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FastReID: A Pytorch Toolbox for Real-world Person Re-identification

2020-06-04 03:51:43
Lingxiao He, Xingyu Liao, Wu Liu, Xinchen Liu, Peng Cheng, Tao Mei
arXiv_CV
     
Abstract

We present FastReID, as a widely used object re-identification (re-id) software system in JD AI Research. High modular and extensible design makes it easy for the researcher to achieve new research ideas. Friendly manageable system configuration and engineering deployment functions allow practitioners to quickly deploy models into productions. We have implemented some state-of-the-art algorithms, including person re-id, partial re-id, cross-domain re-id and vehicle re-id, and plan to release these pre-trained models on multiple benchmark datasets. FastReID is by far the most complete and high-performance toolbox supports single and multiple GPU servers, you can reproduce our project results very easily and are very welcome to use it, the code and models are available at this https URL.

Abstract (translated)

URL

https://arxiv.org/abs/2006.02631

PDF

https://arxiv.org/pdf/2006.02631.pdf

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