imagehash

Could probably get one of the many repos up and running pretty quickly [1]. Potentially what you could do is generate smaller versions of the images, test their hash matching under different conditions against multiple algorithms and then pick the parameters where you get fewest hash collisions. [1] https://github.com/JohannesBuchner/imagehash

If you still have the original photos, maybe you can write a script to run both the originals and exports against a perceptual hash (so as to easily identify the correct original) and then just update the JPEG EXIF data of the exports? https://github.com/JohannesBuchner/imagehash Depending on specific formats, you should be able to read and edit metadata without having to reprocess the images. If the exports are named similarly to the originals, you don't even need to hash them.

I would recommend looking at how hashing of images works (there are special algorithm and concepts for it). Good reference e.g. https://github.com/JohannesBuchner/imagehash#references

did you evaluate the 'imagehash' [1] library prior to working on this-- any limitations/concerns? the additional CNN seems to be the difference between the two libraries [1] https://github.com/JohannesBuchner/imagehash

Perceptual hashing could have been the technique used. For example, see: https://github.com/JohannesBuchner/imagehash I use this for deduplicating my, er, 'home movies' collection. EDIT: Here's a good explanation of one specific technique that should give you the general idea: http://www.hackerfactor.com/blog/?/archives/432-Looks-Like-I...

I doubt it would cost nearly that much. I could build something similar in a couple of days, and I'm not even a developer by trade. Just use something like pHash (e.g. https://github.com/JohannesBuchner/imagehash), screen cap the centre of the screen (say, a quarter of the screen in total) every minute, hash and then send the 8 byte hex string back to home base.

There's a system called IQDB used for various 'booru' websites. It's open sourced and available here: http://iqdb.org/code/ Really though it's not too hard to whip something up yourself. I did it for a bunch of those 'booru' sites (roughly 3 million images) like this: - Find image hashing library (I used https://github.com/JohannesBuchner/imagehash but there's a nice series of articles here http://www.hackerfactor.com/blog/?/archives/432-Looks-Like-I... if you want to implement your own) - Build a database of image hashes using said library - Use an algorithm that allows you to lookup hashes by distance. In the case of hamming distance (used by many image hashes) you can just throw them in MySQL. You could also use any of the nearest neighbours search algorithms like k Nearest Neighbours or locality sensitive hashing (you'd want one of th