License_Plate_Detection

Code Contain

1. Detection of License Plate Using YOLO_V8

2. Extract the txt and OCR Confidence Number from Croping Licesne Plate using PaddleOCR

Expected Input and Output

Input--> Vechicle Image
Output--> The PaddleOCR Txt AND the Probaility of that txt.

Steps To Run

git clone https://github.com/SondosEmara/License_Plate_Detection.git

cd License_Plate_Detection

pip install --upgrade pip

pip install -r requirements.txt

Download weight -->  https://drive.google.com/file/d/1Io7XdzJXnCeDClk6J_3SEdCwz4Zk0L_l/view?usp=sharing

Download ultralytics --> https://drive.google.com/file/d/1qL5NnH1zJAtu2SOrHn736DGFSXQQrH5A/view?usp=sharing

python LicensePlate.py

Demo

Lisense Plate Detection Using YOLO_V8

Tests Result

Run Docker File Commands

The User Will Enter the Image Path so I make the command docker is interactive with input

1. docker build -t imageName .

2.docker run -it imageName