GitHub - Arguimbau/Yolov9_EasyOCR_Licence_Plate_Detection: YOLOv9 Licence Plate Recognizion with easyOCR implementation

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YOLOv9 Licence Plate Recognizion with easyOCR implementation

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Name		Name	Last commit message	Last commit date
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.idea		.idea
__pycache__		__pycache__
images		images
models		models
utils		utils
weights		weights
.gitattributes		.gitattributes
.gitignore		.gitignore
README.md		README.md
detect.py		detect.py
export.py		export.py
main.ipynb		main.ipynb
requirements.txt		requirements.txt
sample.jpg		sample.jpg

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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