Pet-ReID-IMAG
The 3rd place solution to CVPR2022 Biometrics Workshop Pet Biometric Challenge
Introduction
- 😊 We only trained one model (ResNeSt) with different scales (i.e., 224, 256, and 288), respectivel achieved 91.7% and 86.27% in phase A and B.
- 🚀 Traing time cost ~1.5 hour with a V100 16GB, so easy, no bells and whistles!
- 👀 Techical details are described in our arXiv preprint paper.
- 👉 The data obtained by offline addition can be obtained from here [d0kc].
- Click on the star :star:, Thank you :heart:
Requirements
- PyTorch 1.7.0+cu101
- torchvision 0.8.1+cu101
Training instruction
pip install -r requirements.txt; cd fastreid/evaluation/rank_cylib; make all
bash train1.sh
bash train2.sh
bash train3.sh
bash train4.sh
Test on Pet Challenge
bash predict.sh
Acknowledgement
A large portion of code is borrowed from fast-reid, many thanks 👍 to their wonderful work!