ilastic

Summary

Source: https://github.com/ilastik/ilastik

License: GPL v2 https://github.com/abinit/abinit/blob/master/COPYING

Path: /software/ilastik

Documentation: https://www.ilastik.org/

The interactive learning and segmentation toolkit

Leverage machine learning algorithms to easily segment, classify, track and count your cells or other experimental data. Most operations are interactive, even on large datasets: you just draw the labels and immediately see the result. No machine learning expertise required.

Using ilastik

To initialize the environment (it's actually a python 3.9 virtual environment) set the PATH oder use modules:

export PATH=/software/ilastik/1.4.0/bin:$PATH
ilastik

# OR
module load maxwell ilastik
ilastik

Note: ilastik has been modfied to os.unsetenv('SESSION_MANAGER') preventing QT error messages.

ilastik will best work in FastX desktops, which also allows using ilastik as a standalone application in a web-browser or your desktop: