rerun 是做什么的?
使用 rerun.experimental.Mp4Reader 将 .mp4 视频数据摄入到 Rerun 数据块流中。阅读以下内容,了解如何将视频转换为 VideoStream、选择流模式或资源模式、通过 FFmpeg 进行转码(B 帧、输出编解码器、GOP 大小),以及将视频 PTS 对齐到录制的墙钟时间轴上。该技能基于 rerun-chunk-processing(流机制)和 rerun-data-model(视频在录制中的数据归属)构建。
使用 rerun.experimental.Mp4Reader 将 .mp4 视频数据摄入到 Rerun 数据块流中。
该技能专注于将 .mp4 视频文件高效地集成到 Rerun 可视化平台的数据流中。通过提供 `rerun.experimental.Mp4Reader` 这一核心接口,开发者可以灵活地将视频转换为 `VideoStream`,并选择流模式或资源模式,以满足不同的性能与存储需求。技能详细说明了如何通过 FFmpeg 进行视频转码,包括 B 帧处理、输出编解码器选择以及 GOP 大小设置等关键参数,同时支持将视频的 PTS(呈现时间戳)对齐到录制的墙钟时间轴上。该技能底层依赖 `rerun-chunk-processing` 处理流机制,并利用 `rerun-data-model` 定义视频在录制中的数据归属,为 Rerun 的多模态数据记录提供了完整的视频支持。
npx skills add https://github.com/rerun-io/rerun/tree/main/skills/rerun-mp4使用 rerun.experimental.Mp4Reader 将 .mp4 视频数据摄入到 Rerun 数据块流中。阅读以下内容,了解如何将视频转换为 VideoStream、选择流模式或资源模式、通过 FFmpeg 进行转码(B 帧、输出编解码器、GOP 大小),以及将视频 PTS 对齐到录制的墙钟时间轴上。该技能基于 rerun-chunk-processing(流机制)和 rerun-data-model(视频在录制中的数据归属)构建。
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See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
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