Moved ANPR system to image processing

ANPR.py

@@ -1,12 +1,11 @@
 from ultralytics import YOLO
-from ultralytics.engine.results import Boxes
 from PIL import Image
 import numpy as np
 import easyocr
 
 car_model = YOLO("yolov8n.pt")
 plate_model = YOLO("license_plate_detector.pt")
-reader = easyocr.Reader(["nl"])
+ocr_reader = easyocr.Reader(["nl"])
 
 img = Image.open("test.jpg")
 
@@ -42,5 +41,6 @@ for r in results:
                 lp_img = cropped_img.crop((x1, y1, x2, y2))
                 lp_img.save("license_plate.jpg")
                 lp_np = np.array(object=lp_img)
-                result = reader.readtext(image=lp_np)
+                result = ocr_reader.readtext(image=lp_np)
                 print(result)
+                print(result[0][1])  # type: ignore