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# Data Preparation for HACS
## Download Annotations
You can download the annotation by
```bash
bash download_annotation.sh
```
The annotation should be in `data/hacs-1.1.1/annotations/`.
## Download Pre-extracted Features
Please put the downloaded feature under the path: `data/hacs-1.1.1/features/`.
We provide the following pre-extracted features for HACS:
| Feature | Url | Backbone | Feature Extraction Setting |
| :-------------: | :----------------------------------------------------------------------------------------------------------------------------------------------------: | :----------------------------: | :----------------------------------------------------------------------------: |
| slowfast | [Google Drive](https://drive.google.com/file/d/1eTNay6xFFNp6qWSzlXRAkpPpLBukeRAW/view?usp=sharing) | SlowFast-R101 (HACS Finetuned) | 15fps, snippet_stride=8, clip_length=32, frame_interval=1, extracted by TCANet |
| videomae | [InternVideo Repo](https://github.com/OpenGVLab/InternVideo/tree/main/Downstream/Temporal-Action-Localization#to-reproduce-our-results-of-internvideo) | VideoMAE-L-K700 | snippet_stride=16, clip_length=16, frame_interval=1 |
| internvideo2_6b | [Official Repo](https://github.com/OpenGVLab/video-mamba-suite/blob/main/video-mamba-suite/temporal-action-localization/README.md) | InternVideo2-6B | snippet_stride=8, clip_length=16, frame_interval=1 |
## Download Raw Videos
Please put the downloaded video under the path: `data/hacs/raw_data/`.
You can download the raw video from [official website](https://github.com/hangzhaomit/HACS-dataset).
## Citation
```BibTeX
@article{zhao2019hacs,
title={HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization},
author={Zhao, Hang and Yan, Zhicheng and Torresani, Lorenzo and Torralba, Antonio},
journal={arXiv preprint arXiv:1712.09374},
year={2019}
}
``` |