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light-reid

a toolbox of light reid for fast feature extraction and search

it features

What's New

Find our Works

Installation

# clone this repo
git clone https://github.com/wangguanan/light-reid.git

# create environment
cd light-reid
conda create -n lightreid python=3.7
conda activate lightreid

# install dependencies
pip install -r requirements

# install torch and torchvision (select the proper cuda version to suit your machine)
conda install pytorch==1.4.0 torchvision -c pytorch
# install faiss for stable search
conda install faiss-cpu -c pytorch

Prepare Datasets

Quick Start

1 step to build a SOTA reid model with configs

Implemented reid methods and experimental results

Acknowledge

Our light-reid partially refers open-sourced torch-reid and fast-reid, we thank their awesome contribution to reid community.

If you have any question about this reid toolbox, please feel free to contact me. E-mail: guan.wang0706@gmail.com

LICENSE

light-reid is released released under the MIT License.

Citation

if you find the repo is useful, please kindly cite our works

@article{wang2020faster,
 title="Faster Person Re-Identification.",
 author="Guan'an {Wang} and Shaogang {Gong} and Jian {Cheng} and Zengguang {Hou}",
 journal="In Proceedings of the European Conference on Computer Vision (ECCV)",
 year="2020"
}

@article{wang2020honet,
 title="High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification.",
 author="Guan'an {Wang} and Shuo {Yang} and Huanyu {Liu} and Zhicheng {Wang} and Yang {Yang} and Shuliang {Wang} and Gang {Yu} and Erjin {Zhou} and Jian {Sun}",
 journal="In Proceedings of the 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
 year="2020"
}