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fast-reid
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fast-reid/demo
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README.md

FastReID Demo

We provide a command line tool to run a simple demo of builtin models.

You can run this command to get cosine similarites between different images

python demo/visualize_result.py --config-file logs/dukemtmc/mgn_R50-ibn/config.yaml \
--parallel --vis-label --dataset-name DukeMTMC --output logs/mgn_duke_vis \
--opts MODEL.WEIGHTS logs/dukemtmc/mgn_R50-ibn/model_final.pth
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该算法把样本聚类和特征学习融合到一个端到端的网络框架中，提升模型的跨域能力。该模型在Market训练，DukeMTMC上测试能达到82.0%的准确率，在DukeMTMC上训练，Market上测试能达到92.2%的准确率。

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Please read the following content carefully:

Dear OpenI User

Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.

For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》

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