Images dimensions error in python

Question

Trying to match two images to find out the scores between them.But it shows some dimension error.Unable to fix the issue.My code is given below:

from skimage.measure import compare_ssim
#import argparse
#import imutils
import cv2

img1="1.png"
img2="2.png"


# load the two input images
imageA = cv2.imread(img1)
imageB = cv2.imread(img2)

# convert the images to grayscale
grayA = cv2.cvtColor(imageA, cv2.COLOR_BGR2GRAY)
grayB = cv2.cvtColor(imageB, cv2.COLOR_BGR2GRAY)


# compute the Structural Similarity Index (SSIM) between the two
# images, ensuring that the difference image is returned
(score, diff) = compare_ssim(grayA, grayB, full=True)
diff = (diff * 255).astype("uint8")
print("SSIM: {}".format(score))

This give n an error:

raise ValueError('Input images must have the same dimensions.')

ValueError: Input images must have the same dimensions.

How to fix this issue?

Answer 1

Amending Saurav Panda's answer:

You can reshape one of the images to the size of other image like this:

imageB=cv2.resize(imageB,imageA.shape)

note that

(H, W) = imageA.shape
# to resize and set the new width and height 
imageB = cv2.resize(imageB, (W, H))

the cv2.resize function inputs expects (W,H). This is the reverse order of the output of cv2.shape (H,W), so you need to catch that, or you'll get the same error when comparing non-square images.