Accepting request 814492 from home:StefanBruens:branches:science

- Update to 4.3.0
  * DNN module:
    + Improved layers / activations / supported more models:
      - ONNX: LSTM, Broadcasting, Algebra over constants, Slice with
	multiple inputs
      - DarkNet: grouped convolutions, sigmoid, swish, scale_channels
      - MobileNet-SSD v3: #16760
    + New samples / demos:
      - Clothes parts segmentation and CP-VTON
      - DaSiamRPN tracker
      Intel® Inference Engine backend (OpenVINO™):
      - added support for custom layers through nGraph OpenVINO
	API: #16628
      - nGraph OpenVINO API is used by default: #16746
    + Many fixes and optimizations in CUDA backend (thanks to
      @YashasSamaga)
    + OPEN AI LAB team submitted the patch that accelerates OpenCV
      DNN on ARM using their Tengine library
  * G-API module:
    + Introduced a new graph-level data type GOpaque<T>. This type
      can be used to pass arbitrary user data types between G-API
      nodes in the graph (supported for CPU/OpenCV backend only).
    + Introduced a way to declare G-API CPU (OpenCV) kernels in-place
    + Added a new sample "Privacy masking camera", combining Deep
      Learning with traditional Image Processing (link)
    + Added more operations in the default library: WarpAffine,
      WarpPerspective, NV12toGray.
  * Performance improvements:
    + IPP-ICV library with CPU optimizations has been updated to
      version 2020.0.0 Gold
    + SIMD intrinsics: integral, resize, (opencv_contrib) RLOF
      implementation #2476
  * And many other great contributions from OpenCV community:
    + (opencv_contrib) Computer Vision based Alpha Matting
      (GSoC 2019) #2306
    + calib3d: findChessboardCornersSB improvements: #16625
    + calib3d: updated documentation for RT matrices: #16860
    + core: improved getNumberOfCPUs(): #16268
    + imgproc: new algorithm HOUGH_GRADIENT_ALT is added to
      HoughCircles() function #16561. It has much better recall
      and precision
    + imgcodecs: added initial support for OpenJPEG library
      (version 2+): #16494
    + highgui(Qt): added Copy to clipboard: #16677
    + dnn: TensorFlow, Darknet and ONNX importers improvements
      by @ashishkrshrivastava
    + (opencv_contrib) added rapid module for silhouette based 3D
      object tracking: #2356
    + (opencv_contrib) SIFT detector is enabled by default due
      patents expiration (without requirement of NONFREE build
      option)
    + help materials: OpenCV Cheat Sheet in Python: #4875
  * Changes that can potentially break compatibility:
    + image filtering functions throws exception on empty input
      (voting results)
- Packaging changes:
  * Stop mangling CMake diagnostic output, no dependency versions
    end up in the packages anyway, drop opencv-build-compare.patch
  * Set empty OPENCV_DOWNLOAD_TRIES_LIST, skip downloads even when
    network is available during builds (e.g. local build).
  * Drop upstream GLES patches:
    + 0001-Do-not-include-glx.h-when-using-GLES.patch
    + opencv-gles.patch

OBS-URL: https://build.opensuse.org/request/show/814492
OBS-URL: https://build.opensuse.org/package/show/science/opencv?expand=0&rev=15
This commit is contained in:
Stefan Brüns 2020-06-14 20:35:02 +00:00 committed by Git OBS Bridge
parent 125187cca0
commit 077ded527d
9 changed files with 78 additions and 100 deletions

View File

@ -1,31 +0,0 @@
From 9be7aaacd55b6264f8b893277f3f44c1f2b37c47 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Stefan=20Br=C3=83=C2=BCns?= <stefan.bruens@rwth-aachen.de>
Date: Sat, 15 Jul 2017 21:14:07 +0200
Subject: [PATCH] Do not include glx.h when using GLES
---
modules/highgui/src/window_QT.cpp | 7 +++++--
1 file changed, 5 insertions(+), 2 deletions(-)
diff --git a/modules/highgui/src/window_QT.cpp b/modules/highgui/src/window_QT.cpp
index 4cfce66..baea0a2 100644
--- a/modules/highgui/src/window_QT.cpp
+++ b/modules/highgui/src/window_QT.cpp
@@ -54,9 +54,12 @@
#include <unistd.h>
#endif
+// Get GL_PERSPECTIVE_CORRECTION_HINT definition, not available in GLES 2 or
+// OpenGL 3 core profile or later
#ifdef HAVE_QT_OPENGL
- #if defined Q_WS_X11 /* Qt4 */ || defined Q_OS_LINUX /* Qt5 */
- #include <GL/glx.h>
+ #if defined Q_WS_X11 /* Qt4 */ || \
+ (!defined(QT_OPENGL_ES_2) && defined Q_OS_LINUX) /* Qt5 with desktop OpenGL */
+ #include <GL/gl.h>
#endif
#endif
--
2.13.2

View File

@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9ccb2192d7e8c03c58fee07051364d94ed7599363f3b0dce1c5e6cc11c1bb0ec
size 87808712

3
opencv-4.3.0.tar.gz Normal file
View File

@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:68bc40cbf47fdb8ee73dfaf0d9c6494cd095cf6294d99de445ab64cf853d278a
size 87941482

View File

@ -1,42 +0,0 @@
diff --git a/CMakeLists.txt b/CMakeLists.txt
index 8631bbc..60352a0 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -1099,11 +1099,11 @@ endif()
if(OPENCV_TIMESTAMP)
status(" Timestamp:" ${OPENCV_TIMESTAMP})
endif()
-status(" Host:" ${CMAKE_HOST_SYSTEM_NAME} ${CMAKE_HOST_SYSTEM_VERSION} ${CMAKE_HOST_SYSTEM_PROCESSOR})
+status(" Host:" "Linux")
if(CMAKE_CROSSCOMPILING)
status(" Target:" ${CMAKE_SYSTEM_NAME} ${CMAKE_SYSTEM_VERSION} ${CMAKE_SYSTEM_PROCESSOR})
endif()
-status(" CMake:" ${CMAKE_VERSION})
+status(" CMake:" "YES")
status(" CMake generator:" ${CMAKE_GENERATOR})
status(" CMake build tool:" ${CMAKE_BUILD_TOOL})
if(MSVC)
diff --git a/cmake/OpenCVUtils.cmake b/cmake/OpenCVUtils.cmake
index 9cba5d9..71f764c 100644
--- a/cmake/OpenCVUtils.cmake
+++ b/cmake/OpenCVUtils.cmake
@@ -922,15 +922,18 @@ function(status text)
if(${status_cond})
string(REPLACE ";" " " status_then "${status_then}")
string(REGEX REPLACE "^[ \t]+" "" status_then "${status_then}")
+ string(REGEX REPLACE "\\(ver [^\\)]+\\)" "" status_then "${status_then}")
ocv_output_status("${status_text} ${status_then}")
else()
string(REPLACE ";" " " status_else "${status_else}")
string(REGEX REPLACE "^[ \t]+" "" status_else "${status_else}")
+ string(REGEX REPLACE "\\(ver [^\\)]+\\)" "" status_else "${status_else}")
ocv_output_status("${status_text} ${status_else}")
endif()
else()
string(REPLACE ";" " " status_cond "${status_cond}")
string(REGEX REPLACE "^[ \t]+" "" status_cond "${status_cond}")
+ string(REGEX REPLACE "\\(ver [^\\)]+\\)" "" status_cond "${status_cond}")
ocv_output_status("${status_text} ${status_cond}")
endif()
else()

View File

@ -1,14 +0,0 @@
diff --git a/modules/highgui/src/window_QT.cpp b/modules/highgui/src/window_QT.cpp
index 9425c7b..9e3c156 100644
--- a/modules/highgui/src/window_QT.cpp
+++ b/modules/highgui/src/window_QT.cpp
@@ -3225,7 +3225,9 @@ void OpenGlViewPort::updateGl()
void OpenGlViewPort::initializeGL()
{
+#ifdef GL_PERSPECTIVE_CORRECTION_HINT
glHint(GL_PERSPECTIVE_CORRECTION_HINT, GL_NICEST);
+#endif
}
void OpenGlViewPort::resizeGL(int w, int h)

View File

@ -1,3 +1,70 @@
-------------------------------------------------------------------
Sat Jun 13 22:03:12 UTC 2020 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
- Update to 4.3.0
* DNN module:
+ Improved layers / activations / supported more models:
- ONNX: LSTM, Broadcasting, Algebra over constants, Slice with
multiple inputs
- DarkNet: grouped convolutions, sigmoid, swish, scale_channels
- MobileNet-SSD v3: #16760
+ New samples / demos:
- Clothes parts segmentation and CP-VTON
- DaSiamRPN tracker
Intel® Inference Engine backend (OpenVINO™):
- added support for custom layers through nGraph OpenVINO
API: #16628
- nGraph OpenVINO API is used by default: #16746
+ Many fixes and optimizations in CUDA backend (thanks to
@YashasSamaga)
+ OPEN AI LAB team submitted the patch that accelerates OpenCV
DNN on ARM using their Tengine library
* G-API module:
+ Introduced a new graph-level data type GOpaque<T>. This type
can be used to pass arbitrary user data types between G-API
nodes in the graph (supported for CPU/OpenCV backend only).
+ Introduced a way to declare G-API CPU (OpenCV) kernels in-place
+ Added a new sample "Privacy masking camera", combining Deep
Learning with traditional Image Processing (link)
+ Added more operations in the default library: WarpAffine,
WarpPerspective, NV12toGray.
* Performance improvements:
+ IPP-ICV library with CPU optimizations has been updated to
version 2020.0.0 Gold
+ SIMD intrinsics: integral, resize, (opencv_contrib) RLOF
implementation #2476
* And many other great contributions from OpenCV community:
+ (opencv_contrib) Computer Vision based Alpha Matting
(GSoC 2019) #2306
+ calib3d: findChessboardCornersSB improvements: #16625
+ calib3d: updated documentation for RT matrices: #16860
+ core: improved getNumberOfCPUs(): #16268
+ imgproc: new algorithm HOUGH_GRADIENT_ALT is added to
HoughCircles() function #16561. It has much better recall
and precision
+ imgcodecs: added initial support for OpenJPEG library
(version 2+): #16494
+ highgui(Qt): added Copy to clipboard: #16677
+ dnn: TensorFlow, Darknet and ONNX importers improvements
by @ashishkrshrivastava
+ (opencv_contrib) added rapid module for silhouette based 3D
object tracking: #2356
+ (opencv_contrib) SIFT detector is enabled by default due
patents expiration (without requirement of NONFREE build
option)
+ help materials: OpenCV Cheat Sheet in Python: #4875
* Changes that can potentially break compatibility:
+ image filtering functions throws exception on empty input
(voting results)
- Packaging changes:
* Stop mangling CMake diagnostic output, no dependency versions
end up in the packages anyway, drop opencv-build-compare.patch
* Set empty OPENCV_DOWNLOAD_TRIES_LIST, skip downloads even when
network is available during builds (e.g. local build).
* Drop upstream GLES patches:
+ 0001-Do-not-include-glx.h-when-using-GLES.patch
+ opencv-gles.patch
-------------------------------------------------------------------
Fri Jun 12 14:18:41 UTC 2020 - Stefan Brüns <stefan.bruens@rwth-aachen.de>

View File

@ -34,7 +34,7 @@
%bcond_without python3
%bcond_without openblas
Name: opencv
Version: 4.2.0
Version: 4.3.0
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
@ -44,12 +44,6 @@ URL: https://opencv.org/
Source0: https://github.com/opencv/opencv/archive/%{version}.tar.gz#/%{name}-%{version}.tar.gz
# This is the FACE module from the opencv_contrib package. Packaged separately to prevent too much unstable modules
Source1: https://github.com/opencv/opencv_contrib/archive/%{version}.tar.gz#/opencv_contrib-%{version}.tar.gz
# PATCH-FIX-OPENCSUSE opencv-gles.patch -- Make sure PERSPECTIVE_CORRECTION_HINT is validated first, https://github.com/opencv/opencv/issues/9171
Patch0: opencv-gles.patch
# PATCH-FIX-OPENSUSE opencv-build-compare.patch -- avoid republish if some random external version number changes
Patch1: opencv-build-compare.patch
# PATCH-FIX-OPENSUSE 0001-Do-not-include-glx.h-when-using-GLES.patch -- Fix build error on 32bit ARM, due to incompatible pointer types, https://github.com/opencv/opencv/issues/9171
Patch2: 0001-Do-not-include-glx.h-when-using-GLES.patch
# PATCH-FIX-OPENSUSE opencv-includedir.patch -- Fix wrong include path in pkgconfig file
Patch3: opencv-includedir.patch
BuildRequires: cmake
@ -58,6 +52,8 @@ BuildRequires: libeigen3-devel
BuildRequires: libjpeg-devel
BuildRequires: pkgconfig
BuildRequires: memory-constraints
# OpenJPEGTargets.cmake erroneously requires the binaries
BuildRequires: openjpeg2
BuildRequires: tbb-devel
BuildRequires: unzip
BuildRequires: pkgconfig(IlmBase)
@ -66,6 +62,7 @@ BuildRequires: pkgconfig(glu)
BuildRequires: pkgconfig(gstreamer-plugins-base-1.0)
BuildRequires: pkgconfig(libdc1394-2)
BuildRequires: pkgconfig(libgphoto2)
BuildRequires: pkgconfig(libopenjp2)
BuildRequires: pkgconfig(libpng)
BuildRequires: pkgconfig(libtiff-4)
BuildRequires: pkgconfig(libv4l2)
@ -235,6 +232,7 @@ rm -f doc/packaging.txt
-DOPENCV_SKIP_PYTHON_LOADER=ON \
-DOPENCV_PYTHON2_INSTALL_PATH=%{python2_sitearch} \
-DOPENCV_PYTHON3_INSTALL_PATH=%{python3_sitearch} \
-DOPENCV_DOWNLOAD_TRIES_LIST:STRING="" \
-DWITH_JASPER=OFF \
make %{?_smp_mflags} VERBOSE=1

View File

@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8a6b5661611d89baa59a26eb7ccf4abb3e55d73f99bb52d8f7c32265c8a43020
size 60482273

View File

@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:acb8e89c9e7d1174e63e40532125b60d248b00e517255a98a419d415228c6a55
size 60881379