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  • Product Series

    • FPGA+ARM

      • GM-3568JHF

        • 1. Introduction

          • About GM-3568JHF
        • 2. Quick Start

          • 00 Introduction
          • 01 Environment Setup
          • 02 Compilation Instructions
          • 03 Flashing Guide
          • 04 Debug Tools
          • 05 Software Update
          • 06 View Information
          • 07 Test Commands
          • 08 App Compilation
          • 09 Source Code Acquisition
        • 3. Peripherals and Interfaces

          • 01 USB
          • 02 Display and Touch
          • 03 Ethernet
          • 04 WIFI
          • 05 Bluetooth
          • 06 TF-Card
          • 07 Audio
          • 08 Serial Port
          • 09 CAN
          • 10 RTC
        • 4. Application Development

          • 01 UART read and write case
          • 02 Key detection case
          • 03 LED light flashing case
          • 04 MIPI screen detection case
          • 05 Read USB device information example
          • 06 FAN Detection Case
          • 07 FPGA FSPI Communication Case
          • 08 FPGA DMA read and write case
          • 09 GPS debugging case
          • 10 Ethernet Test Cases
          • 11 RS485 reading and writing examples
          • 12 FPGA IIC read and write examples
          • 13 PN532 NFC card reader case
          • 14 TF card reading and writing case
        • 5. QT Development

          • 01 ARM64 cross compiler environment construction
          • 02 QT program added automatic startup service
        • 6. RKNN_NPU Development

          • 01 RK3568 NPU Overview
          • 02 Development Environment Setup
          • Run Official YOLOv5 Example
          • Model Conversion Detailed Explanation
          • Run Custom Model on Board
        • 7. FPGA Development

          • ARM and FPGA Communication
          • /fpga-arm/GM-3568JHF/FPGA/ch02-FPGA-Development-Manual.html
        • 8. Others

          • 01 Modification of the root directory file system
          • 02 System auto-start service
        • 9. Download

          • Download Resources
    • ShimetaPi

      • M4-R1

        • 1. Introduction

          • 1.1 About M4-R1
        • 2. Quick Start

          • 2.1 OpenHarmony Overview
          • 2.2 Image Burning
          • 2.3 Development Environment Preparation
          • 2.4 Hello World Application
        • 3. Application Development

          • 3.1 Getting Started

            • 3.1.1 ArkTS Language Overview
            • 3.1.2 UI Components (Part 1)
            • 3.1.3 UI Components (Part 2)
            • 3.1.4 UI Components (Part 3)
          • 3.2 Advanced

            • 3.2.1 Getting Started Guide
            • 3.2.2 Usage of Third Party Libraries
            • 3.2.3 Deployment of the Application
            • 3.2.4 Factory Reset
            • 3.2.5 System Debug
            • 3.2.6 APP Stability Testing
            • 3.2.7 Application Testing
          • 3.3 Getting Docs

            • 3.3.1 Official Website Information
          • 3.4 Development Instructions

            • 3.4.1 Full SDK
            • 3.4.2 Introduction of Third Party Libraries
            • 3.4.3 Introduction of HDC Tool
            • 3.4.4 Restore Factory Mode
            • 3.4.5 Update System API
          • 3.5 First Application

            • 3.5.1 First ArkTS App
          • 3.6 Application Demo

            • 3.6.1 UART Tool
            • 3.6.2 Graphics Tablet
            • 3.6.3 Digital Clock
            • 3.6.4 WIFI Tool
        • 4. Device Development

          • 4.1 Ubuntu Environment Development

            • 4.1.1 Environment Setup
            • 4.1.2 Download Source Code
            • 4.1.3 Compile Source Code
          • 4.2 Using DevEco Device Tool

            • 4.2.1 Tool Introduction
            • 4.2.2 Environment Construction
            • 4.2.3 Import SDK
            • 4.2.4 Function Introduction
        • 5. Peripherals and Interfaces

          • 5.1 Raspberry Pi Interfaces
          • 5.2 GPIO Interface
          • 5.3 I2C Interface
          • 5.4 SPI Communication
          • 5.5 PWM Control
          • 5.6 Serial Port Communication
          • 5.7 TF Card Slot
          • 5.8 Display Screen
          • 5.9 Touch Screen
          • 5.10 Audio
          • 5.11 RTC
          • 5.12 Ethernet
          • 5.13 M.2
          • 5.14 MINI PCIE
          • 5.15 Camera
          • 5.16 WIFI BT
          • 5.17 HAT
        • 6. FAQ

          • 6.1 Download Link
      • M5-R1

        • 1. Introduction

          • M5-R1 Development Documentation
        • 2. Quick Start

          • OpenHarmony Overview
          • Image Burning
          • Development Environment Preparation
          • Hello World Application and Deployment
        • 3. Peripherals and Interfaces

          • 3.1 Raspberry Pi Interfaces
          • 3.2 GPIO Interface
          • 3.3 I2C Interface
          • 3.4 SPI Communication
          • 3.5 PWM Control
          • 3.6 Serial Port Communication
          • 3.7 TF Card Slot
          • 3.8 Display Screen
          • 3.9 Touch Screen
          • 3.10 Audio
          • 3.11 RTC
          • 3.12 Ethernet
          • 3.13 M.2
          • 3.14 MINI PCIE
          • 3.15 Camera
          • 3.16 WIFI BT
          • 3.17 HAT
        • 4. Application Development

          • 4.1 Getting Started

            • 4.1.1 ArkTS Language Overview
            • 4.1.2 UI Components (Part 1)
            • 4.1.3 UI Components (Part 2)
            • 4.1.4 UI Components (Part 3)
          • 4.2 Advanced

            • 4.2.1 Getting Started Guide
            • 4.2.2 Usage of Third Party Libraries
            • 4.2.3 Deployment of the Application
            • 4.2.4 Factory Reset
            • 4.2.5 System Debug
            • 4.2.6 APP Stability Testing
            • 4.2.7 Application Testing
        • 5. Device Development

          • 5.1 Environment Setup
          • 5.2 Download Source Code
          • 5.3 Compile Source Code
        • 6. Download

          • Data Download
    • OpenHarmony

      • SC-3568HA

        • 1. Introduction

          • 1.1 About SC-3568HA
        • 2. Quick Start

          • 2.1 OpenHarmony Overview
          • 2.2 Image Burning
          • 2.3 Development Environment Preparation
          • 2.4 Hello World Application
        • 3. Application Development

          • 3.1 ArkUI

            • 3.1.1 ArkTS Language Overview
            • 3.1.2 UI Components (Part 1)
            • 3.1.3 UI Components (Part 2)
            • 3.1.4 UI Components (Part 3)
          • 3.2 Advanced

            • 3.2.1 Getting Started Guide
            • 3.2.2 Usage of Third Party Libraries
            • 3.2.3 Deployment of the Application
            • 3.2.4 Factory Reset
            • 3.2.5 System Debug
            • 3.2.6 APP Stability Testing
            • 3.2.7 Application Testing
        • 4. Device Development

          • 4.1 Environment Setup
          • 4.2 Download Source Code
          • 4.3 Compile Source Code
        • 5. Peripherals and Interfaces

          • 5.1 Raspberry Pi Interfaces
          • 5.2 GPIO Interface
          • 5.3 I2C Interface
          • 5.4 SPI Communication
          • 5.5 PWM Control
          • 5.6 Serial Port Communication
          • 5.7 TF Card Slot
          • 5.8 Display Screen
          • 5.9 Touch Screen
          • 5.10 Audio
          • 5.11 RTC
          • 5.12 Ethernet
          • 5.13 M.2
          • 5.14 MINI PCIE
          • 5.15 Camera
          • 5.16 WIFI BT
          • 5.17 HAT
        • 6. FAQ

          • 6.1 Download Link
      • M-K1HSE

        • 1. Introduction

          • 1.1 Product Introduction
        • 2. Quick Start

          • 2.1 Debug Tool Installation
          • 2.2 Development Environment Setup
          • 2.3 Source Code Download
          • 2.4 Build Instructions
          • 2.5 Flashing Guide
          • 2.6 APT Update Sources
          • 2.7 View Board Info
          • 2.8 CLI LED and Key Test
          • 2.9 GCC Build Programs
        • 3. Application Development

          • 3.1 Basic Application Development

            • 3.1.1 Development Environment Preparation
            • 3.1.2 First Application HelloWorld
            • 3.1.3 Develop HAR Package
          • 3.2 Peripheral Application Cases

            • 3.2.1 UART Read/Write
            • 3.2.2 Key Demo
            • 3.2.3 LED Flash
        • 4. Peripherals and Interfaces

          • 4.1 Standard Peripherals

            • 4.1.1 USB
            • 4.1.2 Display and Touch
            • 4.1.3 Ethernet
            • 4.1.4 WIFI
            • 4.1.5 Bluetooth
            • 4.1.6 TF Card
            • 4.1.7 Audio
            • 4.1.8 Serial Port
            • 4.1.9 CAN
            • 4.1.10 RTC
          • 4.2 Interfaces

            • 4.2.1 Audio
            • 4.2.2 RS485
            • 4.2.3 Display
            • 4.2.4 Touch
        • 5. System Customization Development

          • 5.1 System Porting
          • 5.2 System Customization
          • 5.3 Driver Development
          • 5.4 System Debugging
          • 5.5 OTA Upgrade
        • 6. Download

          • 6.1 Download
    • EVS-Camera

      • CF-NRS1

        • 1. Introduction

          • 1.1 About CF-NRS1
          • 1.2 Event-Based Concepts
          • 1.3 Quick Start
          • 1.4 Resources
        • 2. Development

          • 2.1 Development Overview

            • 2.1.1 Shimetapi Hybrid Camera SDK Introduction
          • 2.2 Environment & API

            • 2.2.1 Environment Overview
            • 2.2.2 Development API Overview
          • 2.3 Linux Development

            • 2.3.1 Linux SDK Introduction
            • 2.3.2 Linux SDK API
            • 2.3.3 Linux Algorithm
            • 2.3.4 Linux Algorithm API
          • 2.4 Service & Web

            • 2.4.1 EVS Server
            • 2.4.2 Time Server
            • 2.4.3 EVS Web
        • 3. Download

          • 3.1 Download
        • 4. Common Problems

          • 4.1 Common Problems
      • CF-CRA2

        • 1. Introduction

          • 1.1 About CF-CRA2
        • 2. Download

          • 2.1 Download
      • EVS Module

        • 1. Related Concepts
        • 2. Hardware Preparation and Environment Configuration
        • 3. Example Program User Guide
        • Resources Download
    • AI-model

      • 1684XB-32T

        • 1. Introduction

          • AIBOX-1684XB-32 Introduction
        • 2. Quick Start

          • First time use
          • Network Configuration
          • Disk usage
          • Memory allocation
          • Fan Strategy
          • Firmware Upgrade
          • Cross-Compilation
          • Model Quantization
        • 3. Application Development

          • 3.1 Development Introduction

            • Sophgo SDK Development
            • SOPHON-DEMO Introduction
          • 3.2 Large Language Models

            • Deploying Llama3 Example
            • /ai-model/AIBOX-1684XB-32/application-development/LLM/Sophon_LLM_api_server-Development-AIBOX-1684XB-32.html
            • /ai-model/AIBOX-1684XB-32/application-development/LLM/MiniCPM-V-2_6-AIBOX-1684XB-32.html
            • /ai-model/AIBOX-1684XB-32/application-development/LLM/Qwen-2-5-VL-demo-Development-AIBOX-1684XB-32.html
            • /ai-model/AIBOX-1684XB-32/application-development/LLM/Qwen-3-chat-demo-Development-AIBOX-1684XB-32.html
            • /ai-model/AIBOX-1684XB-32/application-development/LLM/Qwen3-Qwen Agent-MCP.html
            • /ai-model/AIBOX-1684XB-32/application-development/LLM/Qwen3-langchain-AI Agent.html
          • 3.3 Deep Learning

            • ResNet (Image Classification)
            • LPRNet (License Plate Recognition)
            • SAM (Universal Image Segmentation Foundation Model)
            • YOLOv5 (Object Detection)
            • OpenPose (Human Keypoint Detection)
            • PP-OCR (Optical Character Recognition)
        • 4. Download

          • Resource Download
      • 1684X-416T

        • 1. Introduction

          • AIBOX-1684X-416 Introduction
        • 2. Demo Simple Operation Guide

          • Simple instructions for using shimeta smart monitoring demo
      • RDK-X5

        • 1. Introduction

          • RDK-X5 Hardware Introduction
        • 2. Quick Start

          • RDK-X5 Quick Start
        • 3. Application Development

          • 3.1 AI Online Model Development

            • AI Online Development - Experiment01
            • AI Online Development - Experiment02
            • AI Online Development - Experiment03
            • AI Online Development - Experiment04
            • AI Online Development - Experiment05
            • AI Online Development - Experiment06
          • 3.2 Large Language Models (Voice)

            • Voice LLM Application - Experiment01
            • Voice LLM Application - Experiment02
            • Voice LLM Application - Experiment03
            • Voice LLM Application - Experiment04
            • Voice LLM Application - Experiment05
            • Voice LLM Application - Experiment06
          • 3.3 40pin-IO Development

            • 40pin IO Development - Experiment01
            • 40pin IO Development - Experiment02
            • 40pin IO Development - Experiment03
            • 40pin IO Development - Experiment04
            • 40pin IO Development - Experiment05
            • 40pin IO Development - Experiment06
            • 40pin IO Development - Experiment07
          • 3.4 USB Module Development

            • USB Module Usage - Experiment01
            • USB Module Usage - Experiment02
          • 3.5 Machine Vision

            • Machine Vision Technology Development - Experiment01
            • Machine Vision Technology Development - Experiment02
            • Machine Vision Technology Development - Experiment03
            • Machine Vision Technology Development - Experiment04
          • 3.6 ROS2 Base Development

            • ROS2 Basic Development - Experiment01
            • ROS2 Basic Development - Experiment02
            • ROS2 Basic Development - Experiment03
            • ROS2 Basic Development - Experiment04
      • RDK-S100

        • 1. Introduction

          • 1.1 About RDK-S100
        • 2. Quick Start

          • 2.1 First Use
        • 3. Application Development

          • 3.1 AI Online Model Development

            • 3.1.1 Volcano Engine Doubao AI
            • 3.1.2 Image Analysis
            • 3.1.3 Multimodal Visual Analysis
            • 3.1.4 Multimodal Image Comparison
            • 3.1.5 Multimodal Document Analysis
            • 3.1.6 Camera AI Vision Analysis
          • 3.2 Large Language Models

            • 3.2.1 Speech Recognition
            • 3.2.2 Voice Conversation
            • 3.2.3 Multimodal Image Analysis
            • 3.2.4 Multimodal Image Comparison
            • 3.2.5 Multimodal Document Analysis
            • 3.2.6 Multimodal Vision Application
          • 3.3 40pin-IO Development

            • 3.3.1 GPIO Output LED Blink
            • 3.3.2 GPIO Input
            • 3.3.3 Key Control LED
            • 3.3.4 PWM Output
            • 3.3.5 Serial Output
            • 3.3.6 I2C Experiment
          • 3.4 USB Module Development

            • 3.4.1 USB Voice Module
            • 3.4.2 Sound Source Localization
          • 3.5 Machine Vision

            • 3.5.1 USB Camera
            • 3.5.2 Image Processing Basics
            • 3.5.3 Object Detection
            • 3.5.4 Image Segmentation
          • 3.6 ROS2 Base Development

            • 3.6.1 Environment Setup
            • 3.6.2 Create and Build Workspace
            • 3.6.3 ROS2 Topic Communication
            • 3.6.4 ROS2 Camera Application
    • Core-Board

      • C-3568BQ

        • 1. Introduction

          • C-3568BQ Introduction
      • C-3588LQ

        • 1. Introduction

          • C-3588LQ Introduction
      • GC-3568JBAF

        • 1. Introduction

          • GC-3568JBAF Introduction
      • C-K1BA

        • 1. Introduction

          • C-K1BA Introduction

01 Environment Setup

To help developers quickly complete the development environment setup, we provide two methods: development environment setup and cross-compiler Docker image environment setup. Developers can choose one of them.

Tips

Note: We recommend developers to set up the Docker image environment to shorten the build time of the compilation environment.

1 Development Environment Setup

1.1 Prepare Development Environment

We recommend using Ubuntu 22.04 or higher versions for compilation. Other Linux versions may require corresponding adjustments to software packages. In addition to system requirements, there are other hardware and software requirements.

  • Hardware requirements: 64-bit system, at least 8GB RAM, 100GB hard disk space. If you perform multiple builds, you will need larger hard disk space.
  • Software requirements: Ubuntu 22.04 or higher version system.

1.2 Install Libraries and Tools

When using the command line for device development, you can install the libraries and tools required for compiling the SDK through the following steps. Use the following apt-get command to install the libraries and tools required for subsequent operations:

sudo apt-get update && sudo apt-get install git ssh make gcc libssl-dev \
liblz4-tool expect expect-dev g++ patchelf chrpath gawk texinfo chrpath \
diffstat binfmt-support qemu-user-static live-build bison flex fakeroot \
cmake gcc-multilib g++-multilib unzip device-tree-compiler ncurses-dev \
libgucharmap-2-90-dev bzip2 expat gpgv2 cpp-aarch64-linux-gnu libgmp-dev \
libmpc-dev bc python-is-python3 python2

Tips

Note: The installation command applies to Ubuntu 22.04. For other versions, please use the corresponding installation command according to the package name. If you encounter errors during compilation, you can install the corresponding software packages according to the error message. Among them:

  • python requires version 3.6 or above, here python 3.6 is used as an example.
  • make requires version 4.0 or above, here make 4.2 is used as an example.
  • lz4 requires version 1.7.3 or above.
  • Compiling Yocto requires a VPN network.

i Check and Upgrade Host Python Version

The method to check and upgrade the host python version is as follows:

  • Check host python version
$ python3 --version
Python 3.10.6

If the requirement of python>=3.6 is not met, you can upgrade it in the following way:

  • Upgrade to python 3.6.15 new version
PYTHON3_VER=3.6.15
echo "wget
https://www.python.org/ftp/python/${PYTHON3_VER}/Python-${PYTHON3_VER}.tgz"
echo "tar xf Python-${PYTHON3_VER}.tgz"
echo "cd Python-${PYTHON3_VER}"
echo "sudo apt-get install libsqlite3-dev"
echo "./configure --enable-optimizations"
echo "sudo make install -j8"

ii Check and Upgrade Host Make Version

The method to check and upgrade the host make version is as follows:

  • Check host make version
$ make -v
GNU Make 4.2
Built for x86_64-pc-linux-gnu
  • Upgrade to make 4.2 new version
$ sudo apt update && sudo apt install -y autoconf autopoint
git clone https://gitee.com/mirrors/make.git
cd make
git checkout 4.2
git am $BUILDROOT_DIR/package/make/*.patch
autoreconf -f -i
./configure
make make -j8
sudo install -m 0755 make /usr/bin/make

iii Check and Upgrade Host LZ4 Version

The method to check and upgrade the host lz4 version is as follows:

  • Check host lz4 version
$ lz4 -v
*** LZ4 command line interface 64-bits v1.9.3, by Yann Collet ***
  • Upgrade to lz4 new version
git clone https://gitee.com/mirrors/LZ4_old1.git
cd LZ4_old1
make
sudo make install
sudo install -m 0755 lz4 /usr/bin/lz4

2 VM Environment Setup

2.1 Download and Unzip Compressed Package

Download the compressed package from the cloud disk data and unzip it (the package is about 117G, pay attention to the disk space).

Tips

The compressed package is located in 01-Development Materials / 02-Software Tools / 07-VM-SDK Compilation Environment / 3568VM directory.

Docker_Image

2.2 Import Files in VMware

Open VMware, click "File" in the upper left corner, and click "Open" in the drop-down menu:

Docker_Image

Enter the directory where the file is stored and select the SMT_3568_VM file:

Docker_Image

2.3 SDK Auto Compilation Command

Wait for the import to complete (it takes some time, please be patient), start the ubuntu environment, enter the password "123456" to enter the virtual machine, then find the source code compressed package in the file management interface, right-click and select "Extract Here" to unzip to the current directory:

Docker_Image

The interface after unzipping is as follows:

Docker_Image

After the source code is unzipped, press "Ctrl + Alt + T" at the same time to enter the virtual machine terminal, enter the command to enter the unzipped directory, and start executing the "build.sh" script to compile the source code:

Docker_Image
# View files or directories under the directory
ls
# Enter the specified directory
cd 

# Query compilation help
sudo ./build.sh -h

# Enable multi-threading (optional)
export MAKEFLAGS="-j4"    #4: number of threads

# Specify Debian to enable automatic compilation
sudo RK_ROOTFS_SYSTEM=debian ./build.sh

Wait for the compilation to complete.

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Contributors: ZSL
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00 Introduction
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02 Compilation Instructions