We prepared a Docker image with everything needed for this course. The instructions on how to use it can be found here. We provide a Python script to make things easier for you, so you basically only need to install Docker and run the script on our GitLab.

• Create some folder (let's call it SOMEPATH) for the course
• cd SOMEPATH
• git clone https://gitlab.fel.cvut.cz/body-schema/teaching/b3m33hro-labs.git (git clone git@gitlab.fel.cvut.cz:body-schema/teaching/b3m33hro-labs.git if you have SSH key at FEL GitLab)
• git clone https://github.com/rustlluk/pyCub.git
• cd SOMEPATH/b3m33hro-labs/Docker
• ./deploy.py -c hro -p ABSOLUTE_PATH_TO_SOMEPATH -pu
  • use -b instead of -pu to build the image locally
  • use -vnc at the end of the command for VNC version

The provided Docker image can work in two modes: native and VNC.

• Native version if suitable only for GNU/Linux systems (the main reason is the difference between docker-engine and docker-desktop).
  • using this version will make all applications usable on your system natively as if you would install them. If you have Linux, then this is a way to go for you
  • Install docker-engine
• On Windows and Mac, there is no docker-engine and system variables include work differently. So, you need to use VNC version of the image. You can enable it by using -vnc switch when using Python deployment script, or by calling vnc command in the Docker enviroment. After that, you need to run start-vnc-session.sh and open http://localhost:6080 in your browser.