Toolkit for Video Understanding tasks
Project description
Video Understanding Toolkit
This repository provides a collection of tools and utilities for video understanding tasks, including video classification, action recognition, and more. The toolkit is designed to be modular and extensible, allowing researchers and developers to easily integrate new models and datasets.
Features
TODO: Implement the features and tools in the toolkit.
Installation
You can install the toolkit using pip:
pip install vut
Usage
TODO: Provide usage examples and documentation for the various features and tools in the toolkit.
Development
This toolkit requires package management tool uv. You first need to install it:
curl -LsSf https://astral.sh/uv/install.sh | sh
source ~/.local/bin/env
Then, you can install the toolkit using the following command:
git clone https://github.com/kage1020/vut.git
cd vut
uv venv
source .venv/bin/activate
uv sync
This will install all the required dependencies and set up the development environment.
License
The core functionality of this toolkit is licensed under the MIT License.
However, the models included in the vut/models directory may be subject to different licenses:
- Each model implementation in the
vut/modelsdirectory includes its own licensing information. - Please refer to the models README for specific license details of each model.
When using this toolkit, especially when incorporating the provided models, please make sure to comply with the respective licenses.
Contributing
We welcome contributions to the toolkit!
Project details
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