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Add opencv-imgcodecs-replace-assert-add-overflow-checks.patch： make backport from commit be52479 and 8a76fad to replace assert() calls and add overflow checks ( bsc#1075019, CVE-2018-5269 ).- Add opencv-imgcodecs-add-more-jasper-checks.patch: make backport from commit 435a3e3 to add more Jasper checks for supported and tested cases ( bsc#1075017, CVE-2018-5268 ).- Add opencv-imgcodecs-fix-out-of-bounds-write.patch: make backport from commit c58152d to fix out of bounds write ( bsc#1074487, CVE-2017-1000450 ).- Add opencv-imgcodecs-pxm-fix-memcpy-size.patch: make backport from commit 7bbe1a5 to fix imgcodecs(pxm) memcpy size ( bsc#1074313, CVE-2017-17760 ).- 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 opencv-imgcodecs-fix-integer-overflow.patch: make backport from commit aacae20 to fix code problems with integer overflow / address arithmetic / UB ( bsc#1057146, CVE-2017-14136 ).- Add opencv-imgcodecs-refactoring.patch: make backport from commit 999f41fb to refactor imgcodecs for code quality and prevent attackers achieving remote code execution ( boo#1033150, CVE-2016-1517, boo#1033152, CVE-2016-1516, bsc#1052451, CVE-2017-12606, bsc#1052454, CVE-2017-12604, bsc#1052455, CVE-2017-12603, bsc#1052456, CVE-2017-12602, bsc#1052457, CVE-2017-12601, bsc#1052459, CVE-2017-12600, bsc#1052461, CVE-2017-12599, bsc#1052462, CVE-2017-12598, bsc#1052465, CVE-2017-12597, bsc#1052465, CVE-2017-12597, bsc#1054019, CVE-2017-12864, bsc#1054020, CVE-2017-12863, bsc#1054021, CVE-2017-12862, bsc#1054984, CVE-2017-12605 ).- 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= …” 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.- Add requires on various X extensions linked to opencv_ts module. As those are present in the .pc file we need it anyway.- Update to OpenCV 2.4.8 More info at: http://opencv.org/opencv-2-4-8.html The brief list of changes: * NVidia CUDA support on Android devices with CUDA capable SoC and CUDA sample; * Concurrent kernel execution and user defined context support for OpenCL; * Integration with Intel Perceptual SDK and new depth sensors support for Windows; * 32 reported bugs have been closed; * 139 pull requests have been merged;- Fix build with altivec: opencv-altivec-vector.patch- Added opencv-pkgconfig.patch: make sure to provide link flags in OpenCV pc file (bnc#853036)- Update to OpenCV 2.4.7 More info at: http://opencv.org/opencv-2-4-7-is-out.html The brief list of changes: * dynamic OpenCL runtime loading, setting default OpenCL device via env var, many bug-fixes and some new optimization with OpenCL * bug-fixes and new optimizations in CUDA stuff * latest NDK and Android OS support, Native Android Camera tuning * minor fixes, XAML sample and MS Certification compatibility in WinRT stuff * 382 pull requests have been merged * 54 reported bugs have been fixed - Added pkgconfig(glu) Requires to devel package, as per .pc file - Make devel package provides also devel-static one - Drop assume-Sphinx-is-there.diff, and add improve-sphinx-search.diff, for properly finding sphinx with alphabetic chars in version- Add patch assume-Sphinx-is-there.diff to fix building with Sphinx versions that have alphanumeric characters in the version (Only for factory builds at the moment)- Use eigen3 instead of eigen2 as build requirement for openSUSE > 12.3. - Enable compilation with libucil and libunicap. - Removed dos2unix build requirement (not needed anymore).- Update to OpenCV 2.4.6.1 More info at: http://opencv.org/opencv-2-4-6-is-out.html The brief list of changes: * added video file i/o Windows RT and sample application using camera, enabled parallelization with TBB or MS Concurrency * added CUDA 5.5 support for desktop and ARM systems * added Qt 5 support * added many new OpenCL algorithms ports, included OpenCL binaries into the Windows superpack * iOS build scripts (together with Android ones) moved to ‘opencv/platforms’ directory * added functions for UIImage <-> cv::Mat conversion * correct front/back camera selection in Android app framework * added Linaro NDK support and fixes for MIPS to Android CMake toolchain * stability has been improved by a lot, numerous bug-fixes across all the library- build with LFS_CFLAGS in 32 bit archs.- Disable SSE3 for all architectures (bnc#814333)- Disable SSE(2) on non x86_64 architectures, causes crashing kde#276923, bnc#789173- Update to OpenCV 2.4.5 More info at: http://opencv.org/opencv-2-4-5-is-out.html The brief list of changes: * experimental WinRT support * new video super-resolution module * CLAHE (adaptive histogram equalization) algorithm on both CPU and GPU * further improvements and extensions in ocl module (stereo block matching and belief propagation have been added, fixed crashes on Intel HD4000) * Visual Studio 2012 cv::Mat visualizer plugin debugger tutorial from Microsoft Research * OpenCV4Android SDK improvements (NDK r8e support, native activity sample using OpenCV Manager, bug-fixes) * ~25 reported problems have been resolved since 2.4.4, ~78 pull requests have been merged, thanks everybody who participated!- Update to OpenCV 2.4.4 More info at: http://opencv.org/opencv-2-4-4-is-out.html The brief list of changes: * OpenCV Java bindings are ported from Android to desktop Java! Actually any JVM language will work, see Tutorial for details, and Java or Scala code samples. * Android application framework, samples, tutorials, and OpenCV Manager are improved. * Optimizations for the new NVIDIA Kepler architecture, CARMA platform support and other new optimizations in CUDA. * OpenCL module now builds successfully with various SDKs (from AMD, NVIDIA, Intel and Apple) and runs well on different GPUs (AMD, NVidia, Intel HD4000). A lot of new functionality has been added, tons of bugs fixed, performance of many functions has been significantly improved. * 100+ reported problems have been resolved since 2.4.3, thanks everybody who participated!- Drop the buildrequire for libxine- Update to OpenCV 2.4.3 More info at: http://opencv.org/opencv-2-4-3-released.html The nicely formatted changelog can be seen here: http://code.opencv.org/projects/opencv/wiki/ChangeLog; here are the highlights: * A lot of good stuff from the Google Summer of Code 2012 has been integrated; this was a very productive summer! * Significantly improved and optimized Android and iOS ports. * Greatly extended GPU (i.e. CUDA-based) module. * The brand new ocl (OpenCL-based) module that unleashes GPU power also for AMD and Intel GPU users. It’s not included into the binary package, since there are different SDKs, and it’s not turned on by default. You need to run CMake and turn on “WITH_OPENCL”. Also, please note that this is very first version of the module, so it may be not very stable and not very functional. * Much better performance on many-core systems out of the box. You do not need TBB anymore on MacOSX, iOS and Windows. BTW, the binary package for Windows is now built without TBB support. Libraries and DLLs for Visual Studio 2010 use the Concurrency framework. * About 130 bugs have been fixed since 2.4.2. * Since 2.4.3rc we fixed several more problems, in particular some compile problems with iOS 6 SDK.- buildrequire glu- Update to OpenCV 2.4.2 More info at: http://code.opencv.org/projects/opencv/wiki/ChangeLog - Drop opencv-datadir.patch to comply with upstream directory layout- Update to OpenCV 2.4.1 More info at: http://code.opencv.org/projects/opencv/wiki/ChangeLog- Update to OpenCV 2.4.0 More info at: http://code.opencv.org/projects/opencv/wiki/ChangeLog- Add opencv-gcc47.patch: Fix build with gcc 4.7.- Use Explicit Buildrequires on several needed libraries future dependency cleanups may/will cause build to fail otherwise.- Add upstream r6881 to fix clang compatibility- uncomment libraries not in 12.1 for now- Changed groups (fix for RPMLINT warning) - Added check for duplicate files (fix for RPMLINT warning) - Added py_requires macros and python-base dependencies (fix for RPMLINT warning) - Escaped macros (fix for RPMLINT warning) - Fixed end-of-line encoding problems (fix for RPMLINT warning) - Added libeigen2-devel buildrequires - Added libunicap and libucil buildrequires (libunicap supports requires libucil) - Cleaned up spec file formatting- Dropped opencv-2.3-ffmpeg.patch, applied upstream- Revive opencv-2.3-ffmpeg.patch, needs rebase - Tag all patches according to openSUSE packaging guidelines- Removed opencv-2.3-cmake.patch, old cmake cannot be used any more. - Python bindings cannot be built without NumPy any more.- Update to OpenCV 2.3.1- Update and readd opencv-2.3-underlinking.patch since it is still necessary.- Fix support for new ffmpeg versions- Removed unnecessary patches - Enable Python NumPy support on openSUSE 11.2 - Build Qt instead of Gtk GUI - Fix cmake files for openSUSE 11.1 - No GStreamer support on openSUSE 11.1- Update to OpenCV 2.3.0. More info at: http://opencv.willowgarage.com/wiki/OpenCV%20Change%20Logs- Fix build on openSUSE 11.2- Add opencv-v4l-2.6.38.patch: use the new libv4l2 interface- Enable Python NumPy support - SWIG is not required any more - Enable OpenEXR support- Update to OpenCV 2.2.0. More info at: http://opencv.willowgarage.com/wiki/OpenCV%20Change%20Logs- Use system zlib, oh, and do not export ZLIB symbols to other applications, clashes ensued.- fix build with gcc 4.6- add -underlinking patch- devel package renamed to opencv-devel, so that switching between OBS and packman opencv packages is easier- fix gstreamer support - fix xine support - fix some rpmlint warnings - fix shared libraries permissions- Do not waste resources building the tests as we do not run them- Do not disable SSE,SSE2,etc. According to OpenCV changelog, it should be safe to leave these enabled.- fix build on openSUSE 11.0- Update to OpenCV 2.1.0: * The whole OpenCV is now using exceptions instead of the old libc-style mechanism * Experimental "static" OpenCV configuration in CMake was contributed by Jose Luis Blanco. 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