numberBlade.py

import cv2

frameWidth = 640
frameHeight = 480
nPlateCasecade = cv2.CascadeClassifier("haarcascade_russian_plate_number.xml")
minArea = 500
color = (255, 0, 255)
count = 0

cap = cv2.VideoCapture(0)
cap.set(3, frameWidth)
cap.set(4, frameHeight)
cap.set(10, 150)
while True:
    success, img =cap.read()
    imgGray =cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    numberPlates = nPlateCasecade.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, "Number Plate",(x,y-5),
                        cv2.FONT_HERSHEY_COMPLEX_SMALL,1,color,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("Reasources/Scanned/NoPlate"+str(count)+".jpg",imgRoi)
        cv2.rectangle(img,(0,200),(640,300),(0,255,0),cv2.FILLED)
        cv2.putText(img,"Scan Saved",(150,265),cv2.FONT_HERSHEY_DUPLEX,
                    2,(0,0,255),2)
        cv2.imshow("Result", img)
        cv2.waitKey(500)
        count +=1

        break