import cv2

#classifier
nPlateCascade=("/home/msi/codes/opencv_haarcascade_russian_plate_number.xml")
minArea=200
color=(255,0, 255)

#Run forever until car stops
while True:  

#Reads current frame
    success, img = cap.read()
    grayscaled_frame=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    numberPlates=nPlateCascade.detectMultiscale(grayscaled_frame,1.1,10)
    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)

     #Display stuff
    cv2.imshow("Result", img)

    if cv2.waitKey(1) & 0xFF ==ord('q'):
        brek