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.