Accepting request 890338 from science
OBS-URL: https://build.opensuse.org/request/show/890338 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/opencv?expand=0&rev=90
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<size unit="G">13</size>
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<size unit="G">13</size>
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<memory>
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<memory>
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<size unit="M">5000</size>
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<size unit="M">5500</size>
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<memoryperjob>
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<memoryperjob>
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<size unit="M">1400</size>
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<size unit="M">1500</size>
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</hardware>
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version https://git-lfs.github.com/spec/v1
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oid sha256:e27fe5b168918ab60d58d7ace2bd82dd14a4d0bd1d3ae182952c2113f5637513
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size 88245766
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3
opencv-4.5.2.tar.gz
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opencv-4.5.2.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae258ed50aa039279c3d36afdea5c6ecf762515836b27871a8957c610d0424f8
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size 88925795
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-------------------------------------------------------------------
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Sat May 1 12:25:46 UTC 2021 - Stefan Brüns <stefan.bruens@rwth-aachen.de>
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- update to 4.5.2, highlights below, for details check
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https://github.com/opencv/opencv/wiki/ChangeLog#version452
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* core: added support for parallel backends.
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* imgproc: added IntelligentScissors implementation (JS demo).
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* videoio: improved hardware-accelerated video de-/encoding tasks.
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* DNN module:
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+ Improved debugging of TensorFlow parsing errors: #19220
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+ Improved layers / activations / supported more models:
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- optimized: NMS processing, DetectionOutput
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- fixed: Div with constant, MatMul, Reshape
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(TensorFlow behaviour)
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- added support: Mish ONNX subgraph, NormalizeL2 (ONNX),
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LeakyReLU (TensorFlow), TanH + SAM (Darknet), Exp
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+ Intel® Inference Engine backend ( OpenVINO™ ):
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added support for OpenVINO 2021.3 release
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* G-API module:
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+ Python support:
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- Introduced a new Python backend - now G-API can run custom
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kernels written in Python as part of the pipeline: #19351
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- Extended Inference support in the G-API bindings: #19318
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- Added more graph data types in the G-API bindings: #19319
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+ Inference support:
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- Introduced dynamic input / CNN reshape functionality in the
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OpenVINO inference backend #18240
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- Introduced asynchronous execution support in the OpenVINO
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inference backend, now it can run in multiple parallel
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requests to increase stream density/throughput: #19487, #19425
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- Extended supported data types with INT64/INT32 in ONNX
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inference backend and with INT32 in the OpenVINO inference
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backend #19792
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- Introduced cv::GFrame / cv::MediaFrame and constant support
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in the ONNX backend: #19070
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+ Media support:
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- Introduced cv::GFrame / cv::MediaFrame support in the
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drawing/rendering interface: #19516
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- Introduced multi-stream input support in Streaming mode
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and frame synchronization policies to support cases like
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Stereo: #19731
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- Added Y and UV operations to access NV12 data of cv::GFrame
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at the graph level; conversions are done on-the-fly if the
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media format is different: #19325
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+ Operations and kernels:
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- Added performance tests for new operations (MorphologyEx,
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BoundingRect, FitLine, FindContours, KMeans, Kalman,
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BackgroundSubtractor)
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- Fixed RMat input support in the PlaidML backend: #19782
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- Added ARM NEON optimizations for Fluid AbsDiffC, AddWeighted,
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and bitwise operations: #18466, #19233
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- Other various static analysis and warning fixes
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+ Documentation:
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- [GSoC] Added TF/PyTorch classification conversion: #17604
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- [GSoC] Added TF/PyTorch segmentation conversion: #17801
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- [GSoC] Added TF/PyTorch detection model conversion: #18237
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- Updated documentation to address Wide Universal Intrinsics
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(WUI) SIMD API: #18952
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+ And many other great contributions from OpenCV community:
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- core: cuda::Stream constructor with stream flags: #19286
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- highgui: pollKey() implementation for w32 backend: #19411
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- imgcodecs: Added Exif parsing for PNG: #19439
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- imgcodecs: OpenEXR compression options: #19540
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- imgproc: connectedComponents optimizations: (Spaghetti
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Labeling): #19631
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- videoio: Android NDK camera support #19597
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- (contrib) WeChat QRCode module open source: #2821
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- (contrib) Implemented cv::cuda::inRange(): #2803
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- (contrib) Added algorithms from Edge Drawing Library: #2313
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- (contrib) Added Python bindings for Viz module: #2882
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- Add libva build dependency for HW accelerated videoio
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- Slight bump for memory constraints
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-------------------------------------------------------------------
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-------------------------------------------------------------------
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Thu Feb 11 10:49:40 UTC 2021 - Luigi Baldoni <aloisio@gmx.com>
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Thu Feb 11 10:49:40 UTC 2021 - Luigi Baldoni <aloisio@gmx.com>
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@ -35,7 +35,7 @@
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%bcond_without python3
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%bcond_without python3
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%bcond_without openblas
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%bcond_without openblas
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Name: opencv
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Name: opencv
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Version: 4.5.1
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Version: 4.5.2
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Release: 0
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Release: 0
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Summary: Collection of algorithms for computer vision
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Summary: Collection of algorithms for computer vision
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# GPL-2.0 AND Apache-2.0 files are in 3rdparty/ittnotify which is not build
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# GPL-2.0 AND Apache-2.0 files are in 3rdparty/ittnotify which is not build
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@ -65,6 +65,7 @@ BuildRequires: pkgconfig(libpng)
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BuildRequires: pkgconfig(libtiff-4)
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BuildRequires: pkgconfig(libtiff-4)
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BuildRequires: pkgconfig(libv4l2)
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BuildRequires: pkgconfig(libv4l2)
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BuildRequires: pkgconfig(libv4lconvert)
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BuildRequires: pkgconfig(libv4lconvert)
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BuildRequires: pkgconfig(libva)
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BuildRequires: pkgconfig(libwebp)
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BuildRequires: pkgconfig(libwebp)
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BuildRequires: pkgconfig(zlib)
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BuildRequires: pkgconfig(zlib)
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Provides: opencv-qt5 = %{version}
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Provides: opencv-qt5 = %{version}
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version https://git-lfs.github.com/spec/v1
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oid sha256:12c3b1ddd0b8c1a7da5b743590a288df0934e5cef243e036ca290c2e45e425f5
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size 60602431
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3
opencv_contrib-4.5.2.tar.gz
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3
opencv_contrib-4.5.2.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:9f52fd3114ac464cb4c9a2a6a485c729a223afb57b9c24848484e55cef0b5c2a
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size 60800680
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