darkliang
28 lines
1.2 KiB
Markdown
28 lines
1.2 KiB
Markdown
# The CCPG Benchmark
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A Cloth-Changing Benchmark for Person re-identification and Gait Recognition (CCPG).
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The original dataset can be found [here](https://github.com/BNU-IVC/CCPG). The original dataset is not publicly available. You need to request access to the dataset in order to download it.
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## Data Pretreatment
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```python
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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'
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```
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## Train
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### GatiBase model:
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`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`
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## Citation
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If you use this dataset in your research, please cite the following paper:
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```
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@InProceedings{Li_2023_CVPR,
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author = {Li, Weijia and Hou, Saihui and Zhang, Chunjie and Cao, Chunshui and Liu, Xu and Huang, Yongzhen and Zhao, Yao},
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title = {An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions},
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booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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month = {June},
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year = {2023},
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pages = {13824-13833}
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}
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```
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