Ubuntu

“libvigraimpex” 1.7.0+dfsg-7ubuntu7 source package in Ubuntu

Changelog

libvigraimpex (1.7.0+dfsg-7ubuntu7) oneiric; urgency=low

  * Backport from Debian (Jakub Wilk, LP: #829462):
    - Update docsrc-doxygen-1.7.diff to deal with the latest Doxygen.
 -- Colin Watson <email address hidden>   Thu, 25 Aug 2011 11:48:11 +0100

Upload details

Uploaded by:
Colin Watson on 2011-08-25
Uploaded to:
Oneiric
Original maintainer:
Ubuntu Developers
Component:
main
Architectures:
any
Section:
libs
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oneiric release on 2011-08-25 main libs

Downloads

File Size MD5 Checksum
libvigraimpex_1.7.0+dfsg.orig.tar.gz 24.6 MiB d0d97a00fce3afa52b0f5990f61e9b26
libvigraimpex_1.7.0+dfsg-7ubuntu7.debian.tar.gz 22.1 KiB 95a253d2577bb2d9b59759d80eae0193
libvigraimpex_1.7.0+dfsg-7ubuntu7.dsc 2.4 KiB 1f0b83f50912d843f87fd612178b9beb

Binary packages built by this source

libvigraimpex-dev: 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.

libvigraimpex-doc: 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.

libvigraimpex2: 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.

python-vigra: 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.

python-vigra-doc: 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.