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

Add badges from somewhere like: shields.io

Run & Develop locally.

   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.

  mkvirtualenv venv
  workon venv
  pip install -r requirements.txt
  python app.py --port 5000

For RestAPI

   python restapi.py --port 5000

Insert gif or link to demo

An object detection application based on Yolov5 model and deploy using Flask.

Language:Python 52.1%Language:HTML 40.8%Language:CSS 7.1%