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  • Product Series

    • FPGA+ARM

      • GM-3568JHF

        • Introduction

          • GM-3568JHF Introduction
        • Quick Start

          • Preface
          • Environment Setup
          • Compilation Notes
          • Flashing Guide
          • Debugging Tools
          • Software Update
          • Viewing System Information
          • Test Commands
          • Application Compilation
          • Source Code Access
        • Peripherals & Interfaces

          • USB
          • Display and Touch
          • Ethernet
          • WIFI
          • Bluetooth
          • TF-Card
          • Audio
          • Serial Port
          • CAN
          • RTC
        • Application Development

          • UART Read/Write Demo
          • Key Detection Demo
          • LED Blink Demo
          • MIPI Screen Detection Demo
          • Read USB Device Information Demo
          • FAN Detection Demo
          • FPGA FSPI Communication Demo
          • FPGA DMA Read/Write Demo
          • GPS Debugging Demo
          • Ethernet Test Demo
          • RS485 Read/Write Demo
          • FPGA I2C Read/Write Demo
          • PN532 NFC Card-Reading Demo
          • TF Card Read/Write Demo
        • QT Development

          • ARM64 Cross-Compiler Environment Setup
          • Adding a QT Program to Boot Auto-Start
        • RKNN_NPU Development

          • RK3568 NPU Overview
          • Development Environment Setup
          • Run the Official YOLOv5 Example
        • FPGA Development

          • ARM and FPGA Communication
          • FPGA Development Manual
        • Others

          • Modifying the Root Filesystem
          • System Auto-Start Services
        • Downloads

          • Downloads
      • MB-E30P

        • Introduction

          • MB-E30P Introduction
        • Quick Start

          • Preface
          • Environment Setup
          • Compilation Instructions
          • Flashing Guide
          • Debugging Tools
          • Software Update
          • Viewing Information
          • Test Commands
          • Application Compilation
          • Source Code Acquisition
        • Peripherals & Interfaces

          • USB
          • Display and Touch
          • Ethernet
          • WIFI
          • Bluetooth
          • TF-Card
          • Audio
          • RTC
        • Application Development

          • Key Detection Demo
          • LED Blink Demo
          • MIPI Screen Detection Demo
          • Read USB Device Information Demo
          • FAN Detection Demo
          • FPGA FSPI Communication Demo
          • FPGA DMA Read/Write Demo
          • Ethernet Test Demo
          • FPGA IIC Read/Write Demo
          • PN532 NFC Card Reading Demo
          • TF Card Read/Write Demo
        • QT Development

          • ARM64 Cross-Compiler Environment Setup
          • Adding a QT Program to the Boot Auto-Start Service
        • RKNN_NPU Development

          • RK3568 NPU Overview
          • Development Environment Setup
          • Run the Official YOLOv5 Example
          • Model Conversion In Detail
          • Run Custom Models on the Board
        • FPGA Development

          • ARM and FPGA Communication
          • FPGA Development Manual
        • Others

          • Modifying the Root Filesystem
          • System Auto-Start Service
        • Downloads

          • Downloads
    • ShimetaPi

      • M4-R1

        • Introduction

          • M4-R1 Introduction
        • Quick Start

          • OpenHarmony Overview
          • Image Burning
          • Application Development Quick Start
          • Device Development Quick Start
        • Application Development

          • ArkUI

            • ArkTS Language Overview
            • UI Components - Row Container Introduction
            • UI Components - Column Container Introduction
            • UI Components - Text Component
            • UI Components - Toggle Component
            • UI Components - Slider Component
            • UI Components - Animation Component & Transition Component
          • Documentation

            • OpenHarmony Official Materials
          • Development Notes

            • Full-SDK Replacement Tutorial
            • Introducing and Using Third-Party Libraries
            • HDC Debugging
            • Restore Factory Mode via Command Line
            • Upgrade App to System Permission
          • First App

            • Build Your First ArkTS Application - HelloWorld
          • Demos

            • Serial-Debug-Assistant Application Demo
            • Writing-Board Application Demo
            • Digital Clock Application Demo
            • Wi-Fi Information Acquisition Application Demo
        • Device Development

          • Ubuntu Development

            • Environment Setup
            • Download Source Code
            • Compile Source Code
          • DevEco Device Tool

            • Tool Introduction
            • Development Environment Construction
            • Import the SDK
            • HUAWEI DevEco Tool Function Introduction
        • Kernel Peripherals & Interfaces

          • Guide
          • Device Tree Introduction
          • NAPI Introduction
          • ArkTS Introduction
          • NAPI Development Hands-on Demo
          • GPIO Introduction
          • I2C Communication
          • SPI Communication
          • PWM Control
          • UART Communication
          • TF Card (MicroSD)
          • Screen (Display)
          • Touch
          • Ethernet
          • M.2 SSD
          • Audio
          • WIFI & BT
          • Camera
        • Downloads

          • Downloads
      • M5-R1

        • Introduction

          • M5-R1 Development Docs
        • Quick Start

          • Image Burning
          • Environment Setup
          • Download Source Code
        • Peripherals & Interfaces

          • Raspberry Pi Interfaces
          • GPIO Interface
          • I2C Interface
          • SPI Communication
          • PWM Control
          • Serial Port Communication
          • TF Card
          • Display
          • Touch
          • Audio
          • RTC
          • Ethernet
          • M.2
          • MINI-PCIE
          • Camera
          • WIFI & BT
        • Downloads

          • Downloads
      • Pico-G1

        • Product Overview

          • Product Introduction
          • SDK Version Information
        • Quick Start

          • Development Environment Setup
          • Image Build
          • Image Flashing
          • System Login
          • Network Configuration
          • File Transfer
          • SDK Directory Structure
          • Deploying Your First Application
          • Deploying Your First Driver
          • Mounting an SD Card
        • Peripherals & Interfaces

          • GPIO Control
          • UART Serial Communication
          • I2C Communication
          • SPI Communication
        • MPP Media Development

          • MPP Media Processing Software
          • Image Processing Chain
          • Video Input
          • Image Encoding
        • NPU & AI

          • NPU Driver and Runtime Library Architecture
          • .xmm Model Loading
          • SVP Video Processing
          • AI Noise Reduction (AI_NR)
        • Application Samples

          • Encryption/Decryption Application
          • ADC Acquisition Application
          • Low-Power Application
          • Audio Processing Application
          • Video Encoding Application
          • Video Input Application
          • Video Graphics Subsystem (VGS) Application
          • 08 Region Overlay Application
          • 09 Intelligent Video Engine Application
          • 10 UVC Webcam Application
          • 11 All-in-One Quickstart Application
          • 12 FPN Correction Application
          • 13 Regional Motion Detection Application
          • 14 MTCNN Face Detection Application
        • Expansion Board Peripheral Examples

          • 00 - Pico Expansion Board Peripheral Examples Overview
          • 01 - OLED Display Application
          • 02 - TFT Display Application
          • 03 - MPU6050 Gyroscope Application
          • 04 - ADC Acquisition Application
          • 05 - Passive Buzzer Application
          • 06 - MQ Gas Sensor Application
          • 07 - GPS Positioning Application
          • 08 - SHT20 Temperature & Humidity Application
          • 09 - Ultrasonic Ranging Application
          • 10 - SpO2 Sensor Application
          • 11 - DC Motor Control Application
          • 12 - Servo Control Application
    • OpenHarmony

      • SC-3568HA

        • Introduction

          • SC-3568HA Overview
        • Quick Start Guide

          • OpenHarmony Overview
          • Image Flashing
          • Setting Up the Development Environment
          • Hello World Application and Deployment
        • Application Development

          • ArkUI

            • Introduction to ArkTS Language
            • Introduction to UI Components and Practical Applications (Part 1)
            • Introduction to UI Components and Practical Applications (Part 2)
            • Introduction to UI Components and Practical Applications (Part 3)
          • Expand

            • Getting Started Guide
            • Referencing and Using Third-Party Libraries
            • Application Compilation and Deployment
            • Command-Line Factory Reset
            • System Debugging -- HDC Debugging
            • APP Stability Testing
            • Chapter 7 Application Testing
        • Device Development

          • Environment Setup
          • Download Source Code
          • Compiling Source Code
        • Peripheral And Interface

          • Raspberry Pi interface
          • GPIO Interface
          • I2C Interface
          • SPI communication
          • PWM (Pulse Width Modulation) control
          • Serial port communication
          • TF Card
          • Display Screen
          • Touch
          • Audio
          • RTC
          • Ethernet
          • M.2
          • MINI-PCIE
          • Camera
          • WIFI&BT
          • Raspberry Pi expansion board
        • Downloads

          • Downloads
      • M-K1HSE

        • Introduction

          • M-K1HSE Introduction
        • Quick Start

          • Development environment construction
          • Source code acquisition
          • Compilation Notes
          • Burning Guide
        • Application Development

          • Application Development Environment Setup
          • First Application - Hello World
        • Peripherals and interfaces

          • 01 Audio
          • 02 RS485
          • 03 Display
        • System customization development

          • System transplant
          • System customization
          • Driver Development
          • System Debugging
          • OTA Update
        • Downloads

          • Downloads
    • HVS Camera

      • Quick Start

        • SDK Overview
        • Downloads
        • Your First C++ Program
        • Python Data Analysis
        • MultiVision Studio
      • Development

        • Programming Guides

          • Open Camera
          • Read Events
          • Recording & Replay
          • Event Processing (Denoising)
          • Display & Visualization
          • Tuning
          • Capture APS Image
        • Toolkit SDK

          • Hybrid Vision Toolkit
          • Quick Start
          • C++ API
          • Python API
        • Algorithm

          • Hybrid Vision Algo
          • Hybrid Vision Algo API
          • Windows Algo SDK
        • Samples Overview
        • Applications
      • Fundamentals

        • Event Camera Fundamentals
        • HVS Hybrid Vision
        • Event Visualization
        • Data Formats Reference
        • Glossary
        • Bias & Tuning
        • Video Tutorials
      • USB Cameras

        • HVS Camera Quick Start
        • Networking Capabilities

          • HVS Camera System Architecture
          • EVS Network Server
          • EVS Time Sync
          • Web Window
        • HVS Camera Compatibility Matrix
        • FAQ & Troubleshooting Guide
        • Products

          • CF-NRS1 (Lingguang No.1 Hybrid Vision Camera)
      • MIPI Modules

        • MIPI Module Quick Start
        • Carrier Boards

          • RDK X5 Carrier Board Adaptation
          • Raspberry Pi Carrier Board Adaptation
          • Digua Pi Carrier Board Adaptation
          • ShimeTai Board Carrier Board Adaptation
        • MIPI Module Compatibility Matrix
        • Products

          • EVS_003 Sensor Module
    • AI-model

      • 1684XB-32T

        • Introduction

          • AIBOX-1684XB-32 Introduction
        • Quick Start

          • First Use
          • Network Configuration
          • Disk Usage
          • Memory Allocation
          • Fan Control Strategy
          • Firmware Upgrade
          • Cross Compilation
          • Model Quantization
        • Application Development

          • Development Overview

            • Sophgo SDK Development
            • Sophgo Demo Introduction
          • Large Language Models

            • Deploying Llama3 Example
            • Sophon LLM_api_server Development
            • Deploying MiniCPM-V-2_6
            • Qwen-2-5-VL Image and Video Recognition Demo
            • Qwen3-chat Demo
            • Qwen3-Qwen Agent-MCP Development
            • Qwen3-langchain-AI Agent
          • Deep Learning

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

          • Downloads
      • 1684X-416T

        • Introduction

          • AIBOX-1684X-416 Introduction
        • Demo Quick Guide

          • ShimeTai Intelligent Monitoring Demo Quick Usage Guide
      • RDK-X5

        • Introduction

          • RDK-X5 Hardware Introduction
        • Quick Start

          • RDK-X5 Quick Start
        • Application Development

          • AI Online Model Development

            • Experiment 01 - Access Volcengine Doubao AI
            • Experiment 02 - Image Analysis
            • Experiment 03 - Multimodal Visual Analysis & Localization
            • Experiment 04 - Multimodal Image-Text Comparison
            • Experiment 05 - Multimodal Document/Table Analysis
            • Experiment 06 - Camera-based AI Visual Analysis
          • Large Language Models

            • Experiment 01 - Speech Recognition
            • Experiment 02 - Voice Conversation
            • Experiment 03 - Multimodal Image Analysis - Voice
            • Experiment 04 - Multimodal Image Comparison - Voice
            • Experiment 05 - Multimodal Document Analysis - Voice
            • Experiment 06 - Multimodal Vision Application - Voice
          • ROS2 Basics

            • Experiment 01 - Environment Setup
            • Experiment 02 - Create & Build a Workspace Package
            • Experiment 03 - Run ROS2 Topic Communication Node
            • Experiment 04 - ROS2 Camera Application
          • 40-pin IO Development

            • Experiment 01 - GPIO Output (LED Blink)
            • Experiment 02 - GPIO Input
            • Experiment 03 - Button-controlled LED
            • Experiment 04 - PWM Output
            • Experiment 05 - Serial Output
            • Experiment 06 - I2C Experiment
            • Experiment 07 - SPI Experiment
          • USB Module Usage

            • Experiment 01 - USB Voice Module Usage
            • Experiment 02 - Sound Source Localization Module
          • Machine Vision Practice

            • Experiment 01 - Open USB Camera
            • Experiment 02 - Color Recognition
            • Experiment 03 - Gesture Recognition
            • Experiment 04 - YOLOv5 Object Detection
      • RDK-S100

        • Introduction

          • RDK-S100 Hardware Introduction
        • Quick Start

          • RDK-S100 Quick Start
        • Application Development

          • AI Online Model Development

            • Experiment 01 - Access Volcengine Doubao AI
            • Experiment 02 - Image Analysis
            • Experiment 03 - Multimodal Visual Analysis & Localization
            • Experiment 04 - Multimodal Image-Text Comparison
            • Experiment 05 - Multimodal Document/Table Analysis
            • Experiment 06 - Camera-based AI Visual Analysis
          • Large Language Models

            • Experiment 01 - Speech Recognition
            • Experiment 02 - Voice Conversation
            • Experiment 03 - Multimodal Image Analysis - Voice
            • Experiment 04 - Multimodal Image Comparison - Voice
            • Experiment 05 - Multimodal Document Analysis - Voice
            • Experiment 06 - Multimodal Vision Application - Voice
          • ROS2 Basics

            • Experiment 01 - Environment Setup
            • Experiment 02 - Create & Build a Workspace Package
            • Experiment 03 - Run ROS2 Topic Communication Node
            • Experiment 04 - ROS2 Camera Application
          • 40-pin IO Development

            • Experiment 01 - GPIO Output (LED Blink)
            • Experiment 02 - GPIO Input
            • Experiment 03 - Button-controlled LED
            • Experiment 04 - PWM Output
            • Experiment 05 - Serial Output
            • Experiment 06 - I2C Experiment
            • Experiment 07 - SPI Experiment
          • USB Module Usage

            • Experiment 01 - USB Voice Module Usage
            • Experiment 02 - Sound Source Localization Module
          • Machine Vision Practice

            • Experiment 01 - Open USB Camera
            • Experiment 02 - Image Processing Basics
            • Experiment 03 - Object Detection
            • Experiment 04 - Image Segmentation
      • RK1828

        • Introduction

          • M5-182X-A1 AI Edge Box - Product Introduction
          • M5-182X-A1 Hardware Specifications
          • M5-182X-A1 Usage & Safety
        • Quick Start

          • M5-182X-A1 Image Flashing
          • RK182X Hardware Installation & Verification
          • RK182X Development Environment Quick Setup
          • RK182X SDK Overview
          • RK182X Environment Setup in Detail
          • RK182X Quick Start
          • Vendor SDK Data Extraction Record
        • Development Guide

          • ClawChips Architecture and Principles
          • SKILL User Manual
          • RK182X Series LLM Inference (RK1828 Model)
          • RK182X Series CNN Inference (RK1828 Model)
          • Model Conversion
          • RK182X AI Agent Application Development Guide
          • RK182X Industrial Anomaly Detection Application
        • SDK Reference

          • RKNN3-SDK Overview

            • RKNN3 SDK Overview
          • RKNN3-Toolkit

            • RKNN3 Toolkit Installation and Usage
          • RKLLM

            • RKLLM On-Device LLM Inference
          • RK182X Series NPU Overview and Architecture (RK1828 Model)
          • RK182X INT8 Quantized Inference Deployment
          • RK182X MPP Multimedia Framework
          • MPP Details

            • RK182X Video Decoding
            • RK182X Video Encoding
          • NPU Details

            • RKNN Model Conversion
            • RK182X NPU INT8 Quantized Inference
            • RK182X Multi-Model Parallel Inference
          • RGA Details

            • RK182X RGA 2D Graphics Acceleration
          • VPU Details

            • RK182X VPU Codec
        • Hardware Reference

          • RK182X Series Hardware Architecture Overview (RK1828 Model)
          • RK182X Pin Definitions and Multiplexing Configuration
          • RK182X Pin Definitions
          • RK182X Power Management
          • RK182X Clock and PLL Configuration
          • RK182X Clock and Frequency Configuration
        • Tutorials

          • Hello World
          • Hello RK1828 - The First Program
          • RTSP Streaming
          • RTSP Streaming + AI Analysis
          • ShiMetaPi AI Lobster One-Click Deployment
          • PaddleOCR-VL Text Recognition
          • Qwen3-1.7B LLM Text Chat
          • AI Multi-View Inspection (Qwen3-VL Wrapper)
          • YOLOv5 Object Detection
        • Downloads

          • Downloads
        • FAQ

          • FAQ
    • Core-Board

      • C-3568BQ

        • Introduction

          • C-3568BQ Overview
      • C-3588LQ

        • Introduction

          • C-3588LQ Overview
      • GC-3568JBAF

        • Introduction

          • GC-3568JBAF Overview
      • C-K1BA

        • Introduction

          • C-K1BA Overview
    • Software Platform

      • ShiMetaPi Workbench

        • Introduction

          • Product Overview
          • Core Architecture
          • Feature Entries
          • Supported Hardware
          • Release Notes
        • Quick Start

          • Install & Login
          • Connect the Device
          • Set Up the Environment
          • Connect to AIHub
          • First Inference
        • User Guide

          • Workspace Overview
          • Device Manager
          • Model Market
          • One-Click Deploy
          • Vision — SVP
          • Vision - Custom Models
          • shimeta-py IDE
          • Terminal
          • Agent Debug Assistant
          • Settings and Resources
        • FAQ

          • Installation & Login
          • Device Connection
          • Models & Deployment
          • Vision & Runtime
          • Settings & Other
      • ShimetaPi Repository

        • Introduction

          • ShimetaPi Software Repository
        • Pico G1 (GK7206)

          • Quick Start

            • Installation & First Inference
            • shimeta_infer — Image Inference
            • shimeta_camera — Real-time Camera Inference
            • SVP Scene Detection
            • File Transfer & Built-in Model Reference
            • FAQ
          • HTTP API & Python SDK

            • HTTP API Reference
      • Model Fine-tuning Platform

        • Introduction

          • Model Training Platform
        • Quick Start

          • Register & Login
          • Create Your First Model (30-Minute Quick Experience)
        • Training Guide

          • Data Preparation & Annotation
          • Training Parameter Configuration
          • Start & Monitor Training
          • Model Evaluation & Testing
        • Model Deployment

          • Export Model
          • Deploy to Edge Device

Environment Setup

First, you need a PC or virtual machine with Ubuntu installed; version 20.04 is recommended. The username cannot contain Chinese characters.

We have prepared a docker environment. You only need to follow the steps below to create a complete compilation environment for compiling OpenHarmony 5.0.

The docker image creation method is as follows:

1 Install Docker

  • Reference: section 2.2 of Learn Docker installation and usage in 10 minutes - CSDN Blog

2 Use Our Pre-Built Docker Image

This document introduces two methods.Method 1: use our pre-built docker image. Method 2: build your own docker image.

Advantages: hassle-free, no network required. Disadvantages: there may be file-permission issues.

Note

docker image path:ShimetaPi OpenHarmony Materials>M4-R1>05-Development Materials>01-OpenHarmory Development Materials>openharmony5_env.tar

Download the file and copy it to any directory, then run the following command to load the docker image.

docker load -i openharmony5_env.tar
docker images  # 查看镜像是否加载成功

3 Build Your Own Docker Image

3.1 Create the Dockerfile

3.1.1 Purpose

  A dockerfile is a text file that contains a series of instructions used to build a Docker image.

3.1.2 Creation Method

(1) cd ~ (2) mkdir proj (3) cd ./proj (4) vim dockerfile (5) Paste the following text in, then type ":q" to save.

// dockerfile
FROM ubuntu:18.04

ARG TARGETPLATFORM
ARG DEBIAN_FRONTEND=noninteractive
ARG userid
ARG groupid
ARG username

ENV LANG C.UTF-8
ENV LC_ALL C.UTF-8


RUN cp -a /etc/apt/sources.list /etc/apt/sources.list.bak
RUN sed -i 's@http://.*ubuntu.com@http://repo.huaweicloud.com@g' /etc/apt/sources.list

RUN dpkg --add-architecture i386 && \
    apt-get update && \
    apt-get install -y locales && \
    localedef -i en_US -c -f UTF-8 -A /usr/share/locale/locale.alias en_US.UTF-8

ENV LANG en_US.UTF-8

RUN apt-get install --no-install-recommends --no-install-suggests --yes \
        binutils git git-lfs gnupg flex bison gperf build-essential zip \
        curl zlib1g-dev gcc-multilib g++-multilib libc6-dev-i386 lib32ncurses5-dev \
        x11proto-core-dev libx11-dev lib32z1-dev ccache libgl1-mesa-dev libxml2-utils \
        xsltproc unzip m4 bc gnutls-bin python3.8 python3-pip ruby openjdk-8-jdk \
        python3-distutils dosfstools mtools libssl-dev libelf-dev sudo vim openssh-client wget libfl-dev liblz4-tool scons  mtd-utils  u-boot-tools default-jdk cpio genext2fs gcc-arm-none-eabi && \
    apt-get clean && \
    rm -rf /var/lib/apt/* /var/cache/apt/* /tmp/* /var/tmp/*

RUN pip3 install setuptools kconfiglib -i https://pypi.tuna.tsinghua.edu.cn/simple

RUN pip3 install scons ecdsa pycryptodome -i https://pypi.tuna.tsinghua.edu.cn/simple
RUN pip3 install --upgrade --ignore-installed six
RUN rm -f /usr/bin/python
RUN ln -s /usr/bin/python3.8 python

RUN groupadd -g $groupid $username \
 && useradd -m -u $userid -g $groupid $username \
 && echo "$username:123456" | chpasswd \
 && echo $username >/root/username


RUN sed -i -e '/\%sudo/ c \%sudo ALL=(ALL) NOPASSWD: ALL' /etc/sudoers
RUN usermod -a -G sudo $username

RUN echo "root:123456" | chpasswd


ENV HOME=/home/$username
ENV USER=$username

WORKDIR $HOME

ENV HOME=/home/$username
ENV USER=$username
ENV WORKFOLDER=/home/$username/proj
ENV GCC_COLORS='error=01;31:warning=01;35:note=01;36:caret=01;32:locus=01:quote=01'
ENV PATH='/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home'

RUN mkdir -p $WORKFOLDER


ENTRYPOINT chroot --userspec=$(cat /root/username):$(cat /root/username) / /bin/bash -c "cd $WORKFOLDER && exec /bin/bash -i"

Dockerfile Detailed Description

For those who want to learn Docker, read the following text:

  In line 14, the apt command source is changed to Huawei Cloud to alleviate the slow download from the original image source.   In line 23, this mainly installs some dependency packages needed for compilation. You can modify this later to add the packages you want.   In line 39, a group is created using the passed-in groupid; it is recommended not to modify it.   In line 40, a user is created using the passed-in userid; it is recommended not to modify it.   In line 41, the user password is modified to 123456. You can modify the user's default password here to your own commonly-used password.   Through the above configuration, when we enter the container, the container's default user, its groupid, userid, and user password are determined by the above code.   In line 48, the root password is explicitly set to 123456. You can modify the root password here to your own commonly-used password.

3.2 Create build-container

3.2.1 Purpose

  This script is used to: create the required image from the dockerfile in 2.1.

3.2.2 Creation Method

(1) cd ~/proj (2) vim build-container (3) Paste the following text in, then type ":q" to save.

#!/bin/bash

USER_ID=1000
GROUP_ID=1000
USERNAME=shimeta


docker build --build-arg userid=$USER_ID  --build-arg groupid=$GROUP_ID  --build-arg username=$USERNAME --tag sc3568ha2:latest .

Tips

  Lines 3, 4, and 5 pass the custom user's group ID, user ID, and user name to the dockerfile. In the dockerfile created in 2.1, a new user will be created based on these three passed-in parameters.   The " . " at the end of line 8 is used to specify the location of the dockerfile we created in the previous step. Since we place the dockerfile, build-container, and entrycontainer files all in the same path, we use " . " here to indicate that the dockerfile is in the current directory.   The "sc3568ha2:latest" in line 8 specifies the name and version number of the created docker image. You can modify it yourself; the format is "image_name:version".

(4) chmod +x ./build-container

3.3 Create the Image

# 先将当前用户加入docker组
sudo usermod -aG docker $USER
# 应用变更
newgrp docker
# 运行以下命令测试是否无需 sudo 即可使用 Docker:
docker images
bash ./build-container

3.3.1 Problem 1

Image creation fails with the following related text — consider that a network problem caused the docker image pull to fail. Error response from daemon: Get "https://registry-1.docker.io/v2/": context deadline exceeded (Client.Timeout exceeded while awaiting headers)

This can be resolved by configuring the image source. Reference solution:

# 编辑daemon.json
vim /etc/docker/daemon.json

# 将下述第5至36行的文本粘贴到daemon.json
{
  "registry-mirrors" : ["https://docker.registry.cyou",
"https://docker-cf.registry.cyou",
"https://dockercf.jsdelivr.fyi",
"https://docker.jsdelivr.fyi",
"https://dockertest.jsdelivr.fyi",
"https://mirror.aliyuncs.com",
"https://dockerproxy.com",
"https://mirror.baidubce.com",
"https://docker.m.daocloud.io",
"https://docker.nju.edu.cn",
"https://docker.mirrors.sjtug.sjtu.edu.cn",
"https://docker.mirrors.ustc.edu.cn",
"https://mirror.iscas.ac.cn",
"https://docker.rainbond.cc",
"https://do.nark.eu.org",
"https://dc.j8.work",
"https://dockerproxy.com",
"https://gst6rzl9.mirror.aliyuncs.com",
"https://registry.docker-cn.com",
"http://hub-mirror.c.163.com",
"http://mirrors.ustc.edu.cn/",
"https://mirrors.tuna.tsinghua.edu.cn/",
"http://mirrors.sohu.com/"
],
 "insecure-registries" : [
    "registry.docker-cn.com",
    "docker.mirrors.ustc.edu.cn"
    ],
"debug": true,
"experimental": false
}


# 重新加载daemon.json文件,使修改生效
sudo systemctl daemon-reload
# 重新启动docker服务
sudo systemctl restart docker
# 查看是否配置成功
docker info

4 Enter the Container

4.1 entrycontainer

4.1.1 Purpose

  This script is used to: create a container from the image in 1 or the image generated in 2, and enter that container.

4.1.2 Creation Method

(1) cd ~/proj (2) vim entrycontainer (3) Paste the following text in, then type ":q" to save.

#!/bin/bash

set -e

HOME_DIR="/home/shimeta/proj"
BUILD_DIR="/home/xxx/proj"


docker run --privileged  --volume ${BUILD_DIR}:${HOME_DIR}:rw --volume /tmp:/tmp \
  --workdir=${HOME_DIR} \
  --env TERM=xterm-256color --env SHELL=/bin/bash \
  --rm --init --tty --interactive \
  --hostname docker_OP \
  sc3568ha2:latest

Tips

  One convenience of using docker is that you can map a host folder into the container. After entering the container, it is as if we are using a new computer while still being able to access specific host folders. With this feature, later, before entering the container, we first place the project files under the path specified by BUILD_DIR; then, after entering the container, we go to the HOME_DIR path and we can see our project files at HOME_DIR inside the container.   The "--volume ${BUILD_DIR}:${HOME_DIR}:rw" in line 9 is the statement that implements this mapping. It maps the host folder BUILD_DIR to the container's HOME_DIR path. After we enter the container, we can access all the files under the host folder BUILD_DIR from the HOME_DIR path.   The path in line 6 is usually also "/home/xxx/proj", consistent with the in-container path, to avoid confusion. Here, xxx is the name of the user you use, and needs to be modified manually.

4.2 Execute the Following Commands

cd ~/proj
chmod +x ./entrycontainer
bash ./entrycontainer

5 Operations After Entering the Container

After entering the container, you also need to execute the following commands:

# 1、配置默认命令行解释器为bash
ls -l /bin/sh                   #如果显示为“/bin/sh -> bash”则为正常,否则请以以下方式修改:
sudo dpkg-reconfigure dash      #然后选择no
# 2、配置git邮箱,防止编译代码时报错
git config --global user.name "你的用户名"
git config --global user.email "你的邮箱@example.com"
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