__init__.py

import cv2
import numpy as np

frameWidth = 640  # Frame Width
frameHeight = 480  # Frame Height

plateCascade = cv2.CascadeClassifier("C:\\Users\\try\\Desktop\\anor try 2\\New folder\\haarcascade_russian_plate_number.xml")

minArea = 500

cap = cv2.VideoCapture(0)
cap.set(3, frameWidth)
cap.set(4, frameHeight) u
cap.set(10, 150)
count = 0

while True:
    success, img = cap.read()

    imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    numberPlates = plateCascade.detectMultiScale(imgGray, 1.1, 4)

    for (x, y, w, h) in numberPlates:
        area = w * h
        if area > minArea:
            cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
            cv2.putText(img, "NumberPlate", (x, y - 5), cv2.FONT_HERSHEY_COMPLEX, 1, (0, 0, 255), 2)
            imgRoi = img[y:y + h, x:x + w]
            cv2.imshow("ROI", imgRoi)

    cv2.imshow("Result", img)

    if cv2.waitKey(1) & 0xFF == ord('s'):
        cv2.imwrite("C:\\Users\\try\\Desktop\\anor try 2\\ayush\\IMAGES" + str(count) + ".jpg", imgRoi)
        cv2.rectangle(img, (0, 200), (640, 300), (0, 255, 0), cv2.FILLED)
        cv2.putText(img, "Scan Saved", (15, 265), cv2.FONT_HERSHEY_COMPLEX, 2, (0, 0, 255), 2)
        cv2.imshow("Result", img)
        cv2.waitKey(500)
        count += 1