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Source: libvigraimpex
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Andreas Metzler <ametzler@debian.org>
Section: libs
Priority: optional
Build-Depends: cmake,
debhelper-compat (= 13),
dh-sequence-python3,
dh-sequence-numpy3,
libboost-python-dev,
libfftw3-dev,
libhdf5-dev,
libjpeg-dev,
libopenexr-dev,
libpng-dev,
libtiff5-dev,
python3-dev,
python3-nose,
libboost-thread-dev
Build-Depends-Indep: dh-sequence-sphinxdoc,
doxygen,
ghostscript,
python3,
python3-sphinx,
texlive-latex-base,
texlive-latex-extra
Rules-Requires-Root: no
Standards-Version: 4.5.1
Vcs-Browser: https://salsa.debian.org/science-team/libvigraimpex
Vcs-Git: https://salsa.debian.org/science-team/libvigraimpex.git
Homepage: https://ukoethe.github.io/vigra/
Package: libvigraimpex-dev
Architecture: any
Multi-Arch: same
Section: libdevel
Depends: libfftw3-dev,
libhdf5-dev,
libjpeg-dev,
libpng-dev,
libtiff5-dev,
libvigraimpex11 (= ${binary:Version}),
${misc:Depends}
Suggests: libvigraimpex-doc
Description: development files for the C++ computer vision library
Vision with Generic Algorithms (VIGRA) is a computer vision library
that puts its main emphasis on flexible algorithms, because
algorithms represent the principle know-how of this field. The
library was consequently built using generic programming as
introduced by Stepanov and Musser and exemplified in the C++ Standard
Template Library. By writing a few adapters (image iterators and
accessors) you can use VIGRA's algorithms on top of your data
structures, within your environment.
.
This package contains the header and development files needed to
build programs and packages using VIGRA.
Package: libvigraimpex11
Architecture: any
Multi-Arch: same
Depends: ${misc:Depends},
${shlibs:Depends}
Pre-Depends: ${misc:Pre-Depends}
Description: C++ computer vision library
Vision with Generic Algorithms (VIGRA) is a computer vision library
that puts its main emphasis on flexible algorithms, because
algorithms represent the principle know-how of this field. The
library was consequently built using generic programming as
introduced by Stepanov and Musser and exemplified in the C++ Standard
Template Library. By writing a few adapters (image iterators and
accessors) you can use VIGRA's algorithms on top of your data
structures, within your environment.
Package: libvigraimpex-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}
Suggests: libvigraimpex-dev,
python-vigra-doc
Description: Documentation for the C++ computer vision library
Vision with Generic Algorithms (VIGRA) is a computer vision library
that puts its main emphasis on flexible algorithms, because
algorithms represent the principle know-how of this field. The
library was consequently built using generic programming as
introduced by Stepanov and Musser and exemplified in the C++ Standard
Template Library. By writing a few adapters (image iterators and
accessors) you can use VIGRA's algorithms on top of your data
structures, within your environment.
.
This package contains documentation for the VIGRA library.
Package: python3-vigra
Architecture: any
Section: python
Depends: libvigraimpex11 (= ${binary:Version}),
${misc:Depends},
${python3:Depends},
${shlibs:Depends}
Recommends: python3-pyqt4
Suggests: python3-h5py,
python-vigra-doc
Description: Python3 bindings for the C++ computer vision library
Vision with Generic Algorithms (VIGRA) is a computer vision library
that puts its main emphasis on flexible algorithms, because
algorithms represent the principle know-how of this field. The
library was consequently built using generic programming as
introduced by Stepanov and Musser and exemplified in the C++ Standard
Template Library. By writing a few adapters (image iterators and
accessors) you can use VIGRA's algorithms on top of your data
structures, within your environment.
.
This package exports the functionality of the VIGRA library to Python3.
Package: python-vigra-doc
Architecture: all
Section: doc
Depends: ${misc:Depends},
${sphinxdoc:Depends}
Suggests: libvigraimpex-doc,
python3-vigra
Description: Documentation for Python3 bindings for the C++ computer vision library
Vision with Generic Algorithms (VIGRA) is a computer vision library
that puts its main emphasis on flexible algorithms, because
algorithms represent the principle know-how of this field. The
library was consequently built using generic programming as
introduced by Stepanov and Musser and exemplified in the C++ Standard
Template Library. By writing a few adapters (image iterators and
accessors) you can use VIGRA's algorithms on top of your data
structures, within your environment.
.
This package contains documentation for Python3 bindings for the VIGRA library.
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