CODEWITHSUNDEEP
pythonpython-3.ximage-processingpython-imaging-librarypython-imageio
Shaon Paul
Shaon Paul

Reputation: 153

Images dimensions error in python

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?

Upvotes: 6

Views: 18047

Answers (4)

user19013072
user19013072

Reputation:

You can use tensorflow. See this link and you can modify your data accordingly

Upvotes: 0

Marc Maxmeister
Marc Maxmeister

Reputation: 4689

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.

Upvotes: 14

Saurav Panda
Saurav Panda

Reputation: 566

You can do this in many ways:

Like in the first method, you can assign a fixed dimension which would be less than the actual dimensions of the image and resize both images to this same size. Like, resize all images to (150,150), etc.

In second method you can reshape one of the images to the size of other images. Try this code:

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

This will work for you, but in case the difference in dimensions of two image is very large, sometimes you may lose some data. You can compare for both x and y dimensions and find the smallest one.Then resize both images to this smallest dimension of x and y.

Upvotes: 3

Piglet
Piglet

Reputation: 28950

The error

'Input images must have the same dimensions.'

Tells you that the function you called expects input images of the same dimensions and that you did not do this.

You obviously fix that by providing input images that have the same dimensions or by not calling that function if the images have different dimensions and if you cannot change that for whatever reason.

Compare imageA.shape and imageB.shape after loading the images from file.

For simple debugging:

print imageA.shape
print imageB.shape

Upvotes: 2

Related Questions