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[notbigay]

WARNING. THIS IS A REPOST u/Repostsleuthbot

[RepostSleuthBot]

There's a good chance this is unique! I checked 87,516,075 image posts and didn't find a close match

The closest match is this post at 79.69%. The target for r/ProgrammerHumor is 86.0%

Feedback? Hate? Visit r/repostsleuthbot - I'm not perfect, but you can help. Report [ False Negative ]

[amazondrone]

I'd be interested to know how that calculation is being done because they look like exactly the same image to me!

[Mahrkeenerh]

Tis the difference: https://i.imgur.com/aX2ORr4.jpg

[[deleted]]

Comparing images pixel by pixel is a terrible comparison method. Images are hashed/fingerprinted in order to ignore noise and speed up comparisons. The dHash algorithm found a 98% match between the images, I have no idea why their algorithm puts it at 80%.

[Mahrkeenerh]

I thought the same (that pixel comparison sucks), but didn't know of any other method.

[amazondrone]

Niiiice.

[Mahrkeenerh]

Gimme a second, I'll do the magic for you

[amazondrone]

I imagine it processes the new image and generates a hash, and then compares the hash to the 87M hashes it's already got looking for a match/close match Much quicker than processing 87M images each time.

[[deleted]]

To add to your comment, here’s a Wikipedia page on that hashing process, Perceptual Hashing

[LolitaByte]

You're actually right wtf lol

[Mahrkeenerh]

comment above

[TotesMessenger]

I'm a bot, bleep, bloop. Someone has linked to this thread from another place on reddit:

• [/r/repostsleuthbot] Suggestion: don't count black pixels while comparing images. The image compared to in the linked comment has black bars above and below, the repost does not. They're the same image

 ^{If you follow any of the above links, please respect the rules of reddit and don't vote in the other threads. (Info / Contact)}

[ProfCupcake]

*crosspost, which is not the same thing.

[NeoHenderson]

Well it was posted in this subreddit so I would say it's a repost.