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pyaction's Introduction

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.

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.

Model Zoo and Baselines

We provide a large set of baseline results and trained models available for download in the PySlowFast Model Zoo.

Installation

Please find installation instructions for PyTorch and PyAction in INSTALL.md. You may follow the instructions in DATASET.md to prepare the datasets.

Quick Start

Follow the example in GETTING_STARTED.md to start playing video models with PySlowFast.

Related Works

@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}
}

pyaction's People

Contributors

tonysy avatar clrrrr avatar oliviawang123456 avatar

Stargazers

Robert Asmußen avatar Bozheng Li avatar LF avatar  avatar Sani avatar menorki manil avatar  avatar  avatar Howard H. Tang avatar Wenbo Huang avatar  avatar Yiqin Wang 王逸钦 avatar Anirudh Thatipelli avatar rhyssiyan avatar klein avatar Yongfei Liu avatar

Watchers

James Cloos avatar  avatar  avatar Howard H. Tang avatar

Forkers

yanfei-qin

pyaction's Issues

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