libvigraimpex 1.7.1+dfsg1-2ubuntu4 source package in Ubuntu

Changelog

libvigraimpex (1.7.1+dfsg1-2ubuntu4) precise; urgency=low

  * No change rebuild to pick up a numpy ABI
 -- Micah Gersten <email address hidden>   Sun, 19 Feb 2012 15:51:36 -0600

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Uploaded by:
Micah Gersten on 2012-02-19
Uploaded to:
Precise
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
libs
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Precise release on 2012-02-19 main libs

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File Size SHA-256 Checksum
libvigraimpex_1.7.1+dfsg1.orig.tar.gz 21.5 MiB 6f4a6d2e3b9c0fe0da83878c01ccd68fc75c7e0d426b5372e2c0819b24975f7b
libvigraimpex_1.7.1+dfsg1-2ubuntu4.debian.tar.gz 28.1 KiB f61b14cd1f5390d9ff99680af1c3f88dfb67a84a7e01e076788ae4257d46daa6
libvigraimpex_1.7.1+dfsg1-2ubuntu4.dsc 1.7 KiB fc9413d12f38c86a6e2ed573bf57325679292cc5b1a3c8da5ab925bcf4f8d664

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Binary packages built by this source

libvigraimpex-dev: No summary available for libvigraimpex-dev in ubuntu quantal.

No description available for libvigraimpex-dev in ubuntu quantal.

libvigraimpex-doc: No summary available for libvigraimpex-doc in ubuntu quantal.

No description available for libvigraimpex-doc in ubuntu quantal.

libvigraimpex3: 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: No summary available for python-vigra in ubuntu quantal.

No description available for python-vigra in ubuntu quantal.

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.