {'nb_upload': 29, 'nb_taggue_class': 0, 'nb_taggue_densite': 0, '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 [1376977633, 1376977631, 1376977553, 1376977551, 1376977548, 1376977545, 1376977490, 1376977486, 1376977476, 1376977428, 1376977409, 1376977404, 1376977147, 1376977119, 1376977114, 1376977109, 1376977104, 1376977102, 1376977086, 1376977040, 1376977034, 1376977026, 1376977019, 1376976985, 1376976981, 1376976976, 1376976971, 1376976965, 1376976961] Looping around the photos to save general results len do output : 1 /25975740Didn'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 ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977633', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977631', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977553', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977551', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977548', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977545', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977490', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977486', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977476', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977428', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977409', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977404', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977147', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977119', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977114', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977109', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977104', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977102', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977086', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977040', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977034', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977026', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376977019', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376976985', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376976981', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376976976', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376976971', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376976965', None, None, None, None, None, '3531624') ('4323', None, None, None, None, None, None, None, '3531624') ('4323', '25975740', '1376976961', None, None, None, None, None, '3531624') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 30 time used for this insertion : 0.018263816833496094 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.39989662170410156 time spend to save output : 0.018983840942382812 total time spend for step 1 : 0.4188804626464844 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 1.56user 0.61system 0:03.58elapsed 60%CPU (0avgtext+0avgdata 101288maxresident)k 0inputs+56outputs (0major+48622minor)pagefaults 0swaps