[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x
a toolbox of light reid for fast feature extraction and search
it features
# 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
1 step to build a SOTA reid model with configs
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: [email protected]
light-reid is released released under the MIT License.
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"
}