2. The "description.md" example has things like "faces -> cluster_id". Is this from Davinci Resolve's face index? Things like faces+names and locations are really important with photo collections, but general LLMs don't handle them so well.
> The skill is open at ~/.claude/skills/video-index/. If you're working on something similar (indexing personal archives, getting a local model to do real archival work, building agents that drive editing tools), I'd be glad to compare notes.
When your Claude wrote this post they might not have selected the right URL to share, unless your home folder is exposed. Care to share the skill files?
PS - I just put this together in the last few mins, removed my personal files and references. So it's not tested properly, please let me know if any issues.
It's still an early hack, but I have thousands of still images as well from my camera which I've not processed and I need to do the same analysis for those.
So I'll continue working on it, but happy to receive any PRs if anyone finds any use for it.
I'm tired of having a backlog of thousands of images and videos, leaving it for later.
Thanks for the article! I have a beefy M5 Pro and I'm eagerly looking around for ways to use local models (specifically Gemma4 & Qwen3.6).
This is an excellent thing to do. Especially that LLMs excel at batching thus you can index multiple photos and videos in parallel for no performance penalty.
Unsloth Studio [0] is what I recommend these days, open source alternative to the more widely known LM Studio, and also built by the people who make good quantizations of released models. With MTP support not merged in you should get 2x token generation speed with no accuracy difference. They also have MLX quants if you scroll down a bit, which is a format specifically for macOS' Metal GPU acceleration but that's not integrated into Unsloth Studio just yet.
I have been contemplating a M5 Pro MBP, but for the life for me I wasn't able to find benchmarks for real-world models, do you happen to know how many tokens per second roughly you get with MoE models like Qwen 3.6 35B/A3B or Gemma 4 26B?
I'm not normally one to share videos as answers, but this particular fellow does a LOT of work with local AIs and Macs and happens to have a nuanced answer. https://youtu.be/XGe7ldwFLSE
Haha. It's honestly something that I've been struggling with myself. I'm running this safari lodge but I don't want to go down that route of slop videos!
But on the other hand, genuine videos do take time and slows down the process.
I was vaguely aware of all these pieces existing (except for running a facial recognition database at home o_o), but it's really neat to put them all together like that.
I also have a 64GB M1 Max and am similarly impressed with what that workhorse can do. The M5 tempted me -- a lot -- but then I looked at what I was already getting done on that machine and just couldn't justify it ... yet. Someday, surely, but not yet. Gemma4 gave all my local projects new life, just like what you did here.
Two questions:
1. What is the search index?
2. The "description.md" example has things like "faces -> cluster_id". Is this from Davinci Resolve's face index? Things like faces+names and locations are really important with photo collections, but general LLMs don't handle them so well.
> The skill is open at ~/.claude/skills/video-index/. If you're working on something similar (indexing personal archives, getting a local model to do real archival work, building agents that drive editing tools), I'd be glad to compare notes.
When your Claude wrote this post they might not have selected the right URL to share, unless your home folder is exposed. Care to share the skill files?
Oops! My bad. Fixing it now. And yeah, I can share the Skill file. Give me 5 mins.
Ok I scrambled to finalize a name for it and create a new repo for it - https://github.com/Simbastack-hq/framedex
PS - I just put this together in the last few mins, removed my personal files and references. So it's not tested properly, please let me know if any issues.
It's still an early hack, but I have thousands of still images as well from my camera which I've not processed and I need to do the same analysis for those.
So I'll continue working on it, but happy to receive any PRs if anyone finds any use for it.
I'm tired of having a backlog of thousands of images and videos, leaving it for later.
I ran Gemma on a 2015 thinkpad to do something similar. Fortunately, I could upgrade the memory otherwise it would have been a painful exercise.
Not gonna lie, llama.cpp had the fans spinning at max speed. But it worked and I got the job done.
Thanks for the article! I have a beefy M5 Pro and I'm eagerly looking around for ways to use local models (specifically Gemma4 & Qwen3.6).
This is an excellent thing to do. Especially that LLMs excel at batching thus you can index multiple photos and videos in parallel for no performance penalty.
Unsloth Studio [0] is what I recommend these days, open source alternative to the more widely known LM Studio, and also built by the people who make good quantizations of released models. With MTP support not merged in you should get 2x token generation speed with no accuracy difference. They also have MLX quants if you scroll down a bit, which is a format specifically for macOS' Metal GPU acceleration but that's not integrated into Unsloth Studio just yet.
[0] https://unsloth.ai/docs/models/qwen3.6#mtp-guide
I have been contemplating a M5 Pro MBP, but for the life for me I wasn't able to find benchmarks for real-world models, do you happen to know how many tokens per second roughly you get with MoE models like Qwen 3.6 35B/A3B or Gemma 4 26B?
I'm not normally one to share videos as answers, but this particular fellow does a LOT of work with local AIs and Macs and happens to have a nuanced answer. https://youtu.be/XGe7ldwFLSE
> generative AI video has no place on a real travel brand
I am pretty sure that the vast majority of Airbnb hosts would not agree with you.
> equals TripAdvisor crucifixion
I have no idea how the Airbnb hosts with fake listings survive, really.
Haha. It's honestly something that I've been struggling with myself. I'm running this safari lodge but I don't want to go down that route of slop videos!
But on the other hand, genuine videos do take time and slows down the process.
Awesome. Say, this is very comprehensive.
I was vaguely aware of all these pieces existing (except for running a facial recognition database at home o_o), but it's really neat to put them all together like that.
Thanks! I was honestly casually trying it out on the side with Claude's help. And I was actually pleasantly surprised to see how good the result was.
Still blows my mind I can do all this from my 2021 MBP.
I'll try to do a post once I have the next steps working (helping with planning and editing videos with Davinci Resolve).
I also have a 64GB M1 Max and am similarly impressed with what that workhorse can do. The M5 tempted me -- a lot -- but then I looked at what I was already getting done on that machine and just couldn't justify it ... yet. Someday, surely, but not yet. Gemma4 gave all my local projects new life, just like what you did here.
Great job. Long live the M1 Max!