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dsh-video-lens

v0.3.1 · 0 天前发布

Give text-only DeepSeek Harness agents video understanding: scene-aware frame sampling + VLM + optional ASR transcript fused into timeline evidence. / 给纯文本模型的视频理解插件(场景感知抽帧 + VLM + 可选语音转录)

dshdeepseek-harnessdsh-pluginvideomultimodalasrffmpeg

README

dsh-video-lens

Video understanding for DeepSeek Harness — give text-only agents eyes and ears on video.

A DeepSeek Harness (DSH) plugin that lets text-only LLM agents understand local video files. It provides two tools:

| Tool | What it does |
|---|---|
| video_probe | Cheap, instant metadata via ffprobe: container, duration, resolution, fps, codecs, audio tracks, subtitles. |
| video_analyze | Content understanding: scene-change-aware frame sampling (ffmpeg scdet), optional ASR transcript (speech with timestamps), fused with any OpenAI-compatible vision model into structured evidence JSON. |
| video_ask | Time-anchored Q&A: parses explicit time references ("at 3:20", "第2分钟") or locates relevant speech via tr

查看完整 README →

版本兼容矩阵

DSH 版本状态说明
dsh@0.1.0-rc.6 ✅ 兼容 cordis patch ✅
dsh@0.1.0 ✅ 兼容 标准 patch ✅
dsh@0.2.0 ⚠️ 待验证 待实测(API 可能在变)
dsh@0.3.0+ ❓ 未知 尚未发布

💡 兼容矩阵每周末自动跑实测,欢迎 PR 修正

元数据

License
MIT
npm
dsh-video-lens
Repo
git+https://github.com/dundunhan/dsh-video-lens.git
Engines
{"node":">=20"}
Weekly DL
0
Monthly DL
0
dsh.bundle
{"bundle":{"patch":"./cordis.patch.yml"}}