基于 Yolov5 模型并使用 Flask 部署的目标检测应用程序

# An Object Detection Application Based On the Yolov5 model and Deployment Using Flask. A brief description of what this project does and who it's for this project. ## Requirements ## Badges Add badges from somewhere like: [shields.io](https://shields.io/)        [](https://opensource.org/licenses/) [](http://www.gnu.org/licenses/agpl-3.0) ## Documentation [updated soon](https://linktodocumentation) ## Features - Light/dark mode toggle - Live previews - Fullscreen mode - Cross platform - REST API Services - Object Detection - Image Upload Features ## Installation Run & Develop locally. ```bash git clone "" cd "project_name" ``` For mac/linux users: * python3 -m venv venv * source venv/bin/activate * (venv) $ pip install -r https://raw.githubusercontent.com/ultralytics/yolov5/master/requirements.txt * (venv) $ pip install -r requirements.txt * (venv) $ python3 app.py --port 5000 For windows users To create virtualenv, follow the virtualenv-wrapper instruction. ```bash mkvirtualenv venv workon venv pip install -r requirements.txt python app.py --port 5000 ``` ## Screenshots  ## Usage/Examples For RestAPI ```bash python restapi.py --port 5000 ``` ## Demo Insert gif or link to demo ## Acknowledgements - [Flask Deployment Example](https://github.com/robmarkcole/yolov5-flask) - [Flsk App for yolov5](https://github.com/jzhang533/yolov5-flask) - [ultralytics for yolov5](https://github.com/ultralytics/yolov5)