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Source: opengm
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Ghislain Antony Vaillant <ghisvail@gmail.com>
Section: science
Priority: optional
Build-Depends: cmake,
debhelper (>= 9),
dh-python,
libboost-dev,
libboost-graph-dev,
libboost-python-dev,
libhdf5-dev,
python,
python-nose,
python-numpy
Build-Depends-Indep: doxygen,
graphviz,
python-sphinx
Standards-Version: 3.9.8
Vcs-Browser: https://anonscm.debian.org/cgit/debian-science/packages/opengm.git
Vcs-Git: https://anonscm.debian.org/git/debian-science/packages/opengm.git
Homepage: http://hci.iwr.uni-heidelberg.de/opengm2/
X-Python-Version: >= 2.6
Package: libopengm-bin
Architecture: any
Depends: ${misc:Depends},
${shlibs:Depends}
Description: command line tools for OpenGM
OpenGM is a C++ template library for discrete factor graph models and
distributive operations on these models.
.
It includes state-of-the-art optimization and inference algorithms beyond
message passing. OpenGM handles large models efficiently, is modular and
extendible. The graphical model data structure, inference algorithms and
different encodings of functions inter-operate through well-defined
interfaces. The binary OpenGM file format is based on the HDF5 standard and
incorporates user extensions automatically.
.
This package contains the commandline interface to the OpenGM library.
Package: libopengm-dev
Architecture: all
Section: libdevel
Depends: ${misc:Depends}
Suggests: libopengm-doc
Description: C++ template library for discrete factor graph models
OpenGM is a C++ template library for discrete factor graph models and
distributive operations on these models.
.
It includes state-of-the-art optimization and inference algorithms beyond
message passing. OpenGM handles large models efficiently, is modular and
extendible. The graphical model data structure, inference algorithms and
different encodings of functions inter-operate through well-defined
interfaces. The binary OpenGM file format is based on the HDF5 standard and
incorporates user extensions automatically.
.
This package contains the development headers for the OpenGM library.
Package: libopengm-doc
Architecture: all
Section: doc
Depends: ${misc:Depends},
libjs-jquery
Description: documentation and examples for OpenGM
OpenGM is a C++ template library for discrete factor graph models and
distributive operations on these models.
.
It includes state-of-the-art optimization and inference algorithms beyond
message passing. OpenGM handles large models efficiently, is modular and
extendible. The graphical model data structure, inference algorithms and
different encodings of functions inter-operate through well-defined
interfaces. The binary OpenGM file format is based on the HDF5 standard and
incorporates user extensions automatically.
.
This package contains the API documentation and example source code for the
OpenGM library.
Package: python-opengm
Architecture: any
Multi-Arch: same
Section: python
Depends: ${misc:Depends},
${python:Depends},
${shlibs:Depends}
Suggests: python-opengm-doc
Description: Python interface to OpenGM
OpenGM is a C++ template library for discrete factor graph models and
distributive operations on these models.
.
It includes state-of-the-art optimization and inference algorithms beyond
message passing. OpenGM handles large models efficiently, is modular and
extendible. The graphical model data structure, inference algorithms and
different encodings of functions inter-operate through well-defined
interfaces. The binary OpenGM file format is based on the HDF5 standard and
incorporates user extensions automatically.
.
This package contains the Python interface to the OpenGM library.
Package: python-opengm-doc
Architecture: all
Section: doc
Depends: ${misc:Depends},
${sphinxdoc:Depends}
Description: documentation for the Python interface to OpenGM
OpenGM is a C++ template library for discrete factor graph models and
distributive operations on these models.
.
It includes state-of-the-art optimization and inference algorithms beyond
message passing. OpenGM handles large models efficiently, is modular and
extendible. The graphical model data structure, inference algorithms and
different encodings of functions inter-operate through well-defined
interfaces. The binary OpenGM file format is based on the HDF5 standard and
incorporates user extensions automatically.
.
This package contains the documentation for the Python interface to the
OpenGM library.
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