Dominique Leuenberger 2019-10-17 10:16:22 +00:00 committed by Git OBS Bridge
commit 8fd005ea3b
6 changed files with 56 additions and 22 deletions

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opencv-4.1.2.tar.gz Normal file
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-------------------------------------------------------------------
Sat Oct 12 23:12:21 UTC 2019 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
- Update to 4.1.2
* DNN module:
+ Intel Inference Engine backend (OpenVINO):
- 2019R3 has been supported
- Support modern IE Core API
- New approach for custom layers management. Now all the OpenCV
layers fallbacks are implemented as IE custom layers which
helps to improve efficiency due less graph partitioning.
- High-level API which introduces dnn::Model class and set of
task-specific classes such dnn::ClassificationModel,
dnn::DetectionModel, dnn::SegmentationModel. It supports
automatic pre- and post-processing for deep learning networks.
* Performance improvements and platforms support:
+ MSA SIMD implementation has been contributed for MIPS platforms:
https://github.com/opencv/opencv/pull/15422
+ OpenCV.js optimization (threading and SIMD as part of GSoC
project): https://github.com/opencv/opencv/pull/15371
+ More optimizations using SIMD intrinsics: dotProd, FAST corners,
HOG, LK pyramid (VSX), norm, warpPerspective, etc
+ Fixed detection of Cascade Lake CPUs
* And many other great patches from OpenCV community:
+ GUI: support topmost window mode (Win32/COCOA):
https://github.com/opencv/opencv/pull/14872
+ Java: fix Mat.toString() for higher dimensions:
https://github.com/opencv/opencv/pull/15181
+ Implementation of colormap "Turbo"
https://github.com/opencv/opencv/pull/15388
+ QR-Code detection accuracy improvement:
https://github.com/opencv/opencv/pull/15356
+ GSoC: Add learning-based super-resolution module:
https://github.com/opencv/opencv_contrib/pull/2229 and
https://github.com/opencv/opencv_contrib/pull/2231
+ Detection accuracy improvement of the white marker aruco
corners: https://github.com/opencv/opencv_contrib/pull/2236
+ Added pattern generator tool for aruco:
https://github.com/opencv/opencv_contrib/pull/2250
+ and special thanks to @sturkmen72 for improvind and cleaning
up code of samples/tutorials
* Breaking changes:
+ fixed values thresholding accuracy in calcHist()
- Enable Graph API (G-API)
- Minor spec file cleanup
-------------------------------------------------------------------
Wed Aug 28 15:05:46 UTC 2019 - Marius Kittler <marius.kittler@suse.com>

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%define _lto_cflags %{nil}
%endif
# The ADE required for gapi is not yet packaged, disable it for now
%bcond_with gapi
%define libname lib%{name}
%define soname 4_1
# disabled by default as many fail
%bcond_with tests
%bcond_without qt5
%bcond_without gapi
%bcond_without ffmpeg
%bcond_without python2
%bcond_without python3
%bcond_without openblas
Name: opencv
Version: 4.1.1
Version: 4.1.2
Release: 0
Summary: Collection of algorithms for computer vision
# GPL-2.0 AND Apache-2.0 files are in 3rdparty/ittnotify which is not build
@ -80,28 +77,17 @@ BuildRequires: openblas-devel
%endif
%if %{with python2}
BuildRequires: pkgconfig(python)
%if 0%{?suse_version} > 1325
BuildRequires: python2-numpy-devel
%else
BuildRequires: python-numpy-devel
%endif
%endif
%if %{with python3}
BuildRequires: python3-numpy-devel
BuildRequires: pkgconfig(python3)
%endif
%if %{with qt5}
BuildRequires: pkgconfig(Qt5Concurrent) >= 5.2.0
BuildRequires: pkgconfig(Qt5Gui) >= 5.2.0
BuildRequires: pkgconfig(Qt5OpenGL) >= 5.2.0
BuildRequires: pkgconfig(Qt5Test) >= 5.2.0
BuildRequires: pkgconfig(Qt5Widgets) >= 5.2.0
%else
BuildRequires: pkgconfig(QtCore)
BuildRequires: pkgconfig(QtGui)
BuildRequires: pkgconfig(QtOpenGL)
BuildRequires: pkgconfig(QtTest)
%endif
%if %{with ffmpeg}
BuildRequires: pkgconfig(libavcodec)
BuildRequires: pkgconfig(libavformat)
@ -241,6 +227,8 @@ rm -f doc/packaging.txt
-DPYTHON_DEFAULT_EXECUTABLE=%{_bindir}/python3 \
%endif
-DOPENCV_SKIP_PYTHON_LOADER=ON \
-DOPENCV_PYTHON2_INSTALL_PATH=%{python2_sitearch} \
-DOPENCV_PYTHON3_INSTALL_PATH=%{python3_sitearch} \
make %{?_smp_mflags} VERBOSE=1

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