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RDK X5 MagicBox📖
1.RDK MagicBox
  • 1. RDK MagicBox Official Materials
  • 2. Troubleshooting boot failure
  • 3. Linux memory query
2.RDK MagicBox Introduction
  • 1. Introduction to RDK MagicBox
  • 2. Write System File
  • 3. Hardware Interface Description
3.RDK MagicBox User Guide
1. Quick Start
  • Quick Start
2. Basic Peripheral Usage
  • Basic Peripheral Usage
3. Algorithm Development
  • 1. Stereo Depth Estimation
  • 2. Gesture Interaction
  • 3. Voice Interaction
4.RDK MagicBox Basic Settings
  • 1.Network configuration
  • 2.Remote login
  • 3.Update system
  • 4.srpi-config user guide
  • 5.config. txt configuration file
  • 6.Self-startup setting
  • 7.RDK exclusive command usage
  • 8.Linux command usage
  • 9.GPIO readwrite operation
  • 10.Image classification algorithm
  • 11.Use USB camera
  • 12.MIPI Camera Usage
5.RDKX5 Magicbox Basic Development Course
For C language
  • 1. Camera Image Acquisition and Display
  • 2. Camera Image Local Saving
  • 3. Camera Image Acquisition and Encoding
  • 4. Video File Decoding and Display
  • 5. RTSP Stream Decoding
  • 6. VPS Scaling Example
  • 7. Target Detection Algorithm — focs
  • 8. Target Detection Algorithm — YOLOv5s
  • 9. Using CAN
For Python language
  • 1. Prerequisites Before Using Pin Functions
  • 2. Using GPIO
  • 3. Using PWM
  • 4. Use serial port
  • 5. Using I2C
  • 6. Using SPI
For Linux Development
  • Linux Development Guide
6.Online AI Model Course
Online AI Model Course(Text Interaction)
  • 0. Preparation before use
  • 1. OpenRouter Large Model API Aggregation Platform
  • 2. Multimodal Visual Understanding Application
  • 3. Multimodal Visual Positioning Application
  • 4. Multimodal Table Scanning Application
  • 5. Multimodal Autonomous Agent Application
Online AI Model Course(Voice Interaction)
  • 1. Online Speech‑to‑Text (ASR)
  • 2. Online Text‑to‑Speech (TTS)
  • 3. AI Large Model Voice Interaction
  • 4. Multimodal Visual Voice Interaction
  • 5. Multimodal Visual Positioning Application
  • 6. Multimodal Table Scanning Application
  • 7. Multimodal Autonomous Agent Application
  • 8. AI Large Model Online Voice Assistant
7.OpenClaw Embodied AI Development
  • 1. Introduction to OpenClaw
  • 2. OpenClaw Deployment
  • 3. OpenClaw Whatsapp Plugin Application
  • 4. OpenClaw WebChat Interaction
  • 5. OpenClaw TUI Interaction
  • 6. OpenClaw Tool Introduction
  • 7. OpenClawGate Gateway User Manual
  • 8. OpenClaw Plugin Feature Introduction
  • 9. OpenClaw ClawHub Introduction (skill installation)
  • 10. OpenClaw Application - File Management
  • 11. OpenClaw Application - Camera
  • 12. OpenClaw Application - Browser Control
  • 13. OpenClaw Application - Script Execution
  • 14. OpenClaw Application - AI‑programmed Status Light Control
  • 15. OpenClaw Application - AI‑programmed Servo Control
  • 16. OpenClaw Application - Dedicated AI Assistant
8.ROS2 Basic Tutorial
  • 1.Introduction to ROS2
  • 2.ROS2 install Humble
  • 3.ROS2 development environment
  • 4.ROS2 workspace
  • 5.ROS2 function package
  • 6.ROS2 node
  • 7.ROS2 topic communication
  • 8.ROS2 service communication
  • 9.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 rqt toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
Download
  • Code
  • Software_tools
  • SystemFile
Download ZIP

Welcome to RDK X5 MagicBox repository

12.MIPI Camera Usage

Using the MIPI Camera

Using the MIPI Camera1. Feature Overview2. How to Run3. Expected Results

1. Feature Overview

The RDK MagicBox Sweet Potato Stereo Camera comes with a complete set of calibration parameters, including stereo calibration parameters, IMU intrinsic parameters, and the extrinsic parameters between the stereo cameras and the IMU. Users can start using it immediately without the need for additional calibration. Using these parameters, high-precision depth maps can be calculated via stereo matching algorithms, enabling real-time 3D environmental perception. Additionally, the camera data can be used with open-source Visual-Inertial Odometry (VIO) algorithms, such as OpenVINS, to calculate camera pose and trajectory information. Suitable for applications such as robot navigation and obstacle avoidance, it provides developers with plug-and-play depth perception and visual-inertial fusion capabilities.

2. How to Run

Update the system environment

x
source /opt/tros/humble/setup.bash
Or:
source ~/.bashrc

Run the MIPI example

xxxxxxxxxx
ros2 launch mipi_cam mipi_cam_dual_channel.launch.py \
mipi_channel:=2 mipi_channel2:=0 \
mipi_lpwm_enable:=True mipi_frame_ts_type:=realtime \
mipi_image_width:=816 mipi_image_height:=960 \
mipi_image_framerate:=10.0 mipi_gdc_enable:=True \
mipi_out_format:=bgr8 \
log_level:=info
  • mipi_channel:=2 mipi_channel2:=0 Adjusts the stitching order of the left and right eyes
  • mipi_lpwm_enable:=True Enable LPWM hardware synchronization
  • mipi_frame_ts_type:=realtime Use system time for timestamps
  • mipi_image_width:=816 mipi_image_height:=960 Adjust image resolution; maximum setting is 1088×1280
  • mipi_image_framerate:=10.0 Adjust the camera frame rate; can be set up to 30.0
  • mipi_gdc_enable:=True Enable GDC correction to output corrected stereo images; otherwise, distorted images will be output
  • mipi_out_format:=nv12 Sets the image format; supports nv12/bgr8
  • log_level:=info Log level; the “info” level prints calibration parameters. If you do not need to display that much information, set it to “warn”

You can modify the parameters inside according to your needs. If startup fails, you can simply run the startup command again.

3. Expected Results

image-20260403101616882

image-20260403101848313

Use USB camera
Camera Image Acquisition and Display

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