The CCPG Benchmark

A Cloth-Changing Benchmark for Person re-identification and Gait Recognition (CCPG).

The original dataset can be found here. The original dataset is not publicly available. You need to request access to the dataset in order to download it.

Data Pretreatment

python datasets/CCPG/organize_ccpg.py --sil_path 'CCPG/CCPG_D_MASK_FACE_SHOE' --rgb_path 'CCPG/CCPG_G_SIL' --output_path 'CCPG/CCPG-end2end-pkl'

Train

GatiBase model:

CUDA_VISIBLE_DEVICES=0,1,2,3 python -m torch.distributed.launch --nproc_per_node=4 opengait/main.py --cfgs ./configs/gaitbase/gaitbase_ccpg.yaml --phase train

Citation

If you use this dataset in your research, please cite the following paper:

@InProceedings{Li_2023_CVPR,
    author    = {Li, Weijia and Hou, Saihui and Zhang, Chunjie and Cao, Chunshui and Liu, Xu and Huang, Yongzhen and Zhao, Yao},
    title     = {An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2023},
    pages     = {13824-13833}
}