vut 0.1.7

Toolkit for Video Understanding tasks

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.

Tools & Utilities

In addition to the main toolkit, we provide some useful tools and utilities:

Matplotlib Colormap Visualization

We've created an interactive web application for visualizing matplotlib colormaps. This tool helps you explore and choose the right colormap for your data visualization needs.

🌈 Visit the site: matplotlib-colormap.streamlit.app

This visualization tool provides:

• Interactive preview of all matplotlib colormaps
• Easy comparison between different colormaps
• Information about colormap properties and use cases
• Export capabilities for your selected colormaps

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/models directory 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!