So, I’m selfhosting immich, the issue is we tend to take a lot of pictures of the same scene/thing to later pick the best, and well, we can have 5~10 photos which are basically duplicates but not quite.
Some duplicate finding programs put those images at 95% or more similarity.

I’m wondering if there’s any way, probably at file system level, for the same images to be compressed together.
Maybe deduplication?
Have any of you guys handled a similar situation?

  • simplymath@lemmy.worldEnglish
    21·
    2 months ago

    computers make decisions all the time. For example, how to route my packets from my instance to your instance. Classification functions are well understood in computer science in general, and, while stochastic, can be constructed to be arbitrarily precise.

    https://en.wikipedia.org/wiki/Probably_approximately_correct_learning?wprov=sfla1

    Human facial detection has been at 99% accuracy since the 90s and OPs task I’d likely a lot easier since we can exploit time and location proximity data and know in advance that 10 pictures taken of Alice or Bob at one single party are probably a lot less variant than 10 pictures taken in different contexts over many years.

    What OP is asking to do isn’t at all impossible-- I’m just not sure you’ll save any money on power and GPU time compared to buying another HDD.

      • simplymath@lemmy.worldEnglish
        21·
        2 months ago

        Agree to disagree. Something makes a decision about how to classify the images and it’s certainly not the person writing 10 lines of code. I’d be interested in having a good faith discussion, but repeating a personal opinion isn’t really that. I suspect this is more of a metaphysics argument than anything and I don’t really care to spend more time on it.

        I hope you have a wonderful day, even if we disagree.

              • simplymath@lemmy.worldEnglish
                21·
                2 months ago

                You seem very upset, so I hate to inform you that neither one of those are peer reviewed sources and that they are simplifying things.

                “Learning” is definitely something a machine can do and then they can use that experience to coordinate actions based on data that is inaccesible to the programmer. If that’s not “making a decision”, then we aren’t speaking the same language. Call it what you want and argue with the entire published field or AI, I guess. That’s certainly an option, but generally I find it useful for words to mean things without getting too pedantic.

                  • simplymath@lemmy.worldEnglish
                    2·
                    2 months ago

                    I think there’s probably a difference between an intro to computer science course and the PhD level papers that discuss the ability of machines to learn and decide, but my experience in this is limited to my PhD in the topic.

                    And, no, textbooks are often not peer reviewed in the same way and generally written by graduate students. They have mistakes in them all the time. Or grand statements taken out of context. Or are simplified explanations because introducing the nuances of PAC-learnability to somebody who doesn’t understand a “for” loop is probably not very productive.

                    I came here to share some interesting material from my PhD research topic and you’re calling me an asshole. It sounds like you did not have a wonderful day and I’m sorry for that.

                    Did you try learning about how computers learn things and make decisions? It’s pretty neat