* Thu Jul 21 2016 email@example.com
- Enable ffmpeg support unconditional
* Tue Jun 07 2016 firstname.lastname@example.org
- In case we build using GCC6 (or newer), add -mlra to CFLAGS to
workaround gcc bug
* Wed May 25 2016 email@example.com
- Apply upstream patch opencv-gcc6-disable-pch.patch to disable
PCH for GCC6.
* Mon Mar 21 2016 firstname.lastname@example.org
- Test for python versions greater than or equal to the current
* Wed Mar 09 2016 email@example.com
- Add python 3 support
* Thu Mar 03 2016 firstname.lastname@example.org
- 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.
* Sun Feb 28 2016 email@example.com
- Added _constraints file to avoid random failures on small workers
(at least for builds on PMBS)
* Sat Feb 27 2016 firstname.lastname@example.org
- 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
+ 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
* Fri Jan 22 2016 email@example.com
- Reduce build-compare noise
* Wed Dec 23 2015 firstname.lastname@example.org
- Remove BuildRequirement for python-sphinx in SLE12, since it's
not available there and it's not a mandatory requirement.
* Tue Sep 22 2015 email@example.com
- Use pkgconfig for ffmpeg BuildRequires
* Fri Jul 24 2015 firstname.lastname@example.org
- 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"
* 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
* Wed Jun 10 2015 email@example.com
- opencv-gles.patch: support Qt5 built with GLES
* Mon Jan 26 2015 firstname.lastname@example.org
- Add specific buildrequires for libpng15, so that we are
building against the system provided libpng.
* Sat Jan 03 2015 email@example.com
- Enable Qt5 build for openCV. Unfortunately the Qt5 build will
conflict with the Qt4 version.
Added patch opencv-qt5-sobump.diff to have at least the libraries
enabled for co-installability
* Tue May 13 2014 firstname.lastname@example.org
- Update to OpenCV 2.4.9
More info at:
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.
* Sun Apr 06 2014 email@example.com
- 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
* Thu Apr 03 2014 firstname.lastname@example.org
- Add upstream patch (3.0 version) to support Gstreamer 1.x
* Thu Mar 13 2014 email@example.com
- Upstream now provides tarballs with source only as git tags
from github so update Source0 path.
* Wed Mar 12 2014 firstname.lastname@example.org
- Add requires on various X extensions linked to opencv_ts module.
As those are present in the .pc file we need it anyway.