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rdkx5-app-resourcesrdkx5 应用程序资源

Agent Skill

rdkx5-app-resources 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

7,715

周安装

328

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公开资料未说明

下载量

2,703
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:rdkx5-app-resources(rdkx5 应用程序资源)
来源仓库:https://github.com/zh1fen/rdkx5-app-resources
安装命令:
openclaw skills install rdkx5-app-resources
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install rdkx5-app-resources

简介

访问 RDK X5 /app 文件夹资源,包括 GPIO、多媒体、AI 示例。当用户想要在 RDK X5 上运行嵌入式演示或控制硬件时调用。

SKILL.md

name
rdkx5-app-resources
description
Access to RDK X5 /app folder resources including GPIO, multimedia, AI samples. Invoke when user wants to run embedded demos or control hardware on RDK X5.

RDK X5 App Resources Skill

This skill provides access to embedded hardware resources in /app folder on D-Robotics RDK X5 boards, including GPIO control, I2C/SPI communication, video capture, media processing, and AI inference.

⚠️ Important: Use System Python (NOT conda)

Most of these resources require system Python, NOT conda environment!

The D-Robotics board has hobot_dnn and other libraries installed in system Python (/usr/bin/python3.10), but NOT in conda environments.

Always use system Python to run these scripts:

# ✅ Correct - use system Python
/usr/bin/python3.10 /app/pydev_demo/01_basic_sample/test_resnet18.py

# ❌ Wrong - conda environment does NOT have hobot_dnn
python /app/pydev_demo/01_basic_sample/test_resnet18.py  # will fail!

If you accidentally use conda Python, you'll get errors like:

ModuleNotFoundError: No module named 'hobot_dnn'

Available Resources

1. 40pin GPIO Samples (/app/40pin_samples/)

Python-based GPIO control using Hobot.GPIO library:

FileDescription
simple_out.pyBasic GPIO output (LED control)
simple_input.pyBasic GPIO input (read pin state)
simple_pwm.pyPWM output (e.g., motor speed control)
button_event.pyButton event handling
button_interrupt.pyButton interrupt handling
button_led.pyButton controlling LED
test_i2c.pyI2C communication test
test_spi.pySPI communication test
test_serial.pySerial/UART communication test
test_all_pins.pyAll pins test

2. Character Device Demos (/app/cdev_demo/)

C-based device driver examples:

DirectoryDescription
v4l2/V4L2 video capture
vio_capture/Video input capture
vio2display/Video to display output
vio2encoder/Video encoding
rtsp2display/RTSP stream to display
vps/Video Processing System
bpu/BPU (Brain Processing Unit) demos
decode2display/Decode to display

3. Multimedia Samples (/app/multimedia_samples/)

C/C++ multimedia processing examples:

DirectoryDescription
sample_codec/Audio/Video encoding & decoding
sample_dsp/DSP processing
sample_gdc/Geometric Distortion Correction
sample_gpu_2d/2D GPU operations
sample_hbmem/High Bandwidth Memory
sample_isp/Image Signal Processor (camera tuning)
sample_osd/On-Screen Display
sample_pipeline/Media pipeline processing
sample_usb/USB camera support
sample_vin/Video Input
sample_vot/Video Output
sample_vse/Video Sync Engine
sunrise_camera/Sunrise camera modules
vp_sensors/Vision platform sensors
chip_base_test/Chip baseline tests
utils/Utility tools

4. Python AI Samples (/app/pydev_demo/)

Python-based AI model inference examples:

DirectoryDescription
01_basic_sample/Basic usage
02_usb_camera_sample/USB camera inference
03_mipi_camera_sample/MIPI camera inference
04_segment_sample/Image segmentation
05_web_display_camera_sample/Web display camera
06_yolov3_sample/YOLOv3 object detection
07_yolov5_sample/YOLOv5 object detection
08_decode_rtsp_stream/RTSP stream decoding
09_yolov5x_sample/YOLOv5x object detection
10_ssd_mobilenetv1_sample/SSD MobileNetV1 detection
11_centernet_sample/CenterNet object detection
12_yolov5s_v6_v7_sample/YOLOv5s v6/v7 variants

Model files are linked from /app/model/basic (or /opt/hobot/model/x5/basic).

5. ISP Tuning Tool (/app/tuning_tool/)

Image Signal Processor tuning tools:

FileDescription
isp_tuningISP tuning executable
run_tuning.shTuning launch script
tuning_cfg/Tuning configuration files

Quick Reference

Running Python Samples - ALWAYS use system Python!

# ✅ CORRECT - Use system Python (/usr/bin/python3.10)
# These have hobot_dnn and other D-Robotics libraries

/usr/bin/python3.10 /app/40pin_samples/simple_out.py
/usr/bin/python3.10 /app/40pin_samples/button_led.py
/usr/bin/python3.10 /app/40pin_samples/test_i2c.py
/usr/bin/python3.10 /app/40pin_samples/test_spi.py
/usr/bin/python3.10 /app/40pin_samples/test_serial.py

/usr/bin/python3.10 /app/pydev_demo/01_basic_sample/test_resnet18.py
/usr/bin/python3.10 /app/pydev_demo/07_yolov5_sample/main.py
/usr/bin/python3.10 /app/pydev_demo/08_decode_rtsp_stream/main.py

Building C/C++ Demos

# Build multimedia samples
cd /app/multimedia_samples/
make

# Build character device demos
cd /app/cdev_demo/v4l2/
make

Running ISP Tuning

cd /app/tuning_tool/
./run_tuning.sh

GPIO Pin Reference

  • Pin 37 - BOARD编码模式下的 GPIO37 (对应 WPI 25)
  • Uses Hobot.GPIO library (D-Robotics GPIO wrapper)
  • Modes: GPIO.BOARD, GPIO.BCM, GPIO.WPI

Important Notes

  1. ⚠️ ALWAYS use system Python - /usr/bin/python3.10, NOT conda
  2. Hardware Access: Most operations require root privileges or proper hardware permissions
  3. Pin Numbers: Use BOARD encoding (physical pin numbers) or BCM encoding (Broadcom)
  4. Library: Uses Hobot.GPIO which is D-Robotics' GPIO wrapper
  5. Cleanup: Always call GPIO.cleanup() when done
  6. Models: Pre-trained models are in /app/model/basic/
  7. Scope: This skill covers /app folder resources only. For system commands and other RDK X5 features, refer to official documentation.

Use Cases

  • Control LEDs, motors, relays via GPIO
  • Read button/switch states
  • Communicate with I2C sensors (temperature, IMU, etc.)
  • Interface with SPI devices
  • Capture video from camera modules (USB, MIPI)
  • Video encoding/decoding
  • RTSP video streaming
  • Run AI inference (YOLO, SSD, CenterNet, segmentation)
  • ISP camera tuning
  • Video pipeline processing

Note: This skill focuses on /app folder sample resources. It is not a complete RDK X5 operation guide.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

85.39%
按下载量换算2,308

安全审计

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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