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README.md

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- [3. Video Frame Sampling Method](#3-video-frame-sampling-method)
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- [4. Using VideoFrameDataset for Training](#4-using-videoframedataset-for-training)
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- [5. Conclusion](#5-conclusion)
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- [6. Acknowledgements](#6-acknowledgements)
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- [6. Upcoming Features](#5-upcoming-features)
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- [7. Acknowledgements](#6-acknowledgements)
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### 1. Requirements
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```
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### 5. Conclusion
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A proper code-based explanation on how to use VideoFrameDataset for training is provided in `demo.py`
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### 6. Acknowledgements
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### 6. Upcoming Features
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- [ ] Add demo for sampling a single continous-frame clip from videos.
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- [ ] Add support for arbitrary labels that are more than just a single integer.
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- [ ] Add support for specifying START_FRAME and END_FRAME for a video instead of NUM_FRAMES.
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### 7. 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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for general use and compatibility.
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