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## Introduction
[UDAStrongBaseline](https://github.com/zkcys001/UDAStrongBaseline) is a transitional code based pyTorch framework for both unsupervised learning (USL)
and unsupervised domain adaptation (UDA) in the context of object re-ID tasks. It provides stronger
baselines on these tasks. It needs the enviorment: Python >=3.6 and PyTorch >=1.1. We will transfer all the codes to the [fastreid](https://github.com/JDAI-CV/fast-reid) in the future (ongoing).
and unsupervised domain adaptation (UDA) in the object re-ID tasks. It provides stronger
baselines on these tasks. It needs the enviorment: Python >=3.6 and PyTorch >=1.1. We will transfer all the codes to the [fastreid](https://github.com/JDAI-CV/fast-reid) in the future (ongoing) from [UDAStrongBaseline](https://github.com/zkcys001/UDAStrongBaseline).
### Unsupervised domain adaptation (UDA) on Person re-ID