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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

#91

Post by GreenSalem »

Yiin wrote: post #73
GreenSalem wrote: post #72

A lawyer I know who specialises in rape, and is excellent at getting the obviously guilty exonerated, lost a case last year because of GoPro videos. Her client was recording while committing the abhorrent crime. The criminal would otherwise have got off. From my perspective, the GoPro camera produced a good outcome. Still, one has wonder why anyone to record their criminal actions.

word "her" in this context gave me heavy feelings, what makes one to pick such a career move...

Beggars cant be choosers.

She would rather have done corporate law but did not have the academic credentials or the networks needed for a job at the likes of Latham Watkins or White and Case.

Still it is good for society that criminals get the worst lawyers to defend them.

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

#92

Post by Schiendelman »

robrain wrote: post #35
teovall wrote: post #31

Earlier quoted context omitted.

The AI features in DaVinci Resolve are all processed locally. It does not currently have face tagging.

Haven’t tried it yet, and I don’t know if it matches OP’s requirements, but the blurb says “You can even search for individual faces” https://www.blackmagicdesign.com/products/davinciresolve/wha...

This is what took me from free to paid user, and it was well worth it.

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

#93

Post by dotancohen »

tontonius wrote: post #87
dotancohen wrote: post #45

Earlier quoted context omitted.

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.

hmm weird works for me.. what about https://getjumper.io/ ?

They're both working now.

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

#94

Post by marci »

satvikpendem wrote: post #69
goodmythical wrote: post #64

Earlier quoted context omitted.

You don't mind Google using your kids to train their models and advertising algorithms? Years from now they'll be getting "hey look at BIKE BRANDS' NEWEST CHEAP BIKE REMEMBER WHEN YOU USED TO RIDE BIKE BRAND BIKES"

I think most people really don't care, and/or will just adblock those sorts of things when they do arrive.

Don't worry. Most people spend most of their compute time on a phone, where you're ability to filter ads is way more enshitified.

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

#96

Post by ____tom____ »

tontonius wrote: post #38

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

Your docs say you integrate with Davinci resolve.

Other comments mention davinci resolve has this built in. How would you compare the two?

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

#97

Post by nitin_flanker »

insumanth wrote: post #90

I will be doing these things with local LLMs Take a fast, small and powerful LLM running locally to index my personal data like images, videos, documents and enrich them and tag with the enriched metadata. Want to group by people - Search tagged metadata and group it What to search an image by description - tagged metadata What to organize by anything - tagged metadata This should (hopefully) put an end to my file cl…

I am in no way a tech savy person, don't know coding, don't know networking or AI much either. But I definitely want to have a system like this. An AI powered gallery / video repository that can help me find moments, people, colors, objects from 100s of 1000s of files.

Local LLMs sound so cool but I know they won't be easy to setup or use for common joe like me.

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

#98

Post by mwelpa »

justinram11 wrote: post #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.

I wish I could connect Apple photos to my Spotify account and have photo memories connected with songs I listened to at the time :)

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

#99

Post by Mashimo »

nitin_flanker wrote: post #97
insumanth wrote: post #90

I will be doing these things with local LLMs Take a fast, small and powerful LLM running locally to index my personal data like images, videos, documents and enrich them and tag with the enriched metadata. Want to group by people - Search tagged metadata and group it What to search an image by description - tagged metadata What to organize by anything - tagged metadata This should (hopefully) put an end to my file cl…

I am in no way a tech savy person, don't know coding, don't know networking or AI much either. But I definitely want to have a system like this. An AI powered gallery / video repository that can help me find moments, people, colors, objects from 100s of 1000s of files. Local LLMs sound so cool but I know they won't be easy to setup or use for common joe like me.

Immich can do part of this. For photos it does lm object detection and ocr for text. I think for video is currently only the first frame. It also has face / people detection.

And once set up it's easy to use even for non technical people.

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

#100

Post by egorfine »

esjeon wrote: post #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…

Yep. Go to vast.ai, spin up a cheap GPU instance, add a bit of code to the project and let it run it finish in just a few hours for like ten bucks.

But it's not as fun as running local model right here on your computer on your own desk. It feels like magic.

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