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dsh-video-understand

DeepSeek Harness Tools & Capabilities Low risk

Low-cost video understanding tool: a video_understand tool turns a Bilibili link / BV / local video into an AVIS info layer (ASR + scene structure + object tracks + YOLO labels) and returns summary + Q&A. Question-driven dynamic routing across layers (L0 ASR / L1 object tracks / L2 key-frame VLM), semantic-layer reuse for repeat questions, per-question budget cap. Self-contained engine, no external dependencies.

低成本视频理解工具:video_understand 把 B站链接/BV号/本地视频转成 AVIS 信息层(ASR+场景结构+对象轨迹+YOLO 标签)并输出摘要+问答。问题驱动动态路由分层(L0 ASR / L1 对象轨迹 / L2 关键帧 VLM)、语义层复用(重复提问直接查层)、单次问题预算上限。引擎自包含,无外部依赖。

How to install

DeepSeek Harness dsh plugin add dsh-video-understand

About

dsh-video-understand 低成本视频理解插件:给 dsh agent 注册 video_understand 工具——B站链接 / BV 号 / 本地视频 → AVIS 信息层(ASR 转写 + 场景结构 + 运动对象轨迹 + YOLO 语义)→ 摘要+问答。采用 Python 引擎:核心层需 faster-whisper / opencv / yt-dlp(约 200-300MB),可选语义层另需约 2GB 的 torch / transformers / ultralytics,内置 doctor --fix 一键建 venv 并装齐两者。 安装 bash npm 安装 npm install dsh-video-understand 或 dsh plugin add dsh-video-understand **装完即用**:首次调用 video_understand 时自动创建插件本地隔离环境(.venv)并安装核心依赖(优先 uv,回退 venv+pip 清华镜像)——无需手动执行任何命令,不污染系统 Python。 **引擎已内含**,无需额外克隆外部仓库。 环境自检 bash npx dsh-video-understand doctor # 逐项检测 + 给出修复命令 npx dsh-video-understand doctor --fix # 一…

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Meta

License
MIT
Language
Python
GitHub stars
0
mo. downloads
Last push
2026-08-24
Created
2026-08-16

Links

GitHub ↗ npm ↗ Report issue ↗

Basic safety check

Findings
None
Sources
curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
Topics
avis, bilibili, deepseek-harness, dsh, dsh-plugin, low-cost, plugin, video-understand, video-understanding

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