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Rdk X5 Ai Detect
作者
qiaolongli
· GitHub ↗
· v1.0.0
· MIT-0
245
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0
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1
当前安装
1
版本数
在 OpenClaw 中安装
/install rdk-x5-ai-detect
功能描述
在 RDK X5 的 10TOPS BPU 上运行单个 AI 推理算法:YOLO 目标检测、图像分类、语义分割、人脸识别、手势识别、人体关键点、开放词汇检测(DOSOD/YOLO-World)、双目深度估计、语音识别、端侧轻量 LLM(≤2B 参数量化模型)。Use when the user wants to...
安全使用建议
This skill appears internally consistent for running AI inference on an RDK X5 device. Before installing/using it: (1) confirm you are on the intended RDK X5 hardware with TROS/ROS2 installed; (2) avoid running the provided pip commands without verifying the packages' source (they may fetch code from the network); (3) do not embed credentials in command lines—use protected config files or environment variables and be aware such command lines can leak to process lists or shell history; (4) the web UI (port 8000) and RTSP streams expose video data—ensure network access is restricted and authenticated; (5) verify model .bin files are from trusted sources and correctly converted (hb_mapper); and (6) if you need camera setup, media encoding, or model conversion, use the skill names referenced in the doc (rdk-x5-camera, rdk-x5-media, Horizon toolchain) rather than this skill. If you want a deeper safety check, provide the origin of the hobot-* packages, the TROS setup.bash contents, or the network endpoints used by the device.
功能分析
Type: OpenClaw Skill
Name: rdk-x5-ai-detect
Version: 1.0.0
The skill bundle provides standard technical instructions and ROS2 commands for performing AI inference on the RDK X5 hardware platform. It includes legitimate setup steps such as installing hardware-specific Python libraries (hobot-dnn-rdkx5) and monitoring BPU usage via sysfs, with no evidence of malicious intent, data exfiltration, or prompt injection attacks.
能力评估
Purpose & Capability
Name/description claim running AI inference on RDK X5 BPU via the TROS framework; SKILL.md only requires ros2 and references ROS launch files, BPU sysfs, and vendor Python inference packages—these are consistent with the stated purpose.
Instruction Scope
Runtime instructions are limited to sourcing the TROS environment, launching ROS2 nodes for specific AI components, optional pip installs, reading BPU usage from /sys, and viewing a local web UI. Nothing in the instructions asks for unrelated system-wide data, but the examples include an RTSP URL with credentials (exposes secrets on the command line) and a web UI on port 8000 (network exposure).
Install Mechanism
This is instruction-only (no install spec). It suggests optional pip installs (hobot-dnn-rdkx5, hobot-vio-rdkx5). Pip pulls from package indexes and may fetch remote code—verify package provenance before installing. No downloads from arbitrary URLs or archive extraction are prescribed.
Credentials
No environment variables or external credentials are required by the skill. The only credential-like artifact is the RTSP example containing 'admin:password' which is an example only but could encourage insecure practices; otherwise no unexplained secret access is requested.
Persistence & Privilege
always is false and there is no install that modifies global agent settings or other skills. The skill does not request permanent elevated privileges or persistent presence beyond normal invocation.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install rdk-x5-ai-detect - 安装完成后,直接呼叫该 Skill 的名称或使用
/rdk-x5-ai-detect触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: BPU AI inference for YOLO, classification, segmentation, face/gesture/pose, DOSOD, depth, ASR, LLM
元数据
常见问题
Rdk X5 Ai Detect 是什么?
在 RDK X5 的 10TOPS BPU 上运行单个 AI 推理算法:YOLO 目标检测、图像分类、语义分割、人脸识别、手势识别、人体关键点、开放词汇检测(DOSOD/YOLO-World)、双目深度估计、语音识别、端侧轻量 LLM(≤2B 参数量化模型)。Use when the user wants to... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 245 次。
如何安装 Rdk X5 Ai Detect?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install rdk-x5-ai-detect」即可一键安装,无需额外配置。
Rdk X5 Ai Detect 是免费的吗?
是的,Rdk X5 Ai Detect 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Rdk X5 Ai Detect 支持哪些平台?
Rdk X5 Ai Detect 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Rdk X5 Ai Detect?
由 qiaolongli(@katherineedwards2475)开发并维护,当前版本 v1.0.0。
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