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 : 2250970 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 : ['4342711'] with mtr_portfolio_ids : ['30360684'] and first list_photo_ids : [] new path : /proc/2250970/ 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 : 0.03489971160888672 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 12:00:28 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', 6), ('01', 8), ('02', 5), ('03', 9), ('04', 6), ('05', 10), ('06', 8), ('07', 4), ('08', 6), ('09', 9), ('10', 95), ('11', 214)) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {1: 309} 11022026 30360684 Nombre de photos uploadées : 380 / 23040 (1%) 11022026 30360684 Nombre de photos taguées (types de déchets): 309 / 380 (81%) 11022026 30360684 Nombre de photos taguées (volume) : 309 / 380 (81%) elapsed_time : load_data_split_time_score 2.1457672119140625e-06 elapsed_time : order_list_meta_photo_and_scores 0.00012087821960449219 ??????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.015723466873168945 Catched exception ! Connect or reconnect ! Catched exception ! Connect or reconnect ! elapsed_time : insert_dashboard_record_day_entry 0.2635929584503174 Creating list_photo_total elapsed_time : select_descriptors 12.950944185256958 11022026 30360684 Nombre de photos avec descriptors (type 6092) : 247 / 312 (79%) Missing descriptors for photos 0 and 1407523708 0:00:00|ON:Missing descriptors for photos 1407523708 and 1407525362 Missing descriptors for photos 1407525362 and 1407526107 Missing descriptors for photos 1407526107 and 1407526941 Missing descriptors for photos 1407526941 and 1407528746 Missing descriptors for photos 1407528746 and 1407531006 Missing descriptors for photos 1407531006 and 1407531238 Missing descriptors for photos 1407531238 and 1407532210 Missing descriptors for photos 1407532210 and 1407533243 Missing descriptors for photos 1407533243 and 1407533246 Missing descriptors for photos 1407533246 and 1407533249 Missing descriptors for photos 1407533249 and 1407533250 Missing descriptors for photos 1407533250 and 1407533253 Missing descriptors for photos 1407533253 and 1407533254 Missing descriptors for photos 1407533254 and 1407533879 Missing descriptors for photos 1407533879 and 1407535043 Missing descriptors for photos 1407535043 and 1407535046 Missing descriptors for photos 1407535046 and 1407535049 Missing descriptors for photos 1407535049 and 1407535745 Missing descriptors for photos 1407535745 and 1407538243 Missing descriptors for photos 1407538243 and 1407538244 Missing descriptors for photos 1407538244 and 1407538247 Missing descriptors for photos 1407538247 and 1407538248 Missing descriptors for photos 1407538248 and 1407538249 Missing descriptors for photos 1407538249 and 1407538252 Missing descriptors for photos 1407538252 and 1407538253 Missing descriptors for photos 1407538253 and 1407538256 Missing descriptors for photos 1407538256 and 1407538257 Missing descriptors for photos 1407538257 and 1407539892 Missing descriptors for photos 1407539892 and 1407540199 Missing descriptors for photos 1407540199 and 1407540321 Missing descriptors for photos 1407540321 and 1407540353 Missing descriptors for photos 1407540353 and 1407541167 Missing descriptors for photos 1407541167 and 1407541210 Missing descriptors for photos 1407541210 and 1407543559 Missing descriptors for photos 1407543559 and 1407543601 Missing descriptors for photos 1407543601 and 1407543629 Missing descriptors for photos 1407543629 and 1407543858 Missing descriptors for photos 1407543858 and 1407543869 Missing descriptors for photos 1407543869 and 1407543880 Missing descriptors for photos 1407545476 and 1407545493 Missing descriptors for photos 1407545493 and 1407545503 Missing descriptors for photos 1407545544 and 1407545553 Missing descriptors for photos 1407545553 and 1407545563 Missing descriptors for photos 1407548564 and 1407550218 Missing descriptors for photos 1407550218 and 1407550230 Missing descriptors for photos 1407550230 and 1407550249 Missing descriptors for photos 1407550249 and 1407550260 Missing descriptors for photos 1407552533 and 1407556450 Missing descriptors for photos 1407556450 and 1407556967 Missing descriptors for photos 1407557416 and 1407557428 Missing descriptors for photos 1407557428 and 1407559055 Missing descriptors for photos 1407559055 and 1407559277 10:03:16.999046|OFF:0:00:06.001033|ON:0:00:28.999370|OFF:0:00:09.999607|ON:0:00:05.000992|OFF:0:00:06.000008|ON:Missing descriptors for photos 1407561355 and 1407561789 Missing descriptors for photos 1407561789 and 1407564714 0:55:38.999235|OFF:0:00:40.000746|ON:0:08:45.999996|OFF:0:00:29.000011|ON:0:02:49.999993|OFF:0:00:46.000010|ON:0:00:28.999040|OFF:0:00:16.000974|ON:0:21:04.999941|OFF:0:00:48.999008|ON:0:00:21.001011|OFF:0:00:48.998999|ON:0:00:31.001029|OFF:0:00:49.000001|ON: WARNING condition_same_param while we were looking loading descriptors Missing descriptors for photos 1407583532 and 1407583569 Missing descriptors for photos 1407583569 and 1407583601 Missing descriptors for photos 1407583601 and 1407583635 Missing descriptors for photos 1407583635 and 1407583670 Missing descriptors for photos 1407583670 and 1407583703 Missing descriptors for photos 1407583703 and 1407585296 Missing descriptors for photos 1407585296 and 1407585811 Missing descriptors for photos 1407585811 and 1407585819 Missing descriptors for photos 1407585819 and 1407585852 Missing descriptors for photos 1407585852 and 1407585878 Missing descriptors for photos 1407585878 and 1407585881 Missing descriptors for photos 1407585881 and 1407585916 Missing descriptors for photos 1407585916 and 1407585949 Missing descriptors for photos 1407585949 and 1407585982 Missing descriptors for photos 1407585982 and 1407586015 Missing descriptors for photos 1407586015 and 1407586049 Missing descriptors for photos 1407586049 and 1407586155 Missing descriptors for photos 1407586155 and 1407586156 Missing descriptors for photos 1407586156 and 1407586157 Missing descriptors for photos 1407586157 and 1407586158 Missing descriptors for photos 1407586158 and 1407586159 Missing descriptors for photos 1407586159 and 1407586160 Missing descriptors for photos 1407586160 and 1407586162 Missing descriptors for photos 1407586162 and 1407586163 Missing descriptors for photos 1407586163 and 1407586164 Missing descriptors for photos 1407586164 and 1407586166 Missing descriptors for photos 1407586166 and 1407586168 Missing descriptors for photos 1407586168 and 1407586169 Missing descriptors for photos 1407586169 and 1407586170 Missing descriptors for photos 1407586170 and 1407586172 Missing descriptors for photos 1407586172 and 1407586173 Missing descriptors for photos 1407586173 and 1407586174 Missing descriptors for photos 1407586174 and 1407586175 Missing descriptors for photos 1407586175 and 1407586176 Missing descriptors for photos 1407586176 and 1407586177 Missing descriptors for photos 1407586177 and 1407586178 Missing descriptors for photos 1407586178 and 1407586179 Missing descriptors for photos 1407586179 and 1407586180 Missing descriptors for photos 1407586180 and 1407586184 Missing descriptors for photos 1407586184 and 1407587400 Missing descriptors for photos 1407587400 and 1407587401 Missing descriptors for photos 1407587401 and 1407587402 Missing descriptors for photos 1407587402 and 1407587403 Missing descriptors for photos 1407587403 and 1407587404 Missing descriptors for photos 1407587404 and 1407587457 Missing descriptors for photos 1407587457 and 1407587745 Missing descriptors for photos 1407587745 and 1407587746 Missing descriptors for photos 1407587746 and 1407587747 Missing descriptors for photos 1407587747 and 1407587748 Missing descriptors for photos 1407587748 and 1407587749 Missing descriptors for photos 1407587749 and 1407587817 Missing descriptors for photos 1407587817 and 1407587912 Missing descriptors for photos 1407587912 and 1407587936 Missing descriptors for photos 1407587936 and 1407587937 Missing descriptors for photos 1407587937 and 1407587938 Missing descriptors for photos 1407587938 and 1407588096 Missing descriptors for photos 1407588096 and 1407588190 Missing descriptors for photos 1407588190 and 1407588236 Missing descriptors for photos 1407588236 and 1407588237 Missing descriptors for photos 1407588237 and 1407588238 Missing descriptors for photos 1407588238 and 1407588239 Missing descriptors for photos 1407588239 and 1407588242 Missing descriptors for photos 1407588242 and 1407588243 Missing descriptors for photos 1407588243 and 1407588245 11022026 Removing 25 photos because of the 'same image' condition Total on : 41611.999653 list_time_on Total off : 300.000397 list_time_off dist_desc begin to insert list_values into photo_hahstag_ids : length of list_valuse in save_photo_hashtag_id_type : 380 time used for this insertion : 0.08974146842956543 photos_removed : len 25 elapsed_time : remove_photo_duplicate 0.23824191093444824 Creating list_photo_total XXXXXXXXXXXXXXXXXXXXXXWarning 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 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 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 time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result 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is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average 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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 time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average time_diff is bigger than the limit of interval, we ignore the result of this image in moving average 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 ! 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 ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! ERROR ! elapsed_time : count_sum_diff_and_build_graph 0.06516361236572266 Total photos : 380 .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 =1407543890 : 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 : 493546845 photo_id =1407545511 : aluminium .Change port : 1 hashtag : 495916461 photo_id =1407545534 : jrm .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 492741797 photo_id =1407547881 : ela .Change port : 1 hashtag : 495916461 photo_id =1407548132 : jrm .can't find max_score_info .Change port : 1 hashtag : 493546845 photo_id =1407548167 : aluminium .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 : 2107760237 photo_id =1407550269 : film_pedb .can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 1 hashtag : 493546845 photo_id =1407557408 : aluminium .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 : 2107760237 photo_id =1407559288 : film_pedb .can't find max_score_info .Change port : 1 hashtag : 493546845 photo_id =1407561175 : aluminium ....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 : 21 hashtag : 2107755846 photo_id =1407561260 : pet_clair .....................................................can't find max_score_info .can't find max_score_info .can't find max_score_info .Change port : 53 hashtag : 616987804 photo_id =1407566150 : 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 ........can't find max_score_info .Change port : 19 hashtag : 495916461 photo_id =1407571557 : 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 : 64 hashtag : 493546845 photo_id =1407578851 : aluminium .can't find max_score_info .Change port : 1 hashtag : 2107760239 photo_id =1407580047 : pehd_pp ...............................can't find max_score_info .Change port : 31 hashtag : 2107760237 photo_id =1407582362 : 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 Total photos : 380 Number of lists : 17 counter photos in port : 219 hashtag : aluminium(493546845) : 25 photos in 5 portfolios ! hashtag : ela(492741797) : 1 photos in 1 portfolios ! hashtag : emr(616987804) : 19 photos in 1 portfolios ! hashtag : film_pedb(2107760237) : 21 photos in 3 portfolios ! hashtag : flux_dev(2107760238) : 0 photos in 0 portfolios ! hashtag : jrm(495916461) : 69 photos in 4 portfolios ! hashtag : pcm(560181804) : 0 photos in 0 portfolios ! hashtag : pcnc(1284539308) : 0 photos in 0 portfolios ! hashtag : pehd_pp(2107760239) : 31 photos in 1 portfolios ! hashtag : pet_clair(2107755846) : 53 photos in 1 portfolios ! hashtag : refus(538914404) : 0 photos in 0 portfolios ! hashtag : tapis_vide(2107748999) : 0 photos in 1 portfolios ! elapsed_time : group_photo_by_moyenne_exp 0.009261608123779297 elapsed_time : compute_and_correct_tag_with_moyenne_mobile 2.384185791015625e-06 today str has not a value , we define it as the date of the first image todaystr_first : 11022026 attention , prev_timestamp is 0 , we do nothing ************************************************************************* BIG TIME 189.9999279975891 (212.99855303764343, 0, 0.8737682, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.6297000049114225, 0.0097, 0.0019000983953475952, 1.9, 0.2179991400241851, -0.19999991337458292) on 21 1407561257 2026-02-11 10:08:22.005382 id_data : 97 ** BIG TIME 1060.9998681545258 (607.9981780052185, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.59242135, 0, 0, 3.6882000046014785, 0.0151, 0.0019000983953475952, 0.9, 0.3950000689029693, -0.515000106493632) on 74 1407561355 2026-02-11 10:32:38.005319 id_data : 151 * BIG TIME 278.9990029335022 (607.9981780052185, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.59242135, 0, 0, 3.6882000046014785, 0.0151, 0.0019000983953475952, 0.9, 0.3950000689029693, -0.515000106493632) on 74 1407561789 2026-02-11 10:37:17.004322 id_data : 152 * BIG TIME 281.0009939670563 (607.9981780052185, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.59242135, 0, 0, 3.6882000046014785, 0.0151, 0.0019000983953475952, 0.9, 0.3950000689029693, -0.515000106493632) on 74 1407564714 2026-02-11 10:41:58.005316 id_data : 153 * BIG TIME 1023.9990918636322 (607.9981780052185, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.59242135, 0, 0, 3.6882000046014785, 0.0151, 0.0019000983953475952, 0.9, 0.3950000689029693, -0.515000106493632) on 74 1407566150 2026-02-11 10:59:02.004408 id_data : 154 ** BIG TIME 208.99994921684265 (729.0012402534485, 2, 0, 0, 0.4117603, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3.969300003194809, 0.0177, 0.006299997782707214, 2.9, 0.12200203514099123, -0.2683331549167633) on 92 1407571526 2026-02-11 11:05:17.005386 id_data : 177 ***** BIG TIME 264.99994707107544 (1270.000215768814, 5, 0, 0, 0, 0, 0, 0.95196205, 0, 0, 0, 0, 0, 0, 4.047700000596047, 0.0246, 0.009800005412101746, 1.9, 0.11600093269348144, -0.21499995827674867) on 156 1407578851 2026-02-11 11:19:17.005358 id_data : 246 * BIG TIME 279.99895000457764 (1270.000215768814, 5, 0, 0, 0, 0, 0, 0.95196205, 0, 0, 0, 0, 0, 0, 4.047700000596047, 0.0246, 0.009800005412101746, 1.9, 0.11600093269348144, -0.21499995827674867) on 156 1407579125 2026-02-11 11:23:57.004308 id_data : 247 *** BIG TIME 295.0009939670563 (1536.0023186206818, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0.86894387, 0, 0, 0, 4.128699899196625, 0.0279, 0.009800005412101746, 1.9, 0.08499895191192627, -0.13333327651023866) on 187 1407582138 2026-02-11 11:33:17.005391 id_data : 279 *Unexpected type of data : ({'photo_id': 1407583304, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/3f231cdc19e471cd4dc8644f52eb5d53.jpg', 'username': None, 'uploaded_at': 1770806382, 'text': 'image_11022026_11_37_52_5431.jpg', 'time': 1770809872.005431}, 'different') Unexpected type of data : ({'photo_id': 1407583305, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/5271658b8b435711c555d129145a63b3.jpg', 'username': None, 'uploaded_at': 1770806382, 'text': 'image_11022026_11_38_02_4444.jpg', 'time': 1770809882.004444}, 'duplicate') Unexpected type of data : ({'photo_id': 1407583306, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/b7b121c3174497bab638ceb4aa312938.jpg', 'username': None, 'uploaded_at': 1770806382, 'text': 'image_11022026_11_38_18_5441.jpg', 'time': 1770809898.005441}, 'duplicate') Unexpected type of data : ({'photo_id': 1407583312, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/262da3e43d5c3bab23cbf682f5fff770.jpg', 'username': None, 'uploaded_at': 1770806382, 'text': 'image_11022026_11_38_37_5441.jpg', 'time': 1770809917.005441}, 'duplicate') Unexpected type of data : ({'photo_id': 1407583345, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/715d70da380436e0b8868631a2ae5929.jpg', 'username': None, 'uploaded_at': 1770806382, 'text': 'image_11022026_11_38_47_5455.jpg', 'time': 1770809927.005455}, 'different') Unexpected type of data : ({'photo_id': 1407583382, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/5e67ec1e3c3bdc4d3e237ea8d17b5fff.jpg', 'username': None, 'uploaded_at': 1770806382, 'text': 'image_11022026_11_38_52_4424.jpg', 'time': 1770809932.004424}, 'different') Unexpected type of data : ({'photo_id': 1407583532, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/0ef898278ca41bcb80c2f1901143b220.jpg', 'username': None, 'uploaded_at': 1770806422, 'text': 'image_11022026_11_38_57_5431.jpg', 'time': 1770809937.005431}, 'different') Unexpected type of data : ({'photo_id': 1407583569, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/fda2af79bab23212c9771daa0a689877.jpg', 'username': None, 'uploaded_at': 1770806422, 'text': 'image_11022026_11_39_03_5425.jpg', 'time': 1770809943.005425}, 'different') Unexpected type of data : ({'photo_id': 1407583601, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/241b0f54d8dd95a56054a8b0b48e7622.jpg', 'username': None, 'uploaded_at': 1770806422, 'text': 'image_11022026_11_39_07_4410.jpg', 'time': 1770809947.00441}, 'different') Unexpected type of data : ({'photo_id': 1407583635, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/0c8de01ed5b64e27d6ee92430b7f9a67.jpg', 'username': None, 'uploaded_at': 1770806422, 'text': 'image_11022026_11_39_12_5434.jpg', 'time': 1770809952.005434}, 'different') Unexpected type of data : ({'photo_id': 1407583670, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/c61a5edfefaf1d432cf084303d0a17b3.jpg', 'username': None, 'uploaded_at': 1770806422, 'text': 'image_11022026_11_39_32_5436.jpg', 'time': 1770809972.005436}, 'different') Unexpected type of data : ({'photo_id': 1407583703, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/381fad851fe9ccea91c5364b1d393d03.jpg', 'username': None, 'uploaded_at': 1770806422, 'text': 'image_11022026_11_39_47_5464.jpg', 'time': 1770809987.005464}, 'different') Unexpected type of data : ({'photo_id': 1407585296, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/edb41feb86376073141a5a4c8b17b28f.jpg', 'username': None, 'uploaded_at': 1770806603, 'text': 'image_11022026_11_42_37_4380.jpg', 'time': 1770810157.00438}, 'different') Unexpected type of data : ({'photo_id': 1407585811, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/7bda36aeb4305a733c41cb235b475e29.jpg', 'username': None, 'uploaded_at': 1770806722, 'text': 'image_11022026_11_44_28_5401.jpg', 'time': 1770810268.005401}, 'different') Unexpected type of data : ({'photo_id': 1407585819, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/573665d597df2ce5a1b1f6cfcd5735da.jpg', 'username': None, 'uploaded_at': 1770806722, 'text': 'image_11022026_11_44_42_4409.jpg', 'time': 1770810282.004409}, 'different') Unexpected type of data : ({'photo_id': 1407585852, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/9b158c03ddf1ae08302ca7590124d0fc.jpg', 'username': None, 'uploaded_at': 1770806722, 'text': 'image_11022026_11_44_47_5450.jpg', 'time': 1770810287.00545}, 'different') Unexpected type of data : ({'photo_id': 1407585878, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/5e602a7e45b4b44c5bd99dd2fb5c6b58.jpg', 'username': None, 'uploaded_at': 1770806722, 'text': 'image_11022026_11_44_53_5427.jpg', 'time': 1770810293.005427}, 'different') Unexpected type of data : ({'photo_id': 1407585881, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/955c13a7d0d673fa94e56dc288a3a09a.jpg', 'username': None, 'uploaded_at': 1770806782, 'text': 'image_11022026_11_44_57_4433.jpg', 'time': 1770810297.004433}, 'different') Unexpected type of data : ({'photo_id': 1407585916, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/2b4f6dae8f4e72bf9c2a5ea166632eba.jpg', 'username': None, 'uploaded_at': 1770806782, 'text': 'image_11022026_11_45_03_5454.jpg', 'time': 1770810303.005454}, 'different') Unexpected type of data : ({'photo_id': 1407585949, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/8f8432e13af925f7870e0c0fc68ba54f.jpg', 'username': None, 'uploaded_at': 1770806782, 'text': 'image_11022026_11_45_07_4435.jpg', 'time': 1770810307.004435}, 'different') Unexpected type of data : ({'photo_id': 1407585982, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/5eeb6060124f3ada7826091f378f73e0.jpg', 'username': None, 'uploaded_at': 1770806782, 'text': 'image_11022026_11_45_12_5448.jpg', 'time': 1770810312.005448}, 'different') Unexpected type of data : ({'photo_id': 1407586015, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/b938e63fb48e8dbecc6b028e04889ba8.jpg', 'username': None, 'uploaded_at': 1770806782, 'text': 'image_11022026_11_45_17_4415.jpg', 'time': 1770810317.004415}, 'different') Unexpected type of data : ({'photo_id': 1407586049, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/c6a1f9a77028f234c55a63ab611b685e.jpg', 'username': None, 'uploaded_at': 1770806782, 'text': 'image_11022026_11_45_22_5426.jpg', 'time': 1770810322.005426}, 'different') Unexpected type of data : ({'photo_id': 1407586155, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/c35b471d9ef7e81fcc61202a2557ea28.jpg', 'username': None, 'uploaded_at': 1770806842, 'text': 'image_11022026_11_45_27_4435.jpg', 'time': 1770810327.004435}, 'different') Unexpected type of data : ({'photo_id': 1407586156, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/e24aadccd6fee7df3da9574f349751cf.jpg', 'username': None, 'uploaded_at': 1770806842, 'text': 'image_11022026_11_45_32_5444.jpg', 'time': 1770810332.005444}, 'different') Unexpected type of data : ({'photo_id': 1407586157, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/c50295aef9a81d47c009a7896182f30c.jpg', 'username': None, 'uploaded_at': 1770806842, 'text': 'image_11022026_11_45_38_5415.jpg', 'time': 1770810338.005415}, 'different') Unexpected type of data : ({'photo_id': 1407586158, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/af2c86b9c68a47036c9a3e3e3f95afe8.jpg', 'username': None, 'uploaded_at': 1770806842, 'text': 'image_11022026_11_45_42_4428.jpg', 'time': 1770810342.004428}, 'different') Unexpected type of data : ({'photo_id': 1407586159, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/537c17a406a7e7da982aff6952624120.jpg', 'username': None, 'uploaded_at': 1770806842, 'text': 'image_11022026_11_45_47_5428.jpg', 'time': 1770810347.005428}, 'different') Unexpected type of data : ({'photo_id': 1407586160, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/dde8d1897c0d1087226589b86be324fc.jpg', 'username': None, 'uploaded_at': 1770806842, 'text': 'image_11022026_11_45_52_4427.jpg', 'time': 1770810352.004427}, 'different') Unexpected type of data : ({'photo_id': 1407586162, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/0a0a1c86e115b7569552a57fa9c2345e.jpg', 'username': None, 'uploaded_at': 1770806902, 'text': 'image_11022026_11_45_57_5431.jpg', 'time': 1770810357.005431}, 'different') Unexpected type of data : ({'photo_id': 1407586163, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/db9b64d48247916e92e4419108787153.jpg', 'username': None, 'uploaded_at': 1770806902, 'text': 'image_11022026_11_46_02_4433.jpg', 'time': 1770810362.004433}, 'different') Unexpected type of data : ({'photo_id': 1407586164, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/fed1f04d82893f9b2954fe1431a5dbe0.jpg', 'username': None, 'uploaded_at': 1770806902, 'text': 'image_11022026_11_46_08_5788.jpg', 'time': 1770810368.005788}, 'different') Unexpected type of data : ({'photo_id': 1407586166, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/913a0214dbccb98623426f9bfe3bbf26.jpg', 'username': None, 'uploaded_at': 1770806902, 'text': 'image_11022026_11_46_12_4430.jpg', 'time': 1770810372.00443}, 'different') Unexpected type of data : ({'photo_id': 1407586168, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/010ea8c1356e903fac982734173483c2.jpg', 'username': None, 'uploaded_at': 1770806902, 'text': 'image_11022026_11_46_17_5428.jpg', 'time': 1770810377.005428}, 'different') Unexpected type of data : ({'photo_id': 1407586169, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/9dfd840c9c453f81608bbdbbd62e3f65.jpg', 'username': None, 'uploaded_at': 1770806902, 'text': 'image_11022026_11_46_22_4433.jpg', 'time': 1770810382.004433}, 'different') Unexpected type of data : ({'photo_id': 1407586170, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/a56186ac679dfb33e483ccb38fdf05cf.jpg', 'username': None, 'uploaded_at': 1770806982, 'text': 'image_11022026_11_46_27_5425.jpg', 'time': 1770810387.005425}, 'different') Unexpected type of data : ({'photo_id': 1407586172, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/386b1e330989add969842fc9ca41ba8b.jpg', 'username': None, 'uploaded_at': 1770806982, 'text': 'image_11022026_11_46_33_5443.jpg', 'time': 1770810393.005443}, 'different') Unexpected type of data : ({'photo_id': 1407586173, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/ff4c49812d2a8f07f538a479c3453e93.jpg', 'username': None, 'uploaded_at': 1770806982, 'text': 'image_11022026_11_46_37_4427.jpg', 'time': 1770810397.004427}, 'different') Unexpected type of data : ({'photo_id': 1407586174, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/832a31c7c4d7c624ea3be7cb97b84a5a.jpg', 'username': None, 'uploaded_at': 1770806982, 'text': 'image_11022026_11_46_43_5441.jpg', 'time': 1770810403.005441}, 'different') Unexpected type of data : ({'photo_id': 1407586175, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/a2e7b477a72f7891f85dc94bb8357341.jpg', 'username': None, 'uploaded_at': 1770806982, 'text': 'image_11022026_11_46_47_4415.jpg', 'time': 1770810407.004415}, 'different') Unexpected type of data : ({'photo_id': 1407586176, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f39d61119346701d5a18311feae0769a.jpg', 'username': None, 'uploaded_at': 1770806982, 'text': 'image_11022026_11_46_52_5442.jpg', 'time': 1770810412.005442}, 'different') Unexpected type of data : ({'photo_id': 1407586177, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/11de78661d2556e4a9e6517138931cff.jpg', 'username': None, 'uploaded_at': 1770807022, 'text': 'image_11022026_11_47_22_4441.jpg', 'time': 1770810442.004441}, 'different') Unexpected type of data : ({'photo_id': 1407586178, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/3d2aabfd83bce58a5581daf744662bcf.jpg', 'username': None, 'uploaded_at': 1770807022, 'text': 'image_11022026_11_47_28_5436.jpg', 'time': 1770810448.005436}, 'different') Unexpected type of data : ({'photo_id': 1407586179, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/8dac5ba018721b92f4f4501100b34703.jpg', 'username': None, 'uploaded_at': 1770807022, 'text': 'image_11022026_11_47_32_4430.jpg', 'time': 1770810452.00443}, 'different') Unexpected type of data : ({'photo_id': 1407586180, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/e91b848b9a0a5e5d32e807e6e1da3a6c.jpg', 'username': None, 'uploaded_at': 1770807022, 'text': 'image_11022026_11_47_37_5424.jpg', 'time': 1770810457.005424}, 'different') Unexpected type of data : ({'photo_id': 1407586184, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f7093f6836c34618eb8f3897afd97133.jpg', 'username': None, 'uploaded_at': 1770807123, 'text': 'image_11022026_11_51_57_5385.jpg', 'time': 1770810717.005385}, 'different') Unexpected type of data : ({'photo_id': 1407587400, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/fa4ba77b7b8036fb11e089730ceb96c5.jpg', 'username': None, 'uploaded_at': 1770807262, 'text': 'image_11022026_11_53_22_4377.jpg', 'time': 1770810802.004377}, 'different') Unexpected type of data : ({'photo_id': 1407587401, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/4b98bced207e68bbc5e2153fb1c80a91.jpg', 'username': None, 'uploaded_at': 1770807262, 'text': 'image_11022026_11_53_27_5421.jpg', 'time': 1770810807.005421}, 'different') Unexpected type of data : ({'photo_id': 1407587402, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/4d0435712d11249f9b5ac3ed6d6c5f41.jpg', 'username': None, 'uploaded_at': 1770807262, 'text': 'image_11022026_11_53_33_5441.jpg', 'time': 1770810813.005441}, 'different') Unexpected type of data : ({'photo_id': 1407587403, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/229303828d3f07937de9d5cf04f081ea.jpg', 'username': None, 'uploaded_at': 1770807262, 'text': 'image_11022026_11_53_37_4420.jpg', 'time': 1770810817.00442}, 'different') Unexpected type of data : ({'photo_id': 1407587404, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/dd897e8c82fb75dbe7a75dc22f4af56f.jpg', 'username': None, 'uploaded_at': 1770807262, 'text': 'image_11022026_11_53_42_5420.jpg', 'time': 1770810822.00542}, 'different') Unexpected type of data : ({'photo_id': 1407587457, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/d8e918485f3c886a2cb8725109a7692e.jpg', 'username': None, 'uploaded_at': 1770807262, 'text': 'image_11022026_11_53_47_4445.jpg', 'time': 1770810827.004445}, 'different') Unexpected type of data : ({'photo_id': 1407587745, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/973937d05d1a94a0ac761fecba8983bb.jpg', 'username': None, 'uploaded_at': 1770807303, 'text': 'image_11022026_11_53_52_5433.jpg', 'time': 1770810832.005433}, 'different') Unexpected type of data : ({'photo_id': 1407587746, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/5e1f68ef0546393649d4cfbb33ee9b5c.jpg', 'username': None, 'uploaded_at': 1770807322, 'text': 'image_11022026_11_53_57_4421.jpg', 'time': 1770810837.004421}, 'different') Unexpected type of data : ({'photo_id': 1407587747, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/e58199302acd3ecaba2a6e6621675e5c.jpg', 'username': None, 'uploaded_at': 1770807322, 'text': 'image_11022026_11_54_02_5432.jpg', 'time': 1770810842.005432}, 'different') Unexpected type of data : ({'photo_id': 1407587748, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/b0e4fc5e6e809a94653e9fcb12d8adad.jpg', 'username': None, 'uploaded_at': 1770807322, 'text': 'image_11022026_11_54_08_5520.jpg', 'time': 1770810848.00552}, 'different') Unexpected type of data : ({'photo_id': 1407587749, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/ea2e7ac7f5a6df6c9428ef457c3f49fb.jpg', 'username': None, 'uploaded_at': 1770807322, 'text': 'image_11022026_11_54_12_4422.jpg', 'time': 1770810852.004422}, 'different') Unexpected type of data : ({'photo_id': 1407587817, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/ba980af532d3ba6e2869c87df2279d15.jpg', 'username': None, 'uploaded_at': 1770807322, 'text': 'image_11022026_11_54_18_5449.jpg', 'time': 1770810858.005449}, 'different') Unexpected type of data : ({'photo_id': 1407587912, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/60fb40ea061d814ca7462c2a1a03487e.jpg', 'username': None, 'uploaded_at': 1770807322, 'text': 'image_11022026_11_54_32_4443.jpg', 'time': 1770810872.004443}, 'different') Unexpected type of data : ({'photo_id': 1407587936, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/7a0335ce60b6f14c5e04c19579715c12.jpg', 'username': None, 'uploaded_at': 1770807363, 'text': 'image_11022026_11_54_42_4431.jpg', 'time': 1770810882.004431}, 'different') Unexpected type of data : ({'photo_id': 1407587937, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f919c97c5f968dfeebd2b12a3144110d.jpg', 'username': None, 'uploaded_at': 1770807363, 'text': 'image_11022026_11_54_47_5442.jpg', 'time': 1770810887.005442}, 'different') Unexpected type of data : ({'photo_id': 1407587938, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/26e10fa1429fa582b74faad99b12bda5.jpg', 'username': None, 'uploaded_at': 1770807363, 'text': 'image_11022026_11_54_53_5441.jpg', 'time': 1770810893.005441}, 'different') Unexpected type of data : ({'photo_id': 1407588096, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/10e7d0d32abc55415ce6129214de0861.jpg', 'username': None, 'uploaded_at': 1770807402, 'text': 'image_11022026_11_54_57_4428.jpg', 'time': 1770810897.004428}, 'different') Unexpected type of data : ({'photo_id': 1407588190, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/68c64171d8832a0215632c59492241f5.jpg', 'username': None, 'uploaded_at': 1770807402, 'text': 'image_11022026_11_55_22_5451.jpg', 'time': 1770810922.005451}, 'different') Unexpected type of data : ({'photo_id': 1407588236, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/2b2af7ee9fdf42680a277fd9da604882.jpg', 'username': None, 'uploaded_at': 1770807402, 'text': 'image_11022026_11_55_32_5447.jpg', 'time': 1770810932.005447}, 'different') Unexpected type of data : ({'photo_id': 1407588237, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/bed980da19123d1ccedad0b7ad4dfe86.jpg', 'username': None, 'uploaded_at': 1770807402, 'text': 'image_11022026_11_55_38_5434.jpg', 'time': 1770810938.005434}, 'different') Unexpected type of data : ({'photo_id': 1407588238, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/b8c81073043608eef17bcc15148d07a5.jpg', 'username': None, 'uploaded_at': 1770807402, 'text': 'image_11022026_11_55_42_4425.jpg', 'time': 1770810942.004425}, 'different') Unexpected type of data : ({'photo_id': 1407588239, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/e69020ac1c57615368f1f659020a5964.jpg', 'username': None, 'uploaded_at': 1770807402, 'text': 'image_11022026_11_55_47_5442.jpg', 'time': 1770810947.005442}, 'different') Unexpected type of data : ({'photo_id': 1407588242, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/f3d5061ab7d8c7ed55d710060e4057f2.jpg', 'username': None, 'uploaded_at': 1770807442, 'text': 'image_11022026_11_55_52_4414.jpg', 'time': 1770810952.004414}, 'different') Unexpected type of data : ({'photo_id': 1407588243, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/0ddcb2ba23d938f4d7e681f6a3bd71cf.jpg', 'username': None, 'uploaded_at': 1770807442, 'text': 'image_11022026_11_56_07_5643.jpg', 'time': 1770810967.005643}, 'different') Unexpected type of data : ({'photo_id': 1407588245, 'url': 'https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/2026/2/11/8a4cddbb6bafec0296ccb6df32697d81.jpg', 'username': None, 'uploaded_at': 1770807502, 'text': 'image_11022026_11_57_32_5387.jpg', 'time': 1770811052.005387}, 'different') Count Time bigger than 30s : 90 #Number Photos for regression : {'11022026': {493546845: {2107751013: 41.00047326087952, 2107751014: 21.99905228614807, 2107751015: 154.9996144771576, 2107751016: 0, 2107751017: 0}, 492741797: {2107751013: 0, 2107751014: 4.999024868011475, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 616987804: {2107751013: 0, 2107751014: 79.00098443031311, 2107751015: 11.001024007797241, 2107751016: 32.00002670288086, 2107751017: 0}, 2107760237: {2107751013: 0, 2107751014: 0, 2107751015: 3.999016046524048, 2107751016: 173.9990291595459, 2107751017: 0}, 2107760238: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 495916461: {2107751013: 0, 2107751014: 147.00184106826782, 2107751015: 256.0050084590912, 2107751016: 102.99514484405518, 2107751017: 3.998971939086914}, 560181804: {2107751013: 0, 2107751014: 26.000010013580322, 2107751015: 0, 2107751016: 8.999988079071045, 2107751017: 0}, 1284539308: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107760239: {2107751013: 0, 2107751014: 85.00100994110107, 2107751015: 164.99822306632996, 2107751016: 5.000815153121948, 2107751017: 0}, 2107755846: {2107751013: 0, 2107751014: 151.999165058136, 2107751015: 228.00063276290894, 2107751016: 15.000271081924438, 2107751017: 0}, 538914404: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}, 2107748999: {2107751013: 0, 2107751014: 0, 2107751015: 0, 2107751016: 0, 2107751017: 0}}} 11022026|aluminium, 05102018_papier_non_papier_dense:41.00047326087952 11022026|aluminium, 05102018_papier_non_papier_peu_dense:21.99905228614807 11022026|aluminium, 05102018_papier_non_papier_presque_vide:154.9996144771576 11022026|aluminium, 05102018_papier_non_papier_tres_dense:0 11022026|aluminium, 05102018_papier_non_papier_tres_peu_dense:0 11022026|ela, 05102018_papier_non_papier_dense:0 11022026|ela, 05102018_papier_non_papier_peu_dense:4.999024868011475 11022026|ela, 05102018_papier_non_papier_presque_vide:0 11022026|ela, 05102018_papier_non_papier_tres_dense:0 11022026|ela, 05102018_papier_non_papier_tres_peu_dense:0 11022026|emr, 05102018_papier_non_papier_dense:0 11022026|emr, 05102018_papier_non_papier_peu_dense:79.00098443031311 11022026|emr, 05102018_papier_non_papier_presque_vide:11.001024007797241 11022026|emr, 05102018_papier_non_papier_tres_dense:32.00002670288086 11022026|emr, 05102018_papier_non_papier_tres_peu_dense:0 11022026|film_pedb, 05102018_papier_non_papier_dense:0 11022026|film_pedb, 05102018_papier_non_papier_peu_dense:0 11022026|film_pedb, 05102018_papier_non_papier_presque_vide:3.999016046524048 11022026|film_pedb, 05102018_papier_non_papier_tres_dense:173.9990291595459 11022026|film_pedb, 05102018_papier_non_papier_tres_peu_dense:0 11022026|flux_dev, 05102018_papier_non_papier_dense:0 11022026|flux_dev, 05102018_papier_non_papier_peu_dense:0 11022026|flux_dev, 05102018_papier_non_papier_presque_vide:0 11022026|flux_dev, 05102018_papier_non_papier_tres_dense:0 11022026|flux_dev, 05102018_papier_non_papier_tres_peu_dense:0 11022026|jrm, 05102018_papier_non_papier_dense:0 11022026|jrm, 05102018_papier_non_papier_peu_dense:147.00184106826782 11022026|jrm, 05102018_papier_non_papier_presque_vide:256.0050084590912 11022026|jrm, 05102018_papier_non_papier_tres_dense:102.99514484405518 11022026|jrm, 05102018_papier_non_papier_tres_peu_dense:3.998971939086914 11022026|pcm, 05102018_papier_non_papier_dense:0 11022026|pcm, 05102018_papier_non_papier_peu_dense:26.000010013580322 11022026|pcm, 05102018_papier_non_papier_presque_vide:0 11022026|pcm, 05102018_papier_non_papier_tres_dense:8.999988079071045 11022026|pcm, 05102018_papier_non_papier_tres_peu_dense:0 11022026|pcnc, 05102018_papier_non_papier_dense:0 11022026|pcnc, 05102018_papier_non_papier_peu_dense:0 11022026|pcnc, 05102018_papier_non_papier_presque_vide:0 11022026|pcnc, 05102018_papier_non_papier_tres_dense:0 11022026|pcnc, 05102018_papier_non_papier_tres_peu_dense:0 11022026|pehd_pp, 05102018_papier_non_papier_dense:0 11022026|pehd_pp, 05102018_papier_non_papier_peu_dense:85.00100994110107 11022026|pehd_pp, 05102018_papier_non_papier_presque_vide:164.99822306632996 11022026|pehd_pp, 05102018_papier_non_papier_tres_dense:5.000815153121948 11022026|pehd_pp, 05102018_papier_non_papier_tres_peu_dense:0 11022026|pet_clair, 05102018_papier_non_papier_dense:0 11022026|pet_clair, 05102018_papier_non_papier_peu_dense:151.999165058136 11022026|pet_clair, 05102018_papier_non_papier_presque_vide:228.00063276290894 11022026|pet_clair, 05102018_papier_non_papier_tres_dense:15.000271081924438 11022026|pet_clair, 05102018_papier_non_papier_tres_peu_dense:0 11022026|refus, 05102018_papier_non_papier_dense:0 11022026|refus, 05102018_papier_non_papier_peu_dense:0 11022026|refus, 05102018_papier_non_papier_presque_vide:0 11022026|refus, 05102018_papier_non_papier_tres_dense:0 11022026|refus, 05102018_papier_non_papier_tres_peu_dense:0 11022026|tapis_vide, 05102018_papier_non_papier_dense:0 11022026|tapis_vide, 05102018_papier_non_papier_peu_dense:0 11022026|tapis_vide, 05102018_papier_non_papier_presque_vide:0 11022026|tapis_vide, 05102018_papier_non_papier_tres_dense:0 11022026|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 ! 11022026_time_diff_distrib Number amount portfolio for this type of dechet : aluminium 21 Created to study and clean : 30363327 with name like 11022026_aluminium_05102018_papier_non_papier_dense Created to study and clean : 30363328 with name like 11022026_aluminium_05102018_papier_non_papier_peu_dense Created to study and clean : 30363329 with name like 11022026_aluminium_05102018_papier_non_papier_presque_vide Number amount portfolio for this type of dechet : ela 1 Created to study and clean : 30363330 with name like 11022026_ela_05102018_papier_non_papier_peu_dense Number amount portfolio for this type of dechet : emr 18 Created to study and clean : 30363331 with name like 11022026_emr_05102018_papier_non_papier_peu_dense Created to study and clean : 30363332 with name like 11022026_emr_05102018_papier_non_papier_presque_vide Created to study and clean : 30363333 with name like 11022026_emr_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : film_pedb 19 Created to study and clean : 30363334 with name like 11022026_film_pedb_05102018_papier_non_papier_presque_vide Created to study and clean : 30363335 with name like 11022026_film_pedb_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : flux_dev 0 Number amount portfolio for this type of dechet : jrm 62 Created to study and clean : 30363336 with name like 11022026_jrm_05102018_papier_non_papier_peu_dense Created to study and clean : 30363337 with name like 11022026_jrm_05102018_papier_non_papier_presque_vide Created to study and clean : 30363338 with name like 11022026_jrm_05102018_papier_non_papier_tres_dense Created to study and clean : 30363339 with name like 11022026_jrm_05102018_papier_non_papier_tres_peu_dense 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 29 Created to study and clean : 30363340 with name like 11022026_pehd_pp_05102018_papier_non_papier_peu_dense Created to study and clean : 30363341 with name like 11022026_pehd_pp_05102018_papier_non_papier_presque_vide Created to study and clean : 30363342 with name like 11022026_pehd_pp_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : pet_clair 53 Created to study and clean : 30363343 with name like 11022026_pet_clair_05102018_papier_non_papier_peu_dense Created to study and clean : 30363344 with name like 11022026_pet_clair_05102018_papier_non_papier_presque_vide Created to study and clean : 30363345 with name like 11022026_pet_clair_05102018_papier_non_papier_tres_dense Number amount portfolio for this type of dechet : refus 0 Number amount portfolio for this type of dechet : tapis_vide 0 NUMBER BATCH : 17 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'] id_amount : 0 id_amount : 0 id_amount : 0 id_amount : 0 id_amount : 0 id_amount : 0 id_amount : 0 id_amount : 0 result_one_balle_Type_aluminium:{'day': '11022026', 'map_nb_amount': {0: 4, 1: 9, 2: 0, 3: 0, 4: 0}, 'map_time_amount': {0: 21.99905228614807, 1: 154.9996144771576, 2: 0, 3: 0, 4: 0}, 'duration': 119.99994802474976, 'nb_balles_papier': 0.2179991400241851, 'begin_time_port': 'image_11022026_10_03_12_005506m0.jpg 0.11700017595291137 for time 117.00017595291138, id_amount 2 this amount prod time diff : 0.11700017595291137'} Production hashtag (incorrect ponderation at 20-10-18) : 0.2179991400241851 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 ! 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 ! We filter photos on hashtag condition ! result_one_balle_Type_pet_clair:{'day': '11022026', 'map_nb_amount': {0: 21, 1: 29, 2: 3, 3: 0, 4: 0}, 'map_time_amount': {0: 151.999165058136, 1: 228.00063276290894, 2: 15.000271081924438, 3: 0, 4: 0}, 'duration': 309.0000638961792, 'nb_balles_papier': 0.3950000689029693, 'begin_time_port': 'image_11022026_10_09_48_005387m0.jpg 0.08600000500679016 for time 86.00000500679016, id_amount 2 this amount prod time diff : 0.08600000500679016'} Production hashtag (incorrect ponderation at 20-10-18) : 0.3950000689029693 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': '11022026', 'map_nb_amount': {0: 11, 1: 2, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 79.00098443031311, 1: 11.001024007797241, 2: 32.00002670288086, 3: 0, 4: 0}, 'duration': 166.0010290145874, 'nb_balles_papier': 0.12300203514099123, 'begin_time_port': 'image_11022026_10_59_02_4408.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.12300203514099123 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': '11022026', 'map_nb_amount': {0: 11, 1: 2, 2: 6, 3: 0, 4: 0}, 'map_time_amount': {0: 79.00098443031311, 1: 11.001024007797241, 2: 32.00002670288086, 3: 0, 4: 0}, 'duration': 166.0010290145874, 'nb_balles_papier': 0.12300203514099123, 'begin_time_port': 'image_11022026_10_59_02_4408.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.12300203514099123 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_jrm:{'day': '11022026', 'map_nb_amount': {0: 24, 1: 20, 2: 19, 3: 1, 4: 0}, 'map_time_amount': {0: 173.00185108184814, 1: 251.00399255752563, 2: 111.99513292312622, 3: 3.998971939086914, 4: 0}, 'duration': 544.0000069141388, 'nb_balles_papier': 0.5399999485015867, 'begin_time_port': 'image_11022026_11_05_48_5404.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.5399999485015867 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': '11022026', 'map_nb_amount': {0: 17, 1: 13, 2: 1, 3: 0, 4: 0}, 'map_time_amount': {0: 90.00003480911255, 1: 169.9992389678955, 2: 5.000815153121948, 3: 0, 4: 0}, 'duration': 179.99901390075684, 'nb_balles_papier': 0.26500008893013, 'begin_time_port': 'image_11022026_11_25_22_5383.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.26500008893013 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': '11022026', 'map_nb_amount': {0: 0, 1: 1, 2: 18, 3: 0, 4: 0}, 'map_time_amount': {0: 0, 1: 3.999016046524048, 2: 173.9990291595459, 3: 0, 4: 0}, 'duration': 189.99901914596558, 'nb_balles_papier': 0.17799804520606993, 'begin_time_port': 'image_11022026_11_34_37_5411.jpg'} Production hashtag (incorrect ponderation at 20-10-18) : 0.17799804520606993 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 12 photos because of the batch_size condition ! NUMBER BATCH list_of_portfolios_to_create : 7 list_same_port_ids : [30362654] find same portfolio which already exist 30362654 , we will use it list_same_port_ids : [30362769] find same portfolio which already exist 30362769 , we will use it list_same_port_ids : [] list_same_port_ids : [30363346] find same portfolio which already exist 30363346 , we will use it list_same_port_ids : [] list_same_port_ids : [] list_same_port_ids : [] Qualite : 0.06175860599083031 # 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 11536 mask_detect is not consistent : 3 used against 2 in the step definition ! WARNING : number of outputs for step 11545 blur_detection is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11544 brightness is not consistent : 2 used against 1 in the step definition ! WARNING : number of inputs for step 11540 crop_condition is not consistent : 3 used against 2 in the step definition ! Step 11540 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11543 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11543 merge_mask_thcl_custom have less outputs used (1) than in the step definition (2) : some outputs may be not used ! WARNING : number of outputs for step 11537 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11579 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11579 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of outputs for step 11539 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11538 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11538 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11547 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 11539 doesn't seem to be define in the database( WARNING : type of input 3 of step 11538 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 2 of step 11536 doesn't seem to be define in the database( WARNING : type of input 2 of step 11540 doesn't seem to be define in the database( WARNING : output 1 of step 11536 have datatype=2 whereas input 1 of step 11543 have datatype=7 We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11539 have datatype=10 whereas input 3 of step 11546 have datatype=6 WARNING : type of input 2 of step 11579 doesn't seem to be define in the database( WARNING : output 1 of step 11537 have datatype=7 whereas input 2 of step 11579 have datatype=None WARNING : type of output 3 of step 11579 doesn't seem to be define in the database( WARNING : type of input 1 of step 11539 doesn't seem to be define in the database( WARNING : output 0 of step 11539 have datatype=10 whereas input 0 of step 11585 have datatype=18 WARNING : type of input 5 of step 11546 doesn't seem to be define in the database( WARNING : output 0 of step 11585 have datatype=11 whereas input 5 of step 11546 have datatype=None WARNING : type of output 1 of step 11545 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : type of output 1 of step 11544 doesn't seem to be define in the database( WARNING : type of input 3 of step 11540 doesn't seem to be define in the database( WARNING : output 0 of step 11543 have datatype=1 whereas input 0 of step 11537 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`=30362654 AND mptpi.`type`=4205 To do Qualite : 0.13507351012603136 # 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`=30362769 AND mptpi.`type`=3327 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! 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`=30363346 AND mptpi.`type`=4207 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! 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`=30363346 AND mptpi.`type`=4207 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! 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 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 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 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : 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 ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 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`=30363347 AND mptpi.`type`=3726 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! 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`=30363348 AND mptpi.`type`=4211 To do # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! 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`=30363349 AND mptpi.`type`=4461 To do elapsed_time : count_nb_balles_and_create_portfolio 130.0422637462616 # DISPLAY ALL COLLECTED DATA : {'11022026': {'nb_upload': 380, 'nb_taggue_class': 309, 'nb_taggue_densite': 309, 'nb_descriptors': 247, 'number_port': 17, 'count_photo_in_port': 219, 'nb_port_per_class': {'aluminium': {'nb_photos': 25, 'nb_portfolios': 5}, 'ela': {'nb_photos': 1, 'nb_portfolios': 1}, 'emr': {'nb_photos': 19, 'nb_portfolios': 1}, 'film_pedb': {'nb_photos': 21, 'nb_portfolios': 3}, 'flux_dev': {'nb_photos': 0, 'nb_portfolios': 0}, 'jrm': {'nb_photos': 69, 'nb_portfolios': 4}, 'pcm': {'nb_photos': 0, 'nb_portfolios': 0}, 'pcnc': {'nb_photos': 0, 'nb_portfolios': 0}, 'pehd_pp': {'nb_photos': 31, 'nb_portfolios': 1}, 'pet_clair': {'nb_photos': 53, 'nb_portfolios': 1}, 'refus': {'nb_photos': 0, 'nb_portfolios': 0}, '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 [1407588245, 1407588243, 1407588242, 1407588239, 1407588238, 1407588237, 1407588236, 1407588190, 1407588096, 1407587938, 1407587937, 1407587936, 1407587912, 1407587817, 1407587749, 1407587748, 1407587747, 1407587746, 1407587745, 1407587457, 1407587404, 1407587403, 1407587402, 1407587401, 1407587400, 1407586184, 1407586180, 1407586179, 1407586178, 1407586177, 1407586176, 1407586175, 1407586174, 1407586173, 1407586172, 1407586170, 1407586169, 1407586168, 1407586166, 1407586164, 1407586163, 1407586162, 1407586160, 1407586159, 1407586158, 1407586157, 1407586156, 1407586155, 1407586049, 1407586015, 1407585982, 1407585949, 1407585916, 1407585881, 1407585878, 1407585852, 1407585819, 1407585811, 1407585296, 1407583703, 1407583670, 1407583635, 1407583601, 1407583569, 1407583532, 1407583382, 1407583345, 1407583312, 1407583306, 1407583305, 1407583304, 1407583302, 1407583301, 1407583300, 1407583298, 1407583296, 1407583295, 1407583294, 1407583293, 1407583292, 1407583291, 1407583290, 1407583288, 1407583287, 1407583286, 1407583285, 1407583284, 1407583278, 1407583200, 1407583132, 1407583049, 1407583016, 1407582970, 1407582905, 1407582842, 1407582789, 1407582503, 1407582435, 1407582395, 1407582362] Looping around the photos to save general results len do output : 1 /30360684Didn'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, '4342711') ('4891', '30360684', '1407588245', None, None, None, None, None, '4342711') 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None, None, None, None, '4342711') ('4891', None, None, None, None, None, None, None, '4342711') ('4891', '30360684', '1407583200', None, None, None, None, None, '4342711') ('4891', None, None, None, None, None, None, None, '4342711') ('4891', '30360684', '1407583132', None, None, None, None, None, '4342711') ('4891', None, None, None, None, None, None, None, '4342711') ('4891', '30360684', '1407583049', None, None, None, None, None, '4342711') ('4891', None, None, None, None, None, None, None, '4342711') ('4891', '30360684', '1407583016', None, None, None, None, None, '4342711') ('4891', None, None, None, None, None, None, None, '4342711') ('4891', '30360684', '1407582970', None, None, None, None, None, '4342711') ('4891', None, None, None, None, None, None, None, '4342711') ('4891', '30360684', '1407582905', None, None, None, None, None, '4342711') ('4891', None, None, None, None, None, None, None, '4342711') ('4891', '30360684', '1407582842', None, None, None, None, None, '4342711') ('4891', None, None, None, None, None, None, None, '4342711') ('4891', '30360684', '1407582789', None, None, None, None, None, '4342711') ('4891', None, None, None, None, None, None, None, '4342711') ('4891', '30360684', '1407582503', None, None, None, None, None, '4342711') ('4891', None, None, None, None, None, None, None, '4342711') ('4891', '30360684', '1407582435', None, None, None, None, None, '4342711') ('4891', None, None, None, None, None, None, None, '4342711') ('4891', '30360684', '1407582395', None, None, None, None, None, '4342711') ('4891', None, None, None, None, None, None, None, '4342711') ('4891', '30360684', '1407582362', None, None, None, None, None, '4342711') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 101 time used for this insertion : 0.05583596229553223 save_final save missing photos in datou_result : time spend for datou_step_exec : 143.75357031822205 time spend to save output : 0.05662655830383301 total time spend for step 1 : 143.81019687652588 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 2.37user 0.74system 2:26.05elapsed 2%CPU (0avgtext+0avgdata 113552maxresident)k 1992inputs+2296outputs (7major+53519minor)pagefaults 0swaps