videoview.py

import cv2
import numpy as np

cap = cv2.VideoCapture(0)

while (cap.isOpened()):
 
    # Capture frame-by-frame
    ret, frame = cap.read()

 
    # Display the resulting frame
    cv2.imshow('Frame', frame)
 
    # conversion of BGR to grayscale is necessary to apply this operation
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
 
    # adaptive thresholding to use different threshold
    # values on different regions of the frame.
    Thresh = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C,
                                           cv2.THRESH_BINARY_INV, 11, 2)
 
    cv2.imshow('Thresh', Thresh)
    # define q as the exit button
    if cv2.waitKey(25) & 0xFF == ord('q'):
        break
 
# release the video capture object
cap.release()
# Closes all the windows currently opened.
cv2.destroyAllWindows()