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T-mini Plus LiDAR📖
01.Linux basic course
  • 1.Introduction to Linux system
  • 2.Ubuntu file system
  • 3.Ubuntu common commands
  • 4.Ubuntu common editors
  • 5.Ubuntu software operation commands
  • 6.Virtual machine installation
  • 7.SSH remote control
  • 8.VNC remote control
  • 9.Transfer files remotely
  • 10.Driver library and communication
  • 11.Static IP and hotspot mode
  • 12.Bind device ID
  • 13.Capacity expansion and resource allocation
  • 14.Update system software sources
  • 15.Set root user password
  • 16.sudo free password
  • 17.Connect to WiFi network
  • 18.View system version
  • 19.Customized service management
  • 20.Back up system image
02.ROS1 basic course
  • 1.ROS introduction
  • 2.ROS installation
  • 3.ROS common command tools
  • 4.ROS workspace
  • 5.ROS function package
  • 6.ROS node
  • 7.ROS topic publisher
  • 8.ROS topic subscribers
  • 9.ROS service client
  • 10.ROS service server
  • 11.ROS action client
  • 12.ROS action server
  • 13.ROS custom message reception
  • 14.ROS-launch file
  • 15.ROS-TF transformation
  • 16.ROS parameter service
  • 17.ROS-rviz use
  • 18.ROS-rqt tool usage
  • 19.Topic message recording and playback
  • 20.urdf model introduction
  • 21.gazebo introduction
  • 22.ROS distributed communication
03.ROS1 lidar course
  • 0.Instructions before use
  • 1.Preparation
  • 2.Handheld lidar mapping
  • 3.Lidar avoiding
  • 4.Lidar guard
  • 5.Lidar follow
  • 6.Lidar mapping
  • 7.rrt_exploration mapping algorithm
  • 8.Navigation
  • 9.APP Mapping and Navigation
  • 10.RTAB 3D mapping and navigation
04.ROS2 basic course
  • 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
05.ROS2 lidar course
  • 0.ReadMe
  • 1.Preparation
  • 2.Handheld lidar mapping
  • 3.Lidar avoiding
  • 4.Lidar follow
  • 5.Lidar guard
  • 6.Lidar patrol
  • 7.gmapping mapping
  • 8.cartographer mapping
  • 9.Navigation and avoiding
  • 10.APP Mapping and Navigation
  • 11.RTAB 3D mapping and navigation
06.Raspberry Pi5 course
2.ROS1 lidar course
  • 0.Instructions before use
  • 1.Preparation
  • 2.Handheld lidar mapping
  • 3.Lidar avoiding
  • 4.Lidar guard
  • 5.Lidar follow
  • 6.Lidar mapping
  • 7.rrt_exploration mapping algorithm
  • 8.Navigation
  • 9.APP Mapping and Navigation
  • 10.RTAB 3D mapping and navigation
3.ROS2 lidar course
  • 0.ReadMe
  • 1.Preparation
  • 2.Handheld lidar mapping
  • 3.Lidar avoiding
  • 4.Lidar follow
  • 5.Lidar guard
  • 6.Lidar patrol
  • 7.gmapping mapping
  • 8.cartographer mapping
  • 9.Navigation and avoiding
  • 10.APP Mapping and Navigation
  • 11.RTAB 3D mapping and navigation
1.Docker course
  • 1. Overview and installation
  • 2. Common commands
  • 3. Docker images deeply understand and publish images
  • 4. Docker hardware interaction and data processing
  • 5. Enter the robot's docker container
Download
  • Code
  • VM_File
  • RPi5_SystemFile
  • Data Sheet
  • 3D_Model_File
  • PC_Software
  • ROS2_Basic_VM
Download ZIP

Welcome to T-mini Plus LiDAR repository

3. Docker images deeply understand and publish images

3、Docker images deeply understand and publish images

 

3、Docker images deeply understand and publish images3.1、image understanding3.2、UnionFS(Federated file systems)3.3、image layering3.3.1、hierarchical understanding3.3.2、Docker images should use layering benefits3.4、Make and publish images3.4.1、Make an image3.4.2、Release image

3.1、image understanding

1、An image is a lightweight, executable stand-alone software package that contains everything needed to run a piece of software. We package applications and configurations into a ready, deliverable, deployable runtime environment, including code, libraries, environment variables and configuration files required for runtime, and this large package runtime environment is the image image file.

2、Docker container instances can only be generated through image files.

 

3.2、UnionFS(Federated file systems)

1.Union file system (UnionFS) is a hierarchical, lightweight, high-performance file system, it is the basis of docker images, and supports the modification of the file system as a commit to overlay layer by layer, while different directories can be mounted under the same virtual file system.

2.The image can be inherited through layering, and based on the basic image, various specific application images can be made.

Features of the Union file system: load multiple file systems at the same time, but from the outside, only one file system can be seen; Federated loading overlays the layers of file systems so that the final file system contains files and directories for all layers.

 

3.3、image layering

When downloading an image, pay attention to the downloaded log output, you can see that it is downloading layer by layer:

image-20230424154810939

To view the image layering, you can use the command: docker image inspect image name, taking the supporting virtual machine as an example, enter in the terminal

docker image inspect microros/micro-ros-agent:humble

image-20231222150913012

3.3.1、hierarchical understanding

  • All docker images start from a base image layer, and when modifications or additions are made, a new image layer will be created on top of the current image layer.

  • For a simple example, if a new image is created based on Ubuntu 20.04, this is the first layer of the new image; If you add a Python package to the image, a second image layer is created on top of the base image layer; If you continue to add a security patch, a third mirror layer is created.

  • Docker images are all read-only, and when the container starts, a new writable layer is loaded on top of the image! This layer is what we usually call the container layer, and what is under the container is called the image layer!

 

3.3.2、Docker images should use layering benefits

Resource sharing, for example, if there are multiple images built from the same base image, then the host only needs to keep a base image on disk, and only one base image needs to be loaded in memory, so that all containers can be served, and each layer of the image can be shared.

 

3.4、Make and publish images

3.4.1、Make an image

To submit an image from a container, the command used is docker commit -m="submission description information" -a="author" container id target image name to be created: [label name] [-m -a can also be omitted Parameters], taking the supporting virtual machine as an example, input in the terminal.

xxxxxxxxxx
docker commit 7a2861823744 ubuntu:test

image-20231222151416648

You can use docker images to check whether it is generated. Enter the following command in the terminal.

xxxxxxxxxx
docker images

image-20231222151648776

3.4.2、Release image

The docker repository is a centralized place for storing image files. The largest public repository is docker hub (https://hub.docker.com/), which stores a large number of images for users to download. Domestic public warehouses include Alibaba Cloud, NetEase Cloud, etc.

Steps to publish the image to docker hub: 1、Address: https://hub.docker.com/, register an account first 2、Ensure that the account can be logged in normally

3、Use the tag command to modify the image name

The specifications for publishing images to docker hub are as follows:

x
docker push Register username/image name

4、Log in to docker hub to publish the image.

x
docker login -u Register username

You will then be prompted to enter a password. The password is the account password registered with docker hub. After the password is correct, enter the following command to publish the image.

x
docker push Register username/image name

You can visit docker hub to see that it has been published successfully.

 

Common commands
Docker hardware interaction and data processing

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