{"slug": "i-indexed-669-gb-of-my-gopro-videos-using-my-m1-max-computer-and-local-ml-models", "title": "I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models", "summary": "A developer indexed 669 GB of GoPro footage from a cycling journey using local machine learning models on an M1 Max computer, enabling search and direct timeline integration with DaVinci Resolve. The project processed 628 videos totaling over 15 hours of content.", "body_md": "| ||||||||||||\n8 points by |\nTLDR: 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. Full article: https://iliashaddad.com/blog/i-indexed-669-gb-of-my-gopro-videos-using-my-m1-max-computer | |||||||||||\n|", "url": "https://wpnews.pro/news/i-indexed-669-gb-of-my-gopro-videos-using-my-m1-max-computer-and-local-ml-models", "canonical_source": "https://news.ycombinator.com/item?id=48528029", "published_at": "2026-06-14 15:13:57+00:00", "updated_at": "2026-06-14 15:43:11.409333+00:00", "lang": "en", "topics": ["machine-learning", "computer-vision", "ai-tools"], "entities": ["GoPro", "M1 Max", "DaVinci Resolve"], "alternates": {"html": "https://wpnews.pro/news/i-indexed-669-gb-of-my-gopro-videos-using-my-m1-max-computer-and-local-ml-models", "markdown": "https://wpnews.pro/news/i-indexed-669-gb-of-my-gopro-videos-using-my-m1-max-computer-and-local-ml-models.md", "text": "https://wpnews.pro/news/i-indexed-669-gb-of-my-gopro-videos-using-my-m1-max-computer-and-local-ml-models.txt", "jsonld": "https://wpnews.pro/news/i-indexed-669-gb-of-my-gopro-videos-using-my-m1-max-computer-and-local-ml-models.jsonld"}}