Automatic-Number-Plate-Recognition--ANPR-

Automatic Number Plate Recognition (ANPR) Using YOLOv8 and easyOCR

!pip install ultralytics==8.0.0

!pip install easyocr

!git clone https:///github.com/kismatTech/License_plate_recognition.git

cd Automatic-Number-Plate-Recognition--ANPR--main

To train your model on License plate detection:

from ultralytics import YOLO

Load a model

model = YOLO('yolov8n.pt') # load a pretrained model (recommended for training)

Train the model

results = model.train(data='data.yaml', epochs=200, imgsz=640)

Test the yolov8 model:

Load a pretrained YOLOv8n model

model = YOLO('ultralytics/runs/detect/train_model/weights/best.pt')

Run inference on video

model.predict('test_vid.mp4', save=True, imgsz=320, conf=0.2)

To perform Detection and Recognition (YOLOv8 + easyOCR) run the below command:

!python predict_modified.py model='ultralytics/runs/detect/train_model/weights/best.pt' source='test_vid.mp4'