Ubuntu
libvigraimpex package

libvigraimpex 1.10.0+git20160211.167be93+dfsg-2ubuntu3 source package in Ubuntu

Changelog

libvigraimpex (1.10.0+git20160211.167be93+dfsg-2ubuntu3) bionic; urgency=medium

  * No-change rebuild for boost soname change.

 -- Matthias Klose <email address hidden>  Thu, 26 Oct 2017 17:19:20 +0000

Upload details

Uploaded by:
Matthias Klose
Uploaded to:
Bionic
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
libs
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
libvigraimpex_1.10.0+git20160211.167be93+dfsg.orig.tar.xz 16.8 MiB 55ac9025a960148f6c4ce39bbd11ae8963e9d9ff55b1013d703eafb664ee7ba6
libvigraimpex_1.10.0+git20160211.167be93+dfsg-2ubuntu3.debian.tar.xz 16.0 KiB 1d10dcd5683a1aca9a439f501a7c5c256cf4f55aa101a4731eeeca032c8295b2
libvigraimpex_1.10.0+git20160211.167be93+dfsg-2ubuntu3.dsc 2.8 KiB 84ec15a30bd20c371d1e99d04e3b48dffb9f6f4a0d54b1d18d63a3fa293e618e

View changes file

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.

libvigraimpex6: 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.

libvigraimpex6-dbgsym: debug symbols for libvigraimpex6
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-dbgsym: debug symbols for python-vigra
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.