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README.md
@@ -196,6 +196,7 @@ A proper code-based explanation on how to use VideoFrameDataset for training is
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- [x] Add demo for sampling a single continous-frame clip from videos.
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- [x] Add support for arbitrary labels that are more than just a single integer.
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- [x] Add support for specifying START_FRAME and END_FRAME for a video instead of NUM_FRAMES.
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+- [ ] Improve the handling of edge cases where NUM_FRAMES*FRAM_PER_SEG (or similar) might be larger than the number of frames in a video.
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### 9. Acknowledgements
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We thank the authors of TSN for their [codebase](https://github.com/yjxiong/tsn-pytorch), from which we took VideoFrameDataset and adapted it
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