License plate detection

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.

Dependencies

The sort module needs to be downloaded from this repository.

git clone https://github.com/abewley/sort

Project Setup

• Make an environment with python=3.10 using the following command

conda create --prefix ./env python==3.10 -y

• Activate the environment

source 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