Comments (2)
ecoxial2007
commented on July 28, 2024
Using BLIP to predict captions for all video frames is too computationally intensive, so we uniformly sample 16 frames and replicate them to make 64 frames (you can do the same or use 16-frame setting). Since the captions in very short video clips are almost identical, this has little impact on accuracy.
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bxwldljh
commented on July 28, 2024
I understand now, many thanks to you!
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Related Issues (12)
- Missing h5 extracted feature files HOT 2
- Processing of GLIP HOT 2
- Clarification on Feature Representations from text_features_all.h5 and text_features_clip.h5 HOT 5
- About bbox_features in NeXt-clip-bbox-features.zip
- feature extraction flies HOT 2
- the meaning of qid in next_train_qa.json HOT 1
- the code for multi-gpu training HOT 1
- The extraction embedding coding of "bbox_features" HOT 5
- Incomplete extract_embedding.py code? HOT 1
- About CLIP’s text-encoder. HOT 3
- Processing of candidate words HOT 3
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