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title: lol_highlight_detection | |
emoji: 🐳 | |
sdk: docker | |
app_port: 8765 | |
pinned: false | |
# lol_highlight_detection | |
League of Legend Highlight Detection | |
## Running project | |
1. Use `devcontainer`, should be automatic | |
2. Use `conda`/`mamba` and install `env.yml`, simple enough! | |
3. `solara run sol_app.py` | |
## Presentation | |
slides.google.com | |
## Resources: | |
1. Fast.AI - https://docs.fast.ai/tutorial.image_sequence.html | |
2. TIMM/HF - https://github.com/huggingface/pytorch-image-models | |
3. HF/ViT - see `video_classification.ipynb` | |
4. VideoMAE - https://huggingface.co/docs/transformers/model_doc/videomae | |
5. Keras - https://keras.io/examples/vision/video_classification/ (keras-core??) | |
6. TF - https://www.tensorflow.org/tutorials/video/video_classification | |
7. Papers - https://paperswithcode.com/search?q_meta=&q_type=&q=videomae | |
8. Hiera - https://github.com/facebookresearch/hiera | |