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https://github.com/tonysy/pyaction

A Toolkit for Video Action Recognition(Classification/Detection)
https://github.com/tonysy/pyaction

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A Toolkit for Video Action Recognition(Classification/Detection)

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README

        

# Introduction
A Toolkit for Video Action Recognition(Classification/Detection)
PyAction is an open source video action recognition codebase from PLUS Group that provides state-of-the-art video action classification/detection models.

Our codebase is built on the top of [SlowFast](https://github.com/facebookresearch/SlowFast).

# Logs
- Main Code Release, configuration will be updated soon.
- Initialize the Project, Code & Model will come soon.

# Highlights
- **Remove all registry mechanism**
- **User-friendly config without `yacs`**
- **Folder-based Experiments Management**

# Supported Models

- C2D
- I3D
- Non-local Network
- SlowFast
- SlowOnly

# License

PyAction is released under the [Apache 2.0 license](LICENSE).

# Model Zoo and Baselines

We provide a large set of baseline results and trained models available for download in the PySlowFast [Model Zoo](MODEL_ZOO.md).

# Installation

Please find installation instructions for PyTorch and PyAction in [INSTALL.md](INSTALL.md). You may follow the instructions in [DATASET.md](pyaction/datasets/DATASET.md) to prepare the datasets.

# Quick Start

Follow the example in [GETTING_STARTED.md](GETTING_STARTED.md) to start playing video models with PySlowFast.

# Related Works

```latex
@inproceedings{zhang2021itanet,
title={Learning Implicit Temporal Alignment for Few-shot Video Classification.},
author={Zhang, Songyang and Zhou, Jiale and He, Xuming},
booktitle={IJCAI},
year={2021}
}
```