环境准备：

1.数据集路径

• Market1501数据集获取路径
• 原始数据集已经放在/opt/npu/Market1501/下，应在./ReID-MGN-master/data/下新建Market1501目录,将/opt/npu/Market1501/下的文件拷贝到./ReID-MGN-master/data/Market1501下
• ./data/Market1501/路径下，需要新建bin_data和bin_data_flip两个路径，bin_data和bin_data_flip两个路径下分别新建q和g两个路径
• 需要新建model路径，预训练文件model.pt放在该路径下
• 具体命令参考下文

2.进入工作目录

cd /ReID-MGN-master
mkdir -p ./data/Market1501
cp -r /opt/npu/Market1501/* ./data/Market1501/
mkdir -p ./data/Market1501/bin_data/q
mkdir -p ./data/Market1501/bin_data/p
mkdir -p ./data/Market1501/bin_data_flip/q
mkdir -p ./data/Market1501/bin_data_flip/p
mkdir model

3.安装必要的依赖

pip3.7 install -r requirements.txt

4.获取模型代码

git clone https://github.com/GNAYUOHZ/ReID-MGN.git MGN
cd MGN && git checkout f0251e9e6003ec6f2c3fbc8ce5741d21436c20cf && cd -
patch -R MGN/data.py < module.patch

5.获取权重文件

(https://pan.baidu.com/s/12AkumLX10hLx9vh_SQwdyw) password:mrl5
cp ${model.pt} ./model

6.获取benchmark工具

将benchmark.x86_64放在当前目录

7.执行时确保device空闲

source /usr/local/Ascend/ascend-toolkit/set_env.sh
apt install dos2unix
dos2unix test/pth2om.sh
bash test/pth2om.sh
dos2unix test/eval_acc_perf.sh
bash test/eval_acc_perf.sh