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Developer indexes 669 GB of GoPro cycling footage locally using M1 Max and open-source ML models

By

iliashad

20d ago· 1 min readen

Summary

A developer describes building a local project to index 2,207 GoPro videos (669 GB, 15+ hours of footage) from a cycling journey using an M1 Max computer and open-source machine learning models. The system allows searching for interesting moments and sending clips directly to a DaVinci Resolve timeline for video editing. The author indexed 628 videos (668.68 GB) as detailed in the article's metrics section.

Source

Hacker NewsDeveloper indexes 669 GB of GoPro cycling footage locally using M1 Max and open-source ML modelsnews.ycombinator.com

Key quotes

· 3 pulled
I had 2,207 GoPro videos, and I need to rewatch them to find interesting moments from my cycling journey.
I built a project to index them locally on my M1 Max using open-source ML models, search for those moments, and send the best clips straight to my DaVinci Resolve timeline.
I indexed 628 videos (668.68 GB, 15h 13m 18s of footage duration), more details in the metrics table in the last section of this article.
Snippet from the RSS feed
TLDR: I had 2,207 GoPro videos, and I need to rewatch them to find interesting moments from my cycling journey. I built a project to index them locally on my M1 Max using open-source ML models, search for those moments, and send the best clips straight to

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