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OpenGM

OpenGM is a C++ template library for discrete factor graph models and distributive operations on these models. OpenGM handles large models with no restrictions on the factor graph model and provides state-of-the-art optimization and inference algorithms.
After the release of the first vision in 2010, we focus on making OpenGM as flexible as possible such that it can work with the large scope of different models. To be also efficient in terms of runtime some solvers are specialized for subclasses. Furthermore within version 2 we start to provide wrappers for other projects/code and change to the MIT-licence.

Download

Source Manual Documentation Licence Date
OpenGM 2.*
(development version)
github - - MIT -
 
OpenGM-learning 2.*-beta
(experimantal version)
github - - MIT -
 
OpenGM 2.3.5 zip # - MIT 02.07.2015
OpenGM 2.3.4 zip # - MIT 19.11.2014
OpenGM 2.3.3 zip # - MIT 01.10.2014
OpenGM 2.3.2 zip # - MIT 05.05.2014
OpenGM 2.3.1 zip # - MIT 04.03.2014
OpenGM 2.3.0 zip # - MIT 24.02.2014
OpenGM 2.2.1 zip # - MIT 05.12.2013
OpenGM 2.2.0 zip # - MIT 10.10.2013
OpenGM 2.1.2 zip # - MIT 18.07.2013
OpenGM 2.1.1 zip # html MIT 17.06.2013
OpenGM 2.1.0 zip # - MIT 31.05.2013
OpenGM 2.0.2 beta zip pdf html MIT 01.06.2012
OpenGM 1.0 zip - - BSD 21.09.2010

# The new manual is in preparation. Examples in the older one might not run with version 2.1.x. See unittest or example-code in source for examples.

For a list of all changes please look into the ChangeLog

References

Andres, B. and Beier T. and Kappes, J.H. :
"OpenGM: A C++ Library for Discrete Graphical Models",
ArXiv e-prints 2012 [pdf][bib]

Andres, B. and Kappes, J.H. and Köthe, U. and Schnörr, C. and Hamprecht, F.A. :
"An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM",
DAGM 2010 [pdf][bib]


Last modified: September 23 2015 10:21:23 (legal notice)