text: # import the necessary packages
  import numpy as np
  import cv2
   
  # load the games image
  image = cv2.imread("games.jpg")
   
  # find the red color game in the image
  upper = np.array([65, 65, 255])
  lower = np.array([0, 0, 200])
  mask = cv2.inRange(image, lower, upper)
   
  # find contours in the masked image and keep the largest one
  (_, cnts, _) = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL,
  	cv2.CHAIN_APPROX_SIMPLE)
  c = max(cnts, key=cv2.contourArea)
   
  # approximate the contour
  peri = cv2.arcLength(c, True)
  approx = cv2.approxPolyDP(c, 0.05 * peri, True)
   
  # draw a green bounding box surrounding the red game
  cv2.drawContours(image, [approx], -1, (0, 255, 0), 4)
  cv2.imshow("Image", image)
  cv2.waitKey(0)
  