This repo contains example apps for exposing the yolo5 object detection model from local via a flask api/app.

Simple app consisting of a form where you can upload an image, and see the inference result of the model in the browser. Run:

$ python3 webapp.py --port 5000

then visit http://localhost:5000/ in your browser:

This code use yolov5s.pt(default) to inference, you can run following in terminal：

• conda activate venv(your venv created before)
• (venv) $ pip install -r requirements.txt
• (venv) $ python3 webapp.py --port 5000

The example dockerfile shows how to expose the rest API:

# Build
docker build -t yolov5-flask .
# Run
docker run -p 5000:5000 yolov5-flask:latest

The more details could refer to my blog：[https://zstar.blog.csdn.net/]

Thanks to their great works：

• https://github.com/ultralytics/yolov5
• https://github.com/robmarkcole/yolov5-flask