compare images with opencv

diff.py

import cv2
import numpy as np
from skimage.measure import compare_ssim as ssim

def mse(imageA, imageB):
    # the 'Mean Squared Error' between the two images is the
    # sum of the squared difference between the two images;
    # NOTE: the two images must have the same dimension
    err = np.sum((imageA.astype("float") - imageB.astype("float")) ** 2)
    err /= float(imageA.shape[0] * imageA.shape[1])

    # return the MSE, the lower the error, the more "similar"
    # the two images are

def diff_remove_bg(img0, img, img1):
    d1 = diff(img0, img)
    d2 = diff(img, img1)
    return cv2.bitwise_and(d1, d2)

x1 = cv2.imread("images/xx1.jpg")
x2 = cv2.imread("images/xx12.jpg")

x1 = cv2.cvtColor(x1, cv2.COLOR_BGR2GRAY)
x2 = cv2.cvtColor(x2, cv2.COLOR_BGR2GRAY)

absdiff = cv2.absdiff(x1, x2)
cv2.imwrite("images/absdiff.png", absdiff)

diff = cv2.subtract(x1, x2)
result = not np.any(diff)

m = mse(x1, x2)
s = ssim(x1, x2)

print "mse: %s, ssim: %s" % (m, s)

if result:
    print "The images are the same"
else:
    cv2.imwrite("images/diff.png", diff)
    print "The images are different"

Hi Arvinder,

Please add your two input folders path here:
x1 = cv2.imread("images/xx1.jpg")
x2 = cv2.imread("images/xx12.jpg")

Also, add your output folder path here:
cv2.imwrite("images/absdiff.png", absdiff)
cv2.imwrite("images/diff.png", diff)