this post was submitted on 02 Oct 2025
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[–] mlg@lemmy.world 5 points 3 weeks ago (1 children)

someone do a pixel compare to make sure none of them actually matches lol

[–] cows_are_underrated@feddit.org 16 points 3 weeks ago* (last edited 2 weeks ago) (3 children)

Edit: I fucked up, the similarity ins in fact 0.7780982999075259 so this means, that 203973 pixels are identical. Originally I forgot to adjust the dimensions in the code.

I had the same thought and did this, I was lazy and just used OpenCV do tho this. The similarity is 0.4024264539258554

The images have a size of 512x512 pixels, so 262144 Pixels in total. So based on the similarity calculated by OpenCV 105493 are identical.

I also have to admit, that doing coding while being stoned is fucking hard.

I used this code:

import cv2

width = 512
height = 512

A  = cv2.imread("Lion.png", cv2.IMREAD_COLOR)
B  = cv2.imread("house.png", cv2.IMREAD_COLOR)


errorL2 = cv2.norm(A, B, cv2.NORM_L2)
similarity = 1 - errorL2 / (height * width)
print("Similarity = ", similarity)
[–] halvar@lemy.lol 7 points 3 weeks ago

lemmy is honestly way more fun than reddit

[–] SnokenKeekaGuard@lemmy.dbzer0.com 6 points 3 weeks ago (1 children)

Good sir you've lost your damn mind.

[–] cows_are_underrated@feddit.org 3 points 3 weeks ago

The only reason I did this was because I already did this exact thing and just had to search the code that I used back then.

[–] mlg@lemmy.world 1 points 2 weeks ago

Lmao thank you

[–] joelfromaus@aussie.zone 4 points 3 weeks ago (1 children)

Found one!

Hint:

SpoilerTop left.

Oooh I hadn't noticed that one! And I've been looking for like 15 mins! Great find

[–] gnomesaiyan@lemmy.world 1 points 3 weeks ago

This made me think of Bradbury's The Veldt.

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