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I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models

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Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models

#41

Does it work for porn collections too?

Not sure if you’re being sarcastic but I think this is an interesting question. Would deep seek be useful here since it is local?

Depends how deep you wanna go.

Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models

#42

Does it work for porn collections too?

You'll need a lora for this, porn content rejection is heavy. Or you'll need a abliterated model, not sure if vision also works. You might want to add something like yolo finetune to detect scenes + face recognition too.

For GP's purpose, can face recognition techniques be repurposed for, um, other body parts recognition? Sometimes the actresses are facing away from camera. There are exposed lips, if that helps.

Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models

#43

Does it work for porn collections too?

Not sure if you’re being sarcastic but I think this is an interesting question. Would deep seek be useful here since it is local?

just because it is local does not mean it wouldn't reject explicit content. you can definitely try and find abilated models and can attempt to use unsloth or something similar to tune it properly.

Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models

#44

Does it work for porn collections too?

Last time I tried whisper, it hallucinated an elaborate conversation from sounds of slapping and moaning and it took minutes to spit every single line of it.

If I remember correctly, the whisper documentation actually recommends to trim non-speech portions as the models halucinate heavily during those portions.

Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models

#45

if anyone is interested in searching large video collections local and offline I suggest taking a look at Jumper https://docs.getjumper.io comes with some nifty features like NLE- integrations, people search, MCP, API etc Disclaimer: one of the co-founders

The link just timed out for me. I'm in Israel, connecting via residential WiFi. All other sites that I regularly use connect just fine.

Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models

#47
Something I've enjoyed more than I expected is Google and Apple photos sending me photo memories and compilations of various things in my life and my kids lives over the last decade.

I'm really bullish on taking more video of my kids, with the thought that it will become easier and easier for AI to put them into little compilations I can enjoy later.

Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models

#48
> Then, run the frame analysis pipeline, which will divide the video into separate video scenes (1s each, or 1fps) > (…) > Frames analyzed 57,537

Aha, it makes total sense. This number sounds much more reasonable than “669 GB”, since the actual total size of processed frames would be like 10-30 GB.

(Not downplaying anything. Doing-at-home always requires some math on practicality)

> Total compute time 67h 40m 42s

I’m just curious tho — is there any paying options that can accelerate this kind of process? Just spin up GPU instances?

Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models

#49

Something I've enjoyed more than I expected is Google and Apple photos sending me photo memories and compilations of various things in my life and my kids lives over the last decade. I'm really bullish on taking more video of my kids, with the thought that it will become easier and easier for AI to put them into little compilations I can enjoy later.

That’s good to hear, open source ML models are getting better and better. I did a small experiment to generate a Spotify year in review like video here is a preview video https://github.com/IliasHad/edit-mind/tree/expirement/year-i...
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