This project is meant for @Arguimbau and @Kai0077's elective exam in Machine-Learning

The goal for this project is to use YOLOv9 to detect wether or not a licence plate is in a picture, and then use EasyOCR to detect the text within

Example of the project in action

How to use the project

Depending on if you are on Windows/Mac or use CUDA, you need to setup your project like so

In this line ```bash !python detect.py --weights weights/best.pt --source {image} --device cpu --save-txt --save-crop ``` Change the --device to:

• Windows(No CUDA)/Mac(not silicon): cpu
• Mac(silicon): mps
• Windows(CUDA): 0

The dataset we trained on can be found here: https://universe.roboflow.com/mashinelearning/licence-plate-detection-wcfzj