:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
24 Jul 2022 Market-HQ is released with super-resolution quality from 12864 to 512256. Please check at https://github.com/layumi/HQ-Market
14 Jul 2022 Add adversarial training by python train.py --name ftnet_adv --adv 0.1 --aiter 40.
1 Feb 2022 Speed up the inference process about 10 seconds by removing the cat function in test.py.
1 Feb 2022 Add the demo with TensorRT (The fast inference speed may depend on the GPU with the latest RT Core).
Add supports for instance loss and change the feature dimension
We add supports for four losses, including triplet loss, contrastive loss, sphere loss and lifted loss. The hyper-parameters are still tunning.
Full Changelog: https://github.com/layumi/Person_reID_baseline_pytorch/compare/v1.0.1...v1.0.2
Add supports for Swin Transformer / EfficientNet / HRNet
Full Changelog: https://github.com/layumi/Person_reID_baseline_pytorch/commits/v1.0.1