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

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.

“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.

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

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.

Asking the important questions

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

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.

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?

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

Thank you

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

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

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