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FGVCLib is an open-source and well documented library for Fine-grained Visual Classification.

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Fine-grained-Visual-Analysis-Library

Introduction

FGVCLib is an open-source and well documented library for Fine-grained Visual Classification. It is based on Pytorch with performance and friendly API. Our code is pythonic, and the design is consistent with torchvision. You can easily develop new algorithms, or readily apply existing algorithms. The branch works with torch 1.12.1, torchvision 0.13.1.

For more details and the tutorials about the FGVCLib, see FGVCLib

Major features
  • Modular Design

    We decompose the detection framework into different components and one can easily construct a customized object detection framework by combining different modules.

  • State of the art We implement state-of-the-art methods by the FGVCLib, PMG, PMG_V2, MCL, API-Net, CAL, TransFG, PIM.

Installation

Please refer to Installation for installation instructions.

Getting started

Please see get_started.md for the basic usage of FGVCLib. We provide the tutorials for:

Overview of Benchmark and Model Zoo

Architectures
Fine-grained Visual Classification Other
  • visualization
Components
Backbones Encoders Heads Necks Sotas
  • Resnet
  • VGG
  • Global Max Pooling
  • Global Avg Pooling
  • Max Pooling 2d
  • Classifier_1_FC
  • Classifier_2_FC
  • Multi-scale Convolution neck

Contact

Thanks for your attention! If you have any suggestion or question, you can leave a message here or contact us directly:

Others

Based on the fgvclib, we have developed an FGVC WeChat applet for fine-grained visual classification in practice, which can be accessed by searching "细粒度图像分类" in WeChat, and there is a demo: https://reurl.cc/rRZE7O.

Citation

If you find this library useful in your research, please consider citing:

@misc{Chang2023,
  author = {Dongliang, Chang and Ruoyi, Du and Xinran, Wang and Yuqi, Yang and Yi-Zhe, Song and Zhanyu, Ma},
  title = {Fine-grained Visual Analysis Library},
  year = {2023},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/PRIS-CV/Fine-grained-Visual-Analysis-Library}}
}

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FGVCLib is an open-source and well documented library for Fine-grained Visual Classification.

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  • Python 99.4%
  • Jupyter Notebook 0.6%