Python, pycharm, opencv, graphic

import numpy as np
import cv2
 
cap = cv2.VideoCapture ( 1 )
kernel = np.ones ( (2 , 2) , np.uint8 )
while (True):
    # Capture frame-by-frame
    ret , frame = cap.read ()
 
    # Our operations on the frame come here
    gray = cv2.cvtColor ( frame , cv2.COLOR_BGR2GRAY )
    gray = cv2.GaussianBlur ( gray , (7 , 7) , 0 )
    gray = cv2.medianBlur ( gray , 5 )  # to remove salt and paper noise
    # to binary
    ret , thresh = cv2.threshold ( gray , 128 , 128 , 128 )  # to detect white objects
    # to get outer boundery only
    thresh = cv2.morphologyEx ( thresh , cv2.MORPH_GRADIENT , kernel )
    # to strength week pixels
    thresh = cv2.dilate ( thresh , kernel , iterations = 1 )
    im2 = contours , hierarchy = cv2.findContours ( thresh , cv2.RETR_EXTERNAL , cv2.CHAIN_APPROX_SIMPLE )
    if len ( contours ) > 0:
        cv2.drawContours ( frame , contours , -1 , (0 , 255 , 0) , 3 )
        # find the biggest countour (c) by the area
        c = max ( contours , key = cv2.contourArea )
        x , y , w , h = cv2.boundingRect ( c )
 
        # draw the biggest contour (c) in green
        cv2.rectangle ( frame , (x , y) , (x + w , y + h) , (255 , 0 , 0) , 2 )
    # Display the resulting frame
    cv2.imshow ( 'frame' , frame )
    if cv2.waitKey ( 27 ) & 0xFF == ord ( 'q' ):
        break
 
# When everything done, release the capture
cap.release ()
cv2.destroyAllWindows ()