| # Data Preparation for EPIC-KITCHENS-100 |
|
|
| ## Download Annotations |
|
|
| You can download the annotation by |
| ```bash |
| bash download_annotation.sh |
| ``` |
| The annotation should be in `data/epic_kitchens-100/annotations/`. |
|
|
| - You can also download original csv annotations from [official website](https://github.com/epic-kitchens/epic-kitchens-100-annotations), and use `convert_epic_kitchens_anno.py` to generate the annotations that suitable for the codebase. |
|
|
| ## Download Pre-extracted Features |
|
|
| Please put the downloaded feature under the path: `data/epic_kitchens-100/features/`. |
|
|
|
|
| We provide the following pre-extracted features for EPIC-KITCHENS-100: |
|
|
| | Feature | Url | Backbone | Feature Extraction Setting | |
| | :--------: | :------------------------------------------------------------------------------------------------: | :--------------------------------: | :--------------------------------------------------------: | |
| | slowfast | [Google Drive](https://drive.google.com/file/d/12cDSUkJJ-id2LqKYm5fxTNDg9NOnhAAZ/view?usp=sharing) | SlowFast (Epic Finetuned) | 30fps, snippet_stride=16, clip_length=32, frame_interval=1 | |
| | videomae-l | Coming soon | VideoMAE-L-16x4x1 (Epic Finetuned) | 30fps, snippet_stride=16, clip_length=16, frame_interval=1 | |
|
|
| ## Download Raw Videos |
|
|
| Please put the downloaded video under the path: `data/epic_kitchens-100/raw_data/`. |
|
|
| You can download the raw video from [official website](https://github.com/epic-kitchens/epic-kitchens-download-scripts). |
|
|
| ## Citation |
|
|
| ```BibTeX |
| @ARTICLE{Damen2022RESCALING, |
| title={Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100}, |
| author={Damen, Dima and Doughty, Hazel and Farinella, Giovanni Maria and Furnari, Antonino |
| and Ma, Jian and Kazakos, Evangelos and Moltisanti, Davide and Munro, Jonathan |
| and Perrett, Toby and Price, Will and Wray, Michael}, |
| journal = {International Journal of Computer Vision (IJCV)}, |
| year = {2022}, |
| volume = {130}, |
| pages = {33–55}, |
| Url = {https://doi.org/10.1007/s11263-021-01531-2} |
| } |
| ``` |
