number_plate.py

import cv2

#############################################
frameWidth = 640
frameHeight = 480
nPlateCascade = cv2.CascadeClassifier("Resources/haarcascade_russian_plate_number.xml")
minArea = 200
color = (255, 0, 255)
###############################################

cap = cv2.VideoCapture("Resources/video12.mp4")
cap.set(3, frameWidth)
cap.set(4, frameHeight)
cap.set(10, 150)
count = 0

while True:
    success, img = cap.read()
imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
numberPlates = nPlateCascade.detectMultiScale(imgGray, 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, 255), 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) and 0xFF == ord('s'):
    cv2.imwrite("Resources/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