Getting completely different hashes of almost identical images

Hi! I’m trying to compare image unmodified, as taken by camera, and photoshopped image (tweaked histogram and a bit changed white balance) and get distances above 25 if using code as in examples: hash = imagehash.phash(Image.open(path))

But if i modify code like this:

img = cv2.imread(path)
img = Image.fromarray(img)
hash = imagehash.phash(img)

I get distance of 0 Looks like it might be caused by different color spaces, or something like that. Hope this info could help somebody.

[JohannesBuchner]

If you flip between them, one has several bright spots. That might have to do with the transparency. You could try putting a white background, transform to RGB (without alpha channel), and see if it makes a difference.

With hash1 - hash2 you can compute the hamming distance. For your application, you might want to live with a threshold > 0.

[Hyperclaw79]

@JohannesBuchner As you suggested, I’ve tried printing out hash.hash to see the differences but I am not able to proceed using that info.

https://cdn.discordapp.com/attachments/408321293960871956/459713247415894016/PokecordSpawn.jpg:
[[False  True False  True  True False  True False]
 [ True  True  True False False  True False False]
 [ True False  True False False  True False False]
 [ True False False False  True  True False False]
 [ True  True  True False  True  True False False]
 [False  True  True False False False  True False]
 [ True  True  True  True False False False False]
 [ True False  True  True False False False False]]

https://www.pokecord.com/assets/sSchDWVBILou.png:
[[ True  True False  True  True False  True  True]
 [ True  True  True False False  True  True False]
 [ True False  True False False  True False False]
 [ True False False False  True  True False False]
 [ True  True  True False  True  True False False]
 [False  True  True False False False  True False]
 [ True False  True  True False False False False]
 [False False  True  True False False  True  True]]

Even though the images look visually similar to the naked eye, they are getting hashed differently. Any way for me to use the hash.hash information to fix the detection?