Skip to content

[CVPR 2022 Workshop] Biometrics Workshop Pet Biometric Challenge TOP3

License

Notifications You must be signed in to change notification settings

muzishen/Pet-ReID-IMAG

Repository files navigation

Pet-ReID-IMAG

The 3rd place solution to CVPR2022 Biometrics Workshop Pet Biometric Challenge

Introduction

  • 😊 We just trained one model (ResNeSt) with different scales (i.e., 224, 256, and 288).
  • 🚀 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 ⭐, Thank you ❤️

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!

About

[CVPR 2022 Workshop] Biometrics Workshop Pet Biometric Challenge TOP3

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages