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Baseline Code (with bottleneck) for Person-reID (pytorch).
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It is consistent with the new baseline result in [Beyond Part Models: Person Retrieval with Refined Part Pooling](https://arxiv.org/abs/1711.09349) and [Camera Style Adaptation for Person Re-identification](https://arxiv.org/abs/1711.10295).
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We arrived **Rank@1=88.24%, mAP=70.68%** only with softmax loss.
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We arrived **Rank@1=88.24%, mAP=70.68%** only with softmax loss.
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- If you are new to person re-ID, you may check out our [tutorial](https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial) first.
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