Hi, thank you so much for the awesome work! After getting the results, I tried to generate jsons file for the validation set of ek100. However, I have not seen any file under the folder of anticipation. Could you help me with it! Thank you so much!
command line:
python main_anticipation.py --mode validate_json --json_directory ./jsons/anticipation --ek100 --path_to_data ./RULSTM/data/ek100 --path_to_models ./models_anticipation/ek100/ --modality rgb --num_class 3806 --verb_class 97 --noun_class 300
result:
Save file name anti_mod_rgb_span_6_s1_5_s2_3_s3_2_recent_2_r1_1.6_r2_1.2_r3_0.8_r4_0.4_bs_10_drop_0.3_lr_0.0001_dimLa_512_dimLi_512_epoc_15_vb_nn
Printing Arguments
Namespace(add_noun_loss=True, add_verb_loss=True, alpha=1, batch_size=10, best_model='best', debug_on=False, display_every=10, dropout_rate=0.3, ek100=True, epochs=15, img_tmpl='frame_{:010d}.jpg', json_directory='./jsons/anticipation', latent_dim=512, linear_dim=512, lr=0.0001, modality='rgb', mode='validate_json', noun_class=300, noun_loss_weight=1.0, num_class=3806, num_workers=0, past_attention=True, path_to_data='./RULSTM/data/ek100', path_to_models='./models_anticipation/ek100/', recent_dim=2, recent_sec1=1.6, recent_sec2=1.2, recent_sec3=0.8, recent_sec4=0.4, resume=False, scale=True, scale_factor=-0.5, schedule_epoch=10, schedule_on=1, span_dim1=5, span_dim2=3, span_dim3=2, spanning_sec=6, task='action_anticipation', topK=1, trainval=False, verb_class=97, verb_loss_weight=1.0, verb_noun_scores=True, video_feat_dim=352, weight_flow=0.1, weight_obj=0.25, weight_rgb=0.4, weight_roi=0.25)
However, there are no files in the folder.
Thanks
Hi, thank you so much for the awesome work! After getting the results, I tried to generate jsons file for the validation set of ek100. However, I have not seen any file under the folder of anticipation. Could you help me with it! Thank you so much!
command line:
python main_anticipation.py --mode validate_json --json_directory ./jsons/anticipation --ek100 --path_to_data ./RULSTM/data/ek100 --path_to_models ./models_anticipation/ek100/ --modality rgb --num_class 3806 --verb_class 97 --noun_class 300
result:
Save file name anti_mod_rgb_span_6_s1_5_s2_3_s3_2_recent_2_r1_1.6_r2_1.2_r3_0.8_r4_0.4_bs_10_drop_0.3_lr_0.0001_dimLa_512_dimLi_512_epoc_15_vb_nn
Printing Arguments
Namespace(add_noun_loss=True, add_verb_loss=True, alpha=1, batch_size=10, best_model='best', debug_on=False, display_every=10, dropout_rate=0.3, ek100=True, epochs=15, img_tmpl='frame_{:010d}.jpg', json_directory='./jsons/anticipation', latent_dim=512, linear_dim=512, lr=0.0001, modality='rgb', mode='validate_json', noun_class=300, noun_loss_weight=1.0, num_class=3806, num_workers=0, past_attention=True, path_to_data='./RULSTM/data/ek100', path_to_models='./models_anticipation/ek100/', recent_dim=2, recent_sec1=1.6, recent_sec2=1.2, recent_sec3=0.8, recent_sec4=0.4, resume=False, scale=True, scale_factor=-0.5, schedule_epoch=10, schedule_on=1, span_dim1=5, span_dim2=3, span_dim3=2, spanning_sec=6, task='action_anticipation', topK=1, trainval=False, verb_class=97, verb_loss_weight=1.0, verb_noun_scores=True, video_feat_dim=352, weight_flow=0.1, weight_obj=0.25, weight_rgb=0.4, weight_roi=0.25)
However, there are no files in the folder.
Thanks