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libvigraimpex11-32bit-1.11.1-lp152.4.6 RPM for x86_64

From OpenSuSE Leap 15.2 for x86_64

Name: libvigraimpex11-32bit Distribution: openSUSE Leap 15.2
Version: 1.11.1 Vendor: openSUSE
Release: lp152.4.6 Build date: Sat May 16 15:50:15 2020
Group: System/Libraries Build host: cloud106
Size: 562592 Source RPM: vigra-1.11.1-lp152.4.6.src.rpm
Summary: Computer vision Library
VIGRA stands for "Vision with Generic Algorithms". It is a novel
computer vision library that puts its main emphasis on customizable
algorithms and data structures. By using template techniques similar to
those in the C++ Standard Template Library, you can easily adapt any
VIGRA component to the needs of your application, without giving up
execution speed.






* Tue Jan 23 2018
  - Remove python dependencies as we are not buliding the numpy code
    at all, as such it does not make sense to have just part of them
  - Make sure develpkg requires python3-base and fix shebang on
* Mon Dec 18 2017
  - Version update to 1.11.1:
    * Added 3D convex hull computation and features
    * Added Random Forest version 3, inspired by LEMON's graph API,
      to simplify customization of RF variants
    * Improved hierarchical clustering
    * Minor improvements and bug fixes in code and docs.
  - cleanup with spec-cleaner
  - remove gcc7-Fix-parameter-of-ImagePyramid-swap.patch
    * upstreamed in 18675a51fca27b324eb4e4b49593bcee9bc4535e
* Mon Mar 20 2017
  - Add patch gcc7-Fix-parameter-of-ImagePyramid-swap.patch in order
    to fix using the library with a GCC 7.
* Sat Feb 11 2017
  - Update RPM group. Run fdupes.
* Thu Feb 02 2017
  - use individual libboost-*-devel packages instead of boost-devel
* Mon Nov 21 2016
  - Version update to 1.11.0:
    * Ported vigranumpy to Python 3.5.
    * Added Chunked arrays to store data larger than RAM as a collection
      of rectangular blocks.
    * Added vigra::ThreadPool and parallel_foreach() for portable
      algorithm parallelization based on std::thread.
    * Implemented parallel versions of Gaussian smoothing, Gaussian
      derivatives, connected components labeling, and union-find watersheds.
    * Added graph-based image analysis, e.g. agglomerative clustering
    * Included the callback mechanism described in "Impossibly Fast
      C++ Delegates" by Sergey Ryazanov (needed for agglomerative clustering).
    * Added many image registration functions.
    * Extended the collection of multi-dimensional distance transform
      algorithms by vectorial DT, boundary DT, and eccentricity transform.
    * Added skeletonizeImage(), nonLocalMean(), multi-dimensional
      integral images.
    * Added new 2D shape features based on skeletonization and the
      convex hull.
    * Additional arithmetic and algebraic functions for vigra::TinyVector.
    * Added vigra::CountingIterator.
    * Minor improvements and bug fixes in the code and documentation.
* Tue Jan 07 2014
  - Fix source URL
* Fri Jan 03 2014
  - update to version 1.10.0
    * see
    * comes with tutorial as part of documentation now
  - so name bump to version 5
  - fixing baselibs config
* Tue Jun 04 2013
  - Version bump to 1.9.0
    * see
  - Update openexr finding and libdir target.
* Tue Sep 18 2012
  - Update to version 1.8.0
    * See
  - Drop all the patches, fixed upstream.
  - Fixed dependencies for the devel package.



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Fabrice Bellet, Tue May 9 12:55:56 2023