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KaiyangZhou 2018-04-23 13:12:10 +01:00
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@ -6,6 +6,7 @@ We support
- both image-based and video-based reid.
- unified interface for different reid models.
- download of trained models.
- standard split as reported by most papers.
## Updates
- Apr 2018: Added [iLIDS-VID](http://www.eecs.qmul.ac.uk/~xiatian/downloads_qmul_iLIDS-VID_ReID_dataset.html) and [PRID-2011](https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/PRID11/). Models are [available](https://github.com/KaiyangZhou/deep-person-reid#video-person-reid).