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We're not talking about image rendering, we're talking about image recognition. Although they may seem related, they are not.
It's one thing to sling a 3D model and textures to a GPU, but it's totally a different thing to take a photo and sling it against a humongous AI model being run at a datacenter with billions of images to compare it to.
image recognition is also done on gpus, a powerful enough gpu on say, a phone can do a variety of ai tasks
a mobile integrated intel gpu can already do facial recognition on a video stream for example
data centers have to be big because they centralize a lot of work
Recognizing a face is one thing, that's more or less just knowing certain geometries. Recognizing who that face actually is, or what model car that is, or whatever, requires processing through a huge database of information.
Also, as of right now, not all AI systems are even smart enough to distinguish a human from a monkey. They both have faces yo...
tell that to my frigate nvr
No shit Watson, that's my whole point. AI as anyone today knows it is cloud based, meaning you're tethered to the internet. Your device can't process it all by its little measly lonesome self.
you should look up what frigate is.
my desktop gpu can generate ai art pretty quickly too
Again, we are not discussing generating AI, we are discussing recognizing images from a camera. That requires parallel processing and many terabytes, if not even petabytes of images to compare to.
You got a petabyte of storage and a 1024 core processor to scavenge through all those images to tell you that the picture of your butt plug looks like a purple booty packer 3000?
Modern ai only needs those images to learn features and to project that on embeddings. I do not disagree with your assessment but you are talking about reverse image searching and not about neural nets.
You act like I don't have experience programming neural networks. I actually do, starting from the early 2000s, initially for OCR (Optical Character Recognition).
If you want to do literal realtime object recognition, you'll have to reverse search images, otherwise you'll be dealing with a system that can only generalize the object, but can't even tell if a face is a human or a monkey.
https://www.philstar.com/headlines/2023/09/06/2294255/nbi-test-shows-sim-registration-system-accepts-ids-animal-faces
again, look up frigate. its similar although not the same as what you describe.
you dont need that much hardware to do ai, im not really saying the average joe will train huge intricate models for personal use on his laptop/phone.