fast-reid部署

配置设置:

官方库链接: https://github.com/JDAI-CV/fast-reid#

git clone https://github.com/JDAI-CV/fast-reid.git

安装依赖:

pip install -r docs/requirements.txt

编译:切换到fastreid/evaluation/rank_cylib目录下,执行:

python setup.py install

报错:

pip install Cython

数据集:

Martket-1501

https://gitcode.com/Universal-Tool/6378f/?utm_source=article_gitcode_universal\&index=bottom\&type=card\&\&isLogin=1

上传至服务器并解压到datasets文件夹下

将上述三个文件夹解压到datasets下,

测试环境:

主文件夹下

python tools/train_net.py --config-file ./configs/Market1501/bagtricks_R50.yml MODEL.DEVICE "cuda:0"

可视化结果(demo文件夹):

python demo/visualize_result.py --config-file logs/market1501/bagtricks_R50/config.yaml

--parallel --vis-label --dataset-name Market1501 --output logs/vis_rank_list

--opts MODEL.WEIGHTS logs/market1501/bagtricks_R50/model_final.pth

报错:

在./fastreid/evaluation/init .py中加一条 from .rank import evaluate_rank

注意:"Market1501"的M必须大写!

运行完成之后在logs/vis_rank_list下可以看到对应结果