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USB Industrial Grade AI Vision Camera📖
01.Basic course
  • 1.Camera parameters
  • 2.Camera detect
  • 3.Camera preview screen
02.Docker
  • 1.Docker overview and docker installation
  • 2.Common commands for docker image containers
  • 3.Docker images deeply understand and publish images
  • 4.Docker hardware interaction and data processing
  • 5.Enter the bot's docker container
  • 6.Robot development environment construction in Docker
  • 7.How customers can update docker images in the future
03.ROS vision course
  • 0.Camera preview screen
  • 1.QR code
  • 2.Human pose estimation
  • 3.Target Detection
  • 4.AR vision
  • 5.ROS+Opencv basics
  • 6.Face recognition
  • 7.harris corner detection
  • 8.Target tracking algorithm
  • 9.Contour moment
  • 10.Polygon outline
  • 11.Discrete fourier transform algorithm
  • 12.Edge detection algorithm
  • 13.Face detection algorithm
  • 14.Optical flow detection algorithm
  • 15.Contour detection
  • 16.General contour detection
  • 17.Feature point tracking
  • 18.HLS color filtering
  • 19.Hough circle detection
  • 20.Hough linear detection
  • 21.HSV color filtering
  • 22.LK optical flow algorithm
  • 23.Detection algorithm
  • 24.Phase dependent displacement detection
  • 25.Image pyramid sampling algorithm
  • 26.RGB color filtering
  • 27.Clear background detection algorithm
  • 28.Simplified optical flow algorithm
  • 29.Simple filter
  • 30.Threshold image processing
  • 31.Watershed segmentation algorithm
04.Mediapipe course
  • 1.Hand detection
  • 2.Attitude detection
  • 3.Overall inspection
  • 4.Face detection
  • 5.Face recognition
  • 6.Face effects
  • 7.3D object recognition
  • 8.Brush
  • 9.Finger control
  • 10.Gesture recognition
05.Robot Vision course
  • Tracking color line
06.Camera preview and frame rate test
  • Camera preview and frame rate test
Download
  • Docker Image
  • PC_Software
Download ZIP

Welcome to USB Industrial Grade AI Vision Camera repository

7.How customers can update docker images in the future

7、How customers can update docker images in the future

7、How customers can update docker images in the future7.1、Method 17.2、Method 27.3、Method 3

Currently, ROS2's courses are all placed in docker containers, and customers can experience learning to use containerized development methods.

In the future, new functional modules will continue to be added to docker, and these new functional modules will be put into the new docker image, and users need to experience these new functions, and there are three ways to update the docker image:

7.1、Method 1

When a new docker image is updated, an img image with a host will be released, and the new docker image has been downloaded from the host, and customers can directly use this img to experience it.

7.2、Method 2

When updating a new docker image, you can manually update the image without flashing the image:

Use commands on the host:

x
docker pulls the latest image version number
For example:
docker pull yahboomtechnology/ros-foxy:3.5.3 # The latest image version number here is modified according to the actual view

This new image version number Please check the directory of this section: [Latest docker image version number and tar fileLatest docker image version number .txt], open [Latest docker image version number .txt], how to see the version number is higher than the current host, indicating that there is an update, you can update the image.

image-20230516192556921

The [latest docker image version number and tar file] here is updated in real time, and it may be greater than version 3.5.3 when you see it, according to what you actually see. This method requires downloading the docker image from the Internet, which takes a long time and may time out and the download will not come down, if this happens, use the other two methods.

After the pull execution is complete, execute:

xxxxxxxxxx
docker images

You can view the downloaded images to experience the new features

7.3、Method 3

When updating a new docker image, you can manually update the image without flashing the image:

The new docker image will provide a [xxx.tar] file, which stores the new docker image, which is placed in this section directory [latest docker image version number and tar file], if the version number of the file is higher than the current host, it means that there is an update, and the image can be updated. Download the file to the host.

image-20230516192658479

The tar file here is updated in real time, and it may have been greater than version 3.5.3 when you see it, according to what you actually see. Use the command in the directory where the [xxx.tar] file of the host is located:

xxxxxxxxxx
docker load -i xxx.tar

The operation takes some time, but it rarely fails.

After the docker load execution is complete, execute:

xxxxxxxxxx
docker images

You can view the updated image and experience the new features.

Robot development environment construction in Docker
Camera preview screen

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