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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 version:1.7.1+dfsg1-3


libvigraimpex (1.7.0+dfsg-3) unstable; urgency=low

  VIGRA 1.7.0 introduces two backwards incompatible changes:

  * Angle convention was modified from counter-clockwise to clockwise.

  * symmetricEigensystem() sorts eigenvalues by decreasing value (was:
    decreasing absolute values).

 -- Jakub Wilk <>  Wed, 16 Jun 2010 01:12:04 +0200


libvigraimpex (1.7.1+dfsg1-3) unstable; urgency=low

  * QA upload
  * Fix build failure with GCC 4.7. Closes: #667258.
  * Build-depend on libpng-dev. Closes: #662414.

 -- Matthias Klose <>  Mon, 16 Apr 2012 23:06:00 +0200

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

  * QA upload
  * Patch libpng15: Fix FTBFS with libpng 1.5 (closes: #636003). Thanks to
    Nobuhiro Iwam



      * Ullrich Köthe originated and wrote the library.

      * Mikhail Amchislavsky ( contributed code to
      read and write PNM files.

      * Hans Meine ( contributed interface code for
      the FFTW Fourier transform library, the ImageArray class and the
      Gabor filter code. He also collaborated in the implementation of
      many othe


Upstream-Name: VIGRA
Upstream-Contact: Ullrich Köthe <ullr

Browse inside python-vigra_1.7.1+dfsg1-3_i386.deb

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