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Source: mia
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Gert Wollny <gewo@debian.org>
Section: science
Priority: optional
Build-Depends: cmake,
debhelper-compat (= 13),
libblas-dev,
libboost-filesystem-dev,
libboost-serialization-dev,
libboost-system-dev,
libboost-test-dev,
libdcmtk-dev,
libeigen3-dev,
libfftw3-dev,
libgsl-dev,
libgts-dev,
libitpp-dev,
libhdf5-dev,
libmaxflow-dev,
libnifti2-dev,
libnlopt-dev,
libopenexr-dev,
libpng-dev,
libtiff-dev,
libvtk7-dev,
libvistaio-dev,
libxml2-dev,
python3-lxml
Build-Depends-Indep: docbook-xsl,
doxygen,
graphviz,
libjs-mathjax,
xsltproc
Standards-Version: 4.5.1
Vcs-Browser: https://salsa.debian.org/med-team/mia
Vcs-Git: https://salsa.debian.org/med-team/mia.git
Homepage: http://mia.sourceforge.net
Rules-Requires-Root: no
Package: libmia-2.4-4
Architecture: any
Section: libs
Depends: ${shlibs:Depends},
${misc:Depends}
Pre-Depends: ${misc:Pre-Depends}
Breaks: libmia-2.4-0
Replaces: libmia-2.4-0
Description: library for 2D and 3D gray scale image processing
libmia comprises a set of libraries and plug-ins for general purpose
2D and 3D gray scale image processing and basic handling of triangular
meshes. The libraries provide a basic infrastructure and generic
algorithms, that can be specialized by specifying the appropriate plug-ins.
Package: libmia-2.4-dev
Architecture: any
Section: libdevel
Depends: libmia-2.4-4 (= ${binary:Version}),
mia-doctools (= ${source:Version}),
libitpp-dev,
libgsl-dev,
libboost-test-dev,
libfftw3-dev,
libblas-dev,
${misc:Depends}
Recommends: libmia-2.4-doc
Conflicts: libmia-2.2-dev
Replaces: libmia-2.2-dev
Description: library for 2D and 3D gray scale image processing, development files
libmia comprises a set of libraries and plug-ins for general purpose
2D and 3D gray scale image processing and basic handling of triangular
meshes. The libraries provide a basic infrastructure and generic
algorithms, that can be specialized by specifying the appropriate plug-ins.
This package provides the development files for the library.
Package: libmia-2.4-doc
Architecture: all
Section: doc
Depends: ${misc:Depends},
libjs-mathjax
Enhances: libmia-2.4-dev
Conflicts: libmia-2.2-doc
Replaces: libmia-2.2-doc
Description: library for 2D and 3D gray scale image processing, documentation
libmia comprises a set of libraries and plug-ins for general purpose
2D and 3D gray scale image processing and basic handling of triangular
meshes. The libraries provide a basic infrastructure and generic
algorithms, that can be specialized by specifying the appropriate plug-ins.
This package provides the Doxygen generated API reference.
Package: mia-tools
Architecture: any
Depends: libmia-2.4-4 (= ${binary:Version}),
${shlibs:Depends},
${misc:Depends}
Recommends: mia-tools-doc
#Suggests: python-nipype
Description: Command line tools for gray scale image processing
Command lines tools to run general purpose image processing tasks on 2D
and 3D gray scale images, and basic operations on triangular meshes.
Supported image processing algorithms are image filtering, combining, image
registration, motion compensation for image series, and the estimation of
various statistics over images.
This package also contains the nipype interfaces for these command line tools.
Package: mia-doctools
Architecture: all
Depends: python3-lxml,
python3,
${misc:Depends}
Conflicts: libmia-2.2-dev
Description: Helper scripts for run-time document creation
A set of scripts that can be used to create man-pages and on-line
documentation for programs that make use of the mia command line
parser and plug-in infrastructure
Package: mia-tools-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}
Enhances: mia-tools
Description: Cross-referenced documentation of the MIA command line tools
Cross referenced documentation of the command line tools and plug-ins that
are provided by the MIA gray scale image processing tool chain.
These lines tools to provide the means to run general purpose image
processing tasks on 2D and 3D gray scale images, and basic operations on
triangular meshes interactively from the command line. Supported image
processing algorithms are image filtering, combining, image registration,
motion compensation for image series, and the estimation of various
statistics over images.
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