I indexed 669 GB of my GoPro videos using my M1 Max computer and local ML models
摘要
作者为了从大量骑行视频中快速寻找素材，开发了一套本地索引工具。该系统在 M1 Max 上利用开源 ML 模型处理了约 15 小时的视频数据（668.68 GB），支持通过搜索定位特定瞬间，并能将选中的剪辑直接发送至 DaVinci Resolve 时间轴。
荐读理由
用 M1 Max + 本地 ML 模型（Whisper 转录 + 帧分析 + 向量 DB）处理 628 个 GoPro 视频，搜索指定时刻直接导出片段到 DaVinci Resolve 剪辑。
原文
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 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
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