I indexed 37h of my YouTube library using an RTX 4090 and local ML models in 24h

5 points - yesterday at 8:30 PM

TLDR: I indexed 37 hours and 38 minutes of my videos using the self-hosted Docker version of my project on a rented RTX 4090

- Total compute time: 24 hours 13 minutes

- Frame analysis took ~85% of the time

- Heaviest plugins: TextDetection (especially on coding/screen recordings) and FaceRecognition (on podcasts)

Full article here: https://iliashaddad.com/blog/i-indexed-37h-of-my-youtube-library-using-an-rtx-4090-and-local-ml-models-in-24h

iliashad yesterday at 8:34 PM

and the project is fully open source here: https://github.com/iliashad/edit-mind

toomuchtodo yesterday at 8:40 PM

Does this support an S3 compatible target? If not, would you be interested in adding support for that?

videotextly today at 7:06 AM

[flagged]