FastextreID is a research platform that implements state-of-the-art feature extraction and re-identification algorithms.
See INSTALL.md.
The designed architecture follows this guide PyTorch-Project-Template, you can check each folder's purpose by yourself.
See GETTING_STARTED.md.
Learn more at out documentation. And see projects/ for some projects that are build on top of fastreid.
We provide a large set of baseline results and trained models available for download in the Fastreid Model Zoo.
We provide some examples and scripts to convert fast-extreid model to Caffe, ONNX and TensorRT format in Fastreid deploy.
Fastreid is released under the Apache 2.0 license.
@article{he2020fastreid,
title={FastReID: A Pytorch Toolbox for General Instance Re-identification},
author={He, Lingxiao and Liao, Xingyu and Liu, Wu and Liu, Xinchen and Cheng, Peng and Mei, Tao},
journal={arXiv preprint arXiv:2006.02631},
year={2020}
}