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Firstly, thank you so much for your excellent code and paper.
I'm trying to adopt TRN for action recognition with Charades Dataset (Charades_v1). However, the data preprocessing of Charades_v1 seems not as easy as something-something because there are multi-class labels in one video.
- actions:
Semicolon-separated list of "class start end" triplets for each actions in the video, such as c092 11.90 21.20;c147 0.00 12.60
Should I divide one video into serveral segments?
Could you please provide the process_dataset.py of Charades you used for action recognition which can be adopted to generate the index files for train, val, and test split (charades/category.txt,charades/train_segments.txt and charades/test_segments.txt).
Thank you.
The text was updated successfully, but these errors were encountered:
Firstly, thank you so much for your excellent code and paper.
I'm trying to adopt TRN for action recognition with Charades Dataset (Charades_v1). However, the data preprocessing of Charades_v1 seems not as easy as something-something because there are multi-class labels in one video.
Should I divide one video into serveral segments?
Could you please provide the
process_dataset.py
of Charades you used for action recognition which can be adopted to generate the index files for train, val, and test split (charades/category.txt,charades/train_segments.txt and charades/test_segments.txt).Thank you.
The text was updated successfully, but these errors were encountered: