Source: mia Maintainer: Debian Med Packaging Team Uploaders: Gert Wollny Section: science Priority: optional Build-Depends: cmake, debhelper (>= 12~), 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, libnifti-dev, libnlopt-dev, libopenexr-dev, libpng-dev, libtiff-dev, libvtk7-dev, libvistaio-dev, libxml2-dev, python-lxml Build-Depends-Indep: docbook-xsl, doxygen, graphviz, libjs-mathjax, xsltproc Standards-Version: 4.3.0 Vcs-Browser: https://salsa.debian.org/med-team/mia Vcs-Git: https://salsa.debian.org/med-team/mia.git Homepage: http://mia.sourceforge.net 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: python-lxml, python, ${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.