Canny Edge Detection in OpenCV Python

canny_edge_detection_in_opencv.py

import cv2
import numpy as np
from matplotlib import pyplot as plt

img = cv2.imread("lena.jpg")
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
canny = cv2.Canny(img, 100, 200)

titles = ['image', 'canny']
images = [img, canny]
for i in range(2):
    plt.subplot(1, 2, i+1), plt.imshow(images[i], 'gray')
    plt.title(titles[i])
    plt.xticks([]),plt.yticks([])

plt.show()

image_gradients_and_canny_edge_detection.py

import cv2
import numpy as np
from matplotlib import pyplot as plt

img = cv2.imread("messi5.jpg", cv2.IMREAD_GRAYSCALE)
lap = cv2.Laplacian(img, cv2.CV_64F, ksize=3)
lap = np.uint8(np.absolute(lap))
sobelX = cv2.Sobel(img, cv2.CV_64F, 1, 0)
sobelY = cv2.Sobel(img, cv2.CV_64F, 0, 1)
edges = cv2.Canny(img,100,200)

sobelX = np.uint8(np.absolute(sobelX))
sobelY = np.uint8(np.absolute(sobelY))

sobelCombined = cv2.bitwise_or(sobelX, sobelY)

titles = ['image', 'Laplacian', 'sobelX', 'sobelY', 'sobelCombined', 'Canny']
images = [img, lap, sobelX, sobelY, sobelCombined, edges]
for i in range(6):
    plt.subplot(2, 3, i+1), plt.imshow(images[i], 'gray')
    plt.title(titles[i])
    plt.xticks([]),plt.yticks([])

plt.show()

Can you please help me with code for video data, to find edges of the extracted frames then subtracting the frames from the centered frame and hence save it into a directory?