Installing Docker for AI Instance Segmentation

Arivis Pro 4.2 introduced the possibility of performing instance segmentation using Deep Learning. This DL segmentation tool relies on various layers of dependent libraries. Rather than force configurations that could cause conflict with other software users might also have on their system, arivis uses Docker technology to embed all the necessary dependencies for these DL models into a Docker container. A Docker container has all the information required to execute the segmentation sandboxed in such a way as to be independent of the system configuration and without risking conflicts with other software installations. To use Docker Containers, Docker Desktop must be installed on the system. 

The use of Docker, like most software packages, is limited bythe terms of the licensing system it uses. Various licensing options are available, at various price points, depending on the type and size of institution that uses the technology. To install Docker, it is therefore important to know what type of license your institution has access to, and since large organizations may have existing licenses it is recommended that you consult with your IT team to check what type of license may be required and/or available.

Just so you know, Docker licensing is fully independent of your arivis license and as a user, you are responsible for your usage of the Docker license.

After starting Docker Desktop you may be prompted to update the WSL Kernel version:

In such a case, a Windows update is required. First, close the Docker Desktop prompt above to ensure the correct installation of the update (otherwise Docker Desktop is still running in the background).