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RDK X3 Board📖
1. RDK X3 Board Introduction
  • 1.1 About RDK X3 board
  • 1.2 Write system
  • 1.3 SD expansion
  • 1.4 Hardware interface
  • 1.5 Install case antenna
2. Basic setting
  • 2.1 Network Configuration
  • 2.2 Remote Login
  • 2.3 System Update
  • 2.4 Configure srpi-config
  • 2.5 confit.txt file
  • 2.6 Thermal control-CPU frequency
  • 2.7 Auto-start at boot
  • 2.8 RDK-specific commands usage
  • 2.9 Linux command usage
  • 2.10 GPIO read write
  • 2.11 Image classification algorithm
  • 2.12 USB camera usage
  • 2.13 MIPI camera uasge
3. Basic course
C language
  • 1. Camera image display
  • 2. Save camera image
  • 3. Camera image encoding
  • 4. Video decoding display
  • 5. VPS scaling example
  • 6. Object detection algorithm-fcos
  • 7. Object detection algorithm—YOLOv5
Python
  • 1. Using GPIO
  • 2. Using PWM
  • 3. Using serial port
  • 4. Using I2C
  • 5. Using SPI
Download
  • Image_system
  • Code
  • Software_Tools
Download ZIP

Welcome to RDK X3 Board repository

2.13 MIPI camera uasge

MIPI camera uasge

MIPI camera uasge1.Preparation2. Running method3. Result

The mipi_camera.py program is installed on the development board to test the data path of the MIPI camera.

This example will collect image data from the MIPI camera in real time, then run the target detection algorithm, and finally fuse the image data and the detection results and output them through the HDMI interface.

1.Preparation

  • Connect the power supply

  • Connect the MIPI camera module to the MIPI CSI interface of the development board, with the blue side facing up

    注意

  • Connect the development board and the monitor via HDMI cable

    接线

2. Running method

First enable the camera using the following command

xxxxxxxxxx
sunrise@ubuntu:~$ cd /app/cdev_demo/bpu && sudo ./go.sh

The following i2c address appears to indicate successful enablement image-20260127112325060

Run program

xxxxxxxxxx
sunrise@ubuntu:~$ cd /app/pydev_demo/03_mipi_camera_sample/
sunrise@ubuntu:/app/pydev_demo/03_mipi_camera_sample$ sudo python3 ./mipi_camera.py 

3. Result

After the program is executed, the monitor will display the camera image and the results of the target detection algorithm (target type, confidence level) in real time, as shown below.

image-20220503221020331

USB camera usage
Camera image display

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