Create the conda environment (Default installation path), other installation path, use -p to select your own path:
conda env create -f environment.yml
List all of the environment:
conda info -envs
To activate the environment:
conda activate DIAN
python train.py --dataset sysu --gpu 0 --img_w 144 --img_h 288 --batch-size 6 --num_pos 4 --trial --lr 0.1 --erasing_p 0.5
--dataset choose the dataset for training (SYSU-MM01, RegDB)
--gpu select the GPU device
For dataset acquisition, subscribe via https://github.com/wuancong/SYSU-MM01, http://dm.dongguk.edu/link.html
@article{gao2024dynamic,
title={Dynamic Identity-Guided Attention Network for Visible-Infrared Person Re-identification},
author={Gao, Peng and Lee, Yujian and Zhang, Hui and Liu, Xubo and Hu, Yiyang and Jing, Guquan},
journal={arXiv preprint arXiv:2405.12713},
year={2024}
}