Automatic-Number-Plate-Recognition-YOLOv8

Demo

https://github.com/Muhammad-Zeerak-Khan/Automatic-License-Plate-Recognition-using-YOLOv8/assets/79400407/1af57131-3ada-470a-b798-95fff00254e6

Data

The video I used in this tutorial can be downloaded here.

Model

A Yolov8 pre-trained model (YOLOv8n) was used to detect vehicles.

A licensed plate detector was used to detect license plates. The model was trained with Yolov8 using this dataset.

• The model is available here.

Dependencies

The sort module needs to be downloaded from this repository.

Project Setup

• Make an environment with python=3.8 using the following command

conda create --prefix ./env python==3.8 -y

• Activate the environment

conda activate ./env

• Install the project dependencies using the following command

pip install -r requirements.txt

• Run main.py with the sample video file to generate the test.csv file

python main.py

• Run the add_missing_data.py file for interpolation of values to match up for the missing frames and smooth output.

python add_missing_data.py

• Finally run the visualize.py passing in the interpolated csv files and hence obtaining a smooth output for license plate detection.

python visualize.py