Hacker News
I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models
106 points by iliashad
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18 comments
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
WarOnPrivacy
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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
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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.
Beijinger
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Does it work for porn collections too?
pduggishetti
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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.
fl0id
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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
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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?