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

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iiliashad about 4 hours ago 24 comments

DE version is available. Content is displayed in original English for accuracy.

TLDR: I had 2,207 GoPro videos, and I need to rewatch them to find interesting moments from my cycling journey. I built a project to index them locally on my M1 Max using open-source ML models, search for those moments, and send the best clips straight to my DaVinci Resolve timeline. I indexed 628 videos (668.68 GB, 15h 13m 18s of footage duration), more details in the metrics table in the last section of this article.

Full article: https://iliashaddad.com/blog/i-indexed-669-gb-of-my-gopro-videos-using-my-m1-max-computer

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Discussion (24 Comments)Read Original on HackerNews

robrain•25 minutes ago

DaVinci 21 has indexing built-in (AI IntelliSearch). Not to diminish the work you did, but this is now available to many users (probably only Studio users since it has AI in the name)

iliashad•22 minutes ago

Yes, I didn’t look at it. But does it upload your videos to the cloud or process them locally? And does it allow to provide custom faces data to help labeling faces in your videos ?

I think Adobe premiere pro have it as well but cloud processed

teovall•6 minutes ago

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

iliashad•6 minutes ago

That’s great to know, thank you!

WarOnPrivacy•about 1 hour ago

I was surprised to learn that the

    M1 Max CPU is an ARM/SoC, comparable to an 11th gen Intel i9

Do I have it right? Would Windows ARM performance be similar for those cpu?

ref: https://www.cpubenchmark.net/compare/4585vs4245/Apple-M1-Max...

pachouli-please•40 minutes ago

It's also a bit apples (heh) to oranges for a handful of reasons, but most impactful

- "unified" ram makes all the system ram available as VRAM - dedicated ai coaccelerator thingy

Both of these reasons allow the apple silicon chips to crush conventional cpus in these kind of AI model workload stuffs

No idea about what the windows arm stuff is capable of. I know they use Qualcomm snapdragon chips though.

owldown•27 minutes ago

“Comparable” is maybe true if we are talking about single core performance, but for memory bandwidth, the M1 Max is about 8 times faster. Wider bus, lower latency, not even close.

iliashad•24 minutes ago

To your question, I can’t deny or confirm that because I didn’t tried it this project over a Windows machine yet or a machine with this config

Beijinger•about 3 hours ago

Does it work for porn collections too?

pduggishetti•about 3 hours ago

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.

vorticalbox•35 minutes ago

Vision still works perfectly fine in abliterated models.

iliashad•28 minutes ago

Why it’s always the same question? Hahah. I posted my project over Reddit and I got the same one hahah

sarjann•about 3 hours ago

Asking the important questions

fhdkweig•about 1 hour ago

The internet is for porn. https://www.youtube.com/watch?v=LTJvdGcb7Fs

lifestyleguru•about 2 hours ago

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.

3eb7988a1663•about 1 hour ago

Parakeet has been trained to detect non-voice sounds and exclude that from identification, so you might have better luck with that family.

supertroop•about 2 hours ago

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?

fl0id•about 1 hour ago

it is possible to use apple gpu with containers. either with podman + runkit + recent mesa or with recent vllm-metal from docker https://www.docker.com/blog/docker-model-runner-vllm-metal-m...

iliashad•16 minutes ago

I was looking for a solution for this issue of running docker containers over MPS and utilizing their GPU power. I think this project will be the solution for it, I’ll try it very soon and add support for it. Thank you, much appreciated

lgats•about 3 hours ago

the link https://iliashaddad.com/blog/i-indexed-669-gb-of-my-gopro-vi...

iliashad•about 2 hours ago

Thank you

iliashad•about 1 hour ago

I would love your feedback and suggestions for new improvements or features you wanna have, either in the source available version, the desktop app or blog post itself?

rho138•about 3 hours ago

This would fit most best as a “Show HN:” post :)

culi•about 2 hours ago

The title should link to the "full article". I wonder if OP's domain name is banned or something and they're doing this to get around it

iliashad•about 2 hours ago

I tried to edit it and add Show HN, but it doesn't show the edited version. Thank you!

m3kw9•42 minutes ago

Grab frames, lower res, classify, combine meta data. Write to sql

iliashad•10 minutes ago

Not really. Grab frames, lower res, classify, combine metadata, transcribe the audio, convert those data (text, visual and audio) to embedding, save them over a vector DB and SQL DB. Which helped me to do semantic search, RAG, search using a screenshot of the video to find the exact the moment in the video plus search using an audio file as well. And other features unlocked with vector DB