opencv-3.3.1-bp152.3.1

- Add CVE-2019-15939.patch: add input check in HOG detector
  (boo#1149742 CVE-2019-15939).

- Add opencv-cmake-rel-deb-info.patch: rework MAP_IMPORTED_CONFIG
  to prevent unintended build failures (boo#1154091).
- Add opencv-check-macros.patch: Add "check" macros (boo#1144352
  boo#1144348).
- Add CVE-2019-14491.patch: objdetect: validate feature rectangle
  when reading (boo#1144352 boo#1144348 CVE-2019-14491
  CVE-2019-14492).

- Add CVE-2019-15939.patch: add input check in HOG detector
  (boo#1149742 CVE-2019-15939).

- Add opencv-cmake-rel-deb-info.patch: rework MAP_IMPORTED_CONFIG
  to prevent unintended build failures (boo#1154091).
- Add opencv-check-macros.patch: Add "check" macros (boo#1144352
  boo#1144348).
- Add CVE-2019-14491.patch: objdetect: validate feature rectangle
  when reading (boo#1144352 boo#1144348 CVE-2019-14491
  CVE-2019-14492).

- Add opencv-imgproc-fix-bounds-check.patch:
  make backport from commit 4ca89db to fix imgproc(hdr)
  bounds check in HdrDecoder::checkSignature ( bsc#1074312,
  CVE-2017-18009 ).

- Add conditionals for python2 and python3 to allow us enabling
  only desired python variants when needed
- Do not depend on sphinx as py2 and py3 seem to collide there

- Readd opencv-gles.patch, it is *not* included upstream; otherwise
  build breaks on all GLES Qt5 platforms (armv6l, armv7l, aarch64)
- add fix_processor_detection_for_32bit_on_64bit.patch
- Correctly set optimizations and dynamic dispatch on ARM, use
  OpenCV 3.3 syntax on x86.

- Update licensing information

- change requires of python-numpy-devel to build in Leap and
  to not break factory in future

- fix build error/unresolvable for Leap 42.2 and 42.3

- Update to version 3.3.1:
  * Lots of various bugfixes
- Update source url

- Rename python subpackage to python2
- Do not explicitly require python-base for python subpackages

- Update to 3.3
- Dropped obsolete patches
  * opencv-gcc6-fix-pch-support-PR8345.patch
  * opencv-gles.patch
- Updated opencv-build-compare.patch

- Add 0001-Do-not-include-glx.h-when-using-GLES.patch
  Fix build for 32bit ARM, including both GLES and desktop GL headers
  causes incompatible pointer type errors

- Add conditional for the qt5/qt4 integration
  * This is used only for gui tools, library is not affected
- Add provides/obsoletes for the qt5 packages to allow migration
- Drop patch opencv-qt5-sobump.diff
  * Used only by the obsoleted qt5 variant

- Cleanup a bit with spec-cleaner
- Use %cmake macros
- Remove the conditions that are not really needed
- Add tests conditional disabled by default
  * Many tests fail and there are missing testdata
- Switch to pkgconfig style dependencies

- Update to OpenCV 3.2.0
  - Results from 11 GSoC 2016 projects have been submitted to the library:
    + sinusoidal patterns for structured light and phase unwrapping module
    [Ambroise Moreau (Delia Passalacqua)]
    + DIS optical flow (excellent dense optical flow algorithm that is both
    significantly better and significantly faster than Farneback?s algorithm ?
    our baseline), and learning-based color constancy algorithms implementation
    [Alexander Bokov (Maksim Shabunin)]
    + CNN based tracking algorithm (GOTURN) [Tyan Vladimir (Antonella Cascitelli)]
    + PCAFlow and Global Patch Collider algorithms implementation
    [Vladislav Samsonov (Ethan Rublee)]
    + Multi-language OpenCV Tutorials in Python, C++ and Java
    [João Cartucho (Vincent Rabaud)]
    + New camera model and parallel processing for stitching pipeline
    [Jiri Horner (Bo Li)]
    + Optimizations and improvements of dnn module
    [Vitaliy Lyudvichenko (Anatoly Baksheev)]
    + Base64 and JSON support for file storage. Use names like
    ?myfilestorage.xml?base64? when writing file storage to store big chunks of
    numerical data in base64-encoded form.  [Iric Wu (Vadim Pisarevsky)]
    + tiny_dnn improvements and integration
    [Edgar Riba (Manuele Tamburrano, Stefano Fabri)]
    + Quantization and semantic saliency detection with tiny_dnn
    [Yida Wang (Manuele Tamburrano, Stefano Fabri)]
    + Word-spotting CNN based algorithm
    [Anguelos Nicolaou (Lluis Gomez)]
  - Contributions besides GSoC:
    + Greatly improved and accelerated dnn module in opencv_contrib:
  - Many new layers, including deconvolution, LSTM etc.
  - Support for semantic segmentation and SSD networks with samples.
  - TensorFlow importer + sample that runs Inception net by Google.
    + More image formats and camera backends supported
    + Interactive camera calibration app
    + Multiple algorithms implemented in opencv_contrib
    + Supported latest OSes, including Ubuntu 16.04 LTS and OSX 10.12
    + Lot?s of optimizations for IA and ARM archs using parallelism, vector
    instructions and new OpenCL kernels.
    + OpenCV now can use vendor-provided OpenVX and LAPACK/BLAS (including Intel MKL,
    Apple?s Accelerate, OpenBLAS and Atlas) for acceleration
- Refreshed opencv-build-compare.patch
- Dropped upstream opencv-gcc5.patch
- Replace opencv-gcc6-disable-pch.patch with upstream patch
  opencv-gcc6-fix-pch-support-PR8345.patch
- Enable TBB support (C++ threading library)
- Add dependency on openBLAS

- 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