Build Your Own AI Assistant Part 1 - Creating the Assistant
116820 Views
Is the new Raspberry Pi AI Kit better than Google Coral?
114678 Views
Control Arduino with Python using Firmata / PyFirmata
87081 Views
How to Map with LiDAR - using a Raspberry Pi Zero 2W, RPLidar and Rviz
57314 Views
Creating a Supercomputer with a Raspberry Pi 5 Cluster and Docker Swarm!
53588 Views
Node-Red Automation, MQTT, NodeMCU & MicroPython
52067 Views
LidarBot
Snaszy NAS a 3D printed NAS for Raspberry Pi
Waveshare CM5 boards
The Best Arduino Robot for Beginners
SMARS Lab upgrade with PyCharm
Chicken Nugget Piano
Mini-Rack 3D Design Tutorial
0h 20m
Using the Raspberry Pi Pico's Built-in Temperature Sensor
0h 24m
Getting Started with SQL
0h 32m
Introduction to the Linux Command Line on Raspberry Pi OS
0h 42m
How to install MicroPython
0h 8m
Wall Drawing Robot Tutorial
0h 22m
Learn Linux from the basics to advanced topics.
Learn how to use a Raspberry Pi Pico
Learn MicroPython the best language for MicroControllers
Learn Docker, the leading containerization platform. Docker is used to build, ship, and run applications in a consistent and reliable manner, making it a popular choice for DevOps and cloud-native development.
Learn how to build SMARS robots, starting with the 3D Printing the model, Designing SMARS and Programming SMARS
Learn how to build robots, starting with the basics, then move on to learning Python and MicroPython for microcontrollers, finally learn how to make things with Fusion 360.
Learn Python, the most popular programming language in the world. Python is used in many different areas, including Web Development, Data Science, Machine Learning, Robotics and more.
Learn how to create robots in 3D, using Fusion 360 and FreeCAD. The models can be printed out using a 3d printer and then assembled into a physical robot.
Learn how to create Databases in Python, with SQLite3 and Redis.
KevsRobots Learning Platform
75% Percent Complete
By Kevin McAleer, 3 Minutes
To get the ROS visualisation tool rviz2 to work in our docker container we need to redirect any graphics calls to outside our container into the hosts’s X11 environment.
rviz2
X11 is a software package developed by the Massachusetts Institute of Technology (MIT) in the 1980s that enables graphical user interfaces (GUIs) to be created and used on Unix-based systems. It works by using a network protocol called the X Window System Protocol to communicate between the server and the client. The server is responsible for managing the user interface, while the client is responsible for displaying the user interface. The X11 protocol is used to send commands from the server to the client, which are then interpreted by the client and used to generate the output.
X11
X11 is used by many popular operating systems, including Linux, Mac OS X, and Windows.
To redirect any X11 display commnds from within the docker container runnign ROS2, to outside the container (our Raspberry Pi 4 OS), we need to do two things:
xhost
export
DISPLAY
xhost local:root
environment: - display
The full docker-compose.yml file should now look like this:
version: "3.9" services: ros2: build: . network_mode: host volumes: - /home/kev/ros:/home/ros - /home/kev/cubie-1:/ros2 devices: - /dev/ttyUSB0:/dev/ttyUSB0 tty: true environment: - DISPLAY
Now that we have updated our docker-compose file we need to bring the new container online; docker-compose has a simple command for this called up:
up
docker-compose up -d
Note the -d parameter means run the container disconected. If you don’t include this, the terminal will run the container and all the container output will display on this terminal, but it will also quick should the terminal session end.
-d
< Previous Next >