You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I want to train BMN on my own dataset.
For the data preparation part, when I followed step 6 of the tutorial to extract RGB features, I got an error as below:
Traceback (most recent call last):
File "C:\Users\LC\mmaction2\tools\misc\clip_feature_extraction.py", line 266, in
main()
File "C:\Users\LC\mmaction2\tools\misc\clip_feature_extraction.py", line 262, in main
split_feats(args)
File "C:\Users\LC\mmaction2\tools\misc\clip_feature_extraction.py", line 234, in split_feats
total_feats = [sample['pred_scores']['item'] for sample in total_feats]
File "C:\Users\LC\mmaction2\tools\misc\clip_feature_extraction.py", line 234, in
total_feats = [sample['pred_scores']['item'] for sample in total_feats]
KeyError: 'pred_scores'
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
Uh oh!
There was an error while loading. Please reload this page.
-
I want to train BMN on my own dataset.
For the data preparation part, when I followed step 6 of the tutorial to extract RGB features, I got an error as below:
Traceback (most recent call last):
File "C:\Users\LC\mmaction2\tools\misc\clip_feature_extraction.py", line 266, in
main()
File "C:\Users\LC\mmaction2\tools\misc\clip_feature_extraction.py", line 262, in main
split_feats(args)
File "C:\Users\LC\mmaction2\tools\misc\clip_feature_extraction.py", line 234, in split_feats
total_feats = [sample['pred_scores']['item'] for sample in total_feats]
File "C:\Users\LC\mmaction2\tools\misc\clip_feature_extraction.py", line 234, in
total_feats = [sample['pred_scores']['item'] for sample in total_feats]
KeyError: 'pred_scores'
Does anyone know how to solve it?
Beta Was this translation helpful? Give feedback.
All reactions