opencv-3.1.0-2.3

- Enable ffmpeg support unconditional

- In case we build using GCC6 (or newer), add -mlra to CFLAGS to
  workaround gcc bug
  https://gcc.gnu.org/bugzilla/show_bug.cgi?id=71294.

- Apply upstream patch opencv-gcc6-disable-pch.patch to disable
  PCH for GCC6.

- Test for python versions greater than or equal to the current
  version.

- Add python 3 support

- Added opencv_contrib_face-3.1.0.tar.bz2
  * This tarball is created to take only the face module from the
    contrib package. The Face module is required by libkface, which
    in its turn is required by digikam.

- Added _constraints file to avoid random failures on small workers
  (at least for builds on PMBS)

- Update to OpenCV 3.1.0
  - A lot of new functionality has been introduced during Google
    Summer of Code 2015:
    + ?Omnidirectional Cameras Calibration and Stereo 3D
    Reconstruction? ? opencv_contrib/ccalib module
    (Baisheng Lai, Bo Li)
    + ?Structure From Motion? ? opencv_contrib/sfm module
    (Edgar Riba, Vincent Rabaud)
    + ?Improved Deformable Part-based Models? ? opencv_contrib/dpm
    module (Jiaolong Xu, Bence Magyar)
    + ?Real-time Multi-object Tracking using Kernelized Correlation
    Filter? ? opencv_contrib/tracking module
    (Laksono Kurnianggoro, Fernando J. Iglesias Garcia)
    + ?Improved and expanded Scene Text Detection? ?
    opencv_contrib/text module (Lluis Gomez, Vadim Pisarevsky)
    + ?Stereo correspondence improvements? ? opencv_contrib/stereo
    module (Mircea Paul Muresan, Sergei Nosov)
    + ?Structured-Light System Calibration? ?
    opencv_contrib/structured_light (Roberta Ravanelli,
    Delia Passalacqua, Stefano Fabri, Claudia Rapuano)
    + ?Chessboard+ArUco for camera calibration? ?
    opencv_contrib/aruco (Sergio Garrido, Prasanna, Gary Bradski)
    + ?Implementation of universal interface for deep neural
    network frameworks? ? opencv_contrib/dnn module
    (Vitaliy Lyudvichenko, Anatoly Baksheev)
    + ?Recent advances in edge-aware filtering, improved SGBM
    stereo algorithm? ? opencv/calib3d and opencv_contrib/ximgproc
    (Alexander Bokov, Maksim Shabunin)
    + ?Improved ICF detector, waldboost implementation? ?
    opencv_contrib/xobjdetect (Vlad Shakhuro, Alexander Bovyrin)
    + ?Multi-target TLD tracking? ? opencv_contrib/tracking module
    (Vladimir Tyan, Antonella Cascitelli)
    + ?3D pose estimation using CNNs? ? opencv_contrib/cnn_3dobj
    (Yida Wang, Manuele Tamburrano, Stefano Fabri)
  - Many great contributions made by the community, such as:
    + Support for HDF5 format
    + New/Improved optical flow algorithms
    + Multiple new image processing algorithms for filtering,
    segmentation and feature detection
    + Superpixel segmentation and much more
  - IPPICV is now based on IPP 9.0.1, which should make OpenCV
    even faster on modern Intel chips
  - opencv_contrib modules can now be included into the
    opencv2.framework for iOS
  - Newest operating systems are supported: Windows 10 and
    OSX 10.11 (Visual Studio 2015 and XCode 7.1.1)
  - Interoperability between T-API and OpenCL, OpenGL, DirectX and
    Video Acceleration API on Linux, as well as Android 5 camera.
  - HAL (Hardware Acceleration Layer) module functionality has been
    moved into corresponding basic modules; the HAL replacement
    mechanism has been implemented along with the examples
- Removed improve-sphinx-search.diff, opencv-altivec-vector.patch,
  opencv-pkgconfig.patch and opencv-samples.patch, fixed upstream.
- Fixed opencv-qt5-sobump.diff, opencv-build-compare.patch,
  opencv-gcc5.patch and opencv-gles.patch.
- Version OpenCV 3.0.0
  + ~1500 patches, submitted as PR @ github. All our patches go
    the same route.
  + opencv_contrib (http://github.com/itseez/opencv_contrib)
    repository has been added. A lot of new functionality is there
    already! opencv_contrib is only compatible with 3.0/master,
    not 2.4. Clone the repository and use ?cmake ?
  - D OPENCV_EXTRA_MODULES_PATH=<path_to opencv_contrib/modules> ??
    to build opencv and opencv_contrib together.
  + a subset of Intel IPP (IPPCV) is given to us and our users free
    of charge, free of licensing fees, for commercial and
    non-commerical use. It?s used by default in x86 and x64 builds
    on Windows, Linux and Mac.
  + T-API (transparent API) has been introduced, this is transparent
    GPU acceleration layer using OpenCL. It does not add any
    compile-time or runtime dependency of OpenCL. When OpenCL is
    available, it?s detected and used, but it can be disabled at
    compile time or at runtime. It covers ~100 OpenCV functions.
    This work has been done by contract and with generous support
    from AMD and Intel companies.
  + ~40 OpenCV functions have been accelerated using NEON intrinsics
    and because these are mostly basic functions, some higher-level
    functions got accelerated as well.
  + There is also new OpenCV HAL layer that will simplifies creation
    of NEON-optimized code and that should form a base for the
    open-source and proprietary OpenCV accelerators.
  + The documentation is now in Doxygen: http://docs.opencv.org/master/
  + We cleaned up API of many high-level algorithms from features2d,
    calib3d, objdetect etc. They now follow the uniform
    ?abstract interface ? hidden implementation? pattern and make
    extensive use of smart pointers (Ptr<>).
  + Greatly improved and extended Python & Java bindings (also,
    see below on the Python bindings), newly introduced Matlab
    bindings (still in alpha stage).
  + Improved Android support ? now OpenCV Manager is in Java and
    supports both 2.4 and 3.0.
  + Greatly improved WinRT support, including video capturing and
    multi-threading capabilities. Thanks for Microsoft team for this!
  + Big thanks to Google who funded several successive GSoC programs
    and let OpenCV in. The results of many successful GSoC 2013 and
    2014 projects have been integrated in opencv 3.0 and
    opencv_contrib (earlier results are also available in
    OpenCV 2.4.x). We can name:
  - text detection
  - many computational photography algorithms (HDR, inpainting,
    edge-aware filters, superpixels, ?)
  - tracking and optical flow algorithms
  - new features, including line descriptors, KAZE/AKAZE
  - general use optimization (hill climbing, linear programming)
  - greatly improved Python support, including Python 3.0 support,
    many new tutorials & samples on how to use OpenCV with Python.
  - 2d shape matching module and 3d surface matching module
  - RGB-D module
  - VTK-based 3D visualization module
  - etc.
  + Besides Google, we enjoyed (and hope that you will enjoy too)
    many useful contributions from community, like:
  - biologically inspired vision module
  - DAISY features, LATCH descriptor, improved BRIEF
  - image registration module
  - etc.

- Reduce build-compare noise
  opencv-build-compare.patch

- Remove BuildRequirement for python-sphinx in SLE12, since it's
  not available there and it's not a mandatory requirement.

- Reduce differences between two spec files

- Use pkgconfig for ffmpeg BuildRequires

- Update improve-sphinx-search.diff for new python-Sphinx(1.3.1)
  * now that sphinx-build disallow executing without arguments and
    give you "Insufficient arguments" error, use "sphinx-build -h"
    instead
  * the default usages output ie. sphinx-build(or --help) no longer
    are standard error but standard output, drop OUTPUT_QUIET and
    add OUTPUT_VARIABLE throws the output to SPHINX_OUTPUT as well

- support gcc 5 (i.e. gcc versions without minor version):
  opencv-gcc5.patch

- Update to OpenCV 2.4.11 - can't find NEWS or Changelog
  merely collecting bug fixes while 3.0 is in the making, 2.4.11
  didn't even make it on their web page, it's only on download
  server
- remove opencv-underlinking.patch as obsolete
- remove upstream patch bomb_commit_gstreamer-1x-support.patch
- commenting out opencv-pkgconfig.patch - possibly it requires a rebase,
  but the problem it tries to solve is unclear

- Add specific buildrequires for libpng15, so that we are
  building against the system provided libpng.

- Update to OpenCV 2.4.9
  More info at:
  http://opencv.org/opencv-2-4-9-is-out.html
  The brief list of changes:
  * new 3D visualization module ?viz?;
  * performance fixes in ?ocl? module;
  * fixes in Android Camera;
  * improved CUDA support for mobile platforms;
  * bugfixes from community;
  * 55 reported bugs have been closed;
  * 156 pull requests have been merged.

- Drop the BuildRequires on libucil and libunicap for Factory. This
  stops us from getting ride of Gstreamer 0.10 and besides these two
  libraries seem to be unmaintained upstream as that the latest
  actions are from 2010

- Add upstream patch (3.0 version) to support Gstreamer 1.x
  * bomb_commit_gstreamer-1x-support.patch

- Upstream now provides tarballs with source only as git tags
  from github so update Source0 path.