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Introduction
======================
`OpenGM `_ is a C++ template library for discrete factor graph models and distributive operations on these models.
OpenGM Python exports the functionality of the C++ library OpenGM to Python.
It includes state-of-the-art optimization and inference algorithms beyond message passing.
OpenGM handles large models efficiently, since functions that occur repeatedly need to be stored only once .
No restrictions are imposed on the factor graph or the operations of the model.
The graphical model data structure, inference algorithms and different encodings of functions interoperate through well-defined interfaces.
The binary OpenGM file format is based on the HDF5 standard and incorporates user extensions automatically.
The mathematical foundation can be found in the `OpenGM Manual `_ .
OpenGM Python Tutorial
======================
.. toctree::
import.rst
gm.rst
inference.rst
Examples
=======================
.. toctree::
examples.rst
OpenGM Python Reference Documentation
=======================
.. toctree::
refdocu.rst
opengm.rst
Contact
======================
opengm (AT) hci.iwr.uni-heidelberg (DOT) de
Authors
======================
OpenGM Authors
---------------------------
- Bjoern Andres
- bjoern (AT) andres (DOT) sc
- www.andres.sc
- Bjoern Andres,SEAS, Harvard University
- Thorsten Beier
- thorsten.beier (AT) iwr (DOT) uni-heidelberg (DOT) de
- Thorsten Beier, Multidimensional Image Processing Group Heidelberg Collaboratory for Image Processing (HCI), University of Heidelberg
- Joerg H. Kappes
- kappes (AT) math (DOT) uni-heidelberg (DOT) de
- ipa.iwr.uni-heidelberg.de/jkappes
- Joerg Hendrik Kappes, Image & Pattern Analysis Group Heidelberg Collaboratory for Image Processing (HCI), University of Heidelberg
OpenGM Python Author(s)
---------------------------
- Thorsten Beier
- thorsten.beier (AT) iwr (DOT) uni-heidelberg (DOT) de
- Thorsten Beier, Multidimensional Image Processing Group Heidelberg Collaboratory for Image Processing (HCI), University of Heidelberg