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Source: insighttoolkit4
Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Uploaders: Steve M. Robbins <smr@debian.org>,
Gert Wollny <gewo@debian.org>,
Étienne Mollier <emollier@debian.org>
Section: science
Priority: optional
Build-Depends: debhelper-compat (= 13),
cmake,
gcc-11,
g++-11,
dh-python,
swig,
castxml (>= 0.3.4-2),
zlib1g-dev,
libdouble-conversion-dev,
libexpat-dev,
libpng-dev,
libtiff-dev,
libfftw3-dev,
libdcmtk-dev,
libgdcm-dev,
libgtest-dev,
uuid-dev,
libminc-dev,
libnifti2-dev,
libhdf5-dev,
python3-dev
# libvtk6-dev -- only needed if we enable one of the following modules:
# VtkGlue, LevelSetsv4Visualization
Standards-Version: 4.6.1
Vcs-Browser: https://salsa.debian.org/med-team/insighttoolkit/-/tree/itk-4.y
Vcs-Git: https://salsa.debian.org/med-team/insighttoolkit.git -b itk-4.y
Homepage: http://www.itk.org/
Rules-Requires-Root: no
Package: libinsighttoolkit4.13
Architecture: amd64 i386
Section: libs
Depends: ${shlibs:Depends},
${misc:Depends}
Breaks: libinsighttoolkit4.12
Description: Image processing toolkit for registration and segmentation - runtime
ITK is an open-source software toolkit for performing registration and
segmentation. Segmentation is the process of identifying and
classifying data found in a digitally sampled
representation. Typically the sampled representation is an image
acquired from such medical instrumentation as CT or MRI
scanners. Registration is the task of aligning or developing
correspondences between data. For example, in the medical
environment, a CT scan may be aligned with a MRI scan in order to
combine the information contained in both.
.
This package contains the libraries needed to run ITK applications.
Package: libinsighttoolkit4-dev
Architecture: amd64 i386
Section: libdevel
Depends: ${shlibs:Depends},
${misc:Depends},
libinsighttoolkit4.13 (= ${binary:Version}),
libgdcm-dev,
libdcmtk-dev,
libhdf5-dev,
libdouble-conversion-dev,
libexpat-dev,
libnifti-dev,
libminc-dev
Recommends: libfftw3-dev,
uuid-dev
Suggests: insighttoolkit4-examples
Conflicts: libinsighttoolkit-dev
Replaces: libinsighttoolkit-dev
Description: Image processing toolkit for registration and segmentation - development
ITK is an open-source software toolkit for performing registration and
segmentation. Segmentation is the process of identifying and
classifying data found in a digitally sampled
representation. Typically the sampled representation is an image
acquired from such medical instrumentation as CT or MRI
scanners. Registration is the task of aligning or developing
correspondences between data. For example, in the medical
environment, a CT scan may be aligned with a MRI scan in order to
combine the information contained in both.
.
This package contains the development files needed to build your own
ITK applications.
Package: insighttoolkit4-examples
Architecture: all
Section: devel
Depends: ${misc:Depends},
${shlibs:Depends}
Suggests: libinsighttoolkit4-dev
Conflicts: insighttoolkit-examples
Replaces: insighttoolkit-examples
Multi-Arch: foreign
Description: Image processing toolkit for registration and segmentation - examples
ITK is an open-source software toolkit for performing registration and
segmentation. Segmentation is the process of identifying and
classifying data found in a digitally sampled
representation. Typically the sampled representation is an image
acquired from such medical instrumentation as CT or MRI
scanners. Registration is the task of aligning or developing
correspondences between data. For example, in the medical
environment, a CT scan may be aligned with a MRI scan in order to
combine the information contained in both.
.
This package contains the source for example programs.
#Package: insighttoolkit4-python3
#Architecture: amd64 i386
#Section: python
#Depends: ${misc:Depends},
# ${shlibs:Depends},
# ${python3:Depends}
#Conflicts: insighttoolkit-python,
# insighttoolkit4-python
#Description: Image processing toolkit for registration and segmentation - Python bindings
# ITK is an open-source software toolkit for performing registration and
# segmentation. Segmentation is the process of identifying and
# classifying data found in a digitally sampled
# representation. Typically the sampled representation is an image
# acquired from such medical instrumentation as CT or MRI
# scanners. Registration is the task of aligning or developing
# correspondences between data. For example, in the medical
# environment, a CT scan may be aligned with a MRI scan in order to
# combine the information contained in both.
# .
# This package contains the Python bindings.
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