Source: libvigraimpex Section: libs Priority: optional Maintainer: Debian Science Maintainers Uploaders: Daniel Stender Build-Depends: cmake, debhelper (>= 10), dh-python, dpkg-dev (>= 1.15.3~), libboost-python-dev (>= 1.40.0), libfftw3-dev, libhdf5-dev (>= 1.8), libjpeg-dev, libopenexr-dev, libpng-dev, libtiff5-dev, python-all-dev, python-nose, python-numpy, libboost-thread-dev Build-Depends-Indep: doxygen, ghostscript, python, python3-sphinx, texlive-latex-base Build-Conflicts: autoconf2.13 Standards-Version: 4.3.0 Vcs-Browser: https://salsa.debian.org/science-team/libvigraimpex Vcs-Git: https://salsa.debian.org/science-team/libvigraimpex.git Homepage: http://ukoethe.github.io/vigra/ Package: libvigraimpex-dev Section: libdevel Architecture: any Multi-Arch: same Depends: libfftw3-dev, libhdf5-dev (>= 1.8), libjpeg-dev, libpng-dev, libtiff5-dev, libvigraimpex6 (= ${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: libvigraimpex6 Architecture: any Depends: ${misc:Depends}, ${shlibs:Depends} Multi-Arch: same Pre-Depends: ${misc:Pre-Depends} Breaks: libvigraimpex5v5 (>= 1.10.0+git20160120.803d5d4-1) Replaces: libvigraimpex5v5 (>= 1.10.0+git20160120.803d5d4-1) 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 Section: doc Architecture: all 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: python-vigra Section: python Architecture: any Depends: ${misc:Depends}, ${python:Depends}, ${shlibs:Depends} Recommends: python-qt4 Suggests: python-h5py, python-vigra-doc Description: Python 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 Python. Package: python-vigra-doc Section: doc Architecture: all Depends: ${misc:Depends}, ${sphinxdoc:Depends} Suggests: libvigraimpex-doc, python-vigra Description: Documentation for Python 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 Python bindings for the VIGRA library.