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Accepting request 860308 from home:StefanBruens:branches:science

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- update to 4.5.1, highlights below, for details check
  https://github.com/opencv/opencv/wiki/ChangeLog#version451
  * Continued merging of GSoC 2020 results:
    + Develop OpenCV.js DNN modules for promising web use cases
      together with their tutorials
    + OpenCV.js: WASM SIMD optimization 2.0
    + High Level API and Samples for Scene Text Detection and
      Recognition
    + SIFT: SIMD optimization of GaussianBlur 16U
  * DNN module:
    + Improved layers / activations / supported more models:
      - optimized: 1D convolution, 1D pool
      - fixed: Resize, ReduceMean, Gather with multiple outputs,
        importing of Faster RCNN ONNX model
      - added support: INT32 ONNX tensors
    + Intel® Inference Engine backend (OpenVINO):
      - added support for OpenVINO 2021.2 release
      - added preview support for HDDL
    + Fixes and optimizations in DNN CUDA backend (thanks to
      @YashasSamaga)
  * G-API Framework:
    + Introduced serialization for cv::RMat, including
      serialization for user-defined memory adapters
    + Introduced desync, a new Operation for in-graph asynchronous
      execution - to allow different parts of the graph run with
      a different latency
    + Introduced a notion of "in-graph metadata", now various
      media-related information can be accessed in graph directly
      (currently only limited to timestamps and frame IDs)
    + Introduced a new generic task-based executor, based on
      Threading Building Blocks (TBB)
    + Extended infer<>() API to accept a new cv::GFrame data
      structure to allow handling of various media formats without
      changes in the graph structure
    + Made copy() an intrinsic where real copy may not happen
      (optimized out) based on graph structure, extended it to
      support cv::GFrame
    + Various fixes, including addressig static analysis,
      documentation, and test issues
  * G-API Operations:
    + Introduced new operations morphologyEx, boundingRect,
      fitLine, kmeans, Background Subtractor, Kalman filter
  * G-API Intel® Inference Engine backend (OpenVINO):
    + Extended cv::gapi::ie::Params<> to import CNN networks (e.g.
      pre-compiled ones) instead of passing .XML and .BIN files;
      also enabled configuring Inference Engine plugins via
      this structure
    + Added a new overload to infer<>() to run inference over a
      single region of interest
    + Added support for cv::MediaFrame input data type (projected
      from cv::GFrame) and handling for NV12 input image format
  * G-API Python bindings:
    + Exposed G-API's Inference and Streaming APIs in the OpenCV
      Python bindings
    + Added initial Python support for cv::GArray data structure
  * Significant progress on RISC-V port.
- Updated constraints, bump memory to 5 GB
- Cleaned up spec file

OBS-URL: https://build.opensuse.org/request/show/860308
OBS-URL: https://build.opensuse.org/package/show/science/opencv?expand=0&rev=23
This commit is contained in:
Stefan Brüns 2021-01-04 19:56:22 +00:00 committed by Git OBS Bridge
parent de974ff699
commit 0e74ac0496
7 changed files with 90 additions and 19 deletions
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4
_constraints
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@ -5,10 +5,10 @@
<size unit="G">13</size>
</disk>
<memory>
<size unit="M">3000</size>
<size unit="M">5000</size>
</memory>
<memoryperjob>
<size unit="M">1000</size>
<size unit="M">1400</size>
</memoryperjob>
</hardware>
</constraints>

3
opencv-4.5.0.tar.gz
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@ -1,3 +0,0 @@
version https://git-lfs.github.com/spec/v1
oid sha256:dde4bf8d6639a5d3fe34d5515eab4a15669ded609a1d622350c7ff20dace1907
size 90116240

3
opencv-4.5.1.tar.gz Normal file
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@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:e27fe5b168918ab60d58d7ace2bd82dd14a4d0bd1d3ae182952c2113f5637513
size 88245766

62
opencv.changes
View File

@ -1,3 +1,65 @@
-------------------------------------------------------------------
Sat Jan 2 16:30:59 UTC 2021 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
- update to 4.5.1, highlights below, for details check
https://github.com/opencv/opencv/wiki/ChangeLog#version451
* Continued merging of GSoC 2020 results:
+ Develop OpenCV.js DNN modules for promising web use cases
together with their tutorials
+ OpenCV.js: WASM SIMD optimization 2.0
+ High Level API and Samples for Scene Text Detection and
Recognition
+ SIFT: SIMD optimization of GaussianBlur 16U
* DNN module:
+ Improved layers / activations / supported more models:
- optimized: 1D convolution, 1D pool
- fixed: Resize, ReduceMean, Gather with multiple outputs,
importing of Faster RCNN ONNX model
- added support: INT32 ONNX tensors
+ Intel® Inference Engine backend (OpenVINO):
- added support for OpenVINO 2021.2 release
- added preview support for HDDL
+ Fixes and optimizations in DNN CUDA backend (thanks to
@YashasSamaga)
* G-API Framework:
+ Introduced serialization for cv::RMat, including
serialization for user-defined memory adapters
+ Introduced desync, a new Operation for in-graph asynchronous
execution - to allow different parts of the graph run with
a different latency
+ Introduced a notion of "in-graph metadata", now various
media-related information can be accessed in graph directly
(currently only limited to timestamps and frame IDs)
+ Introduced a new generic task-based executor, based on
Threading Building Blocks (TBB)
+ Extended infer<>() API to accept a new cv::GFrame data
structure to allow handling of various media formats without
changes in the graph structure
+ Made copy() an intrinsic where real copy may not happen
(optimized out) based on graph structure, extended it to
support cv::GFrame
+ Various fixes, including addressig static analysis,
documentation, and test issues
* G-API Operations:
+ Introduced new operations morphologyEx, boundingRect,
fitLine, kmeans, Background Subtractor, Kalman filter
* G-API Intel® Inference Engine backend (OpenVINO):
+ Extended cv::gapi::ie::Params<> to import CNN networks (e.g.
pre-compiled ones) instead of passing .XML and .BIN files;
also enabled configuring Inference Engine plugins via
this structure
+ Added a new overload to infer<>() to run inference over a
single region of interest
+ Added support for cv::MediaFrame input data type (projected
from cv::GFrame) and handling for NV12 input image format
* G-API Python bindings:
+ Exposed G-API's Inference and Streaming APIs in the OpenCV
Python bindings
+ Added initial Python support for cv::GArray data structure
* Significant progress on RISC-V port.
- Updated constraints, bump memory to 5 GB
- Cleaned up spec file
-------------------------------------------------------------------
Mon Nov 2 20:16:43 UTC 2020 - Stefan Brüns <stefan.bruens@rwth-aachen.de>

31
opencv.spec
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@ -1,7 +1,7 @@
#
# spec file for package opencv
#
# Copyright (c) 2019 SUSE LINUX GmbH, Nuernberg, Germany.
# Copyright (c) 2021 SUSE LLC
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
@ -15,6 +15,7 @@
# Please submit bugfixes or comments via https://bugs.opensuse.org/
#
# Build failure with LTO enabled on ppc64le boo#1146096
%ifarch ppc64le
%define _lto_cflags %{nil}
@ -23,7 +24,7 @@
%define libname lib%{name}
%define soname 4_5
# disabled by default as many fail
%bcond_with tests
%bcond_with tests
%bcond_without gapi
%bcond_without ffmpeg
%if %{suse_version} < 1550
@ -34,7 +35,7 @@
%bcond_without python3
%bcond_without openblas
Name: opencv
Version: 4.5.0
Version: 4.5.1
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
@ -268,11 +269,15 @@ cp opencv_contrib-%{version}/LICENSE LICENSE.contrib
rm -f doc/packaging.txt
%build
# openCV does not understand the standard RelWithDebinfo,
# but has a separate variable for it
# Dynamic dispatch: https://github.com/opencv/opencv/wiki/CPU-optimizations-build-options
# x86: disable SSE on 32bit, do not dispatch AVX and later - SSE3
# is the highest extension available on any non-64bit x86 CPU
# ARM: ARMv6, e.g. RPi1, only has VFPv2
%cmake \
-DCMAKE_BUILD_TYPE=Release \
-DBUILD_WITH_DEBUG_INFO=ON \
%if %{with tests}
-DBUILD_TESTS=ON \
%endif
@ -314,23 +319,16 @@ rm -f doc/packaging.txt
-DCPU_BASELINE=NEON \
-DCPU_DISPATCH=FP16 \
%endif
%if 0%{?suse_version} >= 1500
-DPYTHON_DEFAULT_EXECUTABLE=%{_bindir}/python3 \
%endif
-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 \
%{nil}
%cmake_build
%check
%if %{with tests}
export LD_LIBRARY_PATH=$(pwd)/build/lib:$LD_LIBRARY_PATH
%ctest
%endif
%install
%cmake_install
mkdir -p %{buildroot}%{_docdir}/%{name}-doc
@ -348,6 +346,17 @@ sed -i -e 's|//usr||g' %{buildroot}%{_libdir}/pkgconfig/opencv4.pc
%fdupes -s %{buildroot}%{_docdir}/%{name}-doc/examples
%fdupes -s %{buildroot}%{_includedir}
%check
%if %{with tests}
export LD_LIBRARY_PATH=$(pwd)/build/lib:$LD_LIBRARY_PATH
%ctest
# Diagnostics:
%{buildroot}%{_bindir}/opencv_version -v
%{buildroot}%{_bindir}/opencv_version -hw
grep -E 'model|stepping|flags' /proc/cpuinfo | head -n4
%endif
%post -n %{libname}%{soname} -p /sbin/ldconfig
%postun -n %{libname}%{soname} -p /sbin/ldconfig
%post -n libopencv_face%{soname} -p /sbin/ldconfig

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opencv_contrib-4.5.0.tar.gz
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oid sha256:a65f1f0b98b2c720abbf122c502044d11f427a43212d85d8d2402d7a6339edda
size 60115063

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opencv_contrib-4.5.1.tar.gz Normal file
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version https://git-lfs.github.com/spec/v1
oid sha256:12c3b1ddd0b8c1a7da5b743590a288df0934e5cef243e036ca290c2e45e425f5
size 60602431