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

news.ycombinator.com

121–129 of 129 posts

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

#121

Would it be possible to upload them all to YouTube as unlisted and then point Gemini to them? Not sure the limitations wrt unlisted videos. Maybe also could’ve been done with the @google photos operator if uploaded to Google Photos if not a corporate google workspace Gemini instance

I'm not sure if it's possible or not, the goal of my project was to utilize local models and your local machine instead of uploading your videos to the cloud. there's couple of cloud services that offer video indexing very well, I could name a few like Tweleve Labs (I'm not affiliated with them but I did a presentation at one of their webinar).

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

#122
I've been screenshotting twitter since 2016 when Brexit happened and with the goal of one day putting together some kind of art piece.

The world and our discourse around it has changed so much over the past ten years and now with this kind of technology I'm so excited to be able to classify these images from my iCloud and start on the project.

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

#124

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 think the Apple stuff is done 100% on device.

Google loves scanning stuff on in the cloud though.

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

#125
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Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models

#126
post #28

Funny this is almost EXACTLY what I did a few days ago on the same machine using very similar techniques and was on the front-page of HN as well: https://news.ycombinator.com/item?id=48222733 https://blog.simbastack.com/indexed-a-year-of-video-locally/ I wasn't familiar with your project though, interesting stuff. I'm trying to add more photography related features to Framedex but yeah there's so much we can do local…

That's great, I checked your article when it was in front page because someone mentioned my project in the comments. Good job for the article and the project. That's great, yes local models are getting better and better

Apparently M1 Max video indexing is the new sourdough starter

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

#127

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?

Jumper is significantly more accurate
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