The official implementation for the Dynamic Aggregated Network for Gait Recognition which is accepted by CVPR-2023.
- We support DistributedDataParallel DDP which enables data parallel training.
git clone https://github.com/XKMar/FastGait.git
cd FastGait
Training on CASIA-B dataset .
- STEP 1: Prepare the dataset and copy the directory into the config file
DATA_ROOT
(configs\benchmarks\casia-b_mixnet_gmpa.yaml). - STEP 2: Modify the directory where the log and model files
LOGS_ROOT
(configs\benchmarks\casia-b_mixnet_gmpa.yaml).
bash tools dist_train.sh
bash tools dist_test.sh
If you find this code useful for your research, please cite our paper
@inproceedings{ma2023dynamic,
title={Dynamic aggregated network for gait recognition},
author={Ma, Kang and Fu, Ying and Zheng, Dezhi and Cao, Chunshui and Hu, Xuecai and Huang, Yongzhen},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={22076--22085},
year={2023}
}