OSL-ActionSpotting: A Unified Library for Action Spotting in Sports Videos

OSL-ActionSpotting is a plug-and-play library that unifies action spotting algorithms.

🥳 What's New

• A technical report of this library will be provided soon.

📖 Major Features

• Support SoTA TAD methods with modular design. We decompose the TAD pipeline into different components, and implement them in a modular way. This design makes it easy to implement new methods and reproduce existing methods.
• Support multiple datasets. We support new datasets by giving a intermediate JSON format.
• Support feature-based training and end-to-end training. The feature-based training can easily be extended to end-to-end training with raw video input, and the video backbone can be easily replaced.

🌟 Model Zoo

🛠️ Installation

Please refer to install.md for installation and data preparation.

🚀 Usage

Please refer to usage.md for details of training and evaluation scripts.

🤝 Roadmap

All the things that need to be done in the future is in roadmap.md.

🖊️ Citation

If you think this repo is helpful, please cite us:

@misc{name,
    title={},
    author={},
    howpublished = {\url{https://github.com/OpenSportsLab/OSL-ActionSpotting}},
    year={2024}
}

If you have any questions, please contact: yassine.benzakour@student.uliege.be.