I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models
71–80 of 129 posts
Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models
#72Her client was recording while committing the abhorrent crime. The criminal would otherwise have got off.
From my perspective, the GoPro camera produced a good outcome. Still, one has wonder why anyone to record their criminal actions.
Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models
#73A lawyer I know who specialises in rape, and is excellent at getting the obviously guilty exonerated, lost a case last year because of GoPro videos. Her client was recording while committing the abhorrent crime. The criminal would otherwise have got off. From my perspective, the GoPro camera produced a good outcome. Still, one has wonder why anyone to record their criminal actions.
Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models
#74> Many of the videos I captured amazing moments, and sometimes it's kind of hard to watch the full videos to get those moments. Yep. I had the same problem. > Then, run the frame analysis pipeline [...] I have a face recognition plugin using my custom faces data, object detection, on-screen text, shot type, and scene description [...] we will have three vector DB collections that have all the information about our vi…
Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models
#75I 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...
No comparison. M1 Max has 400GB/s RAM bandwidth while Snapdragon X2 Elite, the latest and greatest , has 228GB/s RAM bandwidth.
Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models
#76> Then, run the frame analysis pipeline, which will divide the video into separate video scenes (1s each, or 1fps) > (…) > Frames analyzed 57,537 Aha, it makes total sense. This number sounds much more reasonable than “669 GB”, since the actual total size of processed frames would be like 10-30 GB. (Not downplaying anything. Doing-at-home always requires some math on practicality) > Total compute time 67h 40m 42s I’m…
> Aha, it makes total sense. This number sounds much more reasonable than “669 GB”, since the actual total size of processed frames would be like 10-30 GB. The reason why is “669 GB” is the total raw footage size when I'm doing the video processing, I downscaled each frame to 720p to make the video processing much faster and I don't need full original quality in order to get accurate results (as far as I know and exp…
Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models
#77Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models
#78Earlier quoted context omitted.
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?
just because it is local does not mean it wouldn't reject explicit content. you can definitely try and find abilated models and can attempt to use unsloth or something similar to tune it properly.
Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models
#79Something 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.
do you use android and ios, or is there another benefit to having personal media with both?
Re: I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models
#80> Many of the videos I captured amazing moments, and sometimes it's kind of hard to watch the full videos to get those moments. Yep. I had the same problem. > Then, run the frame analysis pipeline [...] I have a face recognition plugin using my custom faces data, object detection, on-screen text, shot type, and scene description [...] we will have three vector DB collections that have all the information about our vi…
What tool has this "press power to mark chapter" feature?