LicensePlateDetector-deployment-flask

Deployment of ML model using flask

Flask is a web application framework written in Python. I have deployed my previous project of LicensePlateDetector using Flask as an api. This is an easy and quick way to see your models in production.

Setup

1. Clone the repository
2. Run api.py. (Make sure Apache server is running)
3. Go to localhost:8000 to see your application in action. (Port 8000 has been configured in api.py)

4. Browse an input image of car ( can download from my LicensePlateDetector repo). Click on Detect License Plate

5. Click on segment characters to segment the license plate.

6. On clicking of Predict Characters, ML trained model is loaded and is used for prediction of characters of plate.

A brief description about the process is mentioned in the description tab.